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Tailor your resume to this Systems Research Engineer Intern - GPU Programming (Summer 2027) role.
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About the Role
As a Systems Research Engineer Intern specialized in GPU Programming, you will develop and optimize GPU-accelerated kernels and algorithms for ML/AI applications. You will co-design GPU kernels and model architecture with the modeling and algorithm team, and contribute to the co-design of efficient GPU architectures and programming models with hardware and software teams. Your research will ensure our AI infrastructure stays at the forefront of innovation.
Responsibilities
- Optimize and fine-tune GPU code for performance and scalability.
- Collaborate with cross-functional teams to integrate GPU-accelerated solutions.
- Stay up-to-date with the latest advancements in GPU programming techniques and technologies.
Requirements
- Strong background in GPU programming and parallel computing (e.g., CUDA, Triton).
- Knowledge of ML/AI applications and models.
- Knowledge of performance profiling and optimization tools for GPU programming.
- Excellent problem-solving and analytical skills.
Work Type
- Internship
Experience Level
- Intern
Salary/Compensations
- $58 to $63 an hour
Benefits
- Competitive compensation
- Housing stipends
- Other competitive benefits
About the Company
- 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
- 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.