About this offer
- Employer
- Clera
- Source
- getclera.com · careers site
- Posted
- 3 Nov 2026 · 5 days ago
- Work
- On site
- Place
- United States
- Sponsorship
- Stated in the job posting
Visa and relocation details are read automatically from the job posting. Always confirm them with the employer.
Visa sponsorship
Clera sponsors the work visa for this role.
- Work visa sponsored
- Confirm the details with the employer
Visa sponsorship is available.
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.