Senior Synthetic Data Engineer - Autonomous Driving

NVIDIA
Santa Clara, Texas, New York, Washington, California
Workplace: HybridFull timeUSD 184,000 - 356,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Collaboration","Debugging","Profiling","Problem-solving","Performance optimization"]

Design and develop a synthetic-data and sensor-simulation environment for autonomous driving at NVIDIA DRIVE. Build and optimize tools that generate training datasets for deep learning networks, including simulated lidar, radar, camera/RGB-D, annotations, world models, and scenario variation. Create lidar/radar simulation workflows using NuRec and Cosmos, assess dataset quality and sim-to-real transfer, and run large-scale pipelines while debugging cross-stack systems across sensors, reconstruction, world models, and distributed GPU workloads.

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NVIDIA
NVIDIA
13 hours ago

Senior Synthetic Data Engineer - Autonomous Driving

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Design and develop a synthetic-data and sensor-simulation environment for autonomous driving at NVIDIA DRIVE. Build and optimize tools that generate training datasets for deep learning networks, including simulated lidar, radar, camera/RGB-D, annotations, world models, and scenario variation. Create lidar/radar simulation workflows using NuRec and Cosmos, assess dataset quality and sim-to-real transfer, and run large-scale pipelines while debugging cross-stack systems across sensors, reconstruction, world models, and distributed GPU workloads.
Location: Santa Clara, Texas, New York, Washington, California
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Build, implement, and optimize synthetic data generation tools for training deep learning DRIVE networks, including simulated sensors, annotations, world models, depth/semantics, and sensor metadata.
  • •Develop lidar and radar sensor simulation workflows over NuRec reconstructed worlds and Cosmos-generated environments, covering sensor placement, calibration, material response, geometry handling, noise modeling, and scenario variation.
  • •Develop Cosmos world model capabilities for controllable scenario generation, novel view synthesis, trajectory extrapolation, scene completion, quality triage, regression detection, and controllability evaluation.
  • •Collect perception/planning/DRIVE network requirements and align them to synthetic data and sensor simulation features, building new tools and improving performance where gaps exist.
  • •Set up and oversee large-scale NuRec/Cosmos/sensor simulation pipelines, then assess dataset quality and sim-to-real transfer; debug cross-stack systems across sensors, reconstruction models, world models, runtime, and downstream autonomous-driving workloads.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually
Equity and Bonus:Equity

Key Requirements

  • •BS or MS in Computer Science, Electrical Engineering, Computer Engineering, Applied Math, Physics, or related field (or equivalent experience).
  • •8+ years in computer graphics, computer vision, autonomous driving, sensor simulation, neural rendering, or physically-based sensor modeling/synthetic data generation or closely related software engineering.
  • •Strong Python and C++ skills building, debugging, profiling, and maintaining production-quality systems on Linux.
  • •Solid foundation in linear algebra, geometry, and probability.
  • •Experience with synthetic data annotations, dataset curation/augmentation, evaluation workflows, and deep learning/ML tooling to define measurable quality criteria.
Experience:8+ yearsComputer graphicsComputer visionAutonomous drivingSensor simulationNeural renderingPhysically-based sensor modelingSynthetic data generationDeep learningML toolingProduction software engineering
Education:Bachelor's
Skills:CollaborationDebuggingProfilingProblem-solvingPerformance optimization
Tech Stack:PythonC++LinuxGitDockerKubernetesCI/CDDistributed storageCloudData centerGPU workloadsNuRecCosmosOpenDRIVEHD mapsRay tracingRay castingNeRFs3D Gaussian SplattingOccupancy networks

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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