Urgent! Senior Performance Engineer Job Opening In Santa Clara – Now Hiring NVIDIA
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.
It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing.
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.
Doing what’s never been done before takes vision, innovation, and the world’s best talent.
As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
Come join the team and see how you can make a lasting impact on the world.
We are looking for an outstanding engineer for a Senior Performance Engineer role for at scale AI system performance and datacenter applications.
Be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing! Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs.
You will work with the latest Accelerated Computing and Deep Learning software and hardware platforms, and with many researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions.
You will interact with HPC, OS, CPU and GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.
What you'll be doing:
+ Lead all aspects of implementing performance practices in large scale infrastructure, deliver powerful tools, methodologies, and flows to validate and improve several datacenter products in parallel.
+ Specific responsibilities include aligning the next generation AI workloads on top of next generation datacenter designs.
This involves early engagement with HW/FW/SW/platform internal and customer teams, and other groups.
+ Deliver engineering solutions to deliver continuous insights into performance of AI workloads over evolving environments, generating quick insights to improvements and regressions over time.
+ Decompose high-complexity performance or stability issues into minimal reproduction cases, working towards final root cause of underlying problems.
+ Participating in engagements with various SW and FW (BMC/SBIOS/OS/drivers etc) teams to develop best-in-class practices and tools, you will be analyzing, debugging and resolving critical firmware and software issues for the best AI workload performance at scale.
What we need to see:
+ 8+ years of experience in using accelerated computing for datacenter container computing solutions.
+ Proven understanding of accelerated computing software stacks and DL Frameworks (CUDA, PyTorch).
+ Experience using and handling modern Cloud and container-based Enterprise computing architectures.
+ C/C++/Python/Bash programming/scripting experience.
+ Experience with CPU architecture.
+ Experience with container technology and Linux based OSes.
+ Understanding of collective communication and the patterns in AI workloads.
+ Experience working with engineering or academic research community supporting high performance computing or deep learning.
+ Strong verbal and written communication skills as well as strong teamwork and communication skills.
+ Action driven with strong analytical and analytical skills.
+ BS in Engineering, Mathematics, Physics, or Computer Science, MS or PhD desirable (or equivalent experience).
Ways to Stand Out From the Crowd:
+ At-scale DL training experience.
+ DL and graph compiling programming skills.
+ Exposure to virtualization techniques, cloud platform solutions.
+ Exposure to scheduling and resource management systems.
+ Experience with large scale HPC environments.
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 (https://www.nvidia.com/en-us/benefits/) .
Applications for this job will be accepted at least until July 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 Performance Potential: Insight & Career Growth Guide
Real-time Senior Performance 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 Performance 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 188705 jobs in United States and 2271 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Senior Performance 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 Performance Engineer 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 Performance Engineer 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 Performance Engineer 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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Before the Interview:To prepare for your Senior Performance Engineer 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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