Code Metal

Collaborate with AI and software engineers to build AI pipelines that generate and refine hardware models. Integrate AI-driven modeling pipelines with industry-standard EDA tools for simulation, emulation, and synthesis. | Candidates should have a Master's or PhD in a relevant field and 5+ years of industry experience with SystemC modeling. A deep understanding of modeling tradeoffs and hands-on experience with relevant tools is essential. | 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. 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. 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.

Build and maintain robust distributed training systems and design scalable data curation pipelines. Drive innovation by developing evaluation frameworks and reinforcement learning solutions. | 2+ years of experience in distributed training and a strong background in reinforcement learning are required. Experience with data pipelines and orchestration is ideal, along with eligibility for TS/SCI clearance. | At Code Metal AI, you’ll be part of a world-class team with talent from MIT, OpenAI and other top companies, focused on pioneering work in large language models (LLMs) and code generation. Our projects directly involve leading chip manufacturers, applying advanced AI to solve meaningful, practical challenges with real-world impact. This role bridges two critical areas: Production Build and maintain robust distributed training systems using PyTorch (2+ years experience required). Design and implement scalable data curation and quality assurance pipelines to ensure top-tier training datasets. Develop orchestration tools that manage complex workflows across large-scale AI model training and evaluation. Research Drive innovation by developing evaluation frameworks and reinforcement learning solutions, including recent advancements in Reinforcement Learning with Human Feedback (RLHF). Engage with frontier research through open-source projects and potential publications, applying RLHF to Large Language Models (LLMs), ideally focusing on code generation tasks. 2+ years experience in distributed training, preferably with PyTorch. Strong background in reinforcement learning, with recent RLHF experience highly preferred. Proven ability to build data curation and quality assurance pipelines. Experience with evaluation framework development. Ideally, experience across both data pipeline and orchestration sides. Eligible for TS/SCI clearance. Nice to have: Contributions to open-source AI or ML projects. Published work or demonstrable research experience in related fields. Hands-on experience applying RLHF to LLMs, especially for code generation. Experience with large-scale synthetic data generation. Health care plan with 100% premium coverage, including medical, dental, and vision. 401k with 5% matching. Paid Time Off (Uncapped Vacation, plus Sick & Public Holidays). Flexible hybrid work arrangement. Relocation assistance for qualifying employees.

Build AI-powered transpilation and code generation tools. Deliver robust and scalable systems across the full stack. | 5+ years of professional software development experience with expert-level proficiency in Rust and Python. Strong experience in delivering entire software products and a product-oriented mindset. | We’re looking for a Senior Software Engineer with strong Rust and Python expertise and a product-focused mindset to help build a new class of AI-powered transpilation and code generation tools. These tools bridge the gap between algorithm development and embedded deployment, leveraging the latest in Generative AI, Static Analysis and Formal Verification. This is more than a backend role, we’re seeking engineers who can think end-to-end: from understanding user needs and UX, to delivering robust and scalable systems across the full stack. 5+ years of professional software development experience. Expert-level proficiency in Rust and Python. Strong experience delivering entire software products, not just isolated services you understand how frontend, backend and APIs come together. Product-oriented mindset - you think about UX, system behavior and real-world impact. Comfortable working cross-functionally with design, product and sometimes even customers. Strong software engineering practices: version control, code review, testing, continuous integration and deployment. Previous experience with greenfield projects and production build experience Why Code Metal? Mission with impact: your visuals steer the conversations that shape tomorrow’s force. Velocity: tight loops, tiny teams - design in the morning, deploy by evening. Ownership: no spectators - every engineer ships code that matters. Health care plan with 100% premium coverage, including medical, dental, and vision. 401k with 5% matching. Paid Time Off (Uncapped Vacation, plus Sick & Public Holidays). Flexible hybrid work arrangement. Relocation assistance for qualifying employees.