NVIDIA · nvidia.wd5.myworkdayjobs.com · checked today
Senior Synthetic Data Engineer - Autonomous Driving
Autonomous vehicles are redefining the way we live, work, and play—creating safer and more efficient roads. These ground-breaking benefits require substantial computational horsepower and large-scale production software expertise. Tapping into decades-long experience in high-performance computing, imaging, and AI, NVIDIA has built a software-defined, end-to-end platform for the transportation industry that enables continuous improvement and deployment through over-the-air updates.
Skills, with evidence
- Python
Strong Python and C++ skills, with experience building, debugging, profiling, and maintaining production-quality systems on Linux.
must have - Kubernetes
Experience with scalable engineering workflows including Git, Docker, Kubernetes, CI/CD, distributed storage, and deployment in data centers or cloud environments.
must have · not practised here - Cost & performance
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.
Your plan
- Python: the data-wrangling round≈ 3 h
Python
- Diff two snapshots of a tableIntermediate
- Explode an array column into rowsIntermediate
- Flatten nested event payloadsIntermediate
- Pivot a long metrics table to wideIntermediate
- Choose what an incremental run should readIntermediate
- Spark: read the plan Spark actually ran≈ 2 h
Cost & performance
- applyInPandas per country: what Spark ships to Python, and the native rewriteAdvanced
- Filters you wrote in the wrong place: where Catalyst moves themAdvanced
- snappy, gzip or zstd: measure the Parquet codec trade-off yourselfAdvanced
- Find the four suspects in a slow pipeline (one of them is innocent)Advanced
- A filter after a window function: pushed down or not?Advanced
- Say it out loud≈ 1 h
10 drills · Intermediate + Advanced≈ 5 hours
Not covered by the plan: Kubernetes.
Readiness
Counted from drills you have completed anywhere on D8LooP.
leaves in 11 dremoved the moment NVIDIA closes it