About the role
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
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!