Senior Performance Engineer

Nvidia Corporation in; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Job summary

Join a forward-thinking company as a Senior Performance Engineer, where you'll drive innovations in AI and GPU computing. With over 8 years of experience, you'll lead performance practices in large-scale datacenter applications, working closely with cutting-edge technology and a diverse team. This role offers the chance to impact the future of computing while collaborating with top researchers and developers. If you're passionate about AI and performance engineering, this is your opportunity to make a meaningful difference.

Benefits

Equity

Comprehensive Benefits

Diverse Work Environment

Qualifications

• 8+ years of experience in accelerated computing for datacenter solutions.
• Strong programming skills in C/C++, Python, and Bash.

Responsibilities

• Lead performance practices in large scale infrastructure.
• Deliver engineering solutions for AI workload performance.

Skills

Accelerated Computing

CUDA

PyTorch

C/C++

Python

Bash

Cloud Computing

Linux OS

Container Technology

Communication Skills

Education

BS in Engineering

MS or PhD in related field

Job description

Senior Performance Engineer (Finance)

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.

The base salary range is 184,000 USD - 356,500 USD. 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 . NVIDIA accepts applications on an ongoing basis.

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.