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Urgent! Senior Math Libraries Engineer, CPU and GPU Optimization Job Opening In Santa Clara – Now Hiring NVIDIA
NVIDIA is looking for an expert software engineer to help us deliver CUDA-X libraries across the NVIDIA CPU and GPU ecosystem.
For over a decade, NVIDIA's accelerated computing platform has revolutionized HPC and AI with applications ranging from COVID-19 research to autonomous machines.
Did you know that our team develops the GPU/CPU-accelerated mathematical libraries that make all of this possible?
The hardware and software accelerated computing ecosystem is constantly evolving, including shifts towards hybrid backends, deep integration with high-level languages and ecosystems (such as Python, Numpy, JAX, MLIR…), and optimization at runtime for maximum flexibility and performance.
Our libraries follow CUDA Everywhere approach to let developers use highly-optimized mathematical operations on all hardware available in NVIDIA ecosystem.
You will be part of a team designing, developing, and optimizing math libraries for the future.
If you are passionate about designing modern HPC libraries and want to build software that will stand the test-of-time as it accelerates countless applications, we might have the dream job you have been waiting for!
What you'll be doing:
+ Design modern, flexible, and easy to use APIs and kernels for math libraries and lead design reviews with all collaborators.
+ Work closely with internal (e.g., Engineering, Product Management) and external partners such as researchers to understand their use cases and requirements.
+ Work with internal and external customers to deliver timely math libraries releases.
+ Become a domain expert by continuously surveying current trends in software systems.
What we need to see:
+ PhD or MSc degree in Computer Science, Applied Math, or a related science or engineering field is preferred (or equivalent experience).
+ 12+ years of experience designing and developing software for high-performance computing and/or AI applications.
+ Advanced C++ skills, including modern design paradigms (e.g., template meta-programming, RAII).
+ Parallel programming experience with CUDA, OpenCL or vector programming on CPU (AVX, NEON or similar).
+ Strong collaboration, communication, and documentation habits.
+ Experience with ARM, RISC-V and/or x86_64 CPU architectures.
Ways to stand out from the crowd:
+ Strong background in numerical methods (e.g., FFT, numerical linear algebra).
+ Programming skills with Python, and modern automation setups for both building software (e.g. cmake) as well as testing it (e.g. CI/CD, sanitizers).
+ Experience with cross-compilation, setting up CPU/GPU/accelerator (cross-)compilation toolchains and bringing existing codes to new architectures.
+ Background with CCCL, OpenMP, OpenACC, multi-threading, MPI, PGAS.
+ Experience with scientific and deep learning libraries and frameworks such as PyTorch, JAX, MKL, MAGMA, PETSc, Kokkos, etc.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers.
We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing.
If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
Applications for this job will be accepted at least until September 29, 2025.
NVIDIA is committed to fostering a diverse 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.
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Unlock Your Senior Math Potential: Insight & Career Growth Guide
Real-time Senior Math Jobs Trends in Santa Clara, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Math in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 182232 jobs in United States and 2134 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Senior Math roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a Senior Math Libraries Engineer, CPU and GPU Optimization to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior Math Libraries Engineer, CPU and GPU Optimization Jobs Santa Clara.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Math Libraries Engineer, CPU and GPU Optimization Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Math Libraries Engineer, CPU and GPU Optimization typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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