Together AI Logo

Together AI

Systems Research Engineer Intern- GPU Programming (Summer 2026)

Posted 15 Days Ago
Be an Early Applicant
Easy Apply
In-Office
San Francisco, CA
58-63 Hourly
Internship
Easy Apply
In-Office
San Francisco, CA
58-63 Hourly
Internship
As a Systems Research Engineer Intern, you will optimize GPU-accelerated algorithms and collaborate on AI systems, enhancing performance through GPU programming.
The summary above was generated by AI
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, 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 advancements such as FlashAttention, Mamba, FlexGen, Petals, Mixture of Agents, and RedPajama.

Role Overview

As a Systems Research Engineer Intern 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.

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
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
Internship Details
  • Duration: ~12 weeks (Summer 2026)
  • Location: San Francisco
Internship Program Details

Our summer internship program spans over 12 weeks where you’ll have the opportunity to work with industry-leading engineers building a cloud from the ground up and possibly contribute to influential open source projects. Our internship dates are May 18th to August 7th or June 15th to September 4th. 

Compensation

We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58-63/hr. Our hourly rates 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



Top Skills

Cuda,Triton,Ml,Ai

Together AI San Francisco, California, USA Office

584 Castro St, #2050, San Francisco, California , United States, 94114

Similar Jobs

An Hour Ago
In-Office
Costa Mesa, CA, USA
191K-253K Annually
Senior level
191K-253K Annually
Senior level
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
Design and integrate embedded control electronics for drones, manage multiple projects, troubleshoot cross-disciplinary issues, and work with multi-engineer teams.
Top Skills: Altium DesignerCEmbedded SystemsGitGitJIRAPcb Design
An Hour Ago
In-Office
Costa Mesa, CA, USA
146K-194K Annually
Expert/Leader
146K-194K Annually
Expert/Leader
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
As a Program Manager, you will oversee explosives and firearms compliance, develop training programs, conduct inspections, and ensure adherence to ATF and DoD regulations.
Top Skills: Atf RegulationsCompliance FrameworksDod RegulationsProject Management Principles
An Hour Ago
In-Office
4 Locations
115K-168K Annually
Mid level
115K-168K Annually
Mid level
Cloud • Information Technology • Machine Learning
The Talent Development Partner will enhance leadership and internal mobility through development programs, performance management, and collaboration with business leaders to create engaging employee experiences.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account