Software Engineer, ML for EDA

CHIP'S GENERAL CARPENTRY, LLC
San Jose, CA, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$150,000 - $350,000
Working hours
Regular working hours

Tech stack

Logic Synthesis of Circuits Electronic Design Automation Python (Programming Language) Linux System Administration Machine Learning Open Source Technology Server Administration Software Deployment Software Engineering Systems Integration Tcl (Programming Language) Verilog
+10 more
Management of Software Versions Scripting Large Language Models Production Code Power Analysis (Cryptography) Data Management Slurm Machine Learning Operations Physical Design Data Pipelines

Job description

We are hiring Software Engineers to build the production systems behind our machine learning work in electronic design automation (EDA). Our researchers apply ML to power, performance, and area problems in chip design, and you’ll turn that work into reliable software that runs in the ChipAgents platform and inside customer design environments. That means integrating with EDA tools, flows, and compute infrastructure, building the data pipelines and services our models depend on, and making deployments repeatable across customers. You’ll work closely with ML researchers, hardware experts, and customer engineering teams., * Build and maintain the production software that brings our ML research into the ChipAgents platform.

  • Integrate with EDA tools, flow scripts, libraries, and compute infrastructure across a range of design environments.
  • Build data pipelines and tooling that turn EDA tool runs into datasets for training and evaluation.
  • Deploy and support our software in customer environments, including on-premises and restricted-network setups, working with customer engineering teams.
  • Turn repeated integration work into reusable tools, such as deployment tooling, adapters, and documentation.
  • Own the reliability and performance of the systems our researchers and customers depend on.
  • Bring customer feedback, failure cases, and feature requests back to the research and product teams.
  • Write well-architected, maintainable production code., * Take new ML research into production on real chip designs, working directly with the researchers who build it and the customer teams who use it.
  • Shape the product, since the feedback you bring back from customers directly informs our roadmap.
  • Join a fast-growing team working alongside industry veterans and real customers, with scope across engineering, research collaboration, and customer-facing work based on your strengths and interests.

Requirements

Software Engineering, Technical Support, Machine Learning, Electronic Design Automation, Data Management, Software Engineering, Production Systems, Technical Recruiting, Software Administration, Scripting (Scripting Languages), * Strong software engineering skills in Python and experience building production systems in Linux environments.

  • Familiarity with the digital design flow (synthesis, place and route, timing and power analysis) and 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 (LSF, Slurm), containers, and restricted networks.
  • Strong communication skills and customer judgment, with the ability to work directly with customer engineering teams and our researchers.
  • Self-directed, with strong ownership and a 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.

Benefits & conditions

  • $150K/yr - $350K/yr base salary + equity. We are open to discuss above-scale compensation with exceptional candidates on a case-by-case basis.
  • Unlimited PTO and full benefits (medical, vision, dental, 401k).
  • Two engineering-centric offices with free parking, private gym, and free lunch, drinks and snacks.

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