Senior HPC Performance Engineer
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 1h ago — 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.
How old is it?
Posted 17h ago
The date the source published, not the day we noticed it (2026-10-14). Last seen at its source just now.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$184k–287.5k/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
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Workday employer's own board first seen 1h ago · last seen just now
- location not stated
The listing
As a member of our team in NVIDIA's NVHPC compilers & tools group, you will analyze and run High Performance Computing (HPC) applications on HPC servers and systems to gain insight into the performance characteristics of these applications. The applications you'll work with range from small synthetic benchmarks that use a single core to full applications that utilize all of the resources on distributed-memory systems with heterogeneous compute nodes including CPUs, GPUs and many-core processors. In this role you will analyze these applications and identify optimization opportunities for compiler development teams and application engineering teams.
What you’ll be doing:
Assist customers GPU accelerate HPC applications.
Analyze High Performance Computing (HPC) applications to better understand their performance characteristics.
Provide advise and drive compiler and applications engineering development teams based on the analysis of these HPC applications.
What we need to see:
BS/MS or equivalent experience in Computer Science or related engineering field.
8+ Years of programming experience.
Solid understanding of Fortran/C/C++, as well as programming techniques, especially for parallel architectures; preferably for compilers
Experience with OpenACC, OpenMP, MPI, and CUDA.
Strong skills in performance analysis and tuning, as well as a broad understanding of parallel applications development tools and runtime environments.
Strong mathematical fundamentals, including linear algebra and numerical methods.
Understand performance considerations, tradeoffs and impact.
Expert interpersonal skills, logical approach to problem solving, good time management and task prioritization skills. Excellent written and verbal communication skills, along with the ability to work in a dynamic product oriented team.
Ways to stand out from the crowd:
You have a deep understanding of machine architectures and micro-architectures.
Experience with debugging and porting as well as assembly language programming is a significant advantage.
Experience is leading and/or managing projects is a plus.
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.