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

What you'll do

• Design orchestration capabilities for jobs, services, and stateful workloads, including Kubernetes Operators and container runtimes.
• Develop multi-tenant resource scheduling and quota systems to improve GPU utilization and cost efficiency.
• Build model-serving lifecycle, traffic-management, and reliability capabilities, including deployment, autoscaling, routing, and disaster recovery.

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.
• Hands-on investigative and quantitative problem-solving abilities, plus demonstrated ownership and collaboration through projects or other experience.

Nice to have

• Experience with Kubernetes, container runtimes, resource scheduling, quota management, multi-tenant systems, or FinOps.
• Experience or contributions involving model-serving systems, infrastructure projects, online services, GPUs/NPUs, or inference performance.

Tools

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

AI focus

Builds infrastructure that orchestrates machine-learning workloads and online model serving, including model deployment and serving traffic management.