Robotics Engineer (Algorithms & Software)

Lyte; Sunnyvale (CA); On-site; USD 150,000 - 300,000; Full time

Benefits offered by this job

Competitive salary and equity

Comprehensive medical, dental, and vision coverage

401(k) retirement plan

Flexible vacation and time-off policy

Collaborative and inclusive work environment

Job summary

Lyte in Sunnyvale, California, is seeking a Robotics Engineer to develop algorithms for intelligent robotic systems. The role involves integrating perception and control algorithms across various robot platforms.

The ideal candidate will have extensive experience in robotics, specifically in algorithms and machine learning, and will contribute to the deployment of robust autonomy stacks. The position offers a competitive salary between $150,000 and $300,000 per year, along with comprehensive benefits.

Qualifications

• 6+ years of experience in robotics algorithms or software engineering.
• Strong foundation in state estimation and sensor fusion.
• Experience deploying robotics algorithms on real robotic platforms.

Responsibilities

• Develop and integrate robotics algorithms for perception and control.
• Integrate multi-sensor perception outputs into decision-making stacks.
• Build and maintain robot software stacks for various platforms.
• Deploy and optimize robotics software on embedded platforms.

Skills

Robotics algorithms

Machine Learning

C++ and/or Python

Sensor fusion

Motion planning

Education

Bachelor’s degree in Robotics, Computer Science, or related field

Tools

ROS / ROS 2

Simulation tools (Gazebo, Isaac Sim, Mujoco)

Job description

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.

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, 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

• 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.

Pay Range

150,000 - 300,000 USD per year (Bay Area, CA).