Senior Software Engineer - Autonomous Vehicle Data Science (Equity)

NVIDIA; North Carolina; On-site; USD 152,000 - 287,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a data science/software engineering professional to define metrics and build data-driven evaluation tools for autonomous vehicle software. You will integrate on-road analysis, large-scale simulation, models, metrics and dashboards to enable rapid debugging and assessment.

You will collaborate with machine learning, infrastructure, and roboticists to craft novel solutions and influence testing strategies with the Planning & Control team.

Qualifications

• MS/PhD or equivalent in data science, electrical, mechanical, aerospace engineering, physics, computer science or similar fields.
• 5+ 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.
• Ability and enthusiasm to ramp up quickly on new technical domains.
• Ability to multitask and prioritize in a fast paced environment.
• Excellent organizational and interpersonal skills.

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

Pandas

Numpy

Scipy

Matplotlib

C++

Git

Linux

Education

MS or PhD or equivalent

Tools

Bazel

Job description

NVIDIA is seeking a data science/software engineering professional to define metrics and build data-driven evaluation tools for autonomous vehicle software. You will integrate on-road analysis, large-scale simulation, models, metrics and dashboards to enable rapid debugging and assessment.

You will collaborate with machine learning, infrastructure, and roboticists to craft novel solutions and influence testing strategies with the Planning & Control team.