Develop and optimize intelligent, AI-driven scheduling platforms to improve the efficiency of global compute clusters. Focus on reducing costs and increasing performance for AI/LLM training and inference workloads at scale.
Requirements
Requires a Bachelor's or Master's degree in Computer Science or a related technical field and proficiency in at least one major programming language. A solid foundation in distributed systems, operating systems, or computer architecture is essential.
Key Skills
Go, C++, Rust, Python, Java, Operating Systems, Distributed Systems, Computer Architecture, Networking, Kubernetes, Containers, Cloud Infrastructure, AI Infrastructure, Scheduling Platforms, Software Development, Open Source Contribution
Benefits
Medical Insurance, Dental Insurance, Vision Insurance, 401(k) Savings Plan With Company Match, Paid Parental Leave, Short-term Disability Coverage, Long-term Disability Coverage, Life Insurance, Wellbeing Benefits, Paid Holidays, Paid Sick Days, Paid Personal Time
#J-18808-LjbffrSoftware Engineer Graduate (AI Infrastructure — Compute Efficiency & Scheduling) - 2027 Start in san jose at Unknown Company
This position is listed as full time and onsite.