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Experience Level
Senior
About the job
Duolingo seeks a Staff AI Research Engineer based in Pittsburgh, PA. This role centers on pushing language learning forward using current AI techniques.
What you will do
Collaborate with researchers and engineers to design and refine machine learning models for the Duolingo platform.
Build, test, and deploy advanced AI solutions aimed at improving how users learn languages.
Role focus
The position emphasizes hands-on work with modern AI methods to enhance the effectiveness and reach of Duolingo’s language learning tools.
Duolingo seeks a Staff AI Research Engineer based in Pittsburgh, PA. This role centers on pushing language learning forward using current AI techniques. What you will do Collaborate with researchers and engineers to design and refine machine learning models for the Duolingo platform. Build, test, and deploy advanced AI solutions aimed at improving how users …
Join Duolingo, a leading language-learning platform, as a Staff Product Researcher. In this role, you will collaborate with cross-functional teams to enhance our product offerings through innovative research practices. Your insights will directly influence product development and user experience, ensuring that our solutions meet the needs of our diverse user base.
Join Bosch Group as a Research Manager in our Pittsburgh office, where you will lead innovative research initiatives in Multimodal AI. You will play a pivotal role in advancing our AI technologies, collaborating with cross-functional teams, and driving projects from conception to implementation.
Bosch Group seeks an AI Research Scientist specializing in Generative AI to join its research team in Pittsburgh. The position involves exploring and advancing artificial intelligence and machine learning technologies. Role focus This role centers on the development of new approaches in generative AI, with an eye toward innovations that could influence multiple industries. Work will involve research, experimentation, and collaboration with other experts in the field. Location The position is based in Pittsburgh, where Bosch Group's research team works on a variety of AI initiatives.
About Us At Gather AI, we're not just developing software; we're transforming the landscape of warehouse intelligence. Our innovative vision-driven platform leverages autonomous drones and existing infrastructure to capture real-time data, digitizing traditionally manual workflows. This revolutionary approach enhances operational efficiency, safety, and accuracy, redefining what it means to deliver 'on-time, in full.' If you're eager to be part of groundbreaking technology that significantly impacts a crucial industry, Gather AI is your destination. Join us in leading the charge within the dynamic robotics sector, as we reshape the global supply chain, one intelligent warehouse at a time. About the Team This role is positioned at the intersection of our Autonomy, Machine Learning, Hardware, and Product teams. You will work collaboratively with engineers specializing in drone technology, MHE Vision, and embedded systems. You'll also partner with the Product team to define scanning accuracy requirements and collaborate with Hardware and Operations to optimize camera mounting, lighting, and deployment in real-world warehouse settings. About the Role We are in search of a Staff Perception Engineer to take comprehensive technical ownership of one of Gather AI's two primary production platforms: our drone-based inventory scanning system or our MHE Vision product, which are currently implemented in customer warehouses. Your role will involve applying systems-level rigor to enhance a platform that is already functional, with goals of accelerating deployment, streamlining operation, and improving reliability at scale. This is a high-ownership, high-impact position, essential to ensuring the quality of every scan performed by our system. You will guide the technical direction and deliver measurable impacts on production systems serving real clients. What You’ll Do Conduct an audit of the camera and imaging subsystems across MHEV and Modal: assess current performance metrics (barcode decode rates, read distances, motion blur effects), and identify primary bottlenecks. Research, evaluate, and select camera and sensor hardware, specifying resolution, sensor size, lens options, and exposure controls suitable for industrial warehouse environments. Implement and fine-tune auto-exposure, gain control, and lighting strategies to adapt to variable warehouse lighting conditions, including mitigating motion blur for dynamic platforms. Develop image quality metrics and monitoring systems to sustain performance as deployments expand. Collaborate with the ML team to ensure that perception model inputs align with training and inference quality standards.
Field AI develops artificial intelligence systems that help robots interpret and interact with their surroundings. The team emphasizes reliable, risk-aware solutions for complex robotics problems. Their technology goes beyond standard data-driven and transformer-based methods, with real-world deployments that improve through continued use. The Summer 2026 Robotics Research Internship in Robot Learning takes place in Pittsburgh, PA. This position is designed for PhD students interested in advancing robot learning, focusing on large-scale learning, foundational models, and robotics applications that extend beyond laboratory settings. What you will do Collaborate with Field AI researchers and engineers to investigate new directions in robot learning and autonomy Develop scalable learning methods that adapt across various tasks and robotic platforms Design experiments and construct learning pipelines Test and validate research on physical robotic systems Contribute to Field AI's autonomy stack, which is deployed in real-world scenarios Who should apply PhD candidates aiming to bridge advanced AI research with practical robotics work Individuals interested in both foundational research and hands-on implementation This internship allows participants to make a tangible impact in robotics through research and real-world experimentation.
Join Bosch Group as a Research Scientist specializing in Multi-modal Sensing AI. In this exciting role, you will engage in cutting-edge research and development, focusing on innovative AI methodologies that leverage diverse sensing modalities. Collaborate with a dynamic team, contribute to impactful projects, and drive advancements in technology that shape the future.
field-ai is hiring a Robotics Research Intern for Summer 2026 in Pittsburgh, PA. This internship centers on robot learning and hands-on research. Role overview Interns will join ongoing research projects in robotics. Collaboration with experienced professionals is a key part of the role, providing exposure to current advancements in the field. What you will do Contribute to research in robot learning Work alongside robotics experts on active projects Support progress in robotics through practical research tasks Location This position is based in Pittsburgh, PA.
Join Bosch Group as a Research Scientist specializing in Cyber-Physical AI & Reasoning. In this role, you will work on cutting-edge research projects that integrate artificial intelligence with physical systems, contributing to innovative solutions that can change industries and improve lives.
Full-time|$200K/yr - $285K/yr|On-site|Pittsburgh, Pennsylvania, United States
Mission Summary: Join our innovative team as a Staff/Principal Engineer specializing in Perception Capabilities. In this pivotal role, you will leverage advanced computer vision and deep learning technologies to develop state-of-the-art software solutions. Your extensive experience will encompass critical domains such as detection, classification, segmentation, and tracking, alongside essential functions like data engines, labeling policies, training pipelines, model optimization, simulation, and testing. Your commitment to excellence will drive substantial impact on our products, as you take initiative and ownership of outcomes. We are looking for someone eager to enhance the perception stack of self-driving vehicles. You will navigate unique challenges associated with safety-critical, open-world applications, ensuring rigorous engineering excellence and thorough evaluation. You will devise innovative solutions to complex issues, collaborating with interdisciplinary teams focused on capabilities to design, implement, and validate comprehensive solutions. What you’ll be doing: Lead the development and implementation of solutions that integrate perception components with downstream modules within our autonomy system. Analyze the performance of the perception subsystem, proactively identifying potential limitations regarding system-level capabilities. Document and lead cross-team efforts to resolve any identified hazards. Collaborate on innovative solutions to tackle “long tail” challenges, including synthetic data generation, advanced data mining, or utilizing language embeddings in onboard models. Depending on your expertise, you may also assist in optimizing and deploying models to vehicles, ensuring compliance with the constraints of our onboard hardware and functional requirements. Interface with systems and safety engineers, test engineers, and data analysts to ensure accurate requirements, test coverage, and performance metrics.
Full-time|$144K/yr - $191.3K/yr|On-site|Pittsburgh, Pennsylvania, United States
Join Motional's Pittsburgh office, located in the vibrant Hazelwood Green development, a key initiative aimed at revitalizing the neighborhood with thoughtful and sustainable practices. Enjoy stunning views of the Monongahela River while working in this state-of-the-art facility.Mission Overview:We are excited to announce an opening for a highly driven Staff Engineer in our newly established Design Release Engineering team, part of the Vehicle Platform Engineering group. This pivotal role will be responsible for overseeing the design release and integration of our autonomous vehicle's compute and connectivity subsystem. As the primary technical authority, you will guide the end-to-end design, validation, and production readiness of our cutting-edge compute hardware and controllers. Your efforts will ensure robust technical execution, facilitate supplier and cross-functional collaboration, and deliver hardware that meets performance, cost, and schedule targets.Your Responsibilities:Lead the comprehensive design release of high-performance compute and connectivity hardware, covering mechanical mounting, thermal management, electrical interfaces, and vehicle network integration.Drive technical execution throughout the product lifecycle, from initial concept through to ongoing engineering support and improvements.Oversee the creation and release of all engineering documentation, including models, drawings, Bills of Material (BOM), specifications, and test reports, ensuring they align with vehicle-level design.Define and maintain the Design Verification Plan & Report (DVP&R), ensuring successful validation against system performance objectives.Manage the Engineering Change (ECN) process for compute and connectivity hardware, ensuring transparency, cost impact analysis, version control, and comprehensive cross-functional agreement.Act as the main technical and program liaison with suppliers (Tier 1 and Tier 2), monitoring part maturity through DV, PV, and PPAP phases to guarantee tooling and delivery readiness.Cultivate strong partnerships with Systems Engineering, Autonomy, Software Infrastructure, Quality, and Vehicle Integration teams to ensure seamless hardware integration and manufacturability (DFM/DFA).Lead technical program reviews and design readiness assessments, proactively developing risk mitigation strategies to align compute hardware maturity with program milestones.Provide consistent, concise updates to technical leadership regarding design maturity, validation progress, outstanding issues, and timely resolution metrics.
About UsAurora is dedicated to advancing the benefits of self-driving technology in a safe, swift, and widespread manner.Discover the Aurora Driver which aims to usher in a new era of mobility and logistics, enhancing safety, efficiency, and accessibility for all.At Aurora, you will collaborate with a team of passionate and intelligent individuals, tackling complex challenges while furthering your expertise. Stay updated on our latest developments by visiting aurora.tech or following us on LinkedIn.Aurora seeks talented individuals from diverse backgrounds who are eager to contribute to the future of transportation, aiming to enhance road safety, deliver essential goods efficiently, and promote accessible mobility for everyone. We are currently looking for a highly skilled Staff Backend Software Engineer to join our Aurora Services Engineering team, playing a pivotal role in developing our fleet management tools.The Aurora Services Engineering team builds comprehensive solutions, including backend services, web applications, mobile apps, and real-time onboard code, facilitating the large-scale commercial operation of autonomous vehicle fleets. Our goal is to create software that manages the commercial aspects of our platform, including task assignment for autonomous vehicles, remote support, fleet management, and customer order processing. As we prepare to significantly expand our fleet and integrate with partners on an API level, our tools are essential for the smooth daily operations of our business.As a Staff Backend Software Engineer, you will be part of a team that develops solutions for autonomous vehicle terminal operations, overseeing the launch and landing of vehicles at locations owned by Aurora and our major clients. You will enhance existing products and design entirely new features, making substantial contributions to the efficiency of terminal operations at Aurora.
Join Waabi, a trailblazer in the field of Physical AI, founded by AI pioneer Raquel Urtasun. We are at the forefront of revolutionizing autonomous transportation, leveraging cutting-edge technology to power commercial autonomous trucks and robotaxis. Our esteemed partnerships with industry leaders in AI, automotive, logistics, and deep tech fuel our mission.With a rapidly expanding presence across offices in Toronto, San Francisco, Dallas, and Pittsburgh, we are actively seeking diverse, innovative, and collaborative individuals eager to make a positive impact on the world. Discover more at: www.waabi.aiAs we scale through 2026, our Infrastructure team is committed to enhancing our ML infrastructure for improved efficiency while ensuring our engineering and research systems operate seamlessly. We are looking for a candidate with substantial experience in designing, implementing, and troubleshooting physical computer systems and networks, as well as cloud systems when necessary. The ideal candidate will collaborate closely with our hardware team to design and implement vehicle computing and networking solutions, actively contributing to our physical infrastructure to support machine learning initiatives, CI systems, and software delivery.Key Responsibilities:- Collaborate with a multidisciplinary team of engineers and researchers, using an AI-first approach to facilitate safe self-driving at scale.- Partner with the hardware team on the design and implementation of vehicle computing and networking solutions.- Coordinate with software and hardware teams for operating system and software deployment in vehicles.- Assist in performance tuning and diagnostics for vehicle computing and networks as required.- Work collaboratively with teams to implement and maintain high-volume data pipelines.- Engage in various projects focused on designing, building, and deploying tools, systems, and infrastructure that support vehicle development.- Design and implement high-performance physical networks and computing systems.Qualifications:- BS, MS/PhD in Computer Science or a related technical field, or equivalent practical experience.- Over 5 years of relevant industry experience.
Compensation: $117,300 - $173,060Join Gray Swan AI as a Machine Learning Engineer and contribute to enhancing AI safety solutions. You will engage in impactful research and development, focusing on adversarial testing, model evaluation, and robust inference. Your work will bridge the gap between theoretical research and practical implementation, ensuring AI systems can withstand adversarial challenges.Utilize your expertise in cutting-edge deep learning architectures and distributed systems to tackle complex problems and advance our methodologies for monitoring and analyzing machine learning models in production environments. Collaborate with a dynamic team of professionals dedicated to making a difference in AI security.Be part of a growing company at the forefront of AI safety, where your contributions will shape the future of secure AI systems!
At Gray Swan, we are dedicated to safeguarding organizations from the evolving threats posed by artificial intelligence. Our team of approximately 25 talented professionals is committed to developing cutting-edge solutions for real-time threat detection, automated validation, and adaptive defenses specifically tailored for AI labs and enterprises.As a well-funded and rapidly growing company, we boast a robust client base that includes globally recognized names. This translates into a workplace where every employee is entrusted with significant responsibilities and equity from the outset. You will thrive in a high-ownership environment, tackling complex challenges and playing a pivotal role in shaping both our product offerings and company direction.Many join Gray Swan not just for a job, but for a mission that resonates. Our commitment to impactful work in AI safety drives our engineers and researchers, instilling a profound sense of purpose.The RoleIn your capacity as a Senior Sales Engineer at Gray Swan, you will spearhead technical pre-sales initiatives for our AI security platform. Acting as a trusted technical advisor, you will assist enterprise customers in assessing how to secure, govern, and deploy advanced AI systems effectively in their production environments.You will collaborate closely with Account Executives on complex, high-stakes opportunities, taking ownership of the technical narrative from initial discovery through to closing. This role demands a high level of technical credibility, keen commercial instincts, and the ability to distill complex AI security risks into clear, compelling solutions for both technical and executive audiences.This is a hands-on, client-facing role in dynamic environments where clients are often defining their AI security strategies for the first time.Key Responsibilities:Act as the technical lead on enterprise sales opportunities, collaborating with Account Executives to develop and execute effective deal strategies.Lead technical discovery sessions with customer security, AI, and platform teams to assess architectures, threat models, and operational limitations.Establish technical win strategies that include solution designs, evaluation plans, and success metrics.Serve as a trusted advisor to senior stakeholders throughout the purchasing process.Expertise in AI Security & Solution DevelopmentClearly communicate and demonstrate how the Gray Swan platform identifies vulnerabilities in AI systems and the measures required to mitigate these risks.
About Aurora Aurora Innovation is dedicated to advancing transportation by safely and quickly deploying self-driving technology. The company aims to make mobility and logistics safer, more efficient, and accessible for everyone. Discover the Aurora Driver to learn more about Aurora's core technology. Role Overview: Senior Staff Software Engineer - Vehicle I/O This Senior Staff Software Engineer position sits within the Vehicle Connectivity team in Pittsburgh, Pennsylvania. The team builds and maintains Aurora’s vehicle connectivity stack, which underpins secure, reliable, and observable communications between self-driving vehicles and the cloud.
Full-time|$180K/yr - $180K/yr|Remote|Pittsburgh, PA
At Tiger Data, previously known as Timescale, we provide developers and businesses with the fastest PostgreSQL platform tailored for transactional, analytical, and agentic workloads. Trusted by thousands of organizations worldwide, Tiger Data accelerates real-time insights, fosters intelligent applications, and supports critical infrastructure at scale. Our remote-first, globally distributed team emphasizes direct communication, accountability, and collaborative excellence, driving the future of data infrastructure designed for speed, flexibility, and simplicity.At Tiger Data, we are not treating AI as an ancillary project; we are fundamentally reimagining how go-to-market teams function.This role is positioned at the crossroads of RevOps, Sales, Marketing, and Product, directly reporting to the Head of RevOps. It is a builder's role for someone who inherently identifies inefficiencies in the GTM process and instinctively seeks solutions.Previous job titles are not a prerequisite. Many successful individuals in this position have come from adjacent fields (SDR, RevOps, Growth, Engineering) and have self-taught their way to success. The unifying factor among them is intellectual curiosity, creativity, and a propensity for experimentation.You will not receive a completely defined roadmap; however, you will collaborate closely with GTM leaders to pinpoint where your contributions can yield the greatest impact.If you are the type of person who sees a flawed process and thinks, “I could automate that by tonight,” you will thrive in this environment.This position is remote, with a strong preference for candidates located in Pittsburgh or similar US markets.Key Responsibilities:Identify inefficiencies across Sales, Marketing, and RevOps and proactively address them.Design and implement AI-driven workflows, tools, and MVPs (primarily for internal use, occasionally customer-facing).Automate repetitive GTM processes (lead enrichment, outbound personalization, CRM workflows, routing, etc.).Engage in rapid experimentation: transitioning from idea to prototype to live usage in days.Collaborate with various teams to deeply understand challenges and deliver actionable solutions.Serve as an internal thought partner regarding the transformative potential of AI in our GTM approach.Continuously investigate new AI tools, workflows, and concepts, integrating the best into our operations.
About Gray Swan AIAt Gray Swan AI, we are dedicated to safeguarding organizations from the evolving threats in AI security. Our innovative solutions focus on real-time threat detection, automated validation, and adaptive defenses tailored for AI labs and enterprises. With a compact yet skilled team of approximately 25 individuals, we are well-funded and rapidly expanding.Our strong market presence and globally recognized clientele empower our employees with significant responsibilities and meaningful equity from the start. This is a high-ownership environment where you will tackle challenging problems, work swiftly, and contribute to shaping both our products and the company’s future.Many join Gray Swan AI because our mission resonates deeply. We engage in practical, impactful work in AI safety, and this sense of purpose is a key reason why engineers and researchers are drawn to our team.Discover more about our work culture.The RoleWe are seeking a passionate Senior Software Engineer eager to engage in full-cycle development. You will work across the entire stack—frontend, backend APIs, and databases—transforming ideas into tangible products and enhancing existing solutions.While you may not have experience with all the tools we utilize, having a robust full-stack background, the ability to quickly learn new technologies, and the willingness to own your projects without excessive process or oversight is essential. As we are still in our growth phase, individuals who thrive on autonomy, responsibility, and speed will find this opportunity appealing!What You’ll Do:Design and develop web applications utilizing modern frontend frameworks such as Svelte.Create intuitive and user-friendly interfaces that enhance user experience.Develop and maintain backend APIs with tools like FastAPI.Optimize and manage database systems such as MongoDB.Collaborate with our machine learning research team to integrate AI functionalities into our products.Who You Are:Proficient in TypeScript or JavaScript.Experience with frontend frameworks like React, Vue, or Svelte.Strong grasp of HTML and CSS.Hands-on experience in building backend APIs.Familiarity with database systems (SQL or NoSQL; MongoDB experience is a plus).
About Gray Swan AIAt Gray Swan AI, we are dedicated to safeguarding organizations from the rapidly evolving threats posed by artificial intelligence. Our innovative solutions focus on real-time threat detection, automated validation, and adaptive defenses specifically designed for AI laboratories and enterprises. With a compact team of around 25 individuals, we are well-funded and experiencing rapid growth.Our impressive client base includes globally recognized organizations, providing our employees with significant responsibilities and meaningful equity from day one. We foster a high-ownership environment where you will tackle challenging problems, accelerate your projects, and contribute to shaping both our products and the company's direction.Many of our team members are motivated by our mission. We are engaged in practical, high-impact work in AI safety, which is a fundamental reason why engineers and researchers choose to join us.Discover more about our approach.The RoleWe are seeking a dynamic Full Stack Software Engineer who is excited about building comprehensive solutions and isn’t afraid to dive into various aspects of development. You will engage with the entire technology stack—from frontend interfaces to backend APIs and database management—transforming ideas into tangible products and enhancing existing systems.While familiarity with all our tools isn’t mandatory, what matters is your robust full-stack experience, agility in learning new technologies, and comfort in taking ownership of your projects without extensive supervision. As we are in the early stages of our growth, this role suits those who thrive in an autonomous, fast-paced environment.What You’ll Do:Design and create web applications using cutting-edge frontend frameworks like Svelte.Build intuitive and user-friendly interfaces that enhance the user experience.Develop and maintain backend APIs employing tools such as FastAPI.Manage and optimize database systems, with a focus on MongoDB.Collaborate closely with our machine learning research team to weave AI functionalities into our offerings.Who You Are:Proficient in TypeScript or JavaScript.Experienced with frontend frameworks like React, Vue, or Svelte.Strong understanding of HTML and CSS.Hands-on experience developing backend APIs.Familiarity with database systems, both SQL and NoSQL, with MongoDB being a plus.
Full-time|Remote|Pittsburgh, PA; Open to Remote (US)
About Us At Gather AI, we are on a mission to revolutionize the supply chain industry through innovative technology. Our cutting-edge, vision-powered platform harnesses the power of autonomous drones and existing equipment to capture real-time data, effectively digitizing workflows that have traditionally been manual and prone to errors. This transformation allows warehouses to operate with enhanced intelligence, safety, and efficiency, thus redefining the standards for timely delivery. If you are eager to contribute to groundbreaking technology and have a meaningful impact in a crucial sector, Gather AI is the perfect fit for you. We are at the forefront of the rapidly advancing robotics field, and we invite you to join us as we reshape the global supply chain, one intelligent warehouse at a time. About the Team You will collaborate closely with systems engineers on our MHE Vision platform, engage with the MHEV team for integrated system testing and debugging, and work alongside the ML team to validate model outputs against ground truth data. You will also liaise with Customer Support and Product Management to address field-reported edge cases and quality priorities. About the Role We are seeking a dynamic Test Engineer to join our Pittsburgh team, enhancing the testing and validation framework for our MHE Vision platform. You will engage with real data and systems, analyzing large transaction datasets to derive ground truth, building and maintaining regression test infrastructure, and participating in integrated system tests within our lab environment. This is a high-impact, early-career opportunity that offers significant ownership and visibility. Your analyses will directly enhance product quality for our customers, and you will have the chance to advance into roles focused on test automation, systems engineering, or QA leadership as the company grows. What You’ll Do Manually analyze extensive transaction datasets (100+ records) to extract ground truth, detect anomalies, mismatches, and edge cases, and validate system outputs against expected behavior. Construct and manage regression test infrastructure, incorporating new edge cases identified from field deployments into the existing test suite. Engage in integrated system tests in our Pittsburgh lab alongside systems engineers, executing test procedures and documenting results. Conduct first-level root cause analysis (RCA) on test failures, clearly communicating issues to the respective engineering teams. Develop structured processes for collecting and cataloging field edge cases into repeatable test cases. Contribute to the continuous improvement of testing methodologies and practices.
Duolingo seeks a Staff AI Research Engineer based in Pittsburgh, PA. This role centers on pushing language learning forward using current AI techniques. What you will do Collaborate with researchers and engineers to design and refine machine learning models for the Duolingo platform. Build, test, and deploy advanced AI solutions aimed at improving how users …
Join Duolingo, a leading language-learning platform, as a Staff Product Researcher. In this role, you will collaborate with cross-functional teams to enhance our product offerings through innovative research practices. Your insights will directly influence product development and user experience, ensuring that our solutions meet the needs of our diverse user base.
Join Bosch Group as a Research Manager in our Pittsburgh office, where you will lead innovative research initiatives in Multimodal AI. You will play a pivotal role in advancing our AI technologies, collaborating with cross-functional teams, and driving projects from conception to implementation.
Bosch Group seeks an AI Research Scientist specializing in Generative AI to join its research team in Pittsburgh. The position involves exploring and advancing artificial intelligence and machine learning technologies. Role focus This role centers on the development of new approaches in generative AI, with an eye toward innovations that could influence multiple industries. Work will involve research, experimentation, and collaboration with other experts in the field. Location The position is based in Pittsburgh, where Bosch Group's research team works on a variety of AI initiatives.
About Us At Gather AI, we're not just developing software; we're transforming the landscape of warehouse intelligence. Our innovative vision-driven platform leverages autonomous drones and existing infrastructure to capture real-time data, digitizing traditionally manual workflows. This revolutionary approach enhances operational efficiency, safety, and accuracy, redefining what it means to deliver 'on-time, in full.' If you're eager to be part of groundbreaking technology that significantly impacts a crucial industry, Gather AI is your destination. Join us in leading the charge within the dynamic robotics sector, as we reshape the global supply chain, one intelligent warehouse at a time. About the Team This role is positioned at the intersection of our Autonomy, Machine Learning, Hardware, and Product teams. You will work collaboratively with engineers specializing in drone technology, MHE Vision, and embedded systems. You'll also partner with the Product team to define scanning accuracy requirements and collaborate with Hardware and Operations to optimize camera mounting, lighting, and deployment in real-world warehouse settings. About the Role We are in search of a Staff Perception Engineer to take comprehensive technical ownership of one of Gather AI's two primary production platforms: our drone-based inventory scanning system or our MHE Vision product, which are currently implemented in customer warehouses. Your role will involve applying systems-level rigor to enhance a platform that is already functional, with goals of accelerating deployment, streamlining operation, and improving reliability at scale. This is a high-ownership, high-impact position, essential to ensuring the quality of every scan performed by our system. You will guide the technical direction and deliver measurable impacts on production systems serving real clients. What You’ll Do Conduct an audit of the camera and imaging subsystems across MHEV and Modal: assess current performance metrics (barcode decode rates, read distances, motion blur effects), and identify primary bottlenecks. Research, evaluate, and select camera and sensor hardware, specifying resolution, sensor size, lens options, and exposure controls suitable for industrial warehouse environments. Implement and fine-tune auto-exposure, gain control, and lighting strategies to adapt to variable warehouse lighting conditions, including mitigating motion blur for dynamic platforms. Develop image quality metrics and monitoring systems to sustain performance as deployments expand. Collaborate with the ML team to ensure that perception model inputs align with training and inference quality standards.
Field AI develops artificial intelligence systems that help robots interpret and interact with their surroundings. The team emphasizes reliable, risk-aware solutions for complex robotics problems. Their technology goes beyond standard data-driven and transformer-based methods, with real-world deployments that improve through continued use. The Summer 2026 Robotics Research Internship in Robot Learning takes place in Pittsburgh, PA. This position is designed for PhD students interested in advancing robot learning, focusing on large-scale learning, foundational models, and robotics applications that extend beyond laboratory settings. What you will do Collaborate with Field AI researchers and engineers to investigate new directions in robot learning and autonomy Develop scalable learning methods that adapt across various tasks and robotic platforms Design experiments and construct learning pipelines Test and validate research on physical robotic systems Contribute to Field AI's autonomy stack, which is deployed in real-world scenarios Who should apply PhD candidates aiming to bridge advanced AI research with practical robotics work Individuals interested in both foundational research and hands-on implementation This internship allows participants to make a tangible impact in robotics through research and real-world experimentation.
Join Bosch Group as a Research Scientist specializing in Multi-modal Sensing AI. In this exciting role, you will engage in cutting-edge research and development, focusing on innovative AI methodologies that leverage diverse sensing modalities. Collaborate with a dynamic team, contribute to impactful projects, and drive advancements in technology that shape the future.
field-ai is hiring a Robotics Research Intern for Summer 2026 in Pittsburgh, PA. This internship centers on robot learning and hands-on research. Role overview Interns will join ongoing research projects in robotics. Collaboration with experienced professionals is a key part of the role, providing exposure to current advancements in the field. What you will do Contribute to research in robot learning Work alongside robotics experts on active projects Support progress in robotics through practical research tasks Location This position is based in Pittsburgh, PA.
Join Bosch Group as a Research Scientist specializing in Cyber-Physical AI & Reasoning. In this role, you will work on cutting-edge research projects that integrate artificial intelligence with physical systems, contributing to innovative solutions that can change industries and improve lives.
Full-time|$200K/yr - $285K/yr|On-site|Pittsburgh, Pennsylvania, United States
Mission Summary: Join our innovative team as a Staff/Principal Engineer specializing in Perception Capabilities. In this pivotal role, you will leverage advanced computer vision and deep learning technologies to develop state-of-the-art software solutions. Your extensive experience will encompass critical domains such as detection, classification, segmentation, and tracking, alongside essential functions like data engines, labeling policies, training pipelines, model optimization, simulation, and testing. Your commitment to excellence will drive substantial impact on our products, as you take initiative and ownership of outcomes. We are looking for someone eager to enhance the perception stack of self-driving vehicles. You will navigate unique challenges associated with safety-critical, open-world applications, ensuring rigorous engineering excellence and thorough evaluation. You will devise innovative solutions to complex issues, collaborating with interdisciplinary teams focused on capabilities to design, implement, and validate comprehensive solutions. What you’ll be doing: Lead the development and implementation of solutions that integrate perception components with downstream modules within our autonomy system. Analyze the performance of the perception subsystem, proactively identifying potential limitations regarding system-level capabilities. Document and lead cross-team efforts to resolve any identified hazards. Collaborate on innovative solutions to tackle “long tail” challenges, including synthetic data generation, advanced data mining, or utilizing language embeddings in onboard models. Depending on your expertise, you may also assist in optimizing and deploying models to vehicles, ensuring compliance with the constraints of our onboard hardware and functional requirements. Interface with systems and safety engineers, test engineers, and data analysts to ensure accurate requirements, test coverage, and performance metrics.
Full-time|$144K/yr - $191.3K/yr|On-site|Pittsburgh, Pennsylvania, United States
Join Motional's Pittsburgh office, located in the vibrant Hazelwood Green development, a key initiative aimed at revitalizing the neighborhood with thoughtful and sustainable practices. Enjoy stunning views of the Monongahela River while working in this state-of-the-art facility.Mission Overview:We are excited to announce an opening for a highly driven Staff Engineer in our newly established Design Release Engineering team, part of the Vehicle Platform Engineering group. This pivotal role will be responsible for overseeing the design release and integration of our autonomous vehicle's compute and connectivity subsystem. As the primary technical authority, you will guide the end-to-end design, validation, and production readiness of our cutting-edge compute hardware and controllers. Your efforts will ensure robust technical execution, facilitate supplier and cross-functional collaboration, and deliver hardware that meets performance, cost, and schedule targets.Your Responsibilities:Lead the comprehensive design release of high-performance compute and connectivity hardware, covering mechanical mounting, thermal management, electrical interfaces, and vehicle network integration.Drive technical execution throughout the product lifecycle, from initial concept through to ongoing engineering support and improvements.Oversee the creation and release of all engineering documentation, including models, drawings, Bills of Material (BOM), specifications, and test reports, ensuring they align with vehicle-level design.Define and maintain the Design Verification Plan & Report (DVP&R), ensuring successful validation against system performance objectives.Manage the Engineering Change (ECN) process for compute and connectivity hardware, ensuring transparency, cost impact analysis, version control, and comprehensive cross-functional agreement.Act as the main technical and program liaison with suppliers (Tier 1 and Tier 2), monitoring part maturity through DV, PV, and PPAP phases to guarantee tooling and delivery readiness.Cultivate strong partnerships with Systems Engineering, Autonomy, Software Infrastructure, Quality, and Vehicle Integration teams to ensure seamless hardware integration and manufacturability (DFM/DFA).Lead technical program reviews and design readiness assessments, proactively developing risk mitigation strategies to align compute hardware maturity with program milestones.Provide consistent, concise updates to technical leadership regarding design maturity, validation progress, outstanding issues, and timely resolution metrics.
About UsAurora is dedicated to advancing the benefits of self-driving technology in a safe, swift, and widespread manner.Discover the Aurora Driver which aims to usher in a new era of mobility and logistics, enhancing safety, efficiency, and accessibility for all.At Aurora, you will collaborate with a team of passionate and intelligent individuals, tackling complex challenges while furthering your expertise. Stay updated on our latest developments by visiting aurora.tech or following us on LinkedIn.Aurora seeks talented individuals from diverse backgrounds who are eager to contribute to the future of transportation, aiming to enhance road safety, deliver essential goods efficiently, and promote accessible mobility for everyone. We are currently looking for a highly skilled Staff Backend Software Engineer to join our Aurora Services Engineering team, playing a pivotal role in developing our fleet management tools.The Aurora Services Engineering team builds comprehensive solutions, including backend services, web applications, mobile apps, and real-time onboard code, facilitating the large-scale commercial operation of autonomous vehicle fleets. Our goal is to create software that manages the commercial aspects of our platform, including task assignment for autonomous vehicles, remote support, fleet management, and customer order processing. As we prepare to significantly expand our fleet and integrate with partners on an API level, our tools are essential for the smooth daily operations of our business.As a Staff Backend Software Engineer, you will be part of a team that develops solutions for autonomous vehicle terminal operations, overseeing the launch and landing of vehicles at locations owned by Aurora and our major clients. You will enhance existing products and design entirely new features, making substantial contributions to the efficiency of terminal operations at Aurora.
Join Waabi, a trailblazer in the field of Physical AI, founded by AI pioneer Raquel Urtasun. We are at the forefront of revolutionizing autonomous transportation, leveraging cutting-edge technology to power commercial autonomous trucks and robotaxis. Our esteemed partnerships with industry leaders in AI, automotive, logistics, and deep tech fuel our mission.With a rapidly expanding presence across offices in Toronto, San Francisco, Dallas, and Pittsburgh, we are actively seeking diverse, innovative, and collaborative individuals eager to make a positive impact on the world. Discover more at: www.waabi.aiAs we scale through 2026, our Infrastructure team is committed to enhancing our ML infrastructure for improved efficiency while ensuring our engineering and research systems operate seamlessly. We are looking for a candidate with substantial experience in designing, implementing, and troubleshooting physical computer systems and networks, as well as cloud systems when necessary. The ideal candidate will collaborate closely with our hardware team to design and implement vehicle computing and networking solutions, actively contributing to our physical infrastructure to support machine learning initiatives, CI systems, and software delivery.Key Responsibilities:- Collaborate with a multidisciplinary team of engineers and researchers, using an AI-first approach to facilitate safe self-driving at scale.- Partner with the hardware team on the design and implementation of vehicle computing and networking solutions.- Coordinate with software and hardware teams for operating system and software deployment in vehicles.- Assist in performance tuning and diagnostics for vehicle computing and networks as required.- Work collaboratively with teams to implement and maintain high-volume data pipelines.- Engage in various projects focused on designing, building, and deploying tools, systems, and infrastructure that support vehicle development.- Design and implement high-performance physical networks and computing systems.Qualifications:- BS, MS/PhD in Computer Science or a related technical field, or equivalent practical experience.- Over 5 years of relevant industry experience.
Compensation: $117,300 - $173,060Join Gray Swan AI as a Machine Learning Engineer and contribute to enhancing AI safety solutions. You will engage in impactful research and development, focusing on adversarial testing, model evaluation, and robust inference. Your work will bridge the gap between theoretical research and practical implementation, ensuring AI systems can withstand adversarial challenges.Utilize your expertise in cutting-edge deep learning architectures and distributed systems to tackle complex problems and advance our methodologies for monitoring and analyzing machine learning models in production environments. Collaborate with a dynamic team of professionals dedicated to making a difference in AI security.Be part of a growing company at the forefront of AI safety, where your contributions will shape the future of secure AI systems!
At Gray Swan, we are dedicated to safeguarding organizations from the evolving threats posed by artificial intelligence. Our team of approximately 25 talented professionals is committed to developing cutting-edge solutions for real-time threat detection, automated validation, and adaptive defenses specifically tailored for AI labs and enterprises.As a well-funded and rapidly growing company, we boast a robust client base that includes globally recognized names. This translates into a workplace where every employee is entrusted with significant responsibilities and equity from the outset. You will thrive in a high-ownership environment, tackling complex challenges and playing a pivotal role in shaping both our product offerings and company direction.Many join Gray Swan not just for a job, but for a mission that resonates. Our commitment to impactful work in AI safety drives our engineers and researchers, instilling a profound sense of purpose.The RoleIn your capacity as a Senior Sales Engineer at Gray Swan, you will spearhead technical pre-sales initiatives for our AI security platform. Acting as a trusted technical advisor, you will assist enterprise customers in assessing how to secure, govern, and deploy advanced AI systems effectively in their production environments.You will collaborate closely with Account Executives on complex, high-stakes opportunities, taking ownership of the technical narrative from initial discovery through to closing. This role demands a high level of technical credibility, keen commercial instincts, and the ability to distill complex AI security risks into clear, compelling solutions for both technical and executive audiences.This is a hands-on, client-facing role in dynamic environments where clients are often defining their AI security strategies for the first time.Key Responsibilities:Act as the technical lead on enterprise sales opportunities, collaborating with Account Executives to develop and execute effective deal strategies.Lead technical discovery sessions with customer security, AI, and platform teams to assess architectures, threat models, and operational limitations.Establish technical win strategies that include solution designs, evaluation plans, and success metrics.Serve as a trusted advisor to senior stakeholders throughout the purchasing process.Expertise in AI Security & Solution DevelopmentClearly communicate and demonstrate how the Gray Swan platform identifies vulnerabilities in AI systems and the measures required to mitigate these risks.
About Aurora Aurora Innovation is dedicated to advancing transportation by safely and quickly deploying self-driving technology. The company aims to make mobility and logistics safer, more efficient, and accessible for everyone. Discover the Aurora Driver to learn more about Aurora's core technology. Role Overview: Senior Staff Software Engineer - Vehicle I/O This Senior Staff Software Engineer position sits within the Vehicle Connectivity team in Pittsburgh, Pennsylvania. The team builds and maintains Aurora’s vehicle connectivity stack, which underpins secure, reliable, and observable communications between self-driving vehicles and the cloud.
Full-time|$180K/yr - $180K/yr|Remote|Pittsburgh, PA
At Tiger Data, previously known as Timescale, we provide developers and businesses with the fastest PostgreSQL platform tailored for transactional, analytical, and agentic workloads. Trusted by thousands of organizations worldwide, Tiger Data accelerates real-time insights, fosters intelligent applications, and supports critical infrastructure at scale. Our remote-first, globally distributed team emphasizes direct communication, accountability, and collaborative excellence, driving the future of data infrastructure designed for speed, flexibility, and simplicity.At Tiger Data, we are not treating AI as an ancillary project; we are fundamentally reimagining how go-to-market teams function.This role is positioned at the crossroads of RevOps, Sales, Marketing, and Product, directly reporting to the Head of RevOps. It is a builder's role for someone who inherently identifies inefficiencies in the GTM process and instinctively seeks solutions.Previous job titles are not a prerequisite. Many successful individuals in this position have come from adjacent fields (SDR, RevOps, Growth, Engineering) and have self-taught their way to success. The unifying factor among them is intellectual curiosity, creativity, and a propensity for experimentation.You will not receive a completely defined roadmap; however, you will collaborate closely with GTM leaders to pinpoint where your contributions can yield the greatest impact.If you are the type of person who sees a flawed process and thinks, “I could automate that by tonight,” you will thrive in this environment.This position is remote, with a strong preference for candidates located in Pittsburgh or similar US markets.Key Responsibilities:Identify inefficiencies across Sales, Marketing, and RevOps and proactively address them.Design and implement AI-driven workflows, tools, and MVPs (primarily for internal use, occasionally customer-facing).Automate repetitive GTM processes (lead enrichment, outbound personalization, CRM workflows, routing, etc.).Engage in rapid experimentation: transitioning from idea to prototype to live usage in days.Collaborate with various teams to deeply understand challenges and deliver actionable solutions.Serve as an internal thought partner regarding the transformative potential of AI in our GTM approach.Continuously investigate new AI tools, workflows, and concepts, integrating the best into our operations.
About Gray Swan AIAt Gray Swan AI, we are dedicated to safeguarding organizations from the evolving threats in AI security. Our innovative solutions focus on real-time threat detection, automated validation, and adaptive defenses tailored for AI labs and enterprises. With a compact yet skilled team of approximately 25 individuals, we are well-funded and rapidly expanding.Our strong market presence and globally recognized clientele empower our employees with significant responsibilities and meaningful equity from the start. This is a high-ownership environment where you will tackle challenging problems, work swiftly, and contribute to shaping both our products and the company’s future.Many join Gray Swan AI because our mission resonates deeply. We engage in practical, impactful work in AI safety, and this sense of purpose is a key reason why engineers and researchers are drawn to our team.Discover more about our work culture.The RoleWe are seeking a passionate Senior Software Engineer eager to engage in full-cycle development. You will work across the entire stack—frontend, backend APIs, and databases—transforming ideas into tangible products and enhancing existing solutions.While you may not have experience with all the tools we utilize, having a robust full-stack background, the ability to quickly learn new technologies, and the willingness to own your projects without excessive process or oversight is essential. As we are still in our growth phase, individuals who thrive on autonomy, responsibility, and speed will find this opportunity appealing!What You’ll Do:Design and develop web applications utilizing modern frontend frameworks such as Svelte.Create intuitive and user-friendly interfaces that enhance user experience.Develop and maintain backend APIs with tools like FastAPI.Optimize and manage database systems such as MongoDB.Collaborate with our machine learning research team to integrate AI functionalities into our products.Who You Are:Proficient in TypeScript or JavaScript.Experience with frontend frameworks like React, Vue, or Svelte.Strong grasp of HTML and CSS.Hands-on experience in building backend APIs.Familiarity with database systems (SQL or NoSQL; MongoDB experience is a plus).
About Gray Swan AIAt Gray Swan AI, we are dedicated to safeguarding organizations from the rapidly evolving threats posed by artificial intelligence. Our innovative solutions focus on real-time threat detection, automated validation, and adaptive defenses specifically designed for AI laboratories and enterprises. With a compact team of around 25 individuals, we are well-funded and experiencing rapid growth.Our impressive client base includes globally recognized organizations, providing our employees with significant responsibilities and meaningful equity from day one. We foster a high-ownership environment where you will tackle challenging problems, accelerate your projects, and contribute to shaping both our products and the company's direction.Many of our team members are motivated by our mission. We are engaged in practical, high-impact work in AI safety, which is a fundamental reason why engineers and researchers choose to join us.Discover more about our approach.The RoleWe are seeking a dynamic Full Stack Software Engineer who is excited about building comprehensive solutions and isn’t afraid to dive into various aspects of development. You will engage with the entire technology stack—from frontend interfaces to backend APIs and database management—transforming ideas into tangible products and enhancing existing systems.While familiarity with all our tools isn’t mandatory, what matters is your robust full-stack experience, agility in learning new technologies, and comfort in taking ownership of your projects without extensive supervision. As we are in the early stages of our growth, this role suits those who thrive in an autonomous, fast-paced environment.What You’ll Do:Design and create web applications using cutting-edge frontend frameworks like Svelte.Build intuitive and user-friendly interfaces that enhance the user experience.Develop and maintain backend APIs employing tools such as FastAPI.Manage and optimize database systems, with a focus on MongoDB.Collaborate closely with our machine learning research team to weave AI functionalities into our offerings.Who You Are:Proficient in TypeScript or JavaScript.Experienced with frontend frameworks like React, Vue, or Svelte.Strong understanding of HTML and CSS.Hands-on experience developing backend APIs.Familiarity with database systems, both SQL and NoSQL, with MongoDB being a plus.
Full-time|Remote|Pittsburgh, PA; Open to Remote (US)
About Us At Gather AI, we are on a mission to revolutionize the supply chain industry through innovative technology. Our cutting-edge, vision-powered platform harnesses the power of autonomous drones and existing equipment to capture real-time data, effectively digitizing workflows that have traditionally been manual and prone to errors. This transformation allows warehouses to operate with enhanced intelligence, safety, and efficiency, thus redefining the standards for timely delivery. If you are eager to contribute to groundbreaking technology and have a meaningful impact in a crucial sector, Gather AI is the perfect fit for you. We are at the forefront of the rapidly advancing robotics field, and we invite you to join us as we reshape the global supply chain, one intelligent warehouse at a time. About the Team You will collaborate closely with systems engineers on our MHE Vision platform, engage with the MHEV team for integrated system testing and debugging, and work alongside the ML team to validate model outputs against ground truth data. You will also liaise with Customer Support and Product Management to address field-reported edge cases and quality priorities. About the Role We are seeking a dynamic Test Engineer to join our Pittsburgh team, enhancing the testing and validation framework for our MHE Vision platform. You will engage with real data and systems, analyzing large transaction datasets to derive ground truth, building and maintaining regression test infrastructure, and participating in integrated system tests within our lab environment. This is a high-impact, early-career opportunity that offers significant ownership and visibility. Your analyses will directly enhance product quality for our customers, and you will have the chance to advance into roles focused on test automation, systems engineering, or QA leadership as the company grows. What You’ll Do Manually analyze extensive transaction datasets (100+ records) to extract ground truth, detect anomalies, mismatches, and edge cases, and validate system outputs against expected behavior. Construct and manage regression test infrastructure, incorporating new edge cases identified from field deployments into the existing test suite. Engage in integrated system tests in our Pittsburgh lab alongside systems engineers, executing test procedures and documenting results. Conduct first-level root cause analysis (RCA) on test failures, clearly communicating issues to the respective engineering teams. Develop structured processes for collecting and cataloging field edge cases into repeatable test cases. Contribute to the continuous improvement of testing methodologies and practices.
