3D Computer Vision Engineer

Avala; San Francisco (CA); Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Equity

Health insurance

Vision care

Dental coverage

FSA

Unlimited PTO

Job summary

Avala in San Francisco is seeking a 3D Vision Engineer to develop 3D reconstruction and scene understanding for autonomous vehicles and robotics. You will build robust perception systems using NeRFs, Gaussian Splatting, SLAM, and scale our 4D labeling platform.

The role emphasizes production-scale processing, collaboration with the annotation team, and real-time SLAM, multi-view geometry, and deep learning with PyTorch/TensorFlow.

Qualifications

• 3+ years in 3D vision, graphics, or spatial computing.
• Strong linear algebra and computational geometry fundamentals.
• Deep learning expertise with PyTorch or TensorFlow.
• Multi-view geometry and rendering pipeline experience.
• Published research or shipped production systems in 3D reconstruction.

Responsibilities

• Develop 3D reconstruction pipelines using NeRFs, Gaussian Splatting, and multi-view stereo.
• Build real-time SLAM systems for autonomous vehicle and robotics perception.
• Create scene understanding models that parse complex driving and industrial environments.
• Implement spatial computing techniques for our 4D annotation platform.
• Optimize 3D pipelines for production-scale processing of fleet sensor data.
• Collaborate with the annotation team to improve 3D auto-labeling accuracy.

Skills

3D vision

Linear algebra

Deep learning (PyTorch/TensorFlow)

Multi-view geometry

SLAM & 4D sensing

Tools

ROS

LiDAR processing

Real-time rendering

Game engines

Job description

Posted 6 months ago San Francisco, CA full-time

About This Role

Develop 3D reconstruction and scene understanding solutions for autonomous vehicles and robotics. Create robust perception systems using NeRFs, Gaussian Splatting, and SLAM technologies. Scale our 4D labeling platform with cutting-edge spatial computing techniques.

What You'll Do:

• Develop 3D reconstruction pipelines using NeRFs, Gaussian Splatting, and multi-view stereo
• Build real-time SLAM systems for autonomous vehicle and robotics perception
• Create scene understanding models that parse complex driving and industrial environments
• Implement spatial computing techniques for our 4D annotation platform
• Optimize 3D pipelines for production-scale processing of fleet sensor data
• Collaborate with the annotation team to improve 3D auto-labeling accuracy

Requirements:

• 3+ years in 3D vision, graphics, or spatial computing
• Strong linear algebra and computational geometry fundamentals
• Deep learning expertise with PyTorch or TensorFlow
• Multi-view geometry and rendering pipeline experience
• Published research or shipped production systems in 3D reconstruction

Nice to Have:

• Experience at an AV company (Waymo, Cruise, Tesla, Aurora)
• Familiarity with ROS, sensor calibration, or LiDAR processing
• Experience with real-time rendering or game engines

Computer Vision 3D Graphics Python PyTorch TensorFlow SLAM NeRF

What We Offer

• Competitive salary and meaningful equity in the team building Fleet Learning Infrastructure for Physical AI
• Full health, dental, and vision coverage, plus FSA and unlimited PTO
• Work on the closed-loop data infrastructure that the next generation of autonomous systems learns from

A team that built Tesla Autopilot's data infrastructure, now building something bigger