Senior Machine Learning Platform Engineer for Autonomous Driving

42dot is seeking a Senior Machine Learning Platform Engineer to support its work in autonomous driving technology. This position is based in Sunnyvale, United States. Role overview This role focuses on developing machine learning platforms that support autonomous vehicle systems. The work involves designing and building scalable infrastructure to handle comp…

Wayve Technologies is searching for a Tech Lead, Machine Learning Engineer to join the autonomous vehicle product engineering group in Sunnyvale. This leadership role centers on guiding a team that develops sophisticated machine learning models for future mobility technologies. Role overview The Tech Lead will direct the design and deployment of machine learning algorithms tailored for autonomous vehicle systems. The position also includes mentoring junior engineers and collaborating with colleagues across multiple disciplines to ensure projects are delivered on time and meet quality standards. What you will do Lead the creation and implementation of machine learning solutions for autonomous vehicles Support and mentor junior engineers to strengthen their technical skills and project impact Coordinate with cross-functional teams to achieve project goals efficiently and with high quality Requirements Strong background in machine learning and artificial intelligence Proven experience leading or mentoring engineering teams Genuine interest in the intersection of AI and autonomous vehicle technology

About the Internship Bosch Group is seeking an Automated Driving Machine Learning Intern in Sunnyvale, California. This role offers hands-on experience with real projects in automated driving and machine learning. Interns will apply academic skills to practical challenges in the field.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technology. Established in 2017 and currently valued at $15 billion, this Silicon Valley powerhouse is creating the essential digital framework that will infuse intelligence into every moving machine worldwide. Our solutions serve key sectors including automotive, defense, trucking, construction, mining, and agriculture, focusing on three main areas: tools and infrastructure, operating systems, and autonomy. Our trusted solutions are utilized by 18 of the top 20 global automakers and the United States military along with its allies. Our headquarters is 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. Find out more at applied.co.We prioritize in-office collaboration, expecting our employees to work from their Applied Intuition office five days a week, while also embracing flexibility. Employees are trusted to manage their schedules, which may include occasional remote work, starting the day with morning meetings from home, or leaving early for family commitments.Hear from an Engineer:About the roleWe are searching for a talented software engineer specializing in perception for autonomous vehicles or mobile robotics. Your role will involve enhancing perception modules within our autonomous vehicle framework, including the development of 4D world representations to facilitate seamless autonomy. You will also lead the design and implementation of computer vision and machine learning strategies that empower self-driving vehicles to navigate effectively.In this dynamic and customer-centric team environment, you will not only contribute your engineering skills but also gain insights into best practices within the evolving autonomy sector. Our fast-paced culture encourages innovation and collaboration.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of physical AI innovation. Established in 2017 and currently valued at $15 billion, this Silicon Valley firm is developing the essential digital infrastructure required to integrate intelligence into every moving machine globally. Serving vital sectors such as automotive, defense, trucking, construction, mining, and agriculture, Applied Intuition focuses on three primary areas: tools and infrastructure, operating systems, and autonomy. Our solutions are trusted by 18 of the world's top 20 automakers, along with the United States military and its allies, to deliver transformative physical intelligence. With headquarters in Sunnyvale, California, we boast 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 embrace a culture of in-office collaboration, with a primary expectation for our team members to work from the Applied Intuition office five days a week. However, we value flexibility and trust our employees to manage their schedules responsibly. This includes the possibility of occasional remote work, starting the day with morning meetings from home, or leaving early to accommodate family obligations.About the RoleThe Data & Machine Learning Pipeline Engineer will play a crucial role in Applied Intuition's data flywheel initiative, developing systems that link vehicle data collection, training, and automated model enhancement. You will establish the infrastructure that enables our autonomous driving stack to learn continuously from both real-world and simulated data, thereby accelerating development across teams focused on perception, planning, and control.This position resides at the intersection of large-scale data engineering and machine learning infrastructure. You will collaborate closely with ML engineers and system developers to automate processes related to data selection, curation, and model iteration, ensuring our vehicles can improve autonomously with minimal human input.

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.

42dot is hiring a Senior AI Data Pipeline Engineer to support autonomous driving initiatives in Sunnyvale, United States. This position centers on building and refining data pipelines that power advanced vehicle systems. Role overview This engineer will design, implement, and optimize data workflows essential for autonomous vehicle technology. The work involves collaborating with teams across disciplines to ensure reliable and efficient data movement and processing. Key responsibilities Create and maintain data pipelines tailored for AI-driven vehicle systems Work closely with engineering and product teams to support system safety and performance Apply knowledge of AI and data engineering to improve pipeline reliability and scalability Requirements Experience in AI and data engineering Background in designing and optimizing data pipelines Ability to collaborate with cross-functional teams

Cerebras Systems is at the forefront of AI innovation, creating the world’s largest AI chip, which is 56 times larger than traditional GPUs. Our groundbreaking wafer-scale architecture delivers the computational power equivalent to dozens of GPUs on a single chip, combined with the programming simplicity of a unified device. This innovative approach allows us to offer unparalleled training and inference speeds, enabling machine learning practitioners to execute extensive ML applications seamlessly, without the complexities of managing multiple GPUs or TPUs.Cerebras boasts an impressive clientele, including premier model labs, global corporations, and pioneering AI startups. Recently, OpenAI announced a multi-year partnership with Cerebras, aimed at deploying 750 megawatts of scale, revolutionizing critical workloads with ultra-fast inference capabilities.Our unique wafer-scale architecture enables Cerebras Inference to provide the fastest Generative AI inference solution globally, surpassing GPU-based hyperscale cloud inference services by more than tenfold. This remarkable enhancement in speed is reshaping the AI application user experience, facilitating real-time iteration and boosting intelligence through enhanced computational capabilities.About The RoleThe Inference ML Engineering team at Cerebras Systems is committed to empowering our rapid generative inference solution through intuitive APIs, supported by a distributed runtime that operates on extensive clusters of our proprietary hardware. Our goal is to enable enterprises, developers, and researchers to fully harness the capabilities of our platform, leveraging its exceptional performance, scalability, and flexibility. The team collaborates closely with cross-functional groups, including compiler developers, cluster orchestrators, ML scientists, cloud architects, and product teams, to deliver impactful solutions that redefine the limits of ML performance and usability.As a Senior Software Engineer on the Inference ML Engineering team, you will be instrumental in designing and implementing APIs, ML features, and tools that facilitate the execution of state-of-the-art generative AI models on our custom hardware. Your role will involve architecting solutions that allow for seamless model translation and execution, ensuring high throughput and minimal latency while maintaining user-friendliness. You will lead technical initiatives and collaborate with other engineering teams to enhance our solutions.

Illumio builds technology to contain ransomware and security breaches, helping organizations defend against cyber threats. The Illumio AI Security Graph underpins a platform that spots and contains threats in hybrid multi-cloud setups, aiming to stop attacks before they spread. Illumio is recognized as a leader in microsegmentation and supports Zero Trust architectures for critical infrastructure. The engineering team focuses on advancing cybersecurity through leadership, autonomy, and a strong sense of ownership. Engineers here develop and maintain a scalable SaaS platform using cloud-native tools, with deployments in both cloud and on-premises environments. Precision, quality, and collaboration shape the team's work, and engineers are encouraged to take initiative at every level. This Senior Machine Learning Engineer role is based onsite at Illumio’s Sunnyvale headquarters. The position centers on designing and scaling systems that power Illumio’s AI-driven security platform. Work involves handling large-scale data, distributed systems, and building advanced AI agents. Key Responsibilities Design and optimize high-throughput, event-driven systems with Apache Kafka to support real-time data flows. Develop and maintain large-scale data pipelines using Apache Spark or Flink for high-volume analytics and AI features. Create advanced AI agents that handle autonomous planning, memory management, and reliable tool use in distributed environments. Lead architectural design for containerized services on Kubernetes, focusing on availability and scalability across cloud platforms such as AWS, Azure, and GCP.

About the Institute of Foundation ModelsWe are an innovative research laboratory focused on the creation, comprehension, application, and risk management of foundation models. Our mission is to propel research forward, cultivate the next generation of AI innovators, and contribute significantly to a knowledge-driven economy.Joining our team presents a unique opportunity to engage in the core of advanced foundation model training, collaborating with leading researchers, data scientists, and engineers as we address the most pivotal and influential challenges in AI advancement. Your work will involve the creation of groundbreaking AI solutions with the potential to revolutionize entire industries. Employing strategic and innovative problem-solving skills will be crucial in establishing MBZUAI as a premier global center for high-performance computing in deep learning, fostering remarkable discoveries that inspire future AI trailblazers.

About Applied IntuitionFounded in 2017 and currently valued at $15 billion, Applied Intuition, Inc. is at the forefront of advancing physical AI technology. This Silicon Valley-based company is dedicated to building the digital infrastructure that enables intelligent capabilities in every moving machine globally. Our innovative solutions serve critical sectors such as automotive, defense, trucking, construction, mining, and agriculture, focusing on tools and infrastructure, operating systems, and autonomy. Trusted by eighteen of the top twenty global automakers and the United States military, Applied Intuition is headquartered in Sunnyvale, California, with a global presence including offices in Washington, D.C., San Diego, Ft. Walton Beach, Florida, Ann Arbor, Michigan, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Discover more about us at applied.co.We strongly believe in the importance of flexibility in the workplace. While we expect our employees to work from their Applied Intuition office five days a week, we also support occasional remote work, allowing our team members to manage their schedules responsibly, such as starting the day with morning meetings from home or leaving early for family commitments.About the Role and TeamWe are seeking a dedicated Research Engineer to join our Research Group at Applied Intuition. This team is committed to pioneering advanced technology that facilitates the next wave of physical AI, particularly in the realms of end-to-end autonomous driving and robotic generalization. Our team consists of distinguished experts from leading institutions and companies, recognized for their significant contributions to both academia and industry, including eight Best Paper awards at leading conferences like CVPR and ICRA. Supported by top-tier tools and infrastructure, our researchers have access to extensive datasets from large fleets and the ability to implement innovative methods across various autonomous and robotic platforms, 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.

About the Institute of Foundation ModelsWe are a pioneering research laboratory focused on the development, understanding, application, and risk management of foundational models. Our mission is to propel research forward, cultivate the next generation of AI innovators, and make substantial contributions to a knowledge-driven economy.Join us and collaborate with top-tier researchers, data scientists, and engineers on the forefront of foundational model training. Engage in solving critical challenges that can redefine entire sectors through advanced AI solutions. Your strategic and innovative problem-solving skills will play a vital role in positioning MBZUAI as an international leader in high-performance computing for deep learning, facilitating discoveries that will inspire future AI trailblazers.The Role We are seeking a skilled distributed ML infrastructure engineer to enhance and expand our training systems. You will collaborate closely with distinguished researchers and engineers to:• Develop and scale distributed training frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod)• Implement distributed optimizers based on mathematical specifications• Create robust configuration and launching systems across multi-node, multi-GPU clusters• Manage experiment tracking, metrics logging, and job monitoring for enhanced external visibility• Enhance the reliability, maintainability, and performance of training systems• While much of your work will support large-scale pre-training, prior pre-training experience is not mandatory; strong infrastructure and systems expertise are our primary focus.Key Responsibilities • Distributed Framework Ownership – Extend or adapt training frameworks (e.g., DeepSpeed, FSDP) to accommodate new applications and architectures.• Optimizer Implementation – Convert mathematical optimizer specifications into distributed implementations.• Launch Config & Debugging – Develop and troubleshoot multi-node launch scripts with adaptable batch sizes and parallelism strategies.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI. Established in 2017 and currently valued at approximately $15 billion, this Silicon Valley-based company is dedicated to developing the digital infrastructure essential for instilling intelligence in every moving machine globally. We cater to various sectors, including automotive, defense, trucking, construction, mining, and agriculture, focusing on three main areas: tools and infrastructure, operating systems, and autonomy. Our solutions have earned the trust of 18 of the top 20 global automakers and the United States military and its allies. Headquartered in Sunnyvale, California, we 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.We prioritize in-office collaboration and expect employees to work from their Applied Intuition office five days a week. However, we also value flexibility and trust our employees to responsibly manage their schedules, which may include occasional remote work, starting the day with morning meetings from home, or leaving earlier to accommodate family obligations.About the RoleWe are seeking infrastructure engineers with a strong background in machine learning pipelines, as well as ML engineers who are eager to extend their skills beyond modeling. This position will involve engagement across the complete ML lifecycle, including dataset generation, training frameworks, compute, evaluation, and deployment, collaborating closely with modeling teams. If you thrive on tackling broad and ambiguous challenges and enjoy working across the entire ML stack, this team is the perfect fit for you. At Applied Intuition, we encourage all engineers to take ownership of technical and product decisions, actively engage with both internal and external users to gather feedback, and contribute to a thoughtful, dynamic team culture.At Applied Intuition, You Will:Design and implement distributed cloud GPU training strategies for deep learning model training and evaluation.Create comprehensive machine learning pipelines and integrate them into our core systems.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technology. Established in 2017 and now valued at a remarkable $15 billion, our Silicon Valley-based company is dedicated to developing the digital infrastructure necessary to infuse intelligence into every moving machine across the globe. We cater to various sectors, including automotive, defense, trucking, construction, mining, and agriculture, focusing on tools and infrastructure, operating systems, and autonomy. Our solutions are trusted by 18 of the top 20 global automakers and the United States military along with its allies. Our headquarters is 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.As an in-office company, we expect our employees to 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, starting the day with morning meetings from home, or leaving early for family commitments.About the Role and TeamWe are seeking multiple enthusiastic Research Engineers to join our Research Group at Applied Intuition. The group's mission is to pioneer innovative technology that supports the next generation of physical AI, focusing particularly on the transformative applications of end-to-end autonomous driving and robotic generalist solutions. Our team comprises leading experts from top institutions and organizations, recognized for their outstanding academic and industry contributions, including eight Best Paper awards at prestigious conferences and journals such as CVPR and ICRA. To learn more, visit appliedintuition.com/research.With access to industry-leading tools and infrastructure, our researchers can utilize millions of miles of data from extensive fleets and implement their developed methods into various autonomous and robotic systems, including self-driving cars and trucks.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technologies. Established in 2017 and currently valued at $15 billion, this Silicon Valley powerhouse is dedicated to developing the essential digital infrastructure that will empower intelligent operations in every vehicle and machine worldwide. Our innovative solutions cater to the automotive, defense, trucking, construction, mining, and agriculture sectors, focusing on three pivotal areas: tools and infrastructure, operating systems, and autonomous capabilities. Our reputation is underscored by the trust placed in us by 18 of the top 20 global automakers and the United States military, among others. Our headquarters is 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 promote a collaborative in-office culture and expect our team members to primarily work from their Applied Intuition office five days a week. However, we also value flexibility, allowing our employees to manage their schedules responsibly, which may include occasional remote work, starting the day with morning meetings from home, or leaving early to meet family obligations.About the Role and TeamWe are seeking enthusiastic Research Scientists to join our dynamic Research Group at Applied Intuition. Our mission is to develop pioneering technologies that drive the evolution of physical AI, particularly in two transformative applications: end-to-end autonomous driving and general-purpose robotics. Our team comprises distinguished experts from leading institutions and companies, celebrated for their remarkable contributions to both academia and industry, including eight Best Paper awards at prestigious conferences 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 and implement their innovative methods across diverse autonomous and robotic systems, including self-driving vehicles and autonomous machinery.

Join our dynamic team as a Senior Machine Learning Engineer at Intuitive, where you will play a pivotal role in advancing our robotic surgery technologies. We are looking for a talented individual with a strong background in machine learning, artificial intelligence, and data analysis.

At Bee Genius, we are pioneering the future of work today with innovative AI solutions that transform industries.Job Overview: We are looking for a talented AI/Machine Learning Engineer to become a vital part of our dynamic team. In this role, you will leverage your expertise to develop and deploy cutting-edge machine learning models and algorithms aimed at addressing complex business challenges.Key Responsibilities:Design, build, and refine machine learning models and algorithms.Train and assess models using extensive datasets.Optimize models for enhanced performance and accuracy.Collaborate with data scientists and software engineers to integrate models into operational systems.Stay abreast of the latest trends in AI and machine learning technologies.Promote the ethical deployment of AI solutions.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technology. Established in 2017 and currently valued at $15 billion, this Silicon Valley-based company is building the essential digital infrastructure to infuse intelligence into every moving machine worldwide. We cater to industries such as automotive, defense, trucking, construction, mining, and agriculture through three primary sectors: tools and infrastructure, operating systems, and autonomy. Our solutions are trusted by 18 of the top 20 global automakers, along with the United States military and its allies, to deliver exceptional physical intelligence. Our headquarters is located in Sunnyvale, California, with additional offices across 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 company, expecting our employees to primarily work from their Applied Intuition office five days a week. We understand the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.About the RoleWe are in search of a skilled software engineer with extensive experience in optimizing machine learning models and deploying them in production-grade embedded runtime environments. Your expertise will span the entire ML framework stack, including PyTorch, JAX, ONNX, TensorRT, CUDA, XLA, and Triton.At Applied Intuition, You Will:Lead ML performance optimization across various technologies for both on-road and off-road ADAS/AD stacks aimed at deployment on a range of embedded computing platforms.Devise compute usage strategies to enhance efficiency and minimize latency of model inference for compute boards chosen by our customers.Engage in model pruning and quantization, ensuring successful deployment on memory-constrained platforms.Collaborate closely with ML engineers and software developers to identify and optimize efficient model architecture solutions.Establish methodologies to...

Cerebras Systems is at the forefront of AI innovation, having developed the world's largest AI chip, which is 56 times greater in size than conventional GPUs. Our revolutionary wafer-scale architecture delivers the computational power of multiple GPUs on a single chip, simplifying programming to a single device experience. This unique approach enables Cerebras to provide unparalleled training and inference speeds, allowing machine learning professionals to seamlessly operate large-scale ML applications without the complexities of managing numerous GPUs or TPUs.Our clientele includes leading model labs, global corporations, and pioneering AI-native startups. Recently, OpenAI formed a multi-year collaboration with Cerebras to harness 750 megawatts of capacity, revolutionizing critical workloads with ultra-fast inference capabilities.Thanks to our innovative wafer-scale architecture, Cerebras Inference stands as the fastest Generative AI inference solution globally, boasting speeds over ten times faster than traditional GPU-based hyperscale cloud inference services. This significant enhancement in speed transforms user experiences with AI applications, facilitating real-time iterations and augmenting intelligence through additional agentic computation.About The RoleIn the capacity of a Senior Software Engineer within the ML Integration and Quality team, you will be instrumental in integrating and delivering all software and hardware components of the Cerebras AI platform. Your focus will be on software feature integration and quality assurance, including pre-deployment and production validation of Cerebras' training and inference solutions. You will advocate for superior testing practices, effective debugging methodologies, and exemplary cross-team communication to ensure the delivery of world-class products.