ZipRecruiter

Log In

1

Gpu Tech Jobs (NOW HIRING)

Samsung Electronics Perú

Samsung, a world leader in advanced semiconductor technology, is founded on a simple philosophy ... As a Senior/Staff GPU Design Verification Engineer - Subsystems, you will contribute to the ...

previous page

Showing results 41-60

All JobsGpu Tech Jobs

Gpu Tech information

See salary details

$12

$20

$31

How much do gpu tech jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for gpu tech in the United States is $20.85, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $23.32 per hour, depending on experience, location, and employer.

What are popular job titles related to Gpu Tech jobs?

For Gpu Tech jobs, the most frequently searched job titles are:

Solutions Architect, Inference Deployments

Santa Clara, CA

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$74 - $97.50/hr

Full-time

Re-posted 29 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

We're forming a team of innovators to roll out and enhance AI inference solutions at scale, demonstrating NVIDIA's GPU technology and Kubernetes. As a Solutions Architect focused on inference, you'll collaborate closely with our engineering, DevOps, and customers to develop enterprise AI solutions. Together, we'll deliver generative AI to production!

What you'll be doing:

  • Build inference pipelines with tools like NVIDIA Dynamo, distributing tasks among GPU workers to improve efficiency.

  • Collaborate with DevOps teams to orchestrate disaggregated inference using Kubernetes for complex workloads.

  • Accelerate inference pipelines using TensorRT-LLM, vLLM, SGLang, and other backends to ensure seamless integration with disaggregated inference.

  • Provide mentorship and technical leadership to customers and internal teams, guiding them through the deployment of disaggregated inference systems and resolving complex issues.

What we need to see:

  • 5+ Years in Solutions Architecture with a proven track record of deploying distributed systems and AI inference workloads on Kubernetes.

  • Experience with one of NVIDIA Dynamo, Triton Inference Server, or TensorRT-LLM for model optimization and serving.

  • GPU orchestration using NVIDIA GPU Operator, NIM Operator, and Multi-Instance GPU (MIG) partitioning.

  • Solving sophisticated GPU allocation, memory hierarchies (HBM, DRAM, SSD), and low-latency networking (RDMA, UCX).

  • Demonstrated success in tuning large language models for low-latency inference in enterprise environments.

  • BS in CS/Engineering or equivalent experience.

Ways to stand out from the crowd:

  • Prior experience deploying NVIDIA inference technologies such as Dynamo, NIM, NIXL and Grove.

  • Deep understanding of transformer neural network, and inference acceleration technologies like quantization, speculative decoding, WideEP etc.

  • NVIDIA Certified AI Engineer or similar credentials.

  • Contributions to open-source projects including NVIDIA Dynamo, vLLM, KServe, or SGLang.

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 April 19, 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.

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

View All Nvidia Jobs

Apply