Senior Software Engineer, Metrics and Evaluation - Autonomous Vehicles

NVIDIA; Washington (District of Columbia); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA, located in Washington, is looking for a software engineer with expertise in autonomous systems and a strong background in data science. You will define metrics for innovative vehicle software while collaborating with cross-disciplinary teams to enhance solutions in autonomous technologies.

Qualified candidates should hold an MS or PhD, have over 5 years of relevant experience, and be proficient in Python and GIT. The position offers a competitive salary range and a dynamic work environment with opportunities for growth.

Qualifications

• 5+ years experience working in software engineering, data science, and/or experiment design roles.
• Ability to multitask and prioritize in a fast-paced environment.
• Excellent organizational and interpersonal skills.

Responsibilities

• Define and develop metrics for Autonomous Vehicle software.
• Build data-driven evaluation products by combining on-road driving analysis and large-scale simulation.
• Collaborate with engineers to develop novel solutions.

Skills

Python

Data science

Experiment design

GIT

Communication skills

Education

MS or PhD in related fields

Tools

Linux (Ubuntu)

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.