NVIDIA Logo

NVIDIA

Senior Software Engineer, CUDA Rust Core Libraries

Reposted One Month Ago
In-Office or Remote
Hiring Remotely in Santa Clara, CA
184K-357K Annually
Senior level
In-Office or Remote
Hiring Remotely in Santa Clara, CA
184K-357K Annually
Senior level
Design and implement idiomatic, safe Rust libraries and APIs for CUDA GPU computing; build Rust abstractions over native C/C++ interfaces; develop and maintain supporting C/C++ components; ensure FFI and Python interoperability; optimize cross-language and GPU performance; own features end-to-end including testing, profiling, benchmarking, documentation, packaging, and maintenance; collaborate with compiler, runtime, and Python teams; investigate and resolve safety, correctness, compatibility, and performance issues.
The summary above was generated by AI

NVIDIA’s accelerated computing platform is foundational to modern HPC and AI. At the center of this platform are CUDA Core Libraries that enable developers to build fast, reliable, and scalable GPU-accelerated software. We are hiring a Senior Software Engineer to develop the Rust experience for CUDA Core Libraries. You will design safe, idiomatic Rust APIs for GPU computing while integrating closely with native C/C++ components. You will join the team building the foundational libraries, algorithms, and language/runtime infrastructure that make CUDA a speed-of-light experience for developers and AI coding agents alike.

What you’ll be doing:

  • Design and implement idiomatic Rust libraries and APIs for foundational CUDA functionality and GPU algorithms.

  • Build safe Rust abstractions over native CUDA and C/C++ interfaces.

  • Develop and maintain the C/C++ components required to support Rust-facing functionality.

  • Establish safe and efficient interoperability between Rust and C/C++, including interfaces that support downstream Python integration.

  • Optimize performance across Rust, native C/C++, and GPU execution boundaries.

  • Own features end-to-end: design, implementation, testing, profiling, benchmarking, documentation, packaging, release, and maintenance.

  • Improve the Rust developer experience through examples, diagnostics, build integration, compatibility testing, CI, and collaboration with C/C++, Python, compiler, and runtime engineers.

  • Work with users to investigate and resolve issues related to safety, correctness, usability, compatibility, and performance.

What we need to see:

  • BS, MS, or PhD in Computer Science, Computer Engineering, or related field, or equivalent experience.

  • 8+ years of relevant software development experience.

  • Strong production programming skills in Rust and C/C++, with deep understanding of Rust ownership, lifetimes, traits, generics, concurrency, and unsafe code.

  • Experience developing systems libraries, runtime components, and developer-facing APIs.

  • Practical knowledge of foreign-function interfaces and integrating Rust with C/C++ software.

  • Solid understanding of systems software concepts, including performance, concurrency, and API design.

  • Experience with parallel, heterogeneous, or GPU programming.

  • Experience contributing to production or open-source software, including testing, profiling, benchmarking, packaging, and code review.

  • Ability to work independently, define scope, and drive complex projects to completion.

  • Strong written communication skills and ability to work effectively in large, multi-language codebases (Rust, C/C++, build systems, toolchains, CI).

Ways to stand out from the crowd:

  • Strong understanding of CPU/GPU architecture and performance optimization, with hands-on experience in GPU-accelerated stacks (CUDA C++/Python, PyTorch, JAX, Numba, CuPy, or similar).

  • Proficiency with modern C++ and GPU libraries such as Thrust, CUB, and libcudacxx.

  • Experience with compiler infrastructure and tooling, including LLVM, Clang, or MLIR.

  • Experience designing safe Rust abstractions over low-level or asynchronous systems, including exposure to Python interoperability.

  • Demonstrated interest in developer tools, library design, and improving developer productivity

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 4, 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.

NVIDIA Austin, Texas, USA Office

Austin, United States

Similar Jobs

13 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
115K-140K Annually
Senior level
115K-140K Annually
Senior level
Artificial Intelligence • Enterprise Web • Information Technology • Productivity • Sales • Software • Database
Own Apollo.io’s partner activation motion across a 40–60-partner portfolio. Source and qualify agencies, consultancies, and solution providers; guide them through certification, onboarding, enablement, and first activation. Build partner offers and referral motions, manage activation plans and pipeline cadence, recommend graduation or nurture paths, and collaborate with Partner Operations and Partner Marketing. The role also involves developing scalable partner-program playbooks and qualification frameworks.
Top Skills: AIApollo.IoAutomationCrossbeamHubspotPartnerstackSalesforce
13 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
140K-175K Annually
Senior level
140K-175K Annually
Senior level
Artificial Intelligence • Enterprise Web • Information Technology • Productivity • Sales • Software • Database
Own a named portfolio of 20–30 high-value partners, developing joint business plans, managing QBRs, tracking partner health and progression, and driving managed ARR, retention, customer outcomes, certification, enablement, and co-marketing. Collaborate with Sales, Customer Success, RevOps, and Partner Marketing while establishing Apollo’s high-touch partner management program.
Top Skills: CrossbeamHubspotPartnerstackSalesforce
26 Minutes Ago
Remote
United States
Senior level
Senior level
Healthtech • Information Technology • Social Impact • Software • App development
Owns product strategy, roadmaps, prioritization, discovery, and delivery for software, data, and AI products supporting behavioral healthcare. Partners with engineering, clinical, community, operations, and executive teams to translate care models into workflows and product features. Leads user research, experimentation, analytics, and field pilots to improve care delivery and outcomes.
Top Skills: AIClaims DataCRMData PlatformsFhirHipaaHitrustHl7Machine Learning

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account