Founding Engineer, Computer Vision & Robotics
United States · 2 days ago
You will build and deploy computer vision perception systems for real-time quality inspection and future robotic automation in factories, including model training and edge inference optimization on NVIDIA Jetson.
- Workplace
- On-site
- Seniority
- Staff
- Salary
- 120K USD/yr - 200K USD/yr
- Experience
- 3+ years
- Team
- Engineering
- Visa sponsorship
- Available
Skills
About the role
About the Role Join an early-stage industrial automation startup as its first engineer, building a perception system that understands manual work in factories. You will take computer vision from experimentation through production deployment, starting with real-time quality inspection and helping shape the technical foundations for future robotic automation. What You'll Do • Build perception systems for detection, classification, tracking, temporal understanding, and 3D vision. • Develop first-person vision that handles camera motion, changing viewpoints, occlusion, motion blur, and variable lighting. • Work with the technical leadership team to improve models, datasets, and evaluation based on failures in real deployments. • Build geometric vision capabilities for calibration, localization, pose estimation, and coordinate transformations. • Train and debug PyTorch models using synthetic and real-world data. • Optimize low-latency inference and deploy systems on NVIDIA Jetson using TensorRT. • Work directly on factory floors and turn deployment learnings into reusable perception infrastructure. What We're Looking For • At least 3 years of experience building and deploying computer vision, robotics perception, or applied machine learning systems outside notebooks or lab environments. • Experience shipping real-time perception systems in computer vision, robotics, industrial robotics, AR/VR, ADAS, or physical AI. • Strong Python, PyTorch, and OpenCV skills, including experience developing detection, classification, or tracking models. • Experience with geometric vision and ownership of an underspecified physical-world problem from development through deployment. • Experience with edge deployment or production inference optimization, and working with users or in field deployments. • Experience with synthetic data and Sim2Real, SLAM or VIO, depth estimation, 3D reconstruction, CUDA, TensorRT, ROS2, robot manipulation, or robot learning is beneficial. Compensation & Benefits Base salary: $120,000 to $200,000 USD annually. Visa sponsorship is available. The role includes an opportunity to help shape the engineering team and technical direction. Location On-site in the United States.
Posted Nov 6, 2026
