What You’ll Do
- Conduct foundational and applied research in GPU systems and AI infrastructure
- Develop novel approaches to improving performance, efficiency, and utilization
- Design experiments and simulations to validate research hypotheses
- Collaborate with research engineers to translate ideas into prototypes
- Analyze large-scale system behavior and performance data
- Publish internal research findings and contribute to external publications where appropriate
- Stay current with academic and industry research trends
- Influence long-term technical direction and the research roadmap
You’ll Thrive Here if You
- Have a PhD or equivalent experience in computer science, engineering, or a related field
- Possess a strong background in systems, distributed computing, or ML systems
- Have experience designing rigorous experiments and evaluations
- Are comfortable working with ambiguity and open-ended problems
- Demonstrate strong communication skills for explaining complex ideas
Bonus Qualifications
- Publications in systems, ML systems, or performance-related research
- Experience with large-scale GPU clusters or AI platforms
- Familiarity with scheduling, resource allocation, or systems optimization
- Experience collaborating with product or engineering teams
Why This Role is Unique
You will define the intellectual foundation behind how next-generation GPU infrastructure is built, optimized, and operated, with a direct path to real-world impact.
Details
- Competitive salary and equity based on experience and skill set
- Flexible work environment
- Applicants must be authorized to work in their respective location
