Torc Robotics is a leader in autonomous driving, focused on developing software for automated trucks. The Senior ML Engineer will implement cutting-edge research in Neural Rendering and generative models to enhance the simulation of sensor data essential for safe autonomous driving.
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