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Salary: USD 250,000 - 350,000 / annual
ChipAgents is revolutionizing chip design and verification with agentic-AI workflows. The company partners with top-10 semiconductor companies, hyperscale cloud providers, and cutting-edge startups to accelerate RTL development, functional verification, and simulation.
You will improve the performance, reliability, and efficiency of AI agents for hardware applications. Your work spans identifying failure modes, designing and running evaluations, developing new agent capabilities, and turning successful experiments into production software. You'll collaborate with a growing team of software engineers, researchers, hardware experts, customers, and field teams across customer discovery, evaluation design, applied research, product development, and deployment.
Key responsibilities include:
- Identify failure modes in AI agents and design evaluations to measure and improve performance, reliability, and efficiency
- Develop new agent capabilities and productionize successful experiments
- Design effective evaluations based on customer and domain specialist interactions
- Analyze traces and experimental results to identify bottlenecks
- Develop tool interfaces, context-management systems, memory, and multi-step/multi-agent orchestration
- Form clear hypotheses, test ideas quickly, and distinguish meaningful improvements from benchmark noise
- Move fluidly between experimental work and pragmatic product engineering
- Write well-architected, maintainable production code
The role offers ownership of the software layer that turns cutting-edge ML research into scalable products at the intersection of AI and semiconductors. You'll work alongside industry veterans, real customers, and real production scale, shaping your scope across research collaboration, engineering, and customer-facing work based on your strengths.
The company operates two engineering-centric offices with free parking, private gym, and free lunch, drinks, and snacks.
REQUIREMENTS:
- 5+ years of software engineering experience with a track record of shipping and operating complex, large-scale production services
- Strong backend engineering skills, with ownership of system architecture, scalability, reliability, performance, and cost
- Hands-on experience building production agent harnesses, including tool execution, context management, orchestration, durable state, and failure recovery
- Ability to diagnose agent failures and turn experimental capabilities into reliable, customer-ready services
- Strong programming skills in Python and/or TypeScript, with high standards for code quality, testing, and maintainability
- Clear communication and strong ownership across engineering, research, product, and customer-facing teams
- Ability to set architectural direction, lead cross-team initiatives, and mentor engineers while remaining hands-on
PREFERRED QUALIFICATIONS:
- Experience building agent memory systems, including persistent memory, retrieval, and context compression
- Experience building agent evaluations, including reproducible environments, automated grading, and regression detection
- Experience validating and calibrating LLM-as-a-judge evaluations against human judgments or verifiable outcomes
- Experience optimizing agents through systematic experimentation to improve task success, reliability, latency, or cost
- Interest in chip design, EDA, RTL, or hardware-software systems
