Home › Companies › Zoox › Machine Learning Engineer - 3D Sensor Simulation
Machine Learning Engineer - 3D Sensor Simulation
Zoox · Foster City, CA · Hybrid · Active · $176,000–$257,000 / year · Lever
Job facts
| Field | Value |
|---|---|
| Company | Zoox |
| Title | Machine Learning Engineer - 3D Sensor Simulation |
| Normalized title | - |
| Department / team | Software / Software Systems |
| Location | Foster City, CA, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | $176,000–$257,000 / year |
| Status | active |
| ATS provider | Lever |
| Posted / first seen | 2025-02-26 / 2026-05-29 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Zoox. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Lever. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Foster City. | Open |
| Department jobs | Active postings in Software. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Zoox |
| Source | 45f1a12e-419b-4b96-93be-f479c9356a1b |
| ATS provider | Lever |
Description
The 3D Simulation group at Zoox is looking for 3D Machine Learning engineers to simulate sensors (cameras, lidar, radar), combining GenAI/ML and modern 3D graphics techniques to close the gap between simulation and reality. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. Collaborate with Sensor Sim, Perception, and V&V teams to evaluate and iteratively improve the fidelity of sensor simulation. The 3D Sensor Simulation team’s work is at the core of creating high-fidelity synthetic data for training and testing AV AI, as well as real-time sensor data for hardware-in-the-loop simulation.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
In this role, you will:
Research, implement, and optimize state of the art 3D rendering of sensor data, leveraging GenAI/ML and 3D graphics.
Develop realism metrics with V&V to show measurable impact of your improved sensor fidelity.
Collaborate with Perception and Safety teams to improve realism of sensor simulation for high fidelity synthetic data.
Improve rendering and ML inference tooling for generating realistic data at scale.
Qualifications
2+ years of industry experience, and/or PhD, developing neural rendering techniques like Gaussian Splatting, NeRFs, or 3D reconstruction
2+ years of experience developing software with Python and/or modern C++
Expertise with machine learning frameworks PyTorch or Tensorflow
Familiarity with 3D graphics algorithms, such as 3D geometry and camera models
Strong mathematical skills and understanding of 3D linear algebra and probabilistic techniques
Bonus Qualifications
Master's or PhD in computer science, mathematics, physics, or related field
Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender.
Experience in 3D rendering for simulation, games, cloud computing, or VFX
Full job record
| Job ID | 13f8e468e19a2b0ca92e6f310b01e6ffe6ad1179 |
| Org ID | 518be277-8ec5-4735-b0ad-193a2bc397c7 |
| Source ID | 45f1a12e-419b-4b96-93be-f479c9356a1b |
| Board ID | 45f1a12e-419b-4b96-93be-f479c9356a1b |
| Provider | lever |
| Provider Job Key | 55e51bf3-68ee-40d4-a1c5-5196e0e2d100 |
| Title | Machine Learning Engineer - 3D Sensor Simulation |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Foster City, CA |
| Department | Software |
| Team | Software Systems |
| Employment Type | Full-time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | CA |
| City | Foster City |
| Salary Raw | USD 176000-257000 per-year-salary |
| Salary Min | 176,000 |
| Salary Max | 257,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://jobs.lever.co/zoox/55e51bf3-68ee-40d4-a1c5-5196e0e2d100 |
| Apply URL | https://jobs.lever.co/zoox/55e51bf3-68ee-40d4-a1c5-5196e0e2d100/apply |
| First Seen At | 2026-05-29 06:58:06Z |
| Last Seen At | 2026-06-06 20:04:34Z |
| Last Checked At | 2026-06-06 20:04:34Z |
| Last Changed At | 2026-06-06 07:55:46Z |
| Inactive At | — |
| Source Posted At | 2025-02-26 23:16:33Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=lever/board=zoox/date=2026-06-06/2026-06-06T20-04-33-960Z-dbc899b7b70bd68deef4fecc07510b625903b1c9c1b990b1843279904e7d9bc6.json |
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