Robotics Engineer, Technical Lead

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

• Define and own the technical architecture for humanoid robotics software, spanning perception, planning, control, and learned behaviors
• Write production-quality code in Python and C++ and ship it to physical robots — this is a hands-on individual contributor role first
• Design, train, evaluate, and deploy learning-based policies for manipulation and locomotion
• Build functional demonstrations on multiple robot hardware platforms that prove out capabilities and inform the product roadmap
• Establish simulation infrastructure and validate behaviors in physics-based environments before deploying to hardware
• Instrument robots, analyze telemetry and failure data, and iterate quickly to improve robustness in real-world conditions
• Work with teleoperation and data collection pipelines to generate training data and close the sim-to-real gap
• Identify and recruit the next engineers on the team

• BS, MS, or PhD in Robotics, Computer Science, Electrical Engineering, or a related field, or equivalent hands-on experience
• 7+ years of experience in robotics software development, with a meaningful portion on physical humanoid, legged, or highly dexterous manipulation platforms
• Proven track record shipping learning-based systems — behavior cloning, RL, or VLA policies — to real robots in production or near-production settings
• Strong proficiency in Python and C++ for robotics and ML systems; experience with PyTorch or equivalent deep learning frameworks
• Deep understanding of robotics fundamentals: kinematics, dynamics, control theory, state estimation, and perception
• Experience building and evaluating visuomotor or multimodal policies end to end, from data collection through deployment
• Ability to operate independently in an early-stage environment, make architectural decisions with limited information, and build from scratch
• Comfort on the lab floor — debugging physical robots, running hardware-in-the-loop tests, and iterating on live systems

• Experience with state-of-the-art bi-dexterous mobile hardware platforms, including dexterous manipulation and whole body control
• Familiarity with hardware bring-up, sensor integration, or embedded systems; ability to engage with mechanical and electrical teams at a subsystem level
• Background in SLAM, 3D perception, or sensor fusion (IMU, lidar, cameras, force/torque)
• Experience with physics simulators such as MuJoCo, NVIDIA Isaac Sim, or Gazebo
• Familiarity with ROS/ROS2 or similar robotics middleware
• Publication record or open-source contributions in robot learning, embodied AI, or manipulation

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $250,000 - $400,000 USD annually.