robotics Jobs

Figure is an AI robotics company developing autonomous general-purpose humanoid robots with the goal of shipping robots with human-level intelligence for home and commercial markets. The Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are seeking a Helix AI Engineer, Video Pretraining to lead the development of large-scale video foundation models trained on diverse real-world and robot-collected data. This role focuses on pretraining models that learn from raw video, capturing motion, interaction, and temporal structure to enable downstream capabilities in perception, prediction, and embodied reasoning.

$200k - $400k

Figure is an AI robotics company developing autonomous general-purpose humanoid robots with the goal of shipping robots with human-level intelligence. These robots are engineered to perform a variety of tasks in both home and commercial markets. We are seeking a Reinforcement Learning Engineer to focus on the development, training, deployment, and evaluation of advanced reinforcement learning algorithms specifically for the whole-body control of our humanoid robots.

$150k - $350k

NVIDIA is seeking a research engineer to join the Isaac team, focusing on physical AI for robotics. This role involves developing simulation tools for scientists and companies leveraging machine learning in robotics. You will bridge the gap between Isaac product engineering and NVIDIA Robotics research, transforming research concepts into product features and providing user feedback to the research loop. The team works at the intersection of simulation and machine learning, aiming to create the leading tool for evaluating robot foundation models in simulation, building on NVIDIA's expertise in photorealistic rendering and physics simulation.

$184k - $357k

Sieve is a multi-modal lab focused on curating high-quality training datasets across video, audio, images, text, and 3D, aiming to solve the bottleneck in the growth of AI applications. As a perception-focused Machine Learning Engineer, you will build systems that transform raw sensor footage into training data crucial for robotics and world-model teams. This role requires a strong background in computer vision, particularly in shipping perception systems for robots, devices, or autonomous vehicles, and applying these skills to massive datasets.

The Robotic Visual Perception and Learning research group at NVIDIA is seeking highly motivated PhD students for research internships. This role focuses on pushing the boundaries of computer vision, robotics, and machine learning with real-world impact. Interns will have the opportunity to publish their work in top-tier conferences and collaborate with experienced mentors, with carefully crafted projects tailored to their expertise.

$0k - $0k

As a Robotics Software Engineer on the Isaac Applications Team, you will integrate software and hardware to enable Physical AI robots to operate in the real world. You will build working robotic systems and end-to-end workflows for engineers and AI agents, connecting data, simulation, and real-world deployment to continuously expand and improve robot capabilities. We are looking for strong software engineering skills, broad robotics knowledge, and enthusiasm for working hands-on with physical robots when taking ideas into practice. You enjoy understanding how components interact, solving problems across their boundaries, and seeing them come together to deliver new robot capabilities.

$184k - $357k

Anthropic

As an Applied AI Engineer on the Startups team, you will serve as a trusted technical advisor to leading AI-native startups in the physical world, spanning robotics, semiconductors, aerospace, manufacturing, and civil infrastructure. You will guide these companies from early product stages to scale, helping them integrate Claude into their product design, testing, and operations. This role involves leading deep technical engagements, partnering directly with startup software and hardware engineering teams to build their products on Claude and leverage it for their own engineering processes. You will bridge the gap between Claude's capabilities and the practicalities of building real-world physical systems, working alongside top teams on impactful problems and enabling mechanical, electrical, and process engineers to achieve significant advancements.

$280k - $320k

NVIDIA is seeking outstanding Research Interns to join the Data-Driven AI for Robotics (DAIR) group, focusing on learning embodied skills from large-scale human data. The objective is to develop AI systems that can capture, understand, and reproduce complex human motion and interaction skills across physical and digital embodiments, including humanoid robots and animated characters. This research spans the full stack, from reconstructing human motion and interactions from video to generating controllable character behaviors, transferring motion across embodiments, and training grounded controllers for robots and virtual characters. Interns will collaborate with a supportive research team producing influential work and have opportunities to connect with product teams across NVIDIA.

$0k - $0k

NVIDIA is developing advanced foundation models and generative AI systems for Physical AI applications, including robotics, autonomous driving, smart spaces, and embodied agents. The NVIDIA Cosmos Platform facilitates multimodal world understanding, simulation, synthetic data generation, and embodied reasoning. We are seeking talented PhD interns to contribute to the advancement of Physical AI and world models.

$0k - $0k

NVIDIA's Autonomous Systems and Physical AI Research (ASPIRE) group is seeking outstanding Research Interns to contribute to cutting-edge work in autonomous vehicles, robotics, and physical AI. This role involves tackling fundamental research challenges to enable intelligent machines to perceive, reason, and safely interact with the physical world and people. The group focuses on foundational research areas including foundation model design, embodied reasoning, safety, closed-loop training and evaluation, and agentic workflows for Physical AI. Interns will be encouraged to publish their work and open-source their code, collaborating with experts across NVIDIA to influence real-world products while conducting groundbreaking research.

$0k - $0k

Join the Autonomous Vehicle (AV) Applied Research team to advance safe autonomy using generative world models and synthetic data. This internship offers the chance to collaborate with researchers and engineers on next-generation models for understanding, simulating, and reasoning about complex driving environments. We seek a motivated intern with a strong machine learning background and interest in generative world models, multimodal foundation models, and synthetic data generation. The team works closely with NVIDIA Research and the AV organization to develop scalable methods for training, evaluating, and improving autonomous systems, focusing on generative video and world models, controllable scenario generation, multimodal learning, end-to-end driving, 3D computer vision, and data-centric learning. The goal is to use generative models to create diverse, safety-critical driving experiences that enhance the robustness and generalization of autonomous systems.

$0k - $0k

NVIDIA's Seattle Robotics Lab is seeking PhD-candidate interns to contribute to cutting-edge research in robotics and AI. This role offers a unique opportunity to work at the intersection of academic research and industry impact, focusing on the full robotics stack from perception to foundation models. Interns will play a pivotal role in developing algorithms, integrating methods into real-world systems, and contributing to high-impact publications and code releases. The lab has a strong track record of influential research and has significantly impacted NVIDIA's robotics and simulation products.

$0k - $0k

NVIDIA is developing world foundation models and generative AI systems for Physical AI applications, including robotics, autonomous driving, smart spaces, and embodied agents. The NVIDIA Cosmos Platform facilitates multimodal world understanding, simulation, synthetic data generation, and embodied reasoning. We are seeking talented PhD interns to contribute to advancements in Physical AI and world models. This role involves conducting research, developing algorithms, training and evaluating large-scale models, collaborating with cross-functional teams, and publishing research findings.

$0k - $0k

NVIDIA is seeking strategic, ambitious, hard-working, and creative individuals for their 2027 Autonomous Vehicles and Robotics internships. This 12-week full-time program offers an excellent opportunity to expand your career and gain hands-on experience with industry-leading teams. Interns will work on projects with a measurable business impact, contributing to NVIDIA's pioneering work in AI and digital twins that is transforming major industries.

$0k - $0k

NVIDIA's Autonomous Systems and Physical AI Research (ASPIRE) group is seeking top Research Scientists to advance the field of intelligent machines for autonomous vehicles, robotics, and physical AI. This role focuses on fundamental research challenges, including developing new training paradigms, ensuring safety and reliability in critical applications, enabling navigation in novel environments, and building systems that reason and interact safely with humans and other agents. Researchers are encouraged to publish their work and contribute to open-source projects, collaborating with internal product teams and external researchers to influence real-world products while pursuing groundbreaking research.

$168k - $265k

HUD is building reliable, fair, and open infrastructure for AI data, aiming to make data valuable for creators and trustworthy for AI labs. As a Research Engineer on the Robotics team, you will develop datasets and evaluations crucial for training and assessing embodied AI systems. This role involves translating research needs into data specifications, creating methods for data validation, and conducting experiments to understand how data characteristics impact model performance. You will collaborate with internal research and engineering teams, and potentially with data vendors and buyers, to enhance robotics data offerings.

$100k - $230k

We are seeking a Developer Relations Manager to be the primary liaison between our developers, customers, and the Jetson SW stack. This role involves guiding users through the platform, including BSP, security, OTA, real-time workloads, mixed-criticality systems, AI libraries, and agentic AI. You will work directly with developers and customers to help them build and deploy optimized edge AI and robotics solutions on Jetson. Simultaneously, you will gather their challenges and insights to inform our engineering and product teams, directly shaping the platform's roadmap.

$184k - $357k

Innodata is seeking a Research Scientist to lead the science of data for robotics foundation models. This role involves partnering directly with customers and frontier labs to define how data is designed, structured, and evaluated for next-generation AI systems in robotics. You will leverage scientific judgment to make high-leverage decisions about data capture, synthesis, representation, and evaluation, ensuring that the data collected and generated directly supports the development of robust and transferable AI models for manipulation, locomotion, vision-language-action, and world models.

$160k - $185k

Applied Intuition is seeking a Systems Engineer to join their team and play a critical role in defining system requirements, designing architectures, and integrating the company's technology onto autonomous vehicles and defense systems. This role blends systems engineering, robotics, software deployment, architecture, integration, and real-world testing. You will work in both office and field environments, dedicating significant time to deploying, testing, and validating software on autonomous systems in dynamic, operationally relevant settings. Collaboration with software engineers, autonomy engineers, perception teams, data scientists, and field operators will be key to ensuring systems are robust, reliable, and ready for deployment.

$140k - $180k

Applied Intuition is building a robot learning platform to enable any robot to learn industrial tasks and continuously improve. The robotics team develops this platform and uses it to deliver robot autonomy on customer lines, training, evaluating, and deploying policies on real robots performing industrial tasks. This role involves hands-on work with hardware, seeing your contributions reach customers, and working on manipulation policies from task definition to reliable execution on a physical robot. You will train and fine-tune policies, diagnose failures, and ensure their dependability for customer use, with success measured on the robot itself.

$150k - $300k