Software Engineer Graduate (AML-Engine-Orchestration) - 2027 Start (PhD)

What you'll do

• Develop orchestration capabilities for machine-learning workloads, including Kubernetes Operators, container runtimes, and workload lifecycle management.
• Build multi-tenant resource scheduling and quota systems to improve GPU utilization and cost efficiency.
• Develop model-serving lifecycle orchestration, traffic management, autoscaling, and multi-cluster reliability capabilities.

What they ask for

• Completing or recently completed a PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.
• Proficiency in at least one of Go, C++, or Python, with foundations in data structures, algorithms, and software engineering.
• Familiarity with Linux and foundational knowledge of operating systems, computer networks, concurrent programming, and distributed systems.
• Strong hands-on investigation, quantitative problem-solving, ownership, and collaboration abilities.

Nice to have

• Experience with Kubernetes, container runtimes, scheduling, quota management, multi-tenant systems, or FinOps.
• Experience with model-serving systems, online services, traffic management, GPU/NPU programming, or related infrastructure.

Tools

Kubernetes Operators, Go, C++, Python, Linux, Kubernetes, Volcano, Koordinator

AI focus

Build infrastructure for machine-learning workload orchestration and online model serving, including scheduling, model distribution, and serving traffic management.