ZipRecruiter

Log In

1

Senior Gpu Engineer Jobs (NOW HIRING)

Nvidia

Senior GPU Architect

Santa Clara, CA

$152.10K - $206.70K/yr

We are now looking for a Senior GPU Architect ... The NVIDIA GPU Architecture group is looking for world class architects and software developers to ...

Nvidia

Senior GPU Architect

Durham, NC

$125.10K - $170.10K/yr

We are now looking for a Senior GPU Architect ... The NVIDIA GPU Architecture group is looking for world class architects and software developers to ...

Nvidia

Senior GPU Architect

Westford, MA

$134.60K - $182.90K/yr

We are now looking for a Senior GPU Architect ... The NVIDIA GPU Architecture group is looking for world class architects and software developers to ...

Nvidia

Senior GPU Architect

Austin, TX

$128.40K - $174.50K/yr

We are now looking for a Senior GPU Architect ... The NVIDIA GPU Architecture group is looking for world class architects and software developers to ...

Nvidia

Senior GPU Raytracing Engineer

Santa Clara, CA

$122.70K - $168.50K/yr

We are seeking a selfmotivated senior engineer for the Aerial Omniverse Digital Twin team. This ... As a member of NVIDIA's Aerial team, you will architect and implement a GPU raytracing engine that ...

Nvidia

OR · On-site

$104.40K - $143.40K/yr

We are seeking a selfmotivated senior engineer for the Aerial Omniverse Digital Twin team. This ... As a member of NVIDIA's Aerial team, you will architect and implement a GPU raytracing engine that ...

Snarkify

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189.80K/yr

Snarkify is seeking an experienced and highly skilled Senior GPU Performance Engineer to join our team and play a pivotal role in advancing the state-of-the-art in Zero-Knowledge Proof (ZKP ...

Nvidia

Senior GPU Memory Architect

Austin, TX

We are now looking for a Senior GPU Memory Architect. NVIDIA is seeking a motivated architect to ... Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer ...

Nvidia

Senior GPU Memory Architect

Durham, NC · On-site

We are now looking for a Senior GPU Memory Architect. NVIDIA is seeking a motivated architect to ... Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer ...

Nvidia

Senior GPU Architect

Santa Clara, CA · On-site

$152.10K - $206.70K/yr

Join our technically diverse team of GPU architects, software engineers and deep learning experts to push the boundaries of AI performance! What you'll be doing: * Architect and plan features in ...

Snarkify

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189.80K/yr

Snarkify is seeking an experienced and highly skilled Senior GPU Performance Engineer to join our team and play a pivotal role in advancing the state-of-the-art in Zero-Knowledge Proof (ZKP ...

Nvidia Corporation

Senior GPU Architect

Santa Clara, CA · On-site

$152.10K - $206.70K/yr

Join our technically diverse team of GPU architects, software engineers and deep learning experts to push the boundaries of AI performance! What you'll be doing: * Architect and plan features in ...

Nvidia

Senior GPU Memory Architect

Santa Clara, CA

We are now looking for a Senior GPU Memory Architect. NVIDIA is seeking a motivated architect to ... Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer ...

next page

Showing results 1-20

People also search for

All JobsSenior Gpu Engineer Jobs

Senior Gpu Engineer information

See salary details

$59.5K

$126.6K

$183.5K

How much do senior gpu engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for senior gpu engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior GPU Engineer, and why are they important?

To thrive as a Senior GPU Engineer, you need expertise in GPU architectures, parallel programming (such as CUDA or OpenCL), and a strong background in computer science or electrical engineering. Familiarity with performance profiling tools, hardware simulation environments, and experience with programming languages like C++ are typically required. Excellent problem-solving, teamwork, and communication skills help you collaborate effectively and tackle complex technical challenges. These skills are vital for developing high-performance GPU solutions and driving innovation in graphics and compute-intensive applications.

What are some common challenges Senior GPU Engineers face when optimizing performance for new hardware platforms?

Senior GPU Engineers often encounter challenges such as adapting software to leverage the latest GPU architectures, balancing performance with power efficiency, and debugging low-level hardware-related issues. Working closely with hardware designers and software developers is essential to ensure that drivers and applications are optimized for target platforms. Additionally, staying updated with rapidly evolving GPU technologies and industry standards is crucial for success in this role.

What are Senior GPU Engineers?

Senior GPU Engineers are experienced professionals who design, develop, and optimize graphics processing units (GPUs) and related software. They work on hardware architecture, driver development, and performance optimization to ensure GPUs run efficiently for tasks like gaming, AI, and scientific computing. In addition to technical expertise, Senior GPU Engineers often mentor junior team members and collaborate with cross-functional teams to deliver high-performance solutions.

What is the difference between Senior Gpu Engineer vs Gpu Software Developer?

AspectSenior Gpu EngineerGpu Software Developer
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related field; experience with GPU architectureBachelor's or higher in Computer Science or related; programming skills in CUDA, OpenCL
Work EnvironmentResearch and development teams, hardware and software integrationSoftware development teams, application and driver development
Industry UsageHardware companies, gaming, AI, high-performance computingSoftware companies, game development, visualization

The main difference is that Senior Gpu Engineers focus on GPU hardware design, architecture, and optimization, while Gpu Software Developers primarily work on developing software applications, drivers, and APIs that utilize GPU capabilities. Both roles require strong programming skills and industry knowledge, but their focus areas differ significantly.

More about Senior Gpu Engineer jobs
What cities are hiring for Senior Gpu Engineer jobs? Cities with the most Senior Gpu Engineer job openings:
What are the most commonly searched types of Gpu Engineer jobs? The most popular types of Gpu Engineer jobs are:
What states have the most Senior Gpu Engineer jobs? States with the most job openings for Senior Gpu Engineer jobs include:
What job categories do people searching Senior Gpu Engineer jobs look for? The top searched job categories for Senior Gpu Engineer jobs are:
Senior Gpu Engineer jobs near you
Infographic showing various Senior Gpu Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, and 5% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Senior GPU Infrastructure Engineer

Hyperbolic Labs

San Francisco, CA • On-site

$127.80K - $173.80K/yr

Full-time

Posted 5 days ago

Job description

Who We Are
Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.
As we prepare for growth after our Series A, our team - led by co-founders with PhDs in AI, Math, and Computer Science - is poised to redefine computing.
About the Role
We're seeking a Senior Infrastructure Engineer to help build and scale Hyperbolic's GPU Cloud Marketplace, by building a multi-tenancy provisioning and virtualization solution. This is a foundational role where you'll be responsible for transforming raw GPUs from diverse global suppliers into a programmable, orchestrated pool that serves thousands of AI developers and researchers. You'll work at the cutting edge of cloud infrastructure, building the core orchestration layer that enables our platform to deliver up to 75% cost savings compared to traditional cloud providers.
Who You Are
  • Deep understanding of bare-metal provisioning and lifecycle management, including IPMI/Redfish, BMC-based remote management, PXE boot, and automated OS deployment workflows
  • Deep understanding of GPU scheduling and orchestration, including GPU type awareness, memory management, topology considerations, placement strategies for multi-GPU jobs, and fragmentation minimization
  • Strong infrastructure and DevOps engineering skills with proficiency in Terraform or Pulumi, CI/CD for infrastructure, secrets management, configuration management, and observability stack implementation
  • Experience with storage and data infrastructure for AI/ML workloads, including object storage, high-IOPS block storage, and distributed file systems for training data and checkpoints
  • Proficiency with API design and cloud-init for automated provisioning and configuration
  • Solid understanding of GPU architecture, CUDA, and GPU compute optimization
  • Highly collaborative team player with excellent communication skills across technical and non-technical stakeholders
  • Proven ability to work effectively with hardware vendors and vendor engineering teams to troubleshoot issues and optimize integrations
  • Experience building and scaling cloud infrastructure or distributed systems in production environments

Preferred Qualifications
  • Familiarity with high-performance networking technologies such as InfiniBand and RoCE (RDMA over Converged Ethernet)
  • Experience with distributed storage systems such as Ceph, Weka, or VAST Data

Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply