Machine Learning Engineer - 3D Sensor Simulation

Reposted Yesterday
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Foster City, CA
Hybrid
176K-257K Annually
Senior level
Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
Zoox is an autonomous mobility company that’s created a purpose-built robotaxi to give the world a better way to ride.
The Role
The role involves optimizing 3D rendering of sensor data using GenAI/ML, collaborating with teams to enhance sensor simulation realism, and ensuring high fidelity in synthetic data generation.
Summary Generated by Built In
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.

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 

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.

Top Skills

C++
Opengl
Python
PyTorch
TensorFlow
Vulkan
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The Company
HQ: Foster City, CA
2,500 Employees
Year Founded: 2014

What We Do

Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.

Why Work With Us

At Zoox, we are working to solve one of the greatest technological challenges of our generation.
From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.

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