Is the Systems Research Engineer, GPU Programming role remote?

It's hybrid — Together AI expects some on-site time in San Francisco.

What's the salary range?

Together AI lists $160,000–$230,000 for this role.

Where is the role based?

Together AI is hiring for this position in San Francisco.

What's the tech stack?

Joblaze extracted these technologies from the posting: ML/AI, Triton, GPU programming, FlashAttention, CUDA, FlexGen.

What seniority level is this role?

Together AI targets senior candidates for this position.

Is this full-time or contract?

Full-time for this Systems Research Engineer, GPU Programming role at Together AI.

Systems Research Engineer, GPU Programming at Together AI

Joblaze summary

In the role of Systems Research Engineer focused on GPU Programming, the individual will develop and optimize GPU-accelerated algorithms for machine learning and AI applications. Proficiency in GPU programming, particularly with tools like CUDA and Triton, along with a solid understanding of performance optimization, is essential. This position is ideal for candidates with advanced degrees in relevant fields and a strong background in parallel computing. Together AI, a research-driven company, emphasizes collaboration across teams to push the boundaries of AI technology.

Joblaze insights

Listed about a month ago on Joblaze — tracked directly from Together AI's career page.
Together AI has 58 other open roles including Customer Support Engineer (Inference), Senior Technical Recruiter, AI/ML Research, Engineering Manager, Site Reliability Engineering.
37 active CUDA roles on Joblaze right now.
18 active Triton roles on Joblaze right now.
5 active ML/AI roles on Joblaze right now.
Salary band is below the typical range for AI/ML (median ~$190,000).

Quick facts

Is the Systems Research Engineer, GPU Programming role remote?: It's hybrid — Together AI expects some on-site time in San Francisco.
What's the salary range?: Together AI lists $160,000–$230,000 for this role.
Where is the role based?: Together AI is hiring for this position in San Francisco.
What's the tech stack?: Joblaze extracted these technologies from the posting: ML/AI, Triton, GPU programming, FlashAttention, CUDA, FlexGen.
What seniority level is this role?: Together AI targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Systems Research Engineer, GPU Programming role at Together AI.

From the original posting

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