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Software Engineer, 4D Engine

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Avala
Full Time position
Listed on 2026-10-17
Job specializations:
  • Software Development
    Software Architect, Software Engineer, AI Engineer (Applied/Software), Computer Software / Middleware
Salary/Wage Range or Industry Benchmark: 180000 - 250000 USD Yearly USD 180000.00 250000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer, 4D Engine

Posted 6 months ago San Francisco, CA full-time

About This Role

Architect and build the core systems behind Avala's 4D Engine — the reconstruction pipeline that fuses LiDAR, camera, radar, and IMU data into physics-grade spatiotemporal ground truth. You'll own the Gaussian Splatting renderer, temporal tracking systems, and the compute infrastructure that processes petabytes of multi-sensor data.

What You'll Do:
  • Lead development of the 4D reconstruction pipeline (Gaussian Splatting, NeRF, multi-view stereo)
  • Design GPU-accelerated compute shaders for real-time point cloud processing and scene rendering
  • Build temporal tracking and object persistence systems across sensor frames
  • Architect distributed processing pipelines that scale to fleet-level data volumes
  • Set technical direction for the rendering team and mentor senior engineers
  • Collaborate with ML engineers on auto-labeling and scene understanding models
Requirements:
  • 7+ years in graphics, 3D vision, or high-performance computing
  • Deep expertise in GPU programming (WebGPU, CUDA, Vulkan, or Metal)
  • Strong C++, Rust, or Dart performance optimization experience
  • Published work or production systems in 3D reconstruction or novel view synthesis
  • Experience leading technical teams of 3+ engineers

Computer Vision 3D Graphics GPU Optimization WebGPU Gaussian Splatting

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

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