Founding Engineer, Computer Vision & Robotics

Clera; San Francisco (CA); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Visa sponsorship available

Job summary

Clera is building computer vision systems for quality inspection in manufacturing. You will join an early engineering team to advance perception from experimentation to reliable factory deployments, tackling challenges like camera motion, occlusion, and lighting changes.

You will ship real-time perception systems, optimize inference speed, and deploy edge solutions in factory environments, collaborating with users to drive model and data improvements.

Qualifications

• Minimum 3 years building and deploying computer vision or robotics perception systems outside notebooks or labs.
• Experience shipping real-time perception systems in changing real-world conditions.
• Strong Python, PyTorch, and OpenCV skills with experience in detection/classification/tracking models.

Responsibilities

• Build perception systems for detection, classification, tracking, temporal understanding, and 3D vision.
• Address camera motion, occlusion, motion blur, and lighting variations.
• Collaborate with the team to turn field failures into model and data improvements.
• Develop geometric vision capabilities including calibration, localization, pose estimation, and transforms.
• Train and debug PyTorch models on synthetic and real-world data.
• Optimize low-latency inference and deploy edge solutions in factory environments.

Skills

Python

PyTorch

OpenCV

3D vision

Edge deployment

Sim2Real

CUDA/TensorRT

ROS2

Tools

CUDA

TensorRT

ROS2

Job description

About the Role

Join an early engineering team at an industrial automation startup building computer vision systems for quality inspection in manufacturing. You will take perception from experimentation to reliable factory deployments, helping detect process issues early and laying groundwork for future robotic automation.

What You'll Do

• Build perception systems for detection, classification, tracking, temporal understanding, and 3D vision.

• Address first-person vision challenges such as camera motion, changing viewpoints, occlusion, motion blur, and variable lighting.

• Work with the technical team to turn field failures into improvements to models, data, and evaluation.

• Develop geometric vision capabilities including calibration, localization, pose estimation, and coordinate transformations.

• Train and debug PyTorch models on synthetic and real-world data.

• Optimize low-latency inference and deploy systems on edge hardware in factory environments.

What We're Looking For

• At least 3 years building and deploying computer vision, robotics perception, or applied ML systems outside notebooks or lab settings.

• Experience shipping real-time perception systems that perform reliably in changing real-world conditions.

• Strong Python, PyTorch, and OpenCV skills, with experience developing and debugging detection, classification, or tracking models.

• Experience with geometric vision and edge deployment or production inference optimization.

• Technical ownership and judgment to lead an underspecified problem end to end, including working directly with users or in field deployments.

• Experience with synthetic data, Sim2Real, SLAM or VIO, depth or 3D reconstruction, CUDA or TensorRT, ROS2, or robot learning is a plus.

Compensation & Benefits

Annual salary range: $150,000 to $200,000 USD. Visa sponsorship is available.

Location

On-site in San Francisco, California.