[Remote] Senior, ML Engineer - Neural Rendering

Note: The job is a remote job and is open to candidates in USA. Torc Robotics is a leader in autonomous driving technology, focused on developing software for automated trucks. They are seeking a Senior ML Engineer specializing in Neural Rendering to implement advanced research in sensor simulations and contribute to the data workflow for training and validation of autonomous vehicles.ResponsibilitiesImplement the latest research advances in Neural Rendering and generative modelsTranslate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulationsSupport implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 trainingIntegrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucksOwn development projects in the team – From research, design, to implementation, testing and deploymentDesign, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processesWork in the cloud machine learning ecosystem alongside other machine learning services existing in the companyProactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operationDemonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution, coaching and mentoring as neededSkillsProficiency in Python and deep learning frameworks such as PyTorchPhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical Engineering) with industry experience in shipping production softwareProven 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 VisionConsidered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgmentExperience with VDI and cloud based machine learning development environmentsExpected to drive alignment across team interfaces to the rest of the organizationDesigns, maintains and owns team technical solutions and drives consensusMentors and guides engineers within the groupExperience with autonomous driving or robotics perception in production environmentsProficiency with CUDA programming for efficient rendering of large-scale scenesPublications in top-tier CV/AI/Graphics conferences (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, SIGGRAPH) or journalsExperience with MLOps and infrastructure tools (Ray)Familiarity with 3D labeling, calibration, and sensor simulation pipelinesHandling of Autonomous Driving Sensors–Multiple timestamp, multiple sensor data from cameras, lidars, and radarsBenefitsA competitive compensation package that includes a bonus component and stock options100% paid medical, dental, and vision premiums for full-time employees401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)AD+D and Life InsuranceSign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefitsCompany OverviewTorc provides L4 end-to-end self-driving software for mobility, trucking, mining, and defense markets through strategic partnerships It was founded in 2005, and is headquartered in Blacksburg, Virginia, USA, with a workforce of 501-1000 employees. Its website is http://torc.ai.Company H1B SponsorshipTorc Robotics has a track record of offering H1B sponsorships, with 8 in 2026, 99 in 2025, 41 in 2024, 33 in 2023, 39 in 2022, 14 in 2021, 7 in 2020. Please note that this does not guarantee sponsorship for this specific role.