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Urgent! Senior Math Libraries Engineer Emulation in AI and HPC Job Opening In Santa Clara – Now Hiring NVIDIA
We are looking for software engineers to join our math libraries teams for AI and HPC kernel generation, specifically targeting emulation of math operations across different precisions.
Around the world, leading commercial and academic organizations are revolutionizing AI, scientific and engineering simulations, and data analytics, using data centers powered by GPUs. Applications of these technologies are in healthcare, NLP, VR, deep learning, autonomous vehicles and countless others.
Did you know our team develops the GPU accelerated math libraries that makes all of this possible?
If the idea of tinkering with bits and precision formats in math operations and applying your knowledge to develop and optimize algorithms to make an impact around world excite you, come and join our team!
What you will be doing:
Scoping, designing, and implementing high quality and performance numerical dense linear algebra software on GPUs.
Providing technical leadership and feedback to library engineers working with you on projects and sometimes mentor interns.
Working closely with product management and other internal and external customers to understand feature and performance requirements and help define the technical roadmaps of libraries.
Finding opportunities to improve library performance and reduce code maintenance overhead through re-architecting.
What we need to see:
PhD or Masters degree in Computer Science, Applied Math, or related science or engineering field of study (or equivalent experience).
5+ years of experience in designing, developing, testing, maintenance, and performance optimization of production software using CUDA and C++.
Good knowledge of GPU (preferred) or CPU hardware architecture.
Strong fundamentals in finite precision arithmetics and numerical methods for linear algebra.
Great teamwork, communication, and documentation habits.
Ways to stand out from the crowd:
Experience with CUTLASS, or low level programming like assembly for performance optimization is a huge plus.
A scripting language, preferably Python.
Experience with working in a globally-distributed team.
NVIDIAs invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing.
More recently, GPU deep learning ignited modern AI the next era of computing with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
Today, we are increasingly known as the AI computing company.
We're looking to grow our company, and build our teams with the smartest people in the world.
Join us at the forefront of technological advancement.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology worlds most desirable employers.
We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding 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.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits.
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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 Emulation in AI and HPC to join their team. Feel free to download the job details.
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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 Emulation in AI and HPC 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 Emulation in AI and HPC typically include Computer Occupations 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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Before the Interview:To prepare for your Senior Math Libraries Engineer Emulation in AI and HPC interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the NVIDIA's products or services and be prepared to discuss how you can contribute to their success.
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