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

Job Description

Develop and optimize an intelligent scheduling platform to manage massive compute fleets for AI/LLM workloads. Focus on improving compute efficiency, reliability, and automation across global data centers.

Requirements: Requires a Bachelor's or Master's degree in Computer Science or a related technical field. Proficiency in at least one major programming language and a solid foundation in systems programming or architecture is required.

Key Skills: Go, C++, Rust, Python, Java, Operating Systems, Distributed Systems, Computer Architecture, Networking, Kubernetes, Containers, Cloud Infrastructure, AI Infrastructure, Scheduling Platforms, Large-scale Software Development

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