This role involves researching, implementing, and optimizing state-of-the-art 3D rendering of sensor data, leveraging GenAI/ML and 3D graphics. The position requires collaboration with Perception and Safety teams to improve realism of sensor simulation for high-fidelity synthetic data.
Key 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 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.
Required 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.
