Software Engineer, GKE, PhD, Early Careers

Lead the development of the GenAI prototypes, defining the frameworks and components necessary for AI-driven orchestration.
Architect system loops. Implement the interaction between the deterministic C++/Go code and the GenAI Reasoning Agents.
Develop validation engines. Build data-driven verification systems to ensure AI-generated code, configurations, and decisions provide good quality output.
Define execution intent. Contribute to the design of a new outcome-oriented execution intent language that allows users to define "what" they want (e.g., SLOs, business goals) rather than "how" to orchestrate.
Optimize infrastructure. Use AI to improve resource utilization, create dynamic allocation models, and develop specialized fast systems tailored to specific workload archetypes like training and inference.

Experience with coding in data structures, algorithms and software design.
Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting, or related fields.
Work or educational experience in Machine Learning or Artificial Intelligence.

Currently enrolled in or graduated from a PhD program.
Experience translating complex theoretical research into functional prototypes or Proof of Concepts (PoCs).
Ability to act as a "Principal Engineer" peer, collaborating across teams to unify disparate orchestration stacks into a cohesive user experience.

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