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Gpu Jobs (NOW HIRING)

Waymo

Software Engineer, GPU

Mountain View, NY · On-site

Develop high-performance GPU primitives and abstractions to enable Waymo to scale its accelerator codebase across diverse GPU backends * Collaborate with Waymo's internal hardware team and external ...

Graphcore

GPU Architect

Milpitas, CA · On-site

Job Summary We are seeking a highly accomplished experienced GPU Architect to define the next generation of AI accelerators and multi-GPU cluster architecture. As the demand for trillion-parameter ...

Graphcore

GPU Architect

Milpitas, CA · On-site

Job Summary We are seeking a highly accomplished experienced GPU Architect to define the next generation of AI accelerators and multi-GPU cluster architecture. As the demand for trillion-parameter ...

Sciforium

GPU Kernel Engineer

San Francisco, CA · On-site

$190K - $250K/yr

About the role We are seeking a highly skilled GPU Kernel Engineer who is passionate about pushing the limits of performance on modern accelerators. In this role, you will design and optimize custom ...

Waymo

Software Engineer, GPU

Mountain View, CA · On-site

$204K - $259K/yr

Develop high-performance GPU primitives and abstractions to enable Waymo to scale its accelerator codebase across diverse GPU backends * Collaborate with Waymo's internal hardware team and external ...

IBM

CUDA/GPU Developer

San Jose, CA · On-site

They are seeking a CUDA/GPU Developer to design, develop, test, and deliver innovative software solutions while collaborating in an Agile environment and focusing on GPU execution layer for next ...

United IT Solutions

GPU Infra Engineer

Irving, TX · Remote

GPU Infra Engineer (GPU Bare Metal) Location: Remote * Experience with bare metal and over-all architecture required GPU Bare Metal - Required Skills * Proven ability to orchestrate bare metal linux ...

Futran Tech Solutions Pvt. Ltd.

GPU Software Engineer

$138K - $185K/yr

GPU Software Engineer Location: USA(Remote) Role Summary We are seeking expert-level GPU Software Engineers to support a high-visibility platform initiative within the Maya program, focused on ...

Anthropic

Performance Engineer, GPU

San Francisco, CA · On-site

As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible ...

IBM

CUDA/GPU Developer

Austin, TX · On-site

They are seeking a CUDA/GPU Developer to design, develop, test, and deliver innovative software solutions while collaborating in an Agile environment and focusing on GPU execution layer for next ...

Optimal Inc.

GPU Platform Infrastructure Engineer

Warren, MI · On-site

$100K - $131K/yr

GPU Platform Infrastructure Engineer Job Summary Support the GM ARC RTD team by building and maintaining the foundational GPU cluster platform infrastructure supporting shared AI/ML, simulation, and ...

Optimal Inc.

GPU Platform Infrastructure Engineer

Warren, MI · On-site

$100K - $131K/yr

GPU Platform Infrastructure Engineer Job Summary Support the GM ARC RTD team by building and maintaining the foundational GPU cluster platform infrastructure supporting shared AI/ML, simulation, and ...

Genmo

GPU Performance Engineer

San Francisco, CA · On-site

We're seeking a GPU Performance Engineer to squeeze every last FLOP from our H100 infrastructure and optimize our model serving stack to its absolute limits. The Role You'll be our performance ...

Hudson River Trading

GPU Systems Engineer

London, CA · On-site

Hudson River Trading (HRT) is looking for GPU Systems Engineers to help scale and evolve our exceptionally sophisticated HPC/AI research environment. Joining our Research and Development team, you ...

Qualcomm

GPU Research Engineer

San Diego, CA · On-site

Qualcomm's GPU Research Team is looking for talented GPU architects to help advance state-of-the-art 3D GPU capabilities in Ray Tracing, Neural Rendering, Geometry Processing, and Machine Learning.

Baseten

Software Engineer - GPU Kernels

$143K/yr

This role focuses on designing high-performance GPU kernels and optimizing computation for machine learning operations, directly impacting production systems for millions of users. Responsibilities ...

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How much do gpu jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for gpu in the United States is $54.94, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $64.90 per hour, depending on experience, location, and employer.

What jobs pay $500,000 a year in the US?

High-paying jobs related to GPU technology typically include senior roles such as GPU architects, machine learning engineers, and graphics hardware directors, often requiring advanced degrees and extensive experience. These positions may involve leadership, research, or specialized technical skills and are usually found in large tech companies or research institutions. Compensation at this level often includes base salary, bonuses, and stock options, but such roles are highly competitive and rare.

What is the difference between Gpu vs Data Scientist?

AspectGpuData Scientist
Required CredentialsKnowledge of parallel computing, programming skills (CUDA, OpenCL)Degree in Computer Science, Statistics, or related fields; programming skills
Work EnvironmentHardware-focused, technical, often in R&D or engineering teamsData analysis, modeling, research in various industries
Industry UsageTech, gaming, AI, machine learningFinance, healthcare, tech, marketing

Gpu specialists focus on hardware and parallel processing for computing tasks, while data scientists analyze data to extract insights. Both roles require technical skills, but Gpu roles are more hardware-oriented, whereas data scientists focus on data analysis and modeling.

What jobs pay $400 an hour?

High-paying jobs related to GPU work typically include specialized roles such as AI research scientists, machine learning engineers, and graphics software developers, especially those with advanced skills and experience. These positions often require advanced degrees, expertise in programming, and experience with GPU hardware and parallel computing. Such roles are usually found in technology companies, research institutions, or consulting firms and may involve consulting or freelance work for high hourly rates.

What is a GPU job?

A GPU job refers to a computing task that utilizes a Graphics Processing Unit (GPU) for acceleration. GPUs are specialized processors designed for parallel processing, making them ideal for tasks like machine learning, scientific simulations, and rendering. Many software applications offload intensive computations to GPUs to improve performance and efficiency. Jobs related to GPUs can involve programming, optimization, and hardware configuration in fields like AI, gaming, and data analysis.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or systems architecture can earn $500,000 or more annually, especially with experience, advanced skills, and working in high-demand industries or companies. Executive or leadership roles like engineering managers or CTOs also often reach this compensation level, often including bonuses and stock options.

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

To thrive as a GPU Engineer, you need a solid background in computer engineering, mathematics, and programming languages such as C++ or CUDA, often supported by a relevant degree. Familiarity with GPU architectures, parallel computing frameworks, and tools like OpenCL or Vulkan is typically required. Analytical thinking, problem-solving, and teamwork are essential soft skills for innovating and debugging complex systems. These abilities are crucial for optimizing performance, ensuring compatibility, and driving advancements in graphics and computational workloads.

What is a GPU?

A GPU, or Graphics Processing Unit, is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images and graphics for display. While originally developed for rendering graphics in video games and visual applications, GPUs are now widely used for parallel processing tasks in areas such as artificial intelligence, data science, and scientific computing. Their architecture allows them to handle thousands of operations simultaneously, making them much faster than traditional CPUs for certain workloads.

What are some common challenges faced by GPU engineers when optimizing performance for various applications?

GPU engineers often encounter challenges such as balancing high computational throughput with power efficiency, ensuring compatibility across different hardware architectures, and optimizing code for parallel processing. They must also troubleshoot bottlenecks in memory bandwidth and latency that can impact performance. Collaboration with software developers and hardware architects is crucial to identify and resolve these issues, and staying updated with the latest advances in GPU technologies is essential for continued success.

Which 3 jobs will survive AI?

GPU-related roles such as hardware engineers, AI/ML specialists, and data scientists are likely to persist as they require specialized technical skills and understanding of complex systems. These jobs involve designing, developing, and maintaining AI infrastructure, which AI itself cannot fully automate. Continuous learning and expertise in programming, algorithms, and hardware are essential for these roles to remain relevant.
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Gpu jobs near you
Infographic showing various Gpu job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $114,281 per year, or $54.9 per hour.
GPU Software Engineer/GPU Architect

GPU Software Engineer/GPU Architect

Triune Infomatics Inc

San Jose, CA

$164K - $202K/yr

Other

Posted 26 days ago

Job description

Role: GPU Software Engineer/GPU Architect
Location: San Jose, CA
Duration: Long-term >> ongoing contract
 
Overview: We're looking for a strong GPU Software Engineer/GPU Architect to join a highimpact engineering team working on nextgeneration AI, GPU, and semiconductor technologies. This role focuses on GPU kernel development, memory architecture, and integration with modern inference systems such as vLLM and SGLang. You'll work onsite in San Jose, collaborating closely with a team of engineers building highperformance GPUaccelerated systems.
  • Develop and optimize CUDA/ROCm kernels for AI workloads
  • Work with HBM, memory hierarchy, thread scheduling, and P2P communication
  • Integrate GPU kernels with vLLM, SGLang, and other inference servers
  • Build highperformance components in C++ and Python
  • Support AI frameworks such as PyTorch and TensorFlow
  • Optimize multiGPU scaling, KVcache, and attention kernels
  • Profile and debug GPU workloads using Nsight, rocprof, etc.
  • Collaborate with crossfunctional GPU, AI, and semiconductor teams
Required Skills:
  • Strong experience with CUDA, ROCm/HIP, OpenCL, or MPI
  • Deep understanding of GPU architecture, HBM, memory models, and thread hierarchies
  • Handson experience with AMD/NVIDIA GPU software stacks
  • Expertlevel C++ and Python
  • Experience with PyTorch or TensorFlow
  • Experience with vLLM, SGLang, or similar inference systems
Preferred Skills:
  • RDMA, RoCE, InfiniBand, or Infinity Fabric
  • Distributed inference/training or HPC experience
  • Semiconductor or hardwareadjacent experience

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