Senior Camera & Vision Engineer

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 techniques
• Track record of shipping camera-based perception systems to production

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