Staff Software Engineer, Temporal Technologies

• 8+ years of professional work experience
• Proven experience in optimizing AI systems using both machine learning and systems techniques
• Experience and passion for harnessing generative AI, particularly for agents and coding
• A deep appreciation for how to use AI to improve quality, not only to increase quantity
• A sense of taste in code and software development practice. Your approach should be opinionated and thoughtful, but not dogmatic
• Fluency in multiple programming languages, and an affinity for learning new ones
• Deep experience with concurrent programming—you should know how to use mutexes, atomics, and other concurrency primitives safely
• Experience designing APIs and writing documentation for publicly-available libraries or modules
• Strong technical communication skills—written and verbal—in English
• BS or MS in Computer Science (or a closely-related degree), or equivalent work experience writing production-grade software
• If you thrive on blending theory and practice, then this is the right team for you. We are an action-oriented group that loves to ship fast and solve customer problems. We also seek thorough technical grounding for our work and invest in systems and practices that foster long-term success

Desirable

• We have an opening to hire a Staff Software Engineer - Agent Optimization
• Temporal provides a reliable foundation powering AI leaders such as OpenAI, NVIDIA, Cursor, Lovable, Replit, and others
• Its adoption is expanding to users spanning a broad range of AI applications ranging from agents to data pipelines and everything in between
• The mission of the AI Foundations team is to accelerate Temporal adoption across the entire ecosystem
• Our approach combines a deep understanding of use cases with rigorous application of computer systems and software design principles
• In this role, you will lead our agent agent optimization efforts
• You will design tools and mechanisms to help Temporal users build agents that are optimized for token spend and response time while maintaining result quality
• Model routing is a first step, but represents the tip of the iceberg of techniques that we can apply
• For example, multi-agent architecture, cache policy, and context management are all relevant
• Candidates for this role should have direct experience with this problem domain
• You will work closely with other AI Foundations team members, e.g., those who focus on agentic development, maintaining a set of agents skills that lift performance of Codex, Claude Code, and similar tools for developers of Temporal applications. Other team members build ecosystem integrations or develop policy and security systems
• Work as a software engineer
• Maintain and expand a deep understanding of agentic coding
• Design and build agentic coding systems that we can trust to deliver high-quality outputs
• Develop a deep understanding of AI application development patterns and techniques, including emerging approaches and architectures
• Take end-to-end ownership of new features, working with other teams to deliver exceptional reliability and a great developer experience
• Work with multiple programming languages: Python and TypeScript, Java, Go
• Serve as a domain expert on AI design patterns, collaborating with field staff to provide best-practices and canonical examples
• Work directly with our developer community to debug issues that need expert attention and get feedback on Temporal features and APIs
• Write public technical documentation describing Temporal concepts and APIs
• Go the extra mile to support a customer in need, on the rare occasion that our teams’ engineering expertise is needed
• Attend the occasional developer conference to talk about how great Temporal is (optional)