Deep Learning Kernel Software Performance Architect - New College Grad 2026

NVIDIA Corp

Santa Clara, CA

JOB DETAILS
SKILLS
Analysis Skills, Analysis Software, Artificial Intelligence (AI), Autonomous Driving Systems, C Programming Language, C++ Programming Language, CUDA (Compute Unified Device Architecture), Computer Architecture, Computer Engineering, Computer Science, Data Analysis, Debugging Skills, Debugging Tools, Deep Learning, Electrical Engineering, Energy Efficiency, GPU (Graphics Processing Unit), Hardware Architecture, Kernel Programming, Machine Learning, Microprocessor Architecture, Parallel Computing, Parallel Programming, Performance Analysis, Performance Modeling, Problem Solving Skills, Programming Languages, Python Programming/Scripting Language, Resource Utilization, Root Cause Analysis, Scripting (Scripting Languages), Software Architecture, Software Design, System Architecture, Test Plan/Schedule, Test Suite
LOCATION
Santa Clara, CA
POSTED
30+ days ago

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 a Performance Architect for Deep Learning Software! 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 relevant impact in a dynamic, technology-focused company.

What youll be doing:

• Validate and analyze performance of GPU-accelerated system and software architectures that advance the frontier of deep learning performance. • Debug deep learning and data analytics software to identify root causes of performance bottlenecks. • Develop scripts and tools to analyze, visualize, and debug software using analytical models, simulators, and test suites. • Collaborate across NVIDIA teams: • Work with the CUDA and AI Compiler teams to pinpoint and resolve performance issues. • Engage AI/ML training and inference performance teams to identify and optimize critical deep learning layers. • Collaborate with hardware architecture performance teams to define expectations for emerging deep learning hardware features.

What we need to see:

Masters or PhD in Computer Science, Electrical Engineering or Computer Engineering, or equivalent experience. Proven expertise in software design, including debugging, performance analysis, and test development. Hands-on experience with practical parallel programming, even if it's not on GPUs. Strong understanding of computer architecture, with practical experience on performance debugging. Ability to identify bottlenecks, optimize resource utilization, and enhance system throughput. Fluency in programming languages such as Python, C, C++.

Ways to stand out from the crowd:

• 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. • Experience and familiarity with GPU computing and parallel programming models. • Work experience with analytical performance modeling, profiling, and analysis.

NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 27, 2026. This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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.

About the Company

N

NVIDIA Corp

Visualize your future . . . We Do
NVIDIA is the world leader in graphics processing technologies, creating innovative, industry-changing products for computing, consumer electronics, and mobile devices. NVIDIA products are transforming visually-rich applications such as video games, film production, broadcasting, industrial design, space exploration, and medical imaging. We invest in our people and our technologies, support and fund industry research around the world, and consistently deliver high-quality products. NVIDIA's culture promotes and inspires a team of world-class employees to be at the top of their game. We've created an environment where talents are recognized and collaboration is valued. Our employees are shaping the world of tomorrow. . . today. We invite you to explore the opportunities available at NVIDIA to see what your future may hold.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer Software
FOUNDED
1993
WEBSITE
http://www.nvidia.com