Senior Autonomous Vehicle Metrics Engineer

NVIDIA Corporation; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking an experienced Planning and Control engineer to develop metrics and evaluation products for autonomous vehicle software. You will build data-driven evaluation workflows using road analytics, large-scale simulation, and dashboards to accelerate iteration.

Ideal candidates hold an MS or PhD (or equivalent), 8+ years in software/data roles, and are proficient with Python (Pandas/Numpy/Scipy/Matplotlib) and Linux tooling.

Qualifications

• MS, or PhD or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science or similar fields.
• 8+ years experience working in software engineering, data science, and/or experiment design roles.
• Highly proficient in Python and associated libraries (Pandas, Numpy, Scipy, Matplotlib)
• Familiarity programming with GIT in Linux (Ubuntu) or another Unix based system.

Responsibilities

• Define and develop metrics that enable rapid debugging, testing, and evaluation of our Autonomous Vehicle software.
• Build compelling, data driven evaluation products by combining on-road driving analysis, large scale simulation, models, metrics and dashboards.
• Collaborate with machine learning engineers, infrastructure engineers and roboticists to develop novel solutions to open-ended problems
• Work with the Planning & Control team to develop and drive software testing strategies

Skills

Python

Data science

Experiment design

Git

Linux

Education

MS/PhD or equivalent in data science/engineering

Tools

Git

Bazel

Pandas

NumPy

SciPy

Matplotlib

Ubuntu/Linux

Job description

NVIDIA Corporation is seeking an experienced Planning and Control engineer to develop metrics and evaluation products for autonomous vehicle software. You will build data-driven evaluation workflows using road analytics, large-scale simulation, and dashboards to accelerate iteration.

Ideal candidates hold an MS or PhD (or equivalent), 8+ years in software/data roles, and are proficient with Python (Pandas/Numpy/Scipy/Matplotlib) and Linux tooling.