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Full Time Gpu Engineer Jobs (NOW HIRING)

Waymo

Software Engineer, GPU

Mountain View, CA · On-site

$204K - $259K/yr

... Engineer. You will: * Develop high-performance GPU primitives and abstractions to enable Waymo to ... full-time position across US locations is listed below. Actual starting pay will be based on job ...

Qualcomm

Technical Program Manager - GPU AI

San Diego, CA · On-site

$171K - $256K/yr

This role is based in San Diego, CA and requires full-time onsite work (5 days per week). What You Will Be Doing * Lead program management for GPU AI activities across GPU engineering teams. * Drive ...

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How much do full time gpu engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for full time gpu engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.
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Full Time Gpu Engineer jobs near you

Systems Research Engineer, GPU Programming

Together AI

San Francisco, CA • On-site

$160K - $230K/yr

Full-time

Medical

Posted 7 days ago

Key responsibilities

  • Optimize and fine-tune GPU code to achieve better performance and scalability.

  • Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems.

  • Stay up-to-date with the latest advancements in GPU programming techniques and technologies.

Job description

About the Role
As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation.
Requirements
  • Strong background in GPU programming and parallel computing, such as CUDA and/or Triton.
  • Knowledge of ML/AI applications and models
  • Knowledge of performance profiling and optimization tools for GPU programming
  • Excellent problem-solving and analytical skills
  • Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences
Responsibilities
  • Optimize and fine-tune GPU code to achieve better performance and scalability
  • Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems
  • Stay up-to-date with the latest advancements in GPU programming techniques and technologies
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy

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