About the team
The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models.
Responsibilities
Conduct research on infrastructure and systems for large-scale models.
Explore methods to improve efficiency, scalability, and reliability across areas such as training platforms, inference systems, compilers, and distributed systems.
Design and prototype system components, algorithms, or frameworks.
Collaborate with the team to advance research directions.Minimum Qualifications
Currently pursuing a PhD in computer science, mathematics, engineering, or a related field.
Strong programming skills and solid foundation in algorithms, data structures, and systems, proficient in Python or C/C++.
Research or internship experience related to large-scale systems, inference optimization, compilers, or performance optimization.
Preferred Qualifications
Strong problem-solving and engineering skills.
Ability to collaborate effectively in a research environment.
Numbers & Facts
Location
San Jose, CA
Skills
Algorithmsunmatched
Artificial Intelligence (AI)unmatched
C Programming Languageunmatched
C++ Programming Languageunmatched
Computer Programmingunmatched
Computer Scienceunmatched
Data Structuresunmatched
Distributed Computingunmatched
Engineeringunmatched
Large-Scale Systemsunmatched
Mathematicsunmatched
Performance Tuning/Optimizationunmatched
Problem Solving Skillsunmatched
Prototypingunmatched
Python Programming/Scripting Languageunmatched
Reinforcement Learningunmatched
Research Skillsunmatched
Team Playerunmatched
🎯
Be found by employers
5,500+ employers search our resume database daily. Add yours to get found by recruiters looking for candidates like you.
Level up your application
Professional resume templates
Browse dozens of recruiter approved resume templates, layouts and formats. Choose your favorite and make it your own in minutes.