Machine Learning Engineer - 3D Sensor Simulation

Jobzhr; Foster City (CA); On-site; USD 176,000 - 257,000; Full time

Job summary

Zoox is hiring a role focused on advancing neural rendering for sensor data and high-fidelity 3D simulations. The position emphasizes GenAI/ML-driven rendering, accuracy via realism metrics, and collaboration with Perception and Safety teams.

Candidates should have 2+ years in industry or PhD in related fields, strong Python/C++ skills, and expertise in PyTorch/TensorFlow, 3D graphics, and linear algebra. Compensation aligns with industry standards for senior roles in California.

Qualifications

• 2+ years of industry experience or PhD in neural rendering techniques (Gaussian Splatting, NeRFs, 3D reconstruction).
• 2+ years of Python and/or modern C++ development.
• Expertise with PyTorch or TensorFlow.
• Familiarity with 3D graphics algorithms, geometry, and camera models.
• Strong math, 3D linear algebra, and probabilistic methods.

Responsibilities

• 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 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.

Skills

Neural rendering

Python

C++

PyTorch

3D graphics

Linear algebra

Probabilistic methods

Education

PhD in CS/Math/Physics

Tools

Houdini

Maya

Blender

Job description

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

$176,000 - $257,000 a year

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.