Systems Research Engineer, GPU Programming
Company websitetogether.ai (Together AI, opens in new tab)
Base salary $200K to $300K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (10 min ago) · observed since
About this job
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, 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.
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.
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
Source: Together AI on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($200,000) is above 58% of the 1,505 Data & ML roles in California listed on this site; 72 others list the same floor. Their median floor is $189,600; the middle half runs from $160,000 to $229,900.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingSystems Research Engineer, GPU Programming$200K to $300K
Senior Software Engineer, Observability$200K to $280K
Platform Engineer, Model Shaping$200K to $290K
Senior Backend Engineer, Inference Platform$200K to $290K
Machine Learning Engineer - Inference$200K to $300K
Research Engineer, Large-Scale Training$200K to $290K
Sr. Field Marketing & Community Manager$190K to $225K
Chart as a table
| Role | Published base |
|---|---|
| Systems Research Engineer, GPU Programming (this listing) | $200K - $300K |
| Senior Software Engineer, Observability | $200K - $280K |
| Platform Engineer, Model Shaping | $200K - $290K |
| Senior Backend Engineer, Inference Platform | $200K - $290K |
| Machine Learning Engineer - Inference | $200K - $300K |
| Research Engineer, Large-Scale Training | $200K - $290K |
| Sr. Field Marketing & Community Manager | $190K - $225K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2024-01-16
Where this pay comes from
Location as the employer wrote it: San Francisco
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 lo
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.