ChipAgents Logo

ChipAgents

Software Engineer, ML for EDA

Posted 7 Days Ago
In-Office
San Jose, CA, USA
150K-350K Annually
Entry level
In-Office
San Jose, CA, USA
150K-350K Annually
Entry level
Build production software that brings machine learning research into EDA workflows and customer environments. Responsibilities include integrating EDA tools and compute infrastructure, developing data pipelines, deploying software in on-premises and restricted networks, creating reusable deployment tooling, and ensuring system reliability and performance. The role collaborates closely with ML researchers, hardware experts, and customer engineering teams while incorporating customer feedback into product development.
The summary above was generated by AI
Position Overview

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.

Key Responsibilities
  • 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.

Qualifications
  • 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.

Why ChipAgents
  • 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.

Equal Opportunity

ChipAgents is an equal opportunity employer. We welcome applicants of all backgrounds.

What We Offer
  • $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.

Similar Jobs

2 Minutes Ago
Hybrid
San Francisco, CA, USA
212K-244K Annually
Mid level
212K-244K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Develop and lead martech software development workstreams using Adobe Experience Manager as a Cloud Service. Design, code, test, maintain, integrate, and troubleshoot applications across web, mobile, and platform tools. Translate business requirements into technical solutions, apply APIs, microservices, CI/CD, testing, and automation practices, manage delivery plans and budgets, and coach engineering teams. Support content enablement, personalization, analytics, consent, and broader marketing technology initiatives while identifying process improvements and leveraging AI-enabled development tools.
Top Skills: Adobe Experience Manager As A Cloud Service (Aemaacs)APIsApplication IntegrationCi/CdCore ComponentsEditable TemplatesMicroservices
2 Minutes Ago
Hybrid
San Francisco, CA, USA
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads customer managed services consulting engagements, advising clients on customer experience strategy, service operations, journey improvements, and scalable operating models. Oversees complex programs, guides multidisciplinary teams, analyzes service data and customer feedback, develops executive recommendations, manages client relationships, and coaches team members through ambiguity and change.
3 Minutes Ago
Hybrid
5 Locations
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Advise health payer clients on modernizing operations, technology platforms, and operating models across claims, reimbursement, care management, customer service, and digital functions. Lead large transformation engagements, develop current- and future-state models, redesign processes, analyze performance metrics, coordinate business and technology stakeholders, coach teams, and present recommendations to senior decision-makers. Support client growth through solution development and market insights.
Top Skills: EpicFacetsNascoOracle Ohi

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account