Top 1616 High performance computing Jobs in San Jose, Ca

High-Performance LLM Training Engineer - New College Grad 2026
NVIDIA —Santa Clara, CA
- $124,000 - $195,500 a year
- Full-time
- Computer science
- Computer Science
- Analysis skills
10d
Electrical Engineer Signal Integrity and Power Integrity Technical Lead (7400)
Advantest —San Jose, CA
- $129,650 - $200,400 a year
- Full-time
- Background check
- Bachelor of Science
- System design
- Health insurance
- Dental insurance
Quick Apply
Sales Director - US Market
VIA Technologies, Inc. —Fremont, CA
- Full-time
- Background check
- English
- Master's degree
- Health savings account
- Health insurance
Quick Apply
Program Manager
VM Services, Inc. (member of the Venture Group of Companies) —Milpitas, CA
- $75,000 - $115,000 a year
- Full-time
- Mid-level
- Assembly
- Experience equivalent to degree accepted
- Health insurance
- Dental insurance
Quick Apply
Marketing Operations Specialist
Exxact Corporation —Fremont, CA
- $75,000 - $125,000 a year
- Full-time
- Marketing
- Office
- Bachelor's degree
- Health insurance
- Dental insurance
Quick Apply
GCP/ETL Data Engineer - only local
Maxonic, Inc. —Santa Clara, CA
- $150,000 - $220,000 a year
- Full-time
- Hybrid work
- Office
- 3 years
- In-person
Quick Apply
1d
Automation Engineer
PEAK Technical Services Inc. —San Jose, CA
- $80,000 - $105,000 a year
- Full-time
- Microsoft Excel
- Mid-level
- Analysis skills
- Health insurance
- Dental insurance
Quick Apply
10d
GPU Engineer
Ultimate Staffing Services —San Jose, CA
- Up to $87,000 a year
- Full-time
- Computer Science
- Mid-level
- Fair chance
Quick Apply
Cryptography Research Scientist, FHE
LG Electronics —San Jose, CA
- $169,000 - $186,000 a year
- Full-time
- Hybrid work
- Computer Science
- Analysis skills
- Math
- Paid parental leave
- Paid holidays
Quick Apply
Sr. Chief Engineer
Cushman & Wakefield —San Jose, CA
- $140,250 - $165,000 a year
- Full-time
- 7 years
- Microsoft Outlook
- Schematics
- Health savings account
- Disability insurance
Quick Apply
Patent Attorney / Agent / Electrical Software Telecom / Hybrid Bay Area 94025 3899
IP Recruiter Group —Menlo Park, CA
- Email
- Background check
- Computer science
- Computer Science
Quick Apply
GPU Engineer
Ultimate Staffing Services —San Jose, CA
- Up to $87,360 a year
- Computer science
- Computer Science
- Windows
Quick Apply
Senior High-Performance LLM Training Engineer
NVIDIA —Santa Clara, CA
- $184,000 - $356,500 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- Analysis skills
AI Inference Performance Engineer - New College Grad 2026
NVIDIA —Santa Clara, CA
- $124,000 - $241,500 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
Principal High-Performance LLM Training Engineer
NVIDIA —Santa Clara, CA
- $272,000 - $431,250 a year
- Full-time
- Computer science
- Computer Science
- Data analysis skills
System Performance Modeling Engineer
Advanced Micro Devices, Inc —Santa Clara, CA
- Hybrid work
- Software troubleshooting
- Analysis skills
- Senior level
AI Infrastructure Engineer
Advanced Micro Devices, Inc —San Jose, CA
- Hybrid work
- 5 years
- APIs
- Senior level
12d
Mechanical Engineer
Advanced Micro Devices, Inc —San Jose, CA
- Mid-level
- Master's degree
- Analysis skills
1d
Chemistry Lab Technician
NVIDIA —Santa Clara, CA
- $60,000 - $120,750 a year
- Full-time
- Bachelor of Science
- Mid-level
- Analysis skills
High Performance Computing Engineer
Schlumberger —Sunnyvale, CA
- Computer Science
- Continuous improvement
- Doctor of Philosophy
- Health insurance
- Dental insurance

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high performance computing jobs near san jose, ca

High-Performance LLM Training Engineer - New College Grad 2026

NVIDIA -
Santa Clara, CA

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Job Details

Full-time
$124,000 - $195,500 a year
10 days ago

Qualifications

AI models
GPU programming
Performance tuning
Computer science
Software engineering
Device driver development
GPU architecture
Computer Science
Automation
PyTorch
Tooling
High-performance computing clusters
System performance optimization
System architecture
AI platforms (beyond public GPTs)
Computational framework
Performance testing
Analysis skills
Computer hardware
Master of Science
Computer Engineering
Master's degree in electrical engineering
Model training
Simulation tools
Master's degree in computer science
Neural networks
Systems analysis
Benchmarking
Machine learning libraries
Master's degree in computer engineering

Full Job Description

We are now looking for a High-Performance LLM Training Engineer!

NVIDIA is seeking experienced engineers specializing in performance analysis and optimization to improve the efficiency of LLM training workloads, which are shaping the world's most advanced computing systems. This position focuses on optimizing NVIDIA’s high-performance LLM software stack in frameworks like PyTorch and JAX for high-performance training on thousands of GPUs, while also helping shape hardware roadmaps for the next generation of GPUs powering the AI revolution.

What you will be doing:

Understand, analyze, profile, and optimize AI training workloads on innovative hardware and software platforms.
Understand the big picture of training performance on GPUs, prioritizing and then solving problems across all state-of-the-art neural networks.
Implement production-quality software in multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks.
Build and support NVIDIA submissions to the MLPerf Training benchmark suite.
Implement key DL training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies.
Build tools to automate workload analysis, workload optimization, and other critical workflows.

What we want to see:

MS in Computer Science, Electrical Engineering or Computer Engineering (or equivalent experience).
Strong background in deep learning and neural networks, in particular training.
A deep background in computer architecture and familiarity with the fundamentals of GPU architecture.
Proven experience analyzing and tuning application performance & processor and system-level performance modeling.
Programming skills in C++, Python, and CUDA.

GPU computing is the most productive and pervasive platform for deep learning and AI. It begins with the most advanced GPUs and the systems and software we build on top of them. We integrate and optimize every deep learning framework. We work with the major systems companies and every major cloud service provider to make GPUs available in data centers and in the cloud. We craft computers and software to bring AI to edge devices, such as self-driving cars and autonomous robots. AI has the potential to spur a wave of social progress unmatched since the industrial revolution.

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 19, 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.

Apply Now

Refine Your Search

high performance computing jobs in san jose, ca

High-Performance LLM Training Engineer - New College Grad 2026

Electrical Engineer Signal Integrity and Power Integrity Technical Lead (7400)

Sales Director - US Market

Program Manager

Marketing Operations Specialist

GCP/ETL Data Engineer - only local

Automation Engineer

GPU Engineer

Cryptography Research Scientist, FHE

Sr. Chief Engineer

Patent Attorney / Agent / Electrical Software Telecom / Hybrid Bay Area 94025 3899

GPU Engineer

Senior High-Performance LLM Training Engineer

AI Inference Performance Engineer - New College Grad 2026

Principal High-Performance LLM Training Engineer

System Performance Modeling Engineer

AI Infrastructure Engineer

Mechanical Engineer

Chemistry Lab Technician

High Performance Computing Engineer

I want to receive the latest job alert for high performance computing in san jose, ca

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