Senior Software Engineer, CUDA Rust Core Libraries
Nvidia
Tailor my CV for this job, freeView job and applyYour CV rewritten for this role, from your real experience. Sign in with Google, nothing to install.
Got this interview? Our apps help you get the job.
Skills named in this job
Read from the description itself, not inferred.
This role on the market
51 open libraries roles across 9 companies are on ApplySarthi right now, most of them in Bengaluru (1).
- Manager I, Engineering - Security LibrariesDatadog
- Senior Software Engineer - AI Compute LibrariesGraphcore
- AI Libraries DeveloperIBM
- Graduate Software Engineer, AI Compute Libraries & Performance 2027Graphcore Early Careers
- Scientist, Large LibrariesCradlebio
What libraries roles keep asking for: C++ (69%), Python (67%), Deep learning (31%), Machine learning (25%), Product management (24%), LLMs (18%), PyTorch (18%), CI/CD (16%) — counted across their open postings here.
Software Engineer jobs in the United States · Remote Software Engineer jobs · C++ jobs · PyTorch jobs · Python jobs · Rust jobs
Nvidia has 3,820 open roles listed here.
- Software Developer - Networking
- Manager, Silicon Circuit and Power Integrity - Silicon Co-Design Group
- Senior Physical Design Methodology Engineerbengaluru
- Electro Optics Student
- Manager, Software Verification
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for libraries roles keep coming back to C++, Python, Deep learning, Machine learning. Practise those questions before you sit with Nvidia.
Questions you are likely to be asked
- Why do you want to join Nvidia?
- What is your experience with Rust? Tell me one thing you learned the hard way.
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
- How would you design an API for a feature you have worked on?
- What do you do when a production issue happens on your code?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Senior Software Engineer, CUDA Rust Core Libraries at Nvidia interview free →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.
Match this job to your CV
ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.
Check my match →Similar open roles
- Head of Startups - India and South AsiaNvidia · bengaluru
- Manager, AI/HPC Infrastructure Technical Delivery — IndiaNvidia · pune
- Architect – AI-Powered Performance Verification AutomationNvidia · bengaluru
- Data Center Infrastructure SpecialistNvidia · bengaluru
- Senior Developer Relations ManagerNvidia · bengaluru
- Server Performance Architect - HardwareNvidia · bengaluru
- Senior Solutions Architect, Infiniband and Networking Ethernet - NVISNvidia · bengaluru
- Senior Software Engineer, Fabric Networking - GPUNvidia · bengaluru
Need answers during your interview? Try Live Sarthi.
Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.
- Hidden from supported screen sharingThe overlay stays out of supported Windows screen captures.
- Answers start in about 1.5 secondsResponse time varies with your connection and model.
- From your own CVYour projects and your experience, not a generic script.
- 30 minutes freeThen ₹149 for a 2-day pass with unlimited calls — you pay for the days you are interviewing, not a subscription.
A Windows app, from the same team as ApplySarthi.
Listed on workday · posted 2026-10-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.