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$53.5K

$127.2K

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How much do systems research engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for systems research engineer in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What is a systems research engineer?

A Systems Research Engineer is a professional who designs, analyzes, and optimizes complex computing systems, often working at the intersection of hardware and software. They conduct research to improve system performance, scalability, reliability, and energy efficiency, typically in areas such as distributed systems, operating systems, networking, or cloud infrastructure. Their work involves prototyping, experimentation, and publishing findings to advance the state of the art in systems engineering. These engineers often collaborate with academic researchers, industry partners, and product development teams.

What are the key skills and qualifications needed to thrive as a systems research engineer, and why are they important?

To thrive as a Systems Research Engineer, you need a strong background in computer science, systems architecture, and problem-solving, typically supported by a relevant degree and research experience. Familiarity with programming languages (such as C/C++ or Python), simulation tools, and systems analysis platforms, as well as experience with operating systems and distributed computing, is essential. Critical thinking, strong communication, and the ability to work collaboratively help distinguish top performers in this role. These skills and qualities are crucial for innovating system designs, advancing technology, and ensuring robust, efficient solutions to complex engineering problems.

What are some common challenges faced by systems research engineers when translating research prototypes into scalable solutions?

Systems Research Engineers often encounter challenges when moving from innovative prototypes to production-ready systems. These include ensuring the scalability and reliability of solutions, integrating experimental features with existing infrastructure, and optimizing for real-world constraints like latency and resource usage. Close collaboration with software engineers and product teams is essential to address these issues, and iterative testing is typically required to bridge the gap between theory and practical deployment.
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Systems Research Engineer jobs near you
Infographic showing various Systems Research Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.

Systems Research Engineer, GPU Programming

San Francisco, CA • On-site, Remote

Together AI
Internet and IT • 51 - 200 employees
Learn more about Together AIexternal

$200K - $300K/yr

Full-time

Medical

Re-posted 21 days ago

Job description

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.

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  

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