Senior Electrical Engineer - Vehicle Platform Engineering

Join our dynamic team at latitude as a Senior Software Engineer specializing in Machine Learning Platforms. We are looking for a highly skilled and passionate engineer who is eager to innovate and contribute to cutting-edge projects that drive our machine learning initiatives. In this role, you will collaborate with cross-functional teams to develop robust and scalable ML solutions that impact our business and enhance user experiences.As a Senior Software Engineer, you will leverage your expertise in software development and machine learning algorithms to build, optimize, and maintain ML models. You will also play a crucial role in mentoring junior engineers and fostering a culture of continuous learning and improvement within the team.

Join Aurora Innovation as a Software Engineer focused on developing our Behavior Planning Machine Learning Platform. In this dynamic role, you will contribute to pioneering technologies that enhance autonomous vehicle performance. You will collaborate with a talented team and leverage cutting-edge machine learning techniques to create innovative solutions for real-world challenges.

Join latitude as a Senior Software Engineer specializing in Machine Learning Integration. In this pivotal role, you will leverage your extensive software engineering skills to drive the integration of machine learning solutions into our cutting-edge software stack. Collaborate with cross-functional teams to innovate and enhance our product offerings while ensuring optimal performance and scalability.

About UsAt Aurora Innovation, our mission is to safely and swiftly bring the advantages of self-driving technology to everyone. Our groundbreaking Aurora Driver is set to revolutionize the future of mobility and logistics, ensuring a safer and more efficient world for all.Join us at Aurora to solve complex problems while collaborating with passionate and intelligent colleagues. As we continue to innovate, you will grow as an expert and expand your knowledge. For the latest updates, visit aurora.tech or follow us on LinkedIn.We are seeking a Software Engineer to join our Machine Learning Data Engine: Labels Platform team. This team is responsible for production services that support high-volume data labeling operations. You will contribute to the development of data models and service interfaces that cater to various autonomy data consumers. The performance of our autonomous systems relies heavily on the quality, selection, and volume of data, and your work will be critical to our mission. You will have opportunities to engage in projects that are vital to our operations and help develop innovative ML Ops solutions. Aurora's unique position in the industry stems from our comprehensive toolchain for data collection, labeling, model training, and evaluation.Key Responsibilities:Implement production best practices to ensure the reliability of our platform.Develop features for new labeling applications.Collaborate with cross-functional teams (product, program, operations, data science) to drive projects from inception to completion.Utilize ML Ops best practices to design processes that enhance data coverage and quality.

Motional, based in Pittsburgh, develops autonomous vehicles with a strong focus on safety, reliability, and accessibility. Supported by Hyundai Motor Group, Motional is committed to advancing physical AI and shaping the future of transportation. The company’s mission centers on making streets safer and encouraging sustainable mobility. The Systems Readiness and Performance team connects software development with real-world deployment. This group handles system design, verifies and validates the autonomy stack, and sets as well as measures performance benchmarks. Team members work closely with autonomy, infrastructure, and operations partners to build the safety case for launching fully driverless IONIQ 5 robotaxis in Las Vegas. Role overview The Senior Engineer, Machine Learning Systems for Autonomy, joins the Autonomy Subsystems team to design and evaluate software modules that power autonomous vehicles. The role centers on assessing machine learning subsystems using offline model evaluations, open and closed-loop re-simulations, and on-road performance analysis. Defining and validating metrics that reflect subsystem performance is a key part of the job, along with sharing insights to help machine learning developers improve the models used in vehicles. What you will do Design and evaluate machine learning software modules for autonomous vehicles Conduct offline assessments of models and analyze results from re-simulations Evaluate the on-road performance of machine learning models Define and validate metrics to measure autonomy subsystem performance Collaborate with machine learning developers to support improvements in deployed models Requirements Experience as a systems engineer, with a background in safety-critical systems and machine learning model evaluation Interest in autonomy, robotics, and machine learning Prepared to help build production-ready systems for robotaxi deployment

Compensation: $194,650 - $235,790About Gray Swan AIAt Gray Swan AI, we are at the forefront of safeguarding organizations against the evolving security threats posed by artificial intelligence. Our mission is to develop cutting-edge solutions for real-time threat detection, automated validation, and adaptive defenses tailored for AI laboratories and enterprises. With a compact yet dynamic team of around 25 professionals, we are well-funded and experiencing rapid growth.The RoleIn the position of Senior Machine Learning Engineer, you will have a crucial impact on the advancement of AI safety solutions. Your work will intertwine research with practical application, as you delve into the complex challenges surrounding AI security—a domain that remains an open frontier. This role involves applied research and system architecture, focusing on developing innovative approaches to adversarial testing, model evaluation, and robust inference, which are critical for the secure deployment of AI systems.Your deep understanding of state-of-the-art deep learning frameworks, distributed systems, and parallel computing will empower you to address the intricacies associated with resource-demanding models. You will enhance our strategies for managing, monitoring, and analyzing these models, ensuring they adhere to the stringent requirements of production environments.Join Gray Swan AI and utilize your profound technical expertise and leadership qualities to make a substantial difference in the realm of AI safety!What You’ll DoSpearhead the design, development, and deployment of sophisticated machine learning models to boost system performance and scalability.Address intricate challenges associated with resource-heavy models using distributed systems and parallel computing.Enhance methodologies for the control, monitoring, and analysis of machine learning models within production settings.Innovate new strategies for adversarial testing, model evaluation, and robust inference.Convert research concepts into scalable AI systems applicable in real-world adversarial contexts.Mentor junior engineers and foster innovation within the team.Collaborate closely with cross-functional teams to ensure that research findings inform production systems effectively.Who You AreEducationBachelor’s degree in Computer Science or a related field.

Join us in shaping the future through innovative solutions.Woolpert is a globally recognized leader in architecture, engineering, and geospatial services, celebrated for our blend of design excellence and advanced technology. Our dedicated team is passionate about driving progress and fostering the next generation of industry leaders. As a certified Great Place to Work® , we are committed to innovation and creating boundless opportunities for professional development.Position OverviewWoolpert is seeking a Senior Software Engineer to become a part of our dynamic Atlas Labs team, focusing on our Geospatial sector. This role reports to the Director of Product and AI. Atlas Labs is responsible for advancing technology within Woolpert’s Geospatial sector, encompassing AI model development, research and development, software infrastructure, and user-facing products.Note: We are unable to provide visa sponsorship for this position. Applicants must have existing work authorization in the United States.What You Will Do:Engage in the planning, research, design, architecture, development, and testing of software features for Atlas Labs. Daily coding is essential, primarily in Python, with potential use of C++ or JavaScript.Collaborate within a cross-functional Scrum team alongside experts in AI/ML, Geospatial Data, Software Engineering, and GIS.Work closely with both internal and external users to ensure the accuracy, quality, and availability of Atlas Labs software products.What You Will Bring:Substantial experience with commercial software products.Proficient in writing production-level code in Python, ideally with large datasets.Proven experience or academic background in key areas such as:Geospatial Data ProcessingComputer VisionAI & Machine LearningLiDARRobotics/Self-Driving/AutonomyFamiliarity with relevant technologies including:Linux, Docker, and GitHubAI/ML frameworks (TensorFlow, PyTorch)Cloud platforms (Azure, AWS, Google)Nice to Have:Experience with GIS applications such as ESRI, QGIS.

Aquabyte is on the lookout for a talented and passionate Machine Learning Engineer to spearhead the development and deployment of cutting-edge algorithms for fish farms globally. In this role, you will be integral to the software and machine learning model development for our on-camera and cloud-based solutions.Our MissionAt Aquabyte, we aim to transform the aquaculture industry by enhancing its sustainability and efficiency. This ambitious mission is not only fulfilling but essential in promoting environmentally friendly practices in fish farming, ultimately contributing to the reduction of climate change impacts. As the fastest-growing food production sector, we are at the forefront of determining the technological advancements needed to responsibly harvest and conserve our marine ecosystems for future generations.We pride ourselves on our diverse, mission-driven team and are excited to collaborate with individuals who share our passion. If our vision resonates with you, we would love to hear from you!Our ProductCurrently, our focus is on empowering salmon farmers with deeper insights into their fish populations to facilitate environmentally conscious decision-making. Utilizing custom underwater cameras, advanced computer vision, and sophisticated machine learning techniques, we can accurately measure fish weights, assess health conditions, and create optimal feeding strategies in real-time. Our product encompasses three integral components: on-site hardware for image acquisition, cloud-based data processing pipelines, and a user-friendly web application. This multifaceted approach presents numerous exciting challenges across all areas of our technology stack.At Aquabyte, customer satisfaction drives our product development, as we prioritize the needs of fish farmers in every aspect of our work. We are committed to fostering a collaborative, global team.The RoleAs a Machine Learning Engineer, you will play a key role in developing machine learning models and pipelines while also engaging with databases and data infrastructure. Your responsibilities will include conducting comprehensive data analytics and building statistical inference models to understand biological processes. Working within the AI team, you will develop image and video inference pipelines to evaluate the weight, health, and behaviors of both individual fish and larger populations. You will collaborate closely with experienced engineers who bring a wealth of industry and academic expertise to the table.

About Us Are you ready to revolutionize the future of supply chain management? At Gather AI, we are not just developing software; we are at the forefront of a new age in warehouse intelligence. Our innovative, vision-powered platform employs autonomous drones and existing equipment to gather real-time data, fully digitizing processes that have traditionally been manual and prone to errors. This advancement leads to smarter, safer, and more efficient operations, ultimately transforming the concept of 'on-time, in full' delivery. If you're eager to make a significant impact in a critical industry and contribute to truly transformative technology, Gather AI is the ideal place for you. We are spearheading change in the fast-evolving robotics sector, and we invite you to help us reshape the global supply chain, one intelligent warehouse at a time. About the Team In this role, you will lead the Machine Learning and FPT teams, collaborating closely with the Director of Cloud Engineering and the Director of Autonomy. You will engage cross-departmentally with Product and Business leadership to translate machine learning capabilities into tangible product value. This high-visibility position offers direct access to executive leadership and considerable influence over product direction. About the Role We are seeking an experienced Director of Machine Learning to formulate our machine learning strategy, lead our computer vision division, and propel the next phase of ML maturity at Gather AI. You will evaluate our current machine learning and computer vision capabilities, identify gaps and opportunities, and establish a robust technical vision for how machine learning will enhance our warehouse intelligence platform over the next 12–18 months. The ideal candidate will possess extensive expertise in computer vision, a proven track record of delivering production ML systems, and the leadership skills necessary to build and scale an exceptional ML team. What You’ll Do Define and manage the ML strategy and technical roadmap for Gather AI, ensuring alignment with product and business objectives. Lead and expand the Machine Learning and FPT teams, fostering a culture of rigor, experimentation, and high-quality production delivery. Enhance core computer vision models (object detection, segmentation, OCR) utilized across our drone and MHE Vision products. Develop MLOps infrastructure, including model training pipelines, deployment, monitoring, and CI/CD for ML workloads. Collaborate with the Director of Cloud Engineering and Director of Autonomy to guarantee seamless integration of ML systems within the broader platform. Partner with Product and Operations teams to translate customer needs into ML-driven product solutions.

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!

Join Duolingo as a Senior Platform Engineer, where you'll have the opportunity to shape the future of language learning through innovative technology. In this role, you will work closely with cross-functional teams to design, build, and scale our platform to support millions of users worldwide.

Latitude AI (lat.ai) is at the forefront of developing cutting-edge automated driving technologies, including Level 3 systems for Ford vehicles. Our mission is to transform the driving experience, making travel safer, less stressful, and more enjoyable for all.As part of the Latitude team, you will collaborate with leading experts in machine learning, robotics, cloud platforms, mapping, sensors, and safety engineering. Together, we are dedicated to making a significant, positive impact on the driving experience for millions.Operating as a subsidiary of Ford Motor Company, Latitude maintains the agility of a tech startup while developing automated driving technologies. Our headquarters is in Pittsburgh, with additional engineering centers in Dearborn, Michigan, and Palo Alto, California.Join Our Team:The Performance Prediction team is responsible for creating machine learning models, evaluation pipelines, and internal tools that enable us to monitor how autonomous behavior evolves with each software release. We tackle challenges in behavior classification, ride quality assessment, probabilistic trajectory forecasting, and regression analysis for releases.Our systems integrate both classical and modern ML approaches, employing compact classifiers like tree-based models for behavior and ride quality detection, as well as deep learning models for complex autonomy tasks. We also develop the software infrastructure around these models, including dataset definition, feature generation, training workflows, offline metrics, experiment tracking, and tools for regression inspection at detailed levels.This position is ideal for those who thrive on developing reliable Python systems and implementing rigorous ML evaluation methods in safety-critical environments. The work involves a blend of ML systems development, model evaluation, and internal tooling used by various teams across the autonomy spectrum.

Latitude AI (lat.ai) is at the forefront of developing advanced automated driving technologies, including Level 3 automation, for Ford vehicles at scale. Our mission is to reimagine transportation by making journeys safer, less stressful, and more enjoyable for everyone. Joining the Latitude team means collaborating with top-tier professionals in fields such as machine learning, robotics, cloud platforms, mapping, sensors, compute systems, test operations, and safety engineering—all committed to having a meaningful and positive impact on the driving experience for millions. As a subsidiary of Ford Motor Company, we operate with the agility of a tech startup, headquartered in Pittsburgh, with engineering centers in Dearborn, Michigan, and Palo Alto, California.Meet the Team:The Cloud Platform engineers at Latitude are responsible for designing reusable infrastructure through code, allowing our teams to build scalable and secure solutions. They provide guidance on architecting solutions for optimization, ensuring effective changes are automated and reviewed. This role includes managing our workload ecosystem on Kubernetes across public and hybrid cloud environments.The Cloud Platform team collaborates with various engineering groups, including data ingestion, mapping, machine learning, motion planning, and deployment, to enhance development practices and promote scalable efficiency with cloud-native technologies.What You'll Do: Design and scale a multi-tenant, hybrid-cloud Kubernetes platform to facilitate seamless workload portability across both public and internal environments.Create custom Kubernetes operators and self-service abstractions, simplifying complex infrastructure for autonomous vehicle engineering teams.Enhance performance of distributed workloads...

About UsAt Aurora, we are dedicated to transforming the future of transportation by delivering self-driving technology that is safe, rapid, and widely accessible.Explore the Aurora Driver and join us in creating a mobility and logistics revolution that prioritizes safety, efficiency, and accessibility.At Aurora, you will engage in solving complex challenges alongside a team of passionate and intelligent professionals, enhancing your expertise and knowledge in the process. For the latest updates, visit aurora.tech or follow us on LinkedIn.We are on the lookout for a Machine Learning Engineering Team Lead to join our Behavior Planning Team. This is a pivotal role that places you at the forefront of autonomous vehicle technology. Your work will not only involve applying AI and ML methodologies but also pushing the boundaries of how self-driving systems interpret their surroundings, engage with other road users, and execute complex, high-dimensional decision-making.Your Responsibilities Include:Defining the architecture of our onboard planning models: Develop and deploy large-scale models utilizing Imitation Learning and Reinforcement Learning to enable the Aurora Driver to traverse complex environments with human-like fluidity and unparalleled safety.Building our next-generation simulation engine: Design innovative offboard foundation models to enhance our simulation engine, creating realistic "world models" to rigorously test the Aurora Driver against countless edge cases.Revolutionizing evaluation processes: Create powerful offboard critic models that can assess driving behavior at scale, identifying subtle distinctions in comfort, progress, and safety that traditional heuristics overlook.

Mission Overview:We are on the lookout for an accomplished and innovative Principal Engineer Tech Lead Manager to spearhead our new Machine Learning (ML) Acceleration team. In this key position, you will be responsible for crafting the strategy, development, and implementation of initiatives designed to significantly enhance the speed of ML model training. The ultimate objective is to substantially shorten the development cycle for new ML models and facilitate swift hot-patching for issues encountered in our autonomous vehicle services.As a hands-on leader, you will merge extensive technical knowledge in ML systems and performance enhancement with robust leadership and personnel management skills. You will have the opportunity to recruit, mentor, and cultivate a high-performing team of engineers, while promoting a culture that embraces innovation, collaboration, and ongoing improvement.Your Responsibilities:Team Leadership & Management:Assemble, lead, and manage a high-performing team of ML and infrastructure engineers focused on acceleration.Offer technical direction, mentorship, and career development pathways for team members.Encourage a collaborative and inclusive team atmosphere.Establish team objectives, priorities, and roadmaps that align with organizational goals.Technical Strategy & Execution:Articulate the technical vision and strategy for ML acceleration throughout the organization.Identify and assess cutting-edge technologies and methodologies to expedite ML training, including data pipeline optimization, large-scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.Design, develop, and deploy scalable and efficient ML acceleration solutions.Cross-functional Collaboration:Work closely with ML research, ML Training platform, and product teams to understand their requirements and seamlessly integrate acceleration solutions.Communicate intricate technical concepts and strategies to both technical and non-technical stakeholders.Serve as a technical authority and proponent for ML acceleration initiatives across the company.Impact & Measurement:Regularly assess and report on the effectiveness of acceleration initiatives.Persistently seek out further optimization and innovation opportunities.

Join latitude as a Software Engineer II, specializing in our Data Platform. In this vital role, you will collaborate with cross-functional teams to design, develop, and maintain robust data solutions that empower our organization. You will leverage your technical skills to enhance data integrity and availability while ensuring optimal performance of our data systems.

About Gather AI Are you ready to revolutionize the future of supply chain management? At Gather AI, we are not merely developing software; we are at the forefront of a transformative movement in warehouse intelligence. Our innovative, vision-powered platform harnesses autonomous drones and existing equipment to capture real-time data, digitizing workflows that have traditionally been manual and prone to errors. This advancement allows facilities to operate in a smarter, safer, and more efficient manner, ultimately redefining the standards for 'on-time, in full' delivery. If you're seeking a chance to contribute to groundbreaking technology and significantly impact a critical industry, Gather AI is your destination. We are spearheading the evolution of the robotics field, and we welcome you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team This position collaborates closely with a Senior Machine Learning Scientist and our Lead Machine Learning Infrastructure Engineer, alongside cross-functional partners in Cloud Engineering, Product, and Operations. The role encompasses both deep technical work and collaboration with teams that are closest to our customers. As a Principal-level individual contributor, you'll play a pivotal role in shaping our technical direction — influencing decisions rather than merely executing them. About the Role We are in search of a Principal Machine Learning Scientist to elevate the capabilities of our computer vision systems for warehouse inventory scanning. You will engage in the entire ML lifecycle — from research and model architecture to training, deployment, and production monitoring — while focusing on measurable enhancements in detection, segmentation, and OCR accuracy across our drone and MHE Vision products. This role is perfect for an experienced ML practitioner eager to have a principal-level impact on a core product, engage with various deployment targets (cloud, on-prem, embedded), and work with real-world data yielding tangible business outcomes. What You’ll Do Enhance core computer vision model performance (object detection, segmentation, OCR) for warehouse inventory scanning across drone and MHE Vision platforms. Oversee the full ML lifecycle from research and experiment design through production deployment and monitoring — employing rigorous ablation studies and state-of-the-art methodologies. Collaborate with the ML infrastructure team on optimizing and deploying models across cloud and edge inference targets (ONNX, TensorRT, quantization). Partner with Operations and Product teams to grasp customer needs and translate them into measurable ML improvements with significant business impact. Provide mentorship and guidance to junior team members.

Join teraswitch as a Senior Infrastructure Engineer, specializing in Kubernetes and Platform Engineering. In this role, you will leverage your expertise to design, implement, and optimize scalable infrastructure solutions that drive innovation and efficiency.

About UsAt Aurora Innovation, we are dedicated to revolutionizing transportation through safe and efficient self-driving technology.The Aurora Driver is set to transform mobility and logistics, ushering in a future that is not only safer but also more accessible for everyone. Join us at Aurora, where you'll collaborate with a team of passionate and intelligent professionals to solve complex challenges, enhancing your expertise while expanding your knowledge. For more updates, visit aurora.tech or follow us on LinkedIn. We are on the lookout for a Software Engineer to become a vital part of our Vehicle Platform Integrations Team! Key Responsibilities:Collaborate with the vehicle integration team to design and implement infrastructure for integrating embedded software with a cutting-edge C++ autonomy stack.Engage with autonomy planning, control software, and vehicle platform commands and monitoring systems.Develop fault monitoring mechanisms for vehicle platforms.Create software that directly influences the operational behavior of autonomous vehicles, including modes of operation, fault management, and health monitoring.Work with software/hardware interfaces, including embedded system simulation, hardware-in-the-loop testing, and vehicle system level evaluations.Construct tools for automating testing and analysis of control subsystems to ensure compliance with safety-critical coverage standards.Perform development in both Linux-based and embedded environments.