Together AI
AI & Machine LearningDirect Greenhouse career site

Systems Research Engineer, GPU Programming

Pay
$200,000 – $300,000 per year
Location
San Francisco, CA
Job type
Full-time
Level
Senior
Education
Bachelor's degree
Listed
30 days ago

Skills & highlights for this role

  • CUDA
  • Triton
  • GPU programming
  • parallel computing
  • performance profiling

Also useful

  • ML/AI models
  • GPU kernel optimization

Stated benefits & perks

  • Health

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

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: $200,000 - $300,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

About Together AI

Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.

Equal opportunity and legal notices

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.

Read the original posting

From Together AI's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

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Common questions

What is the salary for the Systems Research Engineer, GPU Programming role at Together AI?

The Systems Research Engineer, GPU Programming posting at Together AI states compensation of $200,000 – $300,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Together AI's official career site.

Where is the Systems Research Engineer, GPU Programming job at Together AI located?

This Systems Research Engineer, GPU Programming position at Together AI is located in San Francisco, CA. Always check Together AI's application page for specific state eligibility or relocation policies.

What qualifications are required for Systems Research Engineer, GPU Programming at Together AI?

For the Systems Research Engineer, GPU Programming role, Together AI highlights a bachelor's degree; experience with CUDA, Triton, GPU programming, parallel computing, performance profiling. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Systems Research Engineer, GPU Programming position at Together AI?

This listing links directly to Together AI's Greenhouse application page. You can apply directly on Together AI's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.

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