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NVIDIA via Workday

Principal Engineer - AV Simulation and Evaluation

United States $272k–431.2k/yr senior
still open verified just now posted 1d ago seen just now
Apply at nvidia.wd5.myworkdayjobs.com

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked just now — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 1d ago

The date the source published, not the day we noticed it (2026-11-02). Last seen at its source just now.

Is it remote?

US, Remote

That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.

Who may apply?

United States

The description states no restriction of its own. This is the source's own tag.

Pay

$272k–431.2k/yr

Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.

Skills named in the ad

Computer VisionControl SystemsDistributed SystemsETLJavaObservabilityPythonSystem Design

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

The listing

We are seeking a Principal Software Engineer to architect and build core platform systems to accelerate Physical AI development, such as Autonomous Driving (AV) & Robotics. This is a technical role for someone with expertise at the intersection of data architecture, distributed systems, and Autonomous Vehicle development across cloud, local, and on-road environments. You will own deep technical areas end-to-end: such as AV/Robotics simulation infrastructure and AV performance evaluation.


What you will be doing:

  • Design and build simulation and evaluation infrastructure used by AV and ML engineers, to accelerate development of Level 4 self-driving capabilities.
  • Evolve efficient data formats for AV evaluation: designing for performance, interoperability, and correctness across formats like Protobuf, Arrow, Parquet, and MCAP.
  • Collaborate with AI and Robotics teams to deeply understand their simulation and evaluation needs.
  • Build reliable services, APIs, data pipelines, and AV simulation and evaluation workflows and framework that operate at the scale of hundreds of millions of runs per day.
  • Optimize performance at every level: profiling, parallelization, memory efficiency, query optimization, and protocol redesign.
  • Build diagnostic and observability tooling that enables teams to understand and debug their data and test pipelines.
  • Actively drive the adoption of new standards and technologies in the physical AI tooling ecosystem.

What We Need to See:

  • BS or MS in Computer Science (or equivalent experience).
  • 15+ years of professional experience in software engineering with focus on distributed systems and data-intensive applications.
  • Proficiency in Go, Python, or Java, and experience operating across the full backend stack.
  • Deep experience building high-performance low-latency data systems: binary serialization, efficient data encoding, columnar data formats.
  • Strong understanding of distributed systems: concurrency, consistency tradeoffs, latency optimization, and compute-efficient design.
  • Ability to identify and fix performance bottlenecks through optimization across the stack, including redesigning protocols and data models.
  • Experience designing and implementing workflows across distributed systems.
  • Past success building foundational systems that multiple teams depend on, with high reliability and scale.
  • Communication skills to be able to translate nuanced system design to both technical and non-technical partners, and talk to users in their language.
  • Ability to lead cross-functional projects, influence without authority, and get work done across organizational boundaries.

Ways to Stand Out from the crowd:

  • Experience building orchestration or workflow execution systems (e.g., Temporal.io, similar workflow engines)
  • Experience working with sensor data pipelines: ROS, MCAP, AV logs, Parquet, Apache Arrow, or similar domain formats
  • Understanding of AV & Robotics concepts such as kinematics, control systems, computer vision, motion planning, and/or neural networks
  • Experience improving legacy systems through incremental migration, deprecation, and architecture cleanup.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 6, 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.

Apply at nvidia.wd5.myworkdayjobs.com