Staff Software Engineer, Agents, Workspace

Job description

Provide technical leadership on high-impact projects. Influence and coach a distributed team of engineers. Clarify and solve ambiguous technical issues by collaborating with leadership and cross-functional partners to integrate Agentic infrastructure. Partner with Workspace vertical teams to drive engineering excellence, proactively anticipating scaling bottlenecks to ensure low-latency performance and reliability. Develop the technical goals and roadmap for our Agentic future, exhibiting strong judgment in balancing immediate product needs with the long-term health of our autonomous protocols. Minimum Qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development in one or more programming languages (e.g., C++, Python). 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). Preferred Qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction. Experience developing agentic systems, including multi-agent architectures, Model Context Protocol (MCP) integration, and benchmarking for agentic reliability and safety (e.g., AgentBench, CLEAR).