Systems Research Engineer Intern - GPU Programming (Summer 2027)
Required skills
- GPU programming
- parallel computing
- CUDA
- Triton
- ML/AI applications
- performance profiling
- optimization tools
- GPU architectures
- programming models
Nice to have
- AI systems
- model architecture
- software systems
- frontier models
- reinforcement learning
- pre-training
Role summary
Together AI is seeking a Systems Research Engineer Intern specializing in GPU Programming for Summer 2027. This role involves developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications, co-designing GPU kernels and model architecture with the modeling team, and collaborating with hardware/software teams on efficient GPU architectures and programming models. The intern will optimize GPU code, integrate solutions, and stay current with GPU programming advancements. Requirements include a strong background in GPU programming and parallel computing (CUDA/Triton), knowledge of ML/AI applications, and performance profiling tools. The internship program lasts 12-14 weeks, offering competitive compensation and benefits.
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
Requirements
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.
Internship Program Details:
Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort's internship dates span either May 17th to August 6th or June 14th to September 3rd.
Compensation
We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $70 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Application Policy
Please read each role carefully and apply to the position best suited to you. Candidates are limited to 6 applications within a 90-day period, and applications beyond that limit will be automatically rejected. You may apply to additional roles 90 days after your last application.
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
Similar roles
- (Staff / Senior Staff) AI Inference Reliability Engineer, Compute InfraTogether AI · San Francisco, CA · Onsite
- Research Intern, Frontier Speculative Decoding (Winter 2027)Together AI · San Francisco, CA · Onsite
Aircraft Propulsion Systems Research EngineerHX5 · Brook Park, OH · Onsite
Summer 2027 PhD ML Systems Research Engineering InternAMD · Santa Clara, CA · Hybrid- Research Engineer, InfrastructureHARVEY · Remote · Remote
- Research Engineer – Robotics & Embodied AIElorian AI · Palo Alto, CA · Hybrid
