Engineering Lead, Robotics

2 months ago

Sunnyvale, CA, USAStaff+

H1B Sponsor

Base Salary

$250k - $400k/yr

Responsibilities

Define and own the technical architecture for humanoid robotics software across perception, planning, control, and learned behaviors.
Write production-quality Python and C++ code and deploy it to physical robots.
Design, train, evaluate, and deploy learning-based policies for manipulation and locomotion.
Build demonstrations across multiple robot hardware platforms to validate capabilities and inform the product roadmap.
Establish simulation infrastructure and validate robot behaviors in physics-based environments before hardware deployment.
Instrument robots, analyze telemetry and failure data, and improve robustness in real-world conditions.
Develop teleoperation and data-collection pipelines to generate training data and reduce the sim-to-real gap.
Recruit additional engineers for the robotics team.

Bachelor’s, master’s, or doctoral degree in Robotics, Computer Science, Electrical Engineering, or a related field, or equivalent hands-on experience.
At least seven years of robotics software development experience, including meaningful work on physical humanoid, legged, or highly dexterous manipulation platforms.
Demonstrated experience shipping behavior cloning, reinforcement learning, or VLA policies to real robots in production or near-production settings.
Strong Python and C++ proficiency for robotics and machine-learning systems, with experience using PyTorch or equivalent deep-learning frameworks.
Deep knowledge of kinematics, dynamics, control theory, state estimation, and perception.
Experience developing and evaluating visuomotor or multimodal policies from data collection through deployment.
Ability to work independently, make architectural decisions with limited information, and build systems from scratch.
Comfort debugging physical robots, running hardware-in-the-loop tests, and iterating on live systems.
Preferred experience with bi-dexterous mobile hardware, dexterous manipulation, whole-body control, hardware bring-up, sensor integration, embedded systems, SLAM, 3D perception, sensor fusion, physics simulators, ROS/ROS2, and robot-learning publications or open-source contributions.

Comprehensive health, dental, vision, life, and disability insurance.
401(k) retirement benefits with employer match.
Learning and wellness stipends.
Paid time off.
Primarily in-office work five days per week, with occasional remote-work flexibility.