The Senior Engineer will develop AI-driven hardware models, assess SystemC simulation efficiency, and integrate modeling with EDA tools.
About Code Metal
Code Metal is building the future of code transformation. Our platform enables seamless source-to-source transpilation, helping teams translate and optimize software across programming languages and domains. By combining deep expertise in compilers with modern AI-driven pipelines, we are unlocking powerful new ways to accelerate hardware and software development.
We are now looking for a Senior Engineer – Hardware Modeling to help expand our core product into the world of AI-assisted hardware design and SystemC modeling. This is a unique opportunity to shape how advanced AI workflows integrate with EDA tools and chip design processes.
What you’ll do
- Collaborate with AI and software engineers to build agentic AI pipelines that generate and refine hardware models, from blocks to full SoCs.
- Assess the quality and attributes of SystemC models, including simulation speed, precision and synthesizability.
- Integrate AI-driven modeling pipelines with industry-standard EDA tools for simulation, emulation and synthesis.
Requirements
- Master’s or PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience).
- 5+ years industry experience with SystemC modeling and simulation across block and SoC levels.
- Deep understanding of modeling tradeoffs at various abstraction levels (analytical, TLM, cycle-accurate).
- Hands-on experience with Synopsys, Cadence or Siemens tools for modeling, HLS and simulation.
- Knowledge of Verilog or VHDL.
- (Bonus) Experience with Formal Verification techniques.
Benefits
- Work on cutting-edge AI applications in chip design and modeling.
- Join a highly technical, collaborative team solving real industry challenges.
- 100% remote-friendly within the US.
- 100 % Paid comprehensive health, dental and vision coverage.
- 401K with 5% Match
- Unlimited PTO and flexible, supportive work culture
If you’re passionate about hardware modeling and want to be at the forefront of how AI is transforming EDA and chip design, we’d love to hear from you.
Top Skills
Cadence
Eda Tools
Siemens
Synopsys
Systemc
Verilog
Vhdl
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The role involves designing scalable Kubernetes platforms, optimizing infrastructure reliability, mentoring engineers, and integrating open-source technologies.
Top Skills:
AlertmanagerAWSGCPGoKubernetesOciPrometheusThanos
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Patent Attorney will manage patent portfolios, assist with patent prosecution, conduct invention mining, and utilize AI-driven workflows to enhance team efficiency.
Top Skills:
AILegal TechnologyPatent ProsecutionSpreadsheets
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Director of HR Compliance & Immigration leads global HR compliance and immigration strategy, ensuring adherence to labor laws, pay equity, and global mobility programs, while partnering with various departments to support a compliant workforce strategy.
Top Skills:
Case Management SystemsCompensation Analytics ToolsGlobal Hris
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
