Senior Software Engineer, Metrics and Evaluation - Autonomous Vehicles

NVIDIA; United States; On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a skilled engineer to define and develop metrics for their Autonomous Vehicle software. The candidate will work collaboratively with machine learning engineers and develop data-driven evaluation products.

Applicants should have over 5 years of relevant experience in software engineering or data science and be highly proficient in Python programming. This position offers a competitive salary and benefits package, and encourages diversity in its hiring practices.

Qualifications

• 5+ years experience in software engineering, data science, or experiment design roles.
• Highly proficient in Python libraries like Pandas, Numpy, and Matplotlib.
• Ability to multitask and prioritize in a fast-paced environment.

Responsibilities

• Define and develop metrics for evaluating autonomous vehicle software.
• Collaborate with diverse teams to create solutions for complex problems.
• Drive software testing strategies in collaboration with other teams.

Skills

Python

Data science

Software engineering

Experiment design

Interpersonal skills

Education

MS or PhD in relevant fields

Tools

Linux (Ubuntu)

GIT

C++

Job description

Want to join a fun, creative company that is on the cutting edge of amazing technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

What You Will Be Doing

• 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.

What We Need To See

• MS, or PhD or equivalent experience 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.

Ways To Stand Out From The Crowd

• Experience developing on‑board planning algorithms.
• Developed metrics for autonomous vehicle robotics systems.
• Experience with evaluating precision and recall of performance metrics.
• Familiarity with C++.
• Experience with working in a large monorepo and with Bazel as well as prior knowledge about vehicle simulation, path planning, vehicle control, Drive‑by‑Wire systems, and self‑driving technologies.

"Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4."

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.