Research Intern in Reinforcement Learning for Autonomous 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,…

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing the future of physical AI. Established in 2017 and currently valued at $15 billion, this Silicon Valley-based company is developing the digital infrastructure essential for instilling intelligence into every moving machine globally. Applied Intuition provides innovative solutions to a spectrum of industries, including automotive, defense, trucking, construction, mining, and agriculture, focusing on tools and infrastructure, operating systems, and autonomy. Renowned by eighteen of the top twenty global automakers, as well as the U.S. military and its allies, our solutions are trusted to deliver unparalleled physical intelligence. Our headquarters is located in Sunnyvale, California, with additional offices spread 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 adopt an in-office culture, expecting 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 Scientists to join our dynamic Research Group at Applied Intuition. Our mission is to innovate groundbreaking technologies that empower the next generation of physical AI, focusing on two pivotal applications that are transforming our daily lives: end-to-end autonomous driving and robotic general intelligence. Our team is composed of leading experts from prestigious institutions and companies, recognized for their outstanding contributions to academia and industry, including eight Best Paper awards from leading conferences and journals such as CVPR and ICRA. To learn more, visit appliedintuition.com/research.Backed by industry-leading tools and infrastructure, researchers have access to extensive datasets derived from large fleets and can deploy their developed methods across diverse 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.

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 building the essential digital infrastructure to infuse intelligence into every moving machine on Earth. Serving a diverse range of industries including automotive, defense, trucking, construction, mining, and agriculture, Applied Intuition excels in three key domains: tools and infrastructure, operating systems, and autonomy. Eighteen of the world's top 20 automakers, along with the United States military and its partners, rely on our solutions to deliver physical intelligence. Our headquarters is located in Sunnyvale, California, with additional offices in Washington, D.C.; San Diego; Ft. Walton Beach, FL; Ann Arbor, MI; 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. This may include occasional remote work, starting the day with morning meetings from home, or leaving early for family commitments.Role and Team OverviewWe seek a dedicated Research Engineer (AI/RL Infrastructure) to join our Research Group at Applied Intuition. This position is perfect for engineers who design, build, and maintain large-scale machine learning systems and collaborate closely with researchers to innovate and enhance the foundational platform for next-generation physical AI systems.The Research Group's mission is to develop pioneering technologies that facilitate next-generation physical AI, focusing on two of the most challenging applications that are transforming our daily lives: end-to-end autonomous driving and robotic generalists. Our team comprises leading experts from prestigious institutions and organizations, recognized for their outstanding contributions in both academia and industry, including multiple Best Paper awards at top conferences and journals such as CVPR and ICRA. For further insights, visit appliedintuition.com/research.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of physical AI innovation. Established in 2017 and valued at $15 billion, our Silicon Valley-based company is building the essential digital infrastructure to integrate intelligence into every mobile machine worldwide. We cater to the automotive, defense, trucking, construction, mining, and agriculture sectors across three primary domains: tools and infrastructure, operating systems, and autonomy. Our solutions are trusted by 18 of the world's 20 leading automotive manufacturers, as well as the U.S. military and its allies. Our headquarters are located in Sunnyvale, California, with additional offices in Washington, D.C.; San Diego; Ft. Walton Beach, FL; Ann Arbor, MI; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.We are an in-office organization, and we expect our team members to work predominantly from the Applied Intuition office five days a week. Nevertheless, we understand the significance of 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 early for family commitments.About the Role:We are seeking enthusiastic Research Interns to join our Research Group at Applied Intuition. Our group's mission is to develop state-of-the-art technology that enables the next generation of physical AI. We focus on two of the most complex applications that are transforming our daily lives: end-to-end autonomous driving and robotic generalists. Our team includes leading experts from prestigious institutions and companies, recognized for their outstanding contributions to academia and industry, with accolades including eight Best Paper awards at top conferences and journals such as CVPR and ICRA. For more details, visit appliedintuition.com/research.Equipped with industry-leading tools and infrastructure, our researchers have access to millions of miles of data from extensive fleets and can implement the methods they develop into various autonomous and robotic systems, including self-driving vehicles, autonomous mining and construction machines, humanoid robots, and dexterous hands.

About the Institute of Foundation ModelsWe are a pioneering research laboratory focused on the creation, comprehension, utilization, and risk management of foundation models. Our mission is to propel advancements in research, cultivate the next generation of AI innovators, and contribute significantly to a knowledge-driven economy.As a member of our esteemed team, you'll engage with leading researchers, data scientists, and engineers on the forefront of foundation model training, addressing some of the most crucial challenges in AI development. This role presents a unique opportunity to develop groundbreaking AI solutions with the potential to transform entire industries. Your strategic and innovative problem-solving capabilities will be vital in positioning MBZUAI as a global center for high-performance computing in deep learning, inspiring future AI trailblazers.Position SummaryAs a Research Scientist on our Reinforcement Learning team, you will be instrumental in shaping our scientific and technical strategies towards developing advanced capabilities in Foundation Models. This position requires innovating new methodologies in Reinforcement Learning to drive paradigm shifts in foundation modeling. Your responsibilities will include prototyping and refining novel learning approaches, enhancing large-scale RL training infrastructure, and producing reproducible code for public dissemination. Additionally, you will be expected to cultivate and maintain an impactful research portfolio through both internal and external collaborations.Key Responsibilities- Innovate research focused on large-scale self-play for foundation model training, agentic tasks, and equipping models with the ability to learn proactively from their environment.- Initiate and pursue cutting-edge algorithmic strategies within reinforcement learning to define and advance emergent capabilities in Foundation Models.- Engage in full-stack engineering, encompassing data curation, model architecture, algorithm design, and the final deployment of models for end-users with a commitment to high-quality, documented, and maintainable code.- Contribute to technical reports and research publications.- Represent MBZUAI at industry conferences and events.

Role Overview Bosch Group is seeking a Research Engineer focused on End-to-End Autonomous Systems in Sunnyvale. This position centers on advancing the technology behind autonomous vehicles, with a strong emphasis on both research and practical implementation. What You Will Do Develop and implement advanced algorithms for autonomous systems Design system architectures that improve autonomous vehicle performance Contribute technical expertise to projects shaping the future of autonomous mobility Location This role is based in Sunnyvale.

Role overview Bosch Group is hiring a Research Scientist to work on comprehensive planning in autonomous systems. This role is based in Sunnyvale, CA and focuses on end-to-end planning for advanced autonomy projects. The work centers on research and development that shapes the future of autonomous technology. What you will do Advance research and development in planning for autonomous systems. Use technical expertise to improve how autonomous technologies perform and operate. Support projects that help define the capabilities and direction of upcoming autonomous systems. Location Sunnyvale, CA

Role overview The Senior Research Scientist position at Bosch Group focuses on advancing end-to-end planning for autonomous systems. Located in Sunnyvale, this role centers on research that drives progress in autonomous technologies. Key responsibilities Lead research projects that explore and improve end-to-end planning for intelligent systems. Work alongside colleagues from diverse technical backgrounds. Support the ongoing development of autonomous technology within Bosch. Collaboration and impact Collaboration with multidisciplinary teams is central to this role. The work directly influences the direction and future capabilities of autonomous systems at Bosch through research and innovation.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of shaping the future of physical AI. Founded in 2017, our company is valued at $15 billion and is dedicated to building the digital infrastructure necessary to integrate intelligence into every moving machine worldwide. We provide innovative solutions across various sectors, 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, as well as the United States military and its allies. We are headquartered 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 embrace a strong in-office culture, expecting our team members to 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 and accommodating family commitments.About the Role and TeamWe are seeking multiple enthusiastic Research Scientists to join our Research Group at Applied Intuition. Our mission is to pioneer advanced technologies that enable next-generation physical AI, specifically focusing on the two most critical applications transforming our daily lives: end-to-end autonomous driving and robotic generalist systems. Our team comprises leading experts from premier institutions and organizations, recognized for their outstanding contributions to academia and industry, including eight Best Paper awards at esteemed conferences and journals like CVPR and ICRA. To learn more about our research initiatives, visit appliedintuition.com/research.Equipped with industry-leading tools and infrastructure, our researchers can access vast datasets from extensive fleets and implement the methodologies they develop into various autonomous and robotic systems, including self-driving vehicles and automation technologies.

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.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of transforming physical AI. Established in 2017 and currently valued at $15 billion, this Silicon Valley firm is pioneering the digital framework essential for infusing intelligence into every moving machine globally. Applied Intuition caters to the automotive, defense, trucking, construction, mining, and agriculture sectors through three primary domains: tools and infrastructure, operating systems, and autonomy. The company is trusted by 18 of the top 20 global automakers, along with the United States military and its allies, to provide solutions that enhance physical intelligence. Headquartered in Sunnyvale, California, Applied Intuition also has offices in various locations including Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. For more information, visit applied.co.We operate as an in-office company with an expectation that employees primarily work from the Applied Intuition office five days a week. However, we value flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home, or leaving earlier when necessary to accommodate family obligations.Hear from our EngineersAbout the RoleWe are seeking a talented System Safety Engineer with a solid background in Advanced Driver Assistance Systems (ADAS) and/or autonomous driving technologies. This engineer will be responsible for defining and managing safety architecture and requirements for both autonomy software and hardware. Your contributions will be pivotal in shaping the technical trajectory of our innovative projects within the automotive landscape.At Applied Intuition, You Will:Develop and oversee safety concepts, requirements, and specifications for autonomy software and hardware associated with our Level 4 Self-Driving System (SDS) product line.Lead initiatives for the development of robust safety architecture.Conduct comprehensive safety analyses, including Failure Mode and Effects Analysis (FMEA), Fault Tree Analysis (FTA), and System-Theoretic Process Analysis (STPA), ensuring all relevant safety standards are met.

Discover Applied IntuitionFounded in 2017 and currently valued at $15 billion, Applied Intuition, Inc. is at the forefront of advancing physical AI technologies. Our mission is to establish the digital infrastructure that will integrate intelligence into moving machines worldwide. We cater to diverse sectors including automotive, defense, trucking, construction, mining, and agriculture, focusing on three key areas: tools and infrastructure, operating systems, and autonomy. Our solutions are trusted by leading global automakers and the United States military. Headquartered in Sunnyvale, California, we also have offices in major cities worldwide including Washington, D.C., San Diego, Ft. Walton Beach, Ann Arbor, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Explore more at applied.co.As an in-office company, we expect our employees to work from the Applied Intuition office five days a week. We also value flexibility, allowing for responsible management of schedules, which may include occasional remote work or adjusted hours for family commitments.Role Overview and Team DynamicsWe are excited to invite multiple passionate Research Engineers to join our Research Group at Applied Intuition. Our mission is to pioneer groundbreaking technology that will drive the next generation of physical AI, focusing on challenging applications such as end-to-end autonomous driving and robotic generalists. The team comprises leading experts recognized for their academic and industry contributions, including several Best Paper awards from premier conferences like CVPR and ICRA. Learn more about our research initiatives at appliedintuition.com/research.With access to industry-leading tools and infrastructure, our researchers can utilize millions of miles of data from extensive fleets, deploying innovative methods across various autonomous and robotic systems, including self-driving vehicles.

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.

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 complex ML workloads, with a strong emphasis on performance and reliability. What you will do Lead the creation and enhancement of machine learning solutions for autonomous driving applications. Design, implement, and maintain ML platforms to ensure they meet high standards for scalability and reliability. Requirements Extensive experience in building and maintaining machine learning platforms. Background in supporting ML solutions for autonomous vehicle technology or similar fields. Strong skills in designing scalable and high-performance systems.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing the future of physical AI. Established in 2017 and currently valued at $15 billion, this innovative Silicon Valley company is building the essential digital infrastructure to integrate intelligence into every mobile machine globally. Applied Intuition provides solutions across various sectors, including automotive, defense, trucking, construction, mining, and agriculture, focusing on tools and infrastructure, operating systems, and autonomy. Our technology is trusted by 18 of the world's top 20 automotive manufacturers, as well as the U.S. military and its allies, to deliver reliable physical intelligence. Headquartered in Sunnyvale, California, we have additional offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. To learn more, visit applied.co.As an in-office company, we expect employees to primarily work from their Applied Intuition office five days a week, while also valuing flexibility in managing their schedules. This may allow for occasional remote work, starting the day with morning meetings from home, or leaving early to accommodate family commitments.Hear from our Engineers:About the RoleWe are seeking a skilled Perception Systems Engineer with a background in Advanced Driver Assistance Systems (ADAS) and/or autonomous driving technology. In this role, you will define and oversee the perception subsystem requirements while assessing its safety and performance for large-scale autonomous driving initiatives. Your contributions will be pivotal in influencing the technical direction of our projects within the automotive sector.ResponsibilitiesDesign, monitor, and manage comprehensive subsystem-level requirements for perception systems to ensure compliance with intended specifications.

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

At Cerebras Systems, we are at the forefront of AI technology, developing the world's largest AI chip that is 56 times larger than conventional GPUs. Our innovative wafer-scale architecture enables the computational power of dozens of GPUs on a single chip, simplifying programming to the ease of handling one device. This unique design allows us to achieve unparalleled training and inference speeds, empowering machine learning practitioners to seamlessly deploy large-scale ML applications without the complexity of managing numerous GPUs or TPUs.Our clientele includes leading model labs, global enterprises, and pioneering AI-native startups. Recently, OpenAI announced a multi-year partnership with Cerebras aimed at leveraging 750 megawatts of scale to revolutionize critical workloads through ultra-high-speed inference.Thanks to our groundbreaking wafer-scale architecture, Cerebras Inference delivers the fastest Generative AI inference solution globally, exceeding GPU-based hyperscale cloud inference services by over tenfold. This significant boost in speed is transforming the user experience of AI applications, facilitating real-time iteration and enhancing intelligence through added agentic computation.About The RoleAs an Applied Machine Learning Research Scientist at Cerebras, you will be instrumental in converting modern machine learning methodologies into scalable, high-performance systems. This position focuses on the intersection of modeling and systems, emphasizing the efficient execution of existing algorithms rather than merely publishing new ones. Your efforts will significantly influence the training, optimization, and deployment of large language models (LLMs) on one of the most sophisticated AI platforms in existence.You will collaborate closely with fellow researchers and senior engineers to enhance workflows for LLM pretraining, fine-tuning, and reinforcement learning-based post-training. Your responsibilities will encompass building training pipelines, debugging complex system behaviors, improving model quality, and refining data and evaluation strategies. Your contributions will have a direct and meaningful impact on advancing our capabilities in AI.

Are you an innovative researcher who thrives on transforming concepts into real-world solutions? Are you passionate about tackling the most pressing challenges in distributed systems, including AI at the edge, cybersecurity, and software-defined networking for autonomous machines? If you envision yourself at the crossroads of product development and cutting-edge technology, this position is perfect for you! Joining our elite research team, recognized among the top 1% nationally for research commercialization success, you will take on the role of Distributed Systems Research Engineer. Your work will not languish in the lab; instead, you will be pivotal in enhancing our standing as the leader in software infrastructure, contributing to advancements in autonomous vehicles, medical robotics, and smart power systems. Engage in groundbreaking research within distributed systems, leveraging a robust, data-centric approach while addressing some of the most complex challenges from communication to decision-making in intelligent machines.