Software Engineer, ML for EDA

ChipAgents • San Jose, CA

3d

About The Position

ChipAgents is hiring Software Engineers to build production systems that bring machine learning research in electronic design automation (EDA) into the ChipAgents platform and customer design environments. The work supports researchers applying machine learning to power, performance, and area problems in chip design. It includes integrating with EDA tools, flows, and compute infrastructure; building data pipelines and services used by models; and making deployments repeatable across customer environments. The role works closely with ML researchers, hardware experts, and customer engineering teams.

Engineers own the reliability and performance of systems used by researchers and customers, support deployments in on-premises and restricted-network settings, and turn recurring integration work into reusable tools and documentation. Customer feedback, failure cases, and feature requests are shared with research and product teams to help shape the product and roadmap.

ChipAgents describes the team as fast-growing and working alongside industry veterans and real customers. The role offers scope across engineering, research collaboration, and customer-facing work, based on the employee’s strengths and interests. The company is an equal opportunity employer and welcomes applicants of all backgrounds. Base salary is $150,000–$350,000 per year, plus equity; above-scale compensation may be discussed with exceptional candidates on a case-by-case basis. Benefits include unlimited PTO, medical, vision and dental coverage, and a 401(k). The company also offers two engineering-centric offices with free parking, a private gym, and free lunch, drinks, and snacks.

Requirements

• Strong software engineering skills in Python.
• Experience building production systems in Linux environments.
• Familiarity with the digital design flow, including synthesis, place and route, and timing and power analysis, and with the EDA tools used to run it.
• Working knowledge of machine learning and how ML systems are trained, evaluated, and deployed.
• Experience deploying software into customer or enterprise environments, including compute farms such as LSF or Slurm, containers, and restricted networks.
• Strong communication skills and customer judgment, including the ability to work directly with customer engineering teams and researchers.
• Self-directed approach, strong ownership, and commitment to customer and business outcomes.

Nice To Haves

• Hands-on experience with commercial EDA tools, including Tcl scripting.
• Experience as an engineer at an EDA vendor or semiconductor company.
• Familiarity with EDA data formats such as Verilog, Liberty, LEF/DEF, SDC, and SPEF.
• Experience with open-source EDA tools.
• Experience with LLMs or agent systems.
• MLOps experience with model packaging, versioning, and monitoring.

Responsibilities

• Build and maintain production software that brings ML research into the ChipAgents platform.
• Integrate with EDA tools, flow scripts, libraries, and compute infrastructure across different design environments.
• Build data pipelines and tooling that convert EDA tool runs into datasets for training and evaluation.
• Deploy and support software in customer environments, including on-premises and restricted-network setups, in collaboration with customer engineering teams.
• Turn repeated integration work into reusable tools, including deployment tooling, adapters, and documentation.
• Own the reliability and performance of systems used by researchers and customers.
• Bring customer feedback, failure cases, and feature requests to research and product teams.
• Write well-architected, maintainable production code.

Benefits

• Unlimited PTO.
• Medical insurance.
• Vision insurance.
• Dental insurance.
• 401(k).
• Equity.
• Two engineering-centric offices with free parking, a private gym, and free lunch, drinks, and snacks.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed