Top Robotics Jobs

Develops human-data capture and integration pipelines for robotics foundation models and reinforcement learning. Responsibilities include reconstructing 3D objects and environments, creating simulation-to-real training environments, designing multimodal policy architectures, evaluating robot foundation models, and transferring human manipulation skills to dexterous hands and humanoid robots.

Operate and monitor robotic AI model tests in a laboratory, reset test scenes, record trial outcomes, transfer models and logs, and maintain accurate documentation. Set up robots, inspect equipment, perform basic calibration, respond to safety issues using emergency stops, and collect training data through manual teleoperation. The role requires careful adherence to procedures, clear communication, reliable independent work, and full-time on-site availability in San Francisco.

Source passive candidates, manage inbound applications, conduct structured first-round screens, track recruiting metrics, coordinate interviews, and maintain a warm candidate bench. The part-time remote contractor will partner with hiring managers across operations, customer happiness, curriculum, marketing, and camp delivery to fill priority openings efficiently and respectfully.

Serve as a solution expert across Sales, Customer Experience, Implementation, Product, and Partner teams. Scope complex customer requirements, design scalable solutions, assess risks and dependencies, validate feasibility, document solution plans, and support implementations. Provide guidance on workflows, integrations, data strategies, and architecture decisions while acting as an escalation resource. Collaborate with Product and Engineering on product gaps, coach teams on best practices, and improve discovery and solution-design processes.

Build and validate autonomy software for outdoor construction robots. Responsibilities include developing ROS 2 software, working on perception, mapping, localization, manipulation, simulation, and testing, creating automated regression tests with Isaac Sim, conducting field tests, analyzing failures, and building evaluation tools. The intern will collaborate with autonomy, mechanical, electrical, and firmware teams during robot integration and field testing.

Provides technical support throughout the sales cycle for robotic solutions, consulting with customers, designing proof-of-concepts, building simulation models, and delivering demos, hackathons, workshops, and training. Develops customer-facing software and open-source contributions using C++, ROS, and robotics platforms. Feeds customer insights to product and R&D teams while supporting solution adoption and regularly traveling to customer sites and industry events.

Develop and deploy robotics software across navigation, perception, teleoperation, motion behaviors, and warehouse-management integrations. Build features in C++ and Python using ROS2, debug autonomous navigation, containerize deployments with Docker, and commission robots on customer warehouse sites. The role involves hands-on work with real hardware, sensors, embedded compute, and fleet systems, with mentorship from senior roboticists and ownership of features from prototype through production deployment.

Own the AI compute software stack for robotic edge devices. Design systems across CPU, GPU, NPU, and FPGA architectures; deploy and optimize neural networks, LLMs, vision models, and deterministic robotics algorithms under real-time constraints. Establish testing and code-quality standards, coordinate cross-functional delivery, plan initiatives, de-risk technical challenges, and maximize hardware performance using optimized C++ and Python. The role requires embedded deployment, hardware execution expertise, accelerator experience, and robotics algorithm knowledge.

Manage and grow a portfolio of 10–20 major North American industrial accounts. Responsibilities include account mapping, revenue strategy, business development, opportunity management from demonstration to purchase, customer reviews, coordinated account planning, risk identification, and cross-functional customer success efforts. The role requires building relationships across complex organizations, providing product feedback, working on industrial sites, and traveling nationally and internationally up to 50%.

Co-lead AI research focused on multimodal video-action foundation models for dexterous robotics. Responsibilities include model architecture and large-scale training, end-to-end data pipeline development, real-world robot evaluation, deployment, and mentoring AI researchers and engineers. The role requires deep generative modeling expertise, distributed PyTorch development, multi-GPU pretraining experience, and collaboration with hardware and robotics teams.