JOB-1842
A fast-growing AI company that builds software agents for semiconductor and hardware engineering is hiring engineers to make those agents stronger, more dependable and cheaper to run. The role blends talking with customers, designing evaluations, applied research and production engineering, alongside software engineers, researchers and hardware specialists.
Your focus
- Identify where agents fail, then build and execute evals that improve quality, reliability and efficiency
- Create new agent capabilities: interfaces to tools, handling of context, memory, and orchestration across several steps or several agents
- Examine run traces and test outcomes to pinpoint slowdowns, and distinguish true progress from benchmark noise
- Talk with customers and subject specialists about their needs, then ship and maintain solutions through to completion
- Turn experiments that work into solid, maintainable software in production
Profile
- Five to fifteen years of software engineering, including work on large-scale agent systems
- Strong production skills in Python and TypeScript
- Working knowledge of current language models, agent frameworks and typical ML workflows
- Experience with LLM agent orchestration, tools, memory and tracing
- Communicates well, shows sound judgment about customers and can isolate the core of vague technical problems
- Self-directed with strong ownership and product sense
- Bonus: interest in chip design or systems that span hardware and software
On-site in the South Bay Area (Silicon Valley). Not able to offer visa sponsorship or transfers.
