Senior Robotics & Embodied AI Engineer (AI)

Location: San Francisco, California, United States; full-time onsite work five days a week

Salary: $123,980–$201,450 annually

Company

Building intelligent technologies that connect machines, data, and people to make jobsites safer, more productive, and more sustainable.

What you will do

• Design, develop, validate, and deploy AI and autonomy capabilities for robotic systems.
• Integrate perception, reasoning, planning, learning, and controls into production robotic systems.
• Apply machine learning, foundation models, computer vision, and related technologies to real-world autonomy challenges.
• Design experiments, simulation scenarios, benchmarks, regression tests, and on-machine performance evaluations.
• Optimize complex systems across software, models, sensors, compute, and machine behavior for edge deployment.
• Collaborate with software, hardware, infrastructure, research, validation, safety, and product teams; lead technical reviews and mentor engineers.

Requirements

• Bachelor’s degree in Computer Science, Robotics, AI, Machine Learning, Electrical Engineering, or a related field.
• 5+ years of industry experience developing complex software, robotics, AI, or autonomous systems.
• Strong software engineering fundamentals in Python, C++, or similar languages.
• Experience delivering a complex production capability or subsystem from design through deployment.
• Ability to solve ambiguous technical problems, make engineering tradeoffs, and influence technical direction across teams.
• Must work onsite in the San Francisco office five days per week.

Nice to have

• Experience with ROS or ROS2, motion planning, SLAM/localization, manipulation, controls, behavior planning, or multi-machine coordination.
• Experience applying LLMs, vision-language-action models, multimodal learning, or generative AI to robotics.
• Background in deep learning, reinforcement learning, imitation learning, self-supervised learning, or representation learning.
• Experience with computer vision, sensor fusion, object detection and tracking, and 3D scene understanding.
• Experience with distributed or embedded systems, simulation, hardware-in-the-loop testing, observability, or performance optimization.

Culture & Benefits

• Domestic relocation assistance is available.
• Medical, dental, vision, disability, and life insurance benefits.
• Paid time off, holidays, volunteer time, parental leave, and adoption benefits.
• 401(k), HSA, FSA, incentive bonus, employee discounts, and health lifestyle programs.
• Career development and tuition reimbursement opportunities.
• Visa sponsorship is not available for this position.