Be an early applicantLess than 25 applicants

Company

NVIDIA · 3 days ago

Senior CUDA Driver, Legate, and Build Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

$180K/yr - $339K/yr

8+ years exp

Maximize your interview chances

Artificial Intelligence (AI)GPU

Growth Opportunities

H1B Sponsor Likely

Insider Connection @NVIDIA

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Decomposing and modularizing build processes for reusablity across multiple projects

Debugging cmake, pip, and conda issues encountered in CI and local builds

Working on scripting and infrastructure to manage dependencies across various environments and build systems

Bringing up builds and CI across platforms (x64/arm64) and OS’es (Linux/Windows/Mac) and other unreleased hardware and software

Working with engineering leadership to identify the support matrix and manage the scope of the build matrix

Creating and updating documentation and coordinating with stakeholders to scope and tackle cross-functional projects

Automating scheduled work for all of the above

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonC/C++CMakePipCondaGitGitHubGitLabCI/CDLinuxWindowsMacDebuggingContainerizationRelease ManagementTesting Principles

Required

Bachelor’s Degree in Systems/Software/Computer Engineering, CS or equivalent experience

8+ years of relevant industry experience or equivalent academic experience after BS

Experience working across multiple highly-coupled projects (in Git or another VCS)

Experience working with C/C++ or Python projects

Familiarity with cmake, pip, conda or other tools for C/C++ or Python build and packaging

Familiarity with CI/CD systems including Github and Gitlab

Understanding of testing principles

Knowledge of release management practices

Strong analytical, debugging, and problem-solving skills

Familiarity with containerization technologies (e.g. Docker)

Preferred

Experience working with or compiling for HPC/multi-node environment

Experience working with closed-source SW, confidential HW, or large code-bases (100k+ LoC)

Familiarity with binary library compilation, linking, and distribution

Exposure to development across multiple OS’es

You have implemented, shipped, and EoL’d a conda package

Benefits

Equity and benefits

Company

NVIDIA

Glassdoor

4.6

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

Founded in 1993

Santa Clara, California, USA

10001+ employees

https://www.nvidia.com

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (735)

2022 (892)

2021 (696)

2020 (534)