Role at a glance
- Salary
- $184K – $356.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 8+ years experience working in software engineering, data science, and/or experiment design roles
- Education
- MS, or PhD or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science or similar...
Spotted an issue?
We’ll check it against the original posting.
Role Summary
The Planning and Control team is seeking an engineer to develop metrics and evaluation products for autonomous vehicle planner and controller algorithms. The role combines on-road driving analysis, large-scale simulation, models, metrics, and dashboards to support software development and testing.
What You'll Do
- Define and develop metrics for debugging, testing, and evaluating autonomous vehicle software.
- Build data-driven evaluation products using on-road driving analysis, large-scale simulation, models, metrics, and dashboards.
- Collaborate with machine learning engineers, infrastructure engineers, and roboticists on open-ended solutions.
- Develop and drive software testing strategies with the Planning & Control team.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
MS, PhD, or equivalent experience in a relevant field; 8+ years of experience in software engineering, data science, and/or experiment design; proficiency in Python and associated libraries; familiarity with Git in Linux or another Unix-based system; ability to ramp up quickly; ability to multitask and prioritize; excellent organizational and interpersonal skills.
Required
- Python
- Pandas
- NumPy
- SciPy
- Matplotlib
- Git
- Linux or another Unix-based system
Preferred
- 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
- Bazel
- Vehicle simulation
- Path planning
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
We are looking for an experienced engineer to join our Planning and Control team to work on metrics and evaluation. In this role you will enable rapid planner and controller algorithm development by providing critical evaluation products. You will develop novel evaluation methodologies and the metrics needed to power them. This is an open-ended and unsolved space which requires creativity and inventiveness.
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
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
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.
You will also be eligible for equity and benefits.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.