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Day High Performance Computing Engineer Jobs in California

RadixArk

Performance Engineer

Palo Alto, CA · On-site

... high-performance computing • Familiarity with profiling tools, performance debugging, tracing ... both engineers and customers Preferred : • Experience with CUDA, Triton, Pallas, ROCm, XLA, or ...

PacBio

Staff Engineer, Infrastructure Platforms

Menlo Park, CA · Hybrid

$126K - $166K/yr

... High Performance Computing (HPC), and modern platform services. The ideal candidate combines deep operational expertise with a platform engineering mindset, balancing day-to-day operational ownership ...

NVIDIA

Senior Fortran Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

NVIDIA's HPC compiler group is seeking a Fortran compiler developer to contribute to the ... high-performance computing, while implementing and improving features in LLVM Flang, OpenACC, and ...

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Senior Deep Learning Performance Architect

Senior Deep Learning Performance Architect

Nvidia Corporation

Santa Clara, CA • On-site

$196K/yr

Full-time

Posted 20 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

5th of 215 rated software companies

Job description

We are now looking for a Senior Deep Learning Performance Architect! NVIDIA is seeking extraordinary architects to develop processor and system architectures that accelerate machine learning, data analytics and high-performance computing applications. This position offers the chance to create a meaningful impact in a dynamic, technology-focused company.
What you will be doing:
  • As a member of our deep learning architecture team, you will craft high performance energy efficient system and processor architectures to extend the state of the art in deep learning.
  • Prototype key deep learning and data analytics algorithms and applications.
  • Analyze trade-offs in performance, cost and power developing analytical models, simulators and test suites.
  • Analyze architecture performance and/or energy efficiency considering deep learning workloads, modeling and prototyping.
  • Collaborate across the company to guide the direction of machine learning, working with software, research and product teams.

What we need to see:
  • Master's or PhD in Computer Science, Electrical Engineering or Computer Engineering, or equivalent experience.
  • 4+ years of relevant work or research experience.
  • A strong foundation in machine learning and deep learning fundamentals to complement your expertise in computer architecture.
  • A strong background in high performance power efficient designs, energy efficient high performance computing, performance analysis and profiling to identify performance bottlenecks.
  • Fluency in programming languages such as Python, C, C++.
  • Experience and familiarity with GPU computing and parallel programming models.
  • You have firsthand work experience with analytical performance modeling, profiling, and analysis.

The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Today, NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as "the AI computing company."
NVIDIA is 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. Are you creative and seeking new challenges? If so, we want to hear from you! Come, join our DL Architecture team and help build the real-time, cost-effective AI computing platform driving our success in this exciting and quickly growing field.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 28, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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