Software Engineer - AI Engineering

Join Apptronik, a leading human-centered robotics company revolutionizing the world with AI-powered robots designed to enhance every aspect of life. Our flagship humanoid robot, Apollo, is engineered for seamless collaboration with people, initially focusing on critical sectors like manufacturing and logistics, and poised for future applications in healthcare, domestic environments, and more.We are at the forefront of embodied AI, utilizing our extensive expertise across the entire robotics stack to address some of society's most pressing challenges. As part of our team, you will play a pivotal role in scaling Apollo for market readiness, navigating complex issues around safety, commercialization, and mass production to make a positive impact on the world.JOB SUMMARYWe are in search of a Principal Engineer to spearhead the development of high-performance embedded AI systems and advanced simulation infrastructure for our humanoid robots. This position emphasizes GPU-centric workload orchestration, graphics-driven simulation performance, and robust on-device AI execution.The ideal candidate will possess extensive experience in graphics, display systems, Linux platforms, and low-level embedded software, enabling them to enhance simulation fidelity and optimize real-time AI workloads across robotic platforms.ESSENTIAL DUTIES AND RESPONSIBILITIESGPU Workload OrchestrationArchitect and implement a pipeline for the effective utilization of GPUs across various concurrent AI workloads.Design and develop schedulers and runtime systems to coordinate perception, planning, and control models on-device.Optimize latency, throughput, and power efficiency for real-time robotic operations.On-Device AI SystemsEnhance the robustness and reliability of deployed AI models in constrained embedded environments.Facilitate efficient execution of multi-model pipelines (vision, tracking, control).Collaborate with ML teams to co-design models and runtime systems effectively.Simulation PerformanceLead initiatives to significantly boost simulation throughput and realism.Optimize rendering, physics integration, and data pipelines through graphics expertise.Align simulation outputs with the requirements of real-world deployments.Embedded Systems & Platform IntegrationOversee low-level system integration across Linux-based platforms.Collaborate across kernel, drivers, HAL, and user-space layers to ensure seamless operation.

Join Our Team of InnovatorsAbout 42dot:At 42dot, we are a pioneering mobility AI company dedicated to overcoming mobility challenges through cutting-edge software and artificial intelligence. As the Global Software Center for Hyundai Motor Group, we are at the forefront of shaping the future of transportation by creating software-defined vehicles that enhance user experience.Our commitment to safety and user-centric design drives us to develop technologies that continually evolve, akin to smartphone updates. By leveraging advanced AI, we aspire to create a seamlessly connected world where autonomous urban transportation thrives through a self-managing operating system.Role Overview:We are on the lookout for a talented Simulation Engineer to become a vital part of our Autonomous Driving team. In this role, you will be instrumental in crafting and sustaining high-fidelity simulation environments essential for validating and verifying the performance of our autonomous driving solutions. Collaboration with diverse teams will be key to ensuring the reliability, scalability, and precision of our simulation tools.Key Responsibilities:Create and uphold high-fidelity simulation environments tailored for testing autonomous driving algorithms and software.Implement realistic vehicle models, sensor frameworks, and environmental contexts within our simulation architecture.Design and conduct simulation experiments to validate and confirm the efficiency of perception, planning, and control algorithms.Collaborate with software engineers, robotics experts, and data scientists to seamlessly integrate simulation tools into the development workflow.Analyze simulation outcomes and offer actionable insights to enhance the performance and reliability of autonomous driving systems.Stay informed about the latest advancements in simulation technology and incorporate them into our development practices.Qualifications:Master's or Ph.D. in a relevant engineering discipline.A minimum of 7 years of relevant industry experience.Proficient programming skills in C/C++/Python or similar languages.Expertise in simulation software such as Carla, CarSim, Simulink, or equivalent tools.Strong understanding of self-driving technology stacks and cloud-based solutions.

Cerebras Systems is at the forefront of AI innovation, manufacturing the largest AI chip in the world, which is 56 times bigger than conventional GPUs. Our cutting-edge wafer-scale architecture provides the computational power equivalent to dozens of GPUs on a single chip, simplifying programming to the level of a single device. This pioneering approach enables us to offer unmatched training and inference speeds, allowing machine learning practitioners to smoothly execute large-scale ML applications without the complexity of managing numerous GPUs or TPUs. Our clientele includes leading model laboratories, major global corporations, and innovative AI-native startups. Notably, OpenAI has recently partnered with Cerebras to leverage 750 megawatts of scale, revolutionizing critical workloads with ultra-high-speed inference. Our advanced wafer-scale architecture makes Cerebras Inference the fastest Generative AI inference solution available, outperforming GPU-based hyperscale cloud inference services by over tenfold. This remarkable speed enhancement is reshaping the user experience of AI applications, enabling real-time iterations and enhanced intelligence through additional agentic computation.In late 2024, we launched Cerebras Inference, setting a new standard for Generative AI inference speed. Since its launch, we have rapidly scaled our services to meet the rising demand from AI labs, enterprises, and a vibrant developer community.In October 2025, we celebrated our Series G funding round, successfully raising $1.1 billion USD to accelerate the growth of our product offerings and services to satisfy global AI demand.About the TeamThe Cerebras Inference team is dedicated to delivering the most efficient, secure, and reliable enterprise-grade AI service. We design and manage expansive distributed systems that facilitate AI inference with unparalleled speed and efficiency. Join us in scaling our inference capabilities to new heights!

At Coram AI, we are revolutionizing video security for the contemporary landscape. Our innovative cloud-native platform leverages computer vision and artificial intelligence to empower businesses to enhance safety, make informed decisions, and accelerate operations, featuring real-time alerts, effortless clip sharing, and multi-site visibility.Joining our dynamic and agile team means becoming part of a culture that prioritizes clarity, quality, and impactful contributions. Every team member has a voice, delivers significant work, and plays a crucial role in shaping how AI can foster a safer and more interconnected world.We seek an exceptionally skilled software engineer to develop high-performance, real-time software that operates on edge devices while adhering to stringent latency and memory limitations. This position emphasizes deterministic execution, distributed system architecture, and low-level performance enhancements. You will focus on constructing the infrastructure and runtime systems that enable real-time robotics applications.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of revolutionizing physical AI. Founded in 2017 with a valuation of $15 billion, this Silicon Valley innovator is developing the essential digital infrastructure required to infuse intelligence into every moving machine globally. Our services cater to the automotive, defense, trucking, construction, mining, and agriculture sectors across three core domains: tools and infrastructure, operating systems, and autonomy. Trusted by 18 of the top 20 global automakers, as well as the U.S. military and its allies, our solutions are designed to deliver superior physical intelligence. Headquartered in Sunnyvale, California, we also have offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.At Applied Intuition, we are committed to fostering an in-office culture, requiring our employees to primarily work from the office five days a week. However, we value flexibility and trust our employees to responsibly manage their schedules. This may include occasional remote work, starting the day with morning meetings from home, or leaving early to accommodate family commitments.Meet our software engineers!Get to know some of our software engineers who are pioneering the future of autonomy and delivering top-notch solutions that help customers reduce time to market. Learn what motivated them to join Applied Intuition, what keeps them engaged, and their insights for prospective candidates.About the roleWe are seeking a talented software engineer to join our team focused on integrating advanced machine learning methodologies into high-quality sensor simulation. In this role, you will collaborate with our research team to implement cutting-edge techniques for modeling environments and sensors, including Lidars, Radars, and Cameras.At Applied Intuition, you will:...

About the RoleCoreWeave operates some of the largest GPU clusters globally. The AI infrastructure behind these clusters plays a crucial role in determining workload placement, resource sharing, and system reliability under continuous pressure.As a Principal Engineer specializing in AI Infrastructure, you will spearhead the design and enhancement of cluster orchestration systems, including Slurm, Kubernetes, SUNK, and the control planes that facilitate AI training, inference, and model onboarding at scale.Your responsibilities will include defining long-term architecture, addressing complex scaling challenges, and establishing technical direction across various teams. Your contributions will significantly impact the speed at which customers can deploy models, the efficiency of GPU utilization, and the overall reliability of the platform at scale.

Join Coram AI, where we are redefining video security for a modern landscape. Our innovative, cloud-native platform harnesses computer vision and artificial intelligence to empower businesses with enhanced safety, informed decision-making, and rapid operational responses, ranging from real-time alerts to effortless clip sharing and comprehensive visibility across multiple sites.As a member of our dynamic and agile team, you will embrace clarity, craftsmanship, and impactful contributions. Every team member's voice matters, they deliver significant results, and collectively shape the future of AI in making the world safer and more interconnected.About the Role:At Coram AI, our infrastructure transcends the conventional cloud-based stack. Alongside our AWS and Kubernetes framework, we manage an extensive array of IoT devices remotely. We are seeking a skilled engineer to take charge of a substantial segment of our edge and cloud architecture that supports our IoT product line—responsible not only for infrastructure but also for developing and maintaining our proprietary in-house software.Joining our team means tackling intriguing challenges at the crossroads of user experience, machine learning, and infrastructure. It embodies a commitment to excellence, continuous learning, and delivering exceptional products to our clients in a high-energy startup environment.Key Responsibilities:Develop and maintain production-grade software for our custom edge infrastructure stack.Provision and manage resources within AWS.Oversee provisioning and management for hundreds of thousands of deployed connected IoT devices.Create CI/CD and automation pipelines for various components of the stack.Implement observability and telemetry across our cloud applications and edge devices.Assist in maintaining compliance with various security standards (e.g., SOC2, HIPAA).Enhance developer productivity by optimizing development workflows.This is an onsite role located in Sunnyvale.Qualifications:Minimum of 3 years of experience in developing production infrastructure on AWS using infrastructure as code tools like Pulumi or Terraform.Proficient in Docker and Kubernetes, especially EKS.At least 3 years of experience with programming languages such as Python, Go, or similar.

About the Role Intuitive Surgical is looking for a Simulated Use Test Engineer II in Sunnyvale. This position focuses on hands-on simulated use testing and usability evaluation for advanced surgical technologies. The work directly supports product safety and effectiveness, helping to improve patient outcomes.

About Applied IntuitionApplied Intuition, Inc., established in 2017 and currently valued at $15 billion, is at the forefront of revolutionizing physical AI. Based in Silicon Valley, we are building the digital infrastructure necessary to infuse intelligence into every moving machine globally. We cater to industries such as automotive, defense, trucking, construction, mining, and agriculture through three core offerings: tools and infrastructure, operating systems, and autonomy. Trusted by 18 of the world's top 20 automakers and the U.S. military alongside its allies, our solutions are pivotal in delivering physical intelligence. Our headquarters are located in Sunnyvale, California, with additional offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.We are an in-office organization, with the expectation that employees primarily work from their Applied Intuition office five days a week. However, we value flexibility and trust our employees to manage their schedules responsibly, which may include occasional remote work, beginning the day with morning meetings from home, or leaving earlier to accommodate family obligations.About the RoleYour Responsibilities at Applied Intuition:Design, develop, and productionize scalable internal tools and AI workflows that facilitate system engineering and validation for autonomous vehicle initiatives.Integrate data across requirements management, modeling, and validation tools to ensure comprehensive traceability from system requirements to test outcomes.Build backend services and APIs to consolidate distributed engineering artifacts into a reliable, cohesive platform.Create dashboards and KPIs to evaluate requirement coverage, trace completeness, and validation progress.Take ownership of and enhance the core traceability data model, enabling bidirectional traceability, versioning, baselining, and change impact analysis.Refactor internal prototypes into production-grade, certifiable systems with robust reliability, access control, and auditability.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technology. Since its inception in 2017, the company has grown to a valuation of $15 billion, establishing itself in Silicon Valley as a leader in creating the digital framework essential for embedding intelligence into every moving machine worldwide. Our solutions cater to a diverse range of industries, including automotive, defense, trucking, construction, mining, and agriculture, focusing on three key areas: tools and infrastructure, operating systems, and autonomy. Our expertise is trusted by 18 of the top 20 global automakers and the United States military and its allies. Headquartered in Sunnyvale, California, we also have offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.At Applied Intuition, we foster a flexible work environment while primarily expecting our employees to work from the office five days a week. We value work-life balance and allow for occasional remote work, enabling our team members to manage their schedules responsibly, including starting the day with remote meetings or leaving early for family commitments.About the role and teamWe are in search of a dedicated Research Engineer to become a vital member of our Research Group at Applied Intuition. Our mission is to pioneer next-generation physical AI technologies, with a strong focus on two transformative applications: end-to-end autonomous driving and robotic generalization. Our team comprises leading experts from prestigious institutions and companies, recognized for their profound contributions in both academia and industry, including eight Best Paper awards at top-tier conferences and journals such as CVPR and ICRA. Learn more about our research initiatives at appliedintuition.com/research.With access to industry-leading tools and infrastructure, our researchers can leverage millions of miles of data from extensive fleets, applying developed methodologies to various autonomous and robotic systems, including self-driving vehicles.

Role overview Bosch Group seeks a Director of Simulation and Evaluation for its Autonomous Driving division in Sunnyvale. This leadership position centers on advancing simulation methods and evaluation processes that support the development of autonomous vehicle technology. What you will do Lead the development of simulation techniques designed for autonomous driving systems. Oversee the creation and ongoing improvement of evaluation processes to help meet safety and efficiency objectives. Collaborate with cross-functional teams to design, implement, and refine simulation workflows. Guide the assessment and adoption of new technologies and methodologies for autonomous vehicles. Impact This role shapes Bosch Group’s approach to testing and validating autonomous driving technologies. The work directly affects future mobility solutions and contributes to industry safety standards.

At Coram AI, we are transforming the landscape of video security in the digital age. Our innovative cloud-native platform leverages advanced computer vision and artificial intelligence to empower businesses with enhanced safety, smarter decision-making capabilities, and accelerated operational efficiency through features like real-time alerts, effortless clip sharing, and comprehensive multi-site visibility.Join our dynamic and agile team that prioritizes clarity, craftsmanship, and impactful contributions. Every team member plays a crucial role, delivering significant results and shaping the future of AI-driven security solutions.We are seeking an experienced Engineering Manager to lead our talented AI team at Coram. This team, although small, is exceptionally skilled and operates at the forefront of real-time systems, computer vision, and generative AI.In this hands-on leadership role, you will blend technical guidance, architectural oversight, recruitment, and team management. The ideal candidate will possess up-to-date knowledge of modern deep learning and generative AI, along with substantial experience in building and leading high-performance teams.

Join Wayve Technologies as a Principal Machine Learning Engineer, where you will lead innovative projects that push the boundaries of application software development. You will collaborate with cross-functional teams to design, implement, and optimize machine learning algorithms that enhance our software solutions.

Join Bosch as an enthusiastic intern and contribute to pioneering advancements in reinforcement learning and simulation for autonomous vehicle planning. This role focuses on innovative research and development of cutting-edge algorithms, conducting experiments, and translating groundbreaking ideas into viable products.Internship Opportunities: Collaborate with a team of skilled researchers and engineers in one of the following domains:GPU-Accelerated Simulation for Reinforcement Learning:Design and improve high-performance, scalable simulation environments specifically for reinforcement learning applications in autonomous driving.ML-Based Planning Models Integration:Create, train, and embed planning models for autonomous driving, utilizing GPU-accelerated simulations to enhance performance in complex driving scenarios.Hybrid Learning Approaches:Innovate and enhance learning methodologies that integrate imitation and reinforcement learning, emphasizing multi-agent self-play techniques.Key Responsibilities:Engage in transformative engineering projects that apply deep learning and reinforcement learning to resolve challenges in autonomous driving planning and simulation.Collaborate with an international team of experts to implement advanced research results into Bosch's business units, testing and validating concepts in simulated environments and with self-driving vehicles.Work alongside domain specialists to explore novel learning-based planning and decision-making strategies.Conduct benchmarking and validation of models using extensive datasets and simulations.Share research outcomes through comprehensive internal reports and potential external publications.

Join our innovative team at Intuitive Surgical, Inc. as a Principal Research Engineer. In this pivotal role, you will lead advanced research initiatives to enhance our cutting-edge surgical technologies. Your expertise will contribute to the development of innovative solutions that improve patient outcomes and streamline surgical procedures.

Are you an innovative researcher with a passion for transforming theoretical concepts into practical applications? Do you excel in tackling complex challenges within distributed systems, such as artificial intelligence at the edge, cybersecurity, and software-defined networking for autonomous machines? If you're a visionary thinker eager to collaborate at the crossroads of product development and cutting-edge technology, this opportunity is perfect for you! As a principal member of our distinguished research team, celebrated for its remarkable success in research commercialization, you'll play a pivotal role in ensuring our software infrastructure remains at the forefront of the industry. Your research will not just stay confined to the lab; rather, you will spearhead initiatives that will propel advancements in autonomous vehicles, medical robotics, and intelligent power systems. Engage in groundbreaking research on distributed systems that builds on a solid, data-driven foundation while tackling the most challenging problems across the technology stack—from communication protocols for intelligent machines to their decision-making processes in real-world scenarios.

At Coram AI, we are revolutionizing video security for the contemporary landscape. Our innovative cloud-native platform leverages advanced computer vision and artificial intelligence to empower businesses to enhance safety, facilitate informed decision-making, and accelerate operations. This includes features such as real-time alerts, effortless clip sharing, and comprehensive visibility across multiple locations.Joining our agile and dynamic team means being part of a collaborative environment that prioritizes clarity, excellence, and impactful contributions. Every team member has a voice, delivers significant work, and plays a crucial role in shaping how AI can foster a safer and more interconnected world.We are seeking engineers who thrive at the nexus of robotics, real-time systems, and deep learning. This position focuses on implementing high-performance vision and multimodal models on robotic platforms, where factors such as latency, reliability, and hardware limitations are paramount.

At Wayve, we are dedicated to fostering a diverse, equitable, and inclusive culture that values each individual's unique skills and perspectives, irrespective of their sex, race, religion, ethnic or national origin, disability, age, citizenship, marital status, sexual orientation, gender identity, veteran status, pregnancy, or any other legally protected status.About UsFounded in 2017, Wayve is at the forefront of developing Embodied AI technology. Our cutting-edge AI software and foundation models empower vehicles to perceive, comprehend, and navigate complex environments, enhancing the safety and usability of automated driving systems.Our vision is to create autonomous solutions that move the world forward. Our intelligent, mapless, and hardware-agnostic AI products are tailored for automakers, driving the transition from assisted to fully automated driving. In our dynamic environment, we tackle significant challenges with enthusiasm, embracing complexity to unlock innovative solutions. We strive for excellence while remaining humble, consistently learning and evolving towards a smarter and safer future.At Wayve, your contributions are essential. We cherish diversity, welcome new insights, and promote an inclusive work atmosphere where we support one another to make a meaningful impact.Join Wayve and embark on a career-defining journey!The RoleAs a Software Engineer, you will engage with Wayve’s next-generation compute and sensor platform and contribute to all aspects of the software development lifecycle.As a key member of the Robot Software team, you will collaborate to develop software for edge devices that provide critical data and facilitate autonomy across a large fleet of vehicles. You will have a crucial role in ensuring that the software you develop operates reliably at scale, while also working closely with our Embodied AI and Science teams to provide them with the necessary data and interfaces for model training, experimentation, and performance feedback.

Join LinkedIn as a Principal Staff Software Engineer specializing in Systems and Infrastructure. We are looking for a visionary leader who can drive the architecture and development of our core systems, ensuring scalability and efficiency. You will collaborate with cross-functional teams to innovate and enhance our infrastructure, making a significant impact on our global user base.