Develop and integrate robotics algorithms and machine-learning systems for perception, state estimation, localization, mapping, sensor fusion, planning, control, and learned behaviors. Build and deploy autonomy software across mobile robots, robotic arms, quadrupeds, and humanoids. Integrate camera, LiDAR, and IMU data, optimize software for embedded and edge platforms, support real-robot testing and demos, and debug system-level autonomy issues.
About Lyte
Lyte builds perception systems for Physical AI operating in complex environments. The company combines custom silicon, integrated sensors, and software into a unified platform for robotics, mobility, and next-generation automation. Lyte is headquartered in Sunnyvale, California, with a global presence. For more information, visit www.lyte.ai
If you’re excited about building impactful technology in a dynamic, hands-on environment, we’d love to hear from you!
About the role
- We are looking for a Robotics Engineer with a strong focus on algorithms, ML, and software to build intelligent robotic systems on top of diverse robot platforms. This role centers on developing and integrating perception, state estimation, planning, and learning-based behaviors while deploying them across AMRs, robotic arms, quadrupeds, and humanoids.
You will work closely with perception, ML, and software teams to integrate multi-sensor data into robust autonomy stacks and deploy them on real robotic platforms used for internal development, demos, and customer-facing systems. This is a hands-on software and algorithms role with high system-level impact.
What you'll do
- Develop and integrate robotics algorithms and ML-based systems for perception, state estimation, planning, and control
- Integrate multi-sensor perception outputs (camera, LiDAR, IMU) into autonomy and decision-making stacks
- Build and maintain robot software stacks for diverse platforms (AMR, arm, quadruped, humanoid)
- Implement and tune algorithms for localization, mapping, and sensor fusion; motion planning and trajectory optimization; learning-based behaviors and policies
- Work closely with perception and vision teams to consume and validate ML-based outputs (detection, depth, tracking)
- Deploy and optimize robotics software on embedded and edge compute platforms
- Support integration of autonomy stacks into real robots for demos, testing, and customer use
- Debug system-level autonomy issues spanning sensors, algorithms, and software interactions
Required Qualifications
- Bachelor's degree or higher in Robotics, Computer Science, or a related field
- 6+ years of experience in robotics algorithms, autonomy, or robotics software engineering
- Strong foundation in core robotics algorithms, including state estimation and sensor fusion; motion planning and control; localization and mapping
- Strong software engineering skills in C++ and/or Python
- Experience deploying robotics algorithms on real robotic platforms
- Ability to work effectively with cross-functional teams in fast-paced environments
Preferred Qualifications
- Experience with ROS / ROS 2 and modern robotics middleware
- Background in learning-based robotics, reinforcement learning, or imitation learning
- Experience integrating ML models into real-time robotic systems
- Familiarity with simulation tools and workflows (Gazebo, Isaac Sim, Mujoco, etc.)
- Experience working across multiple robot morphologies (mobile, manipulation, legged)
- Comfort working in a startup environment with ambiguity and rapid iteration
Benefits (subject to location and local regulations)
- Competitive salary and equity
- Comprehensive medical, dental, and vision coverage
- 401(k) retirement plan
- Flexible vacation and time-off policy
- Collaborative, fast-paced, and inclusive work environment
- Opportunity to work on cutting-edge technologies with a highly cross-functional team
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