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
AdTech • Digital Media • Marketing Tech
Lead and develop data-driven media strategies, guiding teams to align with organizational revenue priorities while fostering an inclusive culture. Oversee policy development and manage cross-functional initiatives.
AdTech • Digital Media • Marketing Tech
The Sr. Sales Director will lead growth in the Midwest and Northwest, drive new business with agencies, and enhance strategic accounts with innovative programmatic solutions.
Top Skills:
Crm Systems
Consumer Web • Healthtech • Professional Services • Social Impact • Software
As a Conversational AI Designer, you will optimize LLM-powered support chatbot interactions, establish design standards, and drive the automation roadmap to enhance user satisfaction.
Top Skills:
AIData AnalyticsLlmMachine LearningWorkflow Automation
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
