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Senior Synthetic Data Engineer - Autonomous Driving

NVIDIA· Engineer, Sys SW
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Santa Clara, CA, Hybrid (Remote)$184k - $287.5kFull-timePosted 4w ago

About the role

Senior role within NVIDIA DRIVE to design and develop a simulation environment for autonomous driving, focusing on synthetic data generation, sensor simulation, and integration with NuRec and Cosmos to advance AV technology.

Responsibilities

  • Build, implement, and optimize tools to generate synthetic data for training different deep learning DRIVE networks, including simulated lidar, radar, camera/RGB-D, bounding boxes, object tracks, world models, segmentation, depth, scene semantics, and sensor metadata.
  • Develop lidar and radar sensor simulation workflows that run against NuRec reconstructed driving worlds and Cosmos-generated environments, including sensor placement, calibration, material response, geometry handling, noise modeling, and scenario variation.
  • Develop Cosmos world model for better world generation, encompassing controllable scenario generation, novel view synthesis, trajectory extrapolation, scene completion, quality triage, regression detection, and controllability evaluation.
  • Collect perception, planning, and deep learning DRIVE network requirements and match them to current synthetic data and sensor simulation features. Develop new tools and improve performance when gaps are found.
  • Develop dataset quality assessments and synthetic-real comparison procedures that evaluate sensor realism, annotation quality, distribution coverage, scenario diversity, and sim-to-real transfer for autonomous driving.
  • Set up, profile, and supervise large-scale NuRec, Cosmos, and sensor simulation pipelines in data center or cloud environments.
  • Debug cross-stack systems spanning sensors, reconstruction models, world models, simulation runtime, GPU workloads, distributed data services, and downstream autonomous-driving workloads.

Qualifications

  • B.S. or M.S. in Computer Science, Electrical Engineering, Computer Engineering, Applied Math, Physics, or a related field (or equivalent experience).
  • 8+ years of experience in computer graphics, computer vision, autonomous driving, sensor simulation, neural rendering, or physically-based sensor modeling, synthetic data generation, or closely related software engineering roles.
  • Strong Python and C++ skills, with experience building, debugging, profiling, and maintaining production-quality systems on Linux.
  • Solid mathematical foundation in linear algebra, geometry, probability.
  • Familiarity with synthetic data annotations, data formats, dataset curation, data augmentation, and evaluation workflows for perception model training and validation.
  • Familiarity with deep learning workflows and modern ML tooling, with enough practical understanding to translate network needs into synthetic data requirements and measurable quality criteria.
  • Experience with scalable engineering workflows including Git, Docker, Kubernetes, CI/CD, distributed storage, and deployment in data centers or cloud environments.

Skills

Required:PythonC++LinuxMachine learning / deep learningSensor simulationData pipelines / MLOps

Benefits

  • Equity
  • Benefits information available at https://www.nvidia.com/en-us/benefits/
Last updated Oct 16, 2026. Interested? Apply on the company site.

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