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Staff Engineer, Neural Rendering

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: roamlabs
Full Time position
Listed on 2026-06-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 300000 USD Yearly USD 300000.00 YEAR
Job Description & How to Apply Below
# Staff Engineer, Neural Rendering Ship the production neural rendering and reconstruction pipeline that powers Roam's centimeter-accurate spatial index.

Team:
Perception & NeRF

Location:

San Francisco, CAType:
full time

Base salary range:
$300k – $500k base Apply by Email Back to all roles## About the role

You'll own the neural-rendering pipeline end-to-end: from raw multi-sensor ingestion through semantic geometry to the queryable spatial index that customers' robots, AR apps, and dashboards read from. The bar is production-grade — under 30 ms p95 query latency, under 5 cm median localization error, dual-region failover. Small team, deep ownership, no committees.## Responsibilities
* Own the reconstruction pipeline from raw point clouds and images to semantic 3D geometry.
* Drive p95 query latency under 30 ms and median localization error under 5 cm.
* Ship the multi-session alignment and change-detection systems.
* Partner with the SFM team to bring foundation-model capabilities into production.
* Set engineering practices for the perception org.## Qualifications
* Staff-level experience shipping high-throughput vision systems in production.
* Deep knowledge of multi-view geometry, SLAM, and neural rendering (NeRF / 3

DGS).
* Strong systems engineering: latency budgets, GPU efficiency, multi-region.
* Have shipped something an external customer pays for.## Nice to have
* Experience with point-cloud processing (PCL, Open3D, COLMAP).
* Experience with robotics localization stacks.## Apply Send a short note and your most relevant work to hello. Salary range is $300k – $500k base for this role; recruiters calibrate within the band based on level and prior compensation.
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