Software Engineer Graduate (AI Infrastructure — Compute Efficiency & Scheduling) - 2027 Start

Job Description

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