Founding Engineer, Computer Vision & Robotics

Wwshemi

United States

On-site

USD 120,000 - 200,000

Full time

6 days ago
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Job summary

Wwshemi is building an early-stage industrial automation team and seeks its first engineer to design and deploy computer vision that understands manual work in factory settings. You will drive perception from experimentation to production, starting with real-time quality inspection.

You will implement detection, classification, tracking, and 3D vision, optimize low-latency inference on NVIDIA Jetson with TensorRT, and turn field failures into improved models and data in collaboration with the

Qualifications

  • 3+ years in computer vision or robotics perception.
  • Strong Python, PyTorch, OpenCV skills for detection/classification/tracking.
  • Experience shipping real-time perception in challenging environments.
  • Background in geometric vision: calibration, localization, pose estimation.
  • Edge deployment experience and low-latency production inference.

Responsibilities

  • Build perception capabilities for detection, classification, tracking, and 3D vision.
  • Develop first-person vision systems handling camera motion, occlusion, and lighting variations.
  • Collaborate with leadership to turn field failures into improved models, data, and evaluation.
  • Create 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 on NVIDIA Jetson with TensorRT.
  • Deploy to factory floors and build reusable perception infrastructure from real-world experience.

Skills

Python
PyTorch
OpenCV
Robotics perception

Tools

CUDA
TensorRT
ROS2
NVIDIA Jetson

Job description

About the Role

Join an early-stage industrial automation team as its first engineer, building computer vision systems that understand manual work in factory settings. You will take perception from experimentation through reliable production deployment, starting with real-time quality inspection.

What You'll Do
  • 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.
What We're Looking For
  • 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.

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