Senior Camera & Vision Engineer

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, fast-paced, and inclusive work environment

Job summary

Lyte in Sunnyvale, California, is seeking a Senior Camera & Vision Engineer to lead the development of camera-based perception for robotics. This hands-on role focuses on camera hardware, ISP tuning, and modern computer vision techniques. Responsibilities include developing and integrating vision algorithms, optimizing pipelines, and collaborating with cross-functional teams. A Bachelor's degree and 7+ years of experience in the field are required, with a salary range of $150,000 to $300,000 annually.

Qualifications

• 7+ years of experience in camera, computer vision, or perception engineering.
• Strong experience with camera sensors, optics, and ISP tuning.
• Hands-on experience developing and deploying ML-based vision models.

Responsibilities

• Own camera-based perception pipelines from sensor selection to production deployment.
• Evaluate and select camera sensors, modules, and optics based on requirements.
• Design and deploy real-time vision systems on embedded and edge compute platforms.

Skills

Camera sensors

Computer vision

Machine learning (ML)

C++

Python

Education

Bachelor's degree in Computer Science or related field

Tools

PyTorch

TensorFlow

OpenCV

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. For more information, visit www.lyte.ai

About The Role

• We are looking for a Senior Camera & Vision Engineer to lead the development of camera‑based perception in our robotics systems. This is a hands‑on role for someone who deeply understands camera hardware, ISP tuning, and modern computer vision and ML techniques—and enjoys turning raw sensor data into reliable, real‑time perception outputs. You will own camera selection and configuration, tune imaging pipelines, develop and integrate vision algorithms, and work closely with perception, ML, and software teams to build a robust, scalable perception stack. This role sits at the intersection of hardware, algorithms, and software, with a strong focus on modern ML‑based vision systems.

What You'll Do

• Own camera‑based perception pipelines from sensor selection to production deployment
• Evaluate and select camera sensors, modules, and optics based on system and application requirements
• Tune and optimize ISP pipelines (image quality, color, HDR, noise, latency, synchronization)
• Develop and integrate computer vision and ML‑based algorithms into the perception stack
• Work with perception and software teams to integrate cameras with other sensors (LiDAR, IMU, radar, etc.)
• Design and deploy real‑time vision systems on embedded and edge compute platforms
• Implement and optimize models for tasks such as object detection, tracking, and segmentation; depth estimation from cameras (mono, stereo, multi‑view); optical flow and motion estimation
• Stay current with state‑of‑the‑art vision models, tools, and frameworks, and apply them pragmatically to products
• Debug perception issues across the full stack—from sensor and ISP to algorithms and ML inference

Required Qualifications

• Bachelor's degree or higher in Computer Science, Electrical Engineering, Robotics, or a related field
• 7+ years of experience in camera, computer vision, or perception engineering
• Strong experience with camera sensors, optics, and ISP tuning
• Deep understanding of computer vision and ML fundamentals
• Hands‑on experience developing and deploying ML‑based vision models
• Strong software engineering skills in C++ and/or Python
• Experience integrating perception algorithms into production systems
• Ability to collaborate effectively with hardware, systems, and software teams

Preferred Qualifications

• Experience in robotics, autonomous systems, AR/VR, or advanced driver assistance systems (ADAS)
• Familiarity with modern vision and ML frameworks (PyTorch, TensorFlow, ONNX, OpenCV, etc.)
• Experience with embedded or edge AI deployment (NVIDIA Jetson, CUDA, TensorRT, etc.)
• Background in depth estimation, stereo vision, SLAM, or visual‑inertial systems
• Experience with optical flow and motion estimation techniquesTrack record of shipping camera‑based perception systems to production

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

The Pay Range For This Role Is

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