Founding Engineer, Computer Vision & Robotics

About the Role

What You'll Do

What We're Looking For

Compensation & Benefits

Location

• On-site in the United States.

Qualifications

• At least 3 years of experience in computer vision, robotics perception, or applied machine learning, including deploying perception systems beyond notebooks or lab environments.
• Strong Python, PyTorch, and OpenCV skills, with experience building detection, classification, or tracking models.
• Experience shipping real-time perception systems that work reliably in challenging physical environments.
• Background in geometric vision, such as calibration, localization, pose estimation, or coordinate transformations.
• Experience deploying to edge devices or optimizing production inference for low latency.
• Comfort working directly in field settings and using real-world failures to improve models and data.
• Experience with synthetic data and Sim2Real, SLAM or VIO, depth estimation, 3D reconstruction, CUDA or TensorRT, ROS2, robot manipulation, or robot learning is beneficial.
• Compensation & Benefits
• Base salary is $120,000 to $200,000 annually. Visa sponsorship is available.
• Location
• On-site in the United States.

Responsibilities

• Build perception capabilities for detection, classification, tracking, temporal understanding, and 3D vision.
• Develop first-person vision systems that handle camera motion, changing viewpoints, occlusion, motion blur, and varied lighting.
• Work with the technical leadership team to turn field failures into improved models, data, and evaluation.
• Build geometric vision systems 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 with TensorRT.
• Deploy to factory floors and develop reusable perception infrastructure from real-world experience.
• At least 3 years of experience in computer vision, robotics perception, or applied machine learning, including deploying perception systems beyond notebooks or lab environments.
• Strong Python, PyTorch, and OpenCV skills, with experience building detection, classification, or tracking models.
• Experience shipping real-time perception systems that work reliably in challenging physical environments.
• Background in geometric vision, such as calibration, localization, pose estimation, or coordinate transformations.
• Experience deploying to edge devices or optimizing production inference for low latency.
• Comfort working directly in field settings and using real-world failures to improve models and data.
• Experience with synthetic data and Sim2Real, SLAM or VIO, depth estimation, 3D reconstruction, CUDA or TensorRT, ROS2, robot manipulation, or robot learning is beneficial.
• Base salary is $120,000 to $200,000 annually. Visa sponsorship is available.
• On-site in the United States.