Senior Synthetic Data Engineer – Autonomous Driving

🕒 September 21

🏄 California, New York, +2 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Build, implement, and optimize tools to generate synthetic data for training deep learning DRIVE networks • Develop lidar and radar sensor simulation workflows using NuRec reconstructed driving worlds and Cosmos-generated environments • Develop Cosmos world models for 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 synthetic data and sensor simulation features • Develop dataset quality assessments and synthetic-real comparison procedures • 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 autonomous-driving workloads • Collaborate with technical leaders in autonomous driving, NuRec, Cosmos, and sensor simulation to design and develop simulation environments

🎯 Requirements

• 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, physically-based sensor modeling, synthetic data generation, or closely related software engineering roles • Strong Python and C++ skills • Experience building, debugging, profiling, and maintaining production-quality systems on Linux • Solid mathematical foundation in linear algebra, geometry, and 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 • Practical understanding sufficient to translate network needs into synthetic data requirements and measurable quality criteria • Experience with Git, Docker, Kubernetes, CI/CD, distributed storage, and deployment in data centers or cloud environments

🏖️ Benefits

• Equity • Benefits