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 building and deploying computer vision, robotics perception, or applied machine learning systems beyond notebooks or lab environments.
• Strong Python, PyTorch, and OpenCV skills, with experience shipping real-time systems in changing physical-world conditions.
• Experience building detection, classification, or tracking models and geometric vision systems.
• Experience owning an open-ended physical-world problem end to end and working directly with users or in field deployments.
• Experience deploying on edge devices or optimizing inference for production latency.
• 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: $150,000 to $200,000 annually. Visa sponsorship is available.
• Location
• On-site in the United States.

Responsibilities

• Build detection, classification, tracking, temporal understanding, and 3D vision capabilities for real-world perception.
• Address first-person vision challenges such as camera motion, changing viewpoints, occlusion, motion blur, and variable lighting.
• Work with the technical lead to use deployment failures to improve models, data, and evaluation.
• Develop geometric vision systems for calibration, localization, pose estimation, and coordinate transformations.
• Train and debug PyTorch models using synthetic and real-world data.
• Optimize and deploy low-latency inference on NVIDIA Jetson and TensorRT.
• Deploy systems on factory floors and turn field learnings into reusable perception infrastructure.
• At least 3 years of experience building and deploying computer vision, robotics perception, or applied machine learning systems beyond notebooks or lab environments.
• Strong Python, PyTorch, and OpenCV skills, with experience shipping real-time systems in changing physical-world conditions.
• Experience building detection, classification, or tracking models and geometric vision systems.
• Experience owning an open-ended physical-world problem end to end and working directly with users or in field deployments.
• Experience deploying on edge devices or optimizing inference for production latency.
• Experience with synthetic data and Sim2Real, SLAM or VIO, depth estimation, 3D reconstruction, CUDA, TensorRT, ROS2, robot manipulation, or robot learning is beneficial.
• Base salary: $150,000 to $200,000 annually. Visa sponsorship is available.
• On-site in the United States.