Senior, ML Engineer - Neural Rendering

Torc Robotics is a leader in autonomous driving technology focused on developing software for automated trucks. The Senior ML Engineer will work on Neural Rendering and data generation to enhance the simulation of sensor data for autonomous vehicles.

Responsibilities:

• Implement the latest research advances in Neural Rendering and generative models
• Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations
• Support implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 training
• Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks
• Own development projects in the team – From research, design, to implementation, testing and deployment
• Design, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processes
• Work in the cloud machine learning ecosystem alongside other machine learning services existing in the company
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation
• Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution, coaching and mentoring as needed

Requirements:

• Proficiency in Python and deep learning frameworks such as PyTorch
• PhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical Engineering) with industry experience in shipping production software
• Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching)
• Background in Computer Graphics, 3D Reconstruction, or 3D Computer Vision
• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment
• Experience with VDI and cloud based machine learning development environments
• Expected to drive alignment across team interfaces to the rest of the organization
• Designs, maintains and owns team technical solutions and drives consensus
• Mentors and guides engineers within the group
• Experience with autonomous driving or robotics perception in production environments
• Proficiency with CUDA programming for efficient rendering of large-scale scenes
• Publications in top-tier CV/AI/Graphics conferences (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, SIGGRAPH) or journals
• Experience with MLOps and infrastructure tools (Ray)
• Familiarity with 3D labeling, calibration, and sensor simulation pipelines
• Handling of Autonomous Driving Sensors – Multiple timestamp, multiple sensor data from cameras, lidars, and radars