Code Metal

Build strategic relationships, identify opportunities, and manage long-term account growth in the semiconductor industry. | Requires 5+ years in microprocessor, SoC, or hardware platform sales or customer success, with strong technical understanding and enterprise partnership management. | About Code Metal: Code Metal is redefining code translation for mission-critical industries, helping defense, automotive, and semiconductor partners move more quickly and reliably from algorithm to silicon. Code Metal’s platform supports rapid feature development and code portability across chip architectures. We’re seeking a semiconductor vertical lead to build strategic relationships across leading microprocessor, SoC and HW platform companies. The Role: This role sits at the intersection of business development, customer success, technical collaboration, and long-term account growth. This role is ideal for someone who understands the semiconductor ecosystem, and the software/programmability pain points experienced by the industry’s own customers. You’ll quarterback engagements from introduction to execution, advancing day-to-day pipeline activity by working closely with product and engineering leads to expand at existing customers and identify new opportunities. Responsibilities: Build strategic relationships with microprocessor, SoC and HW platform companies Identify opportunities for Code Metal’s verified code translation platform to target the application layer, enabling further hardware sales Partner with engineering to align platform delivery with customer requirements Manage account growth and long-term success across programs Represent Code Metal at industry conferences and customer demos Explore pricing and licensing models that drive long-term partnerships Stay ahead of emerging trends in chip architectures, accelerators, and toolchains Bachelor’s degree in Computer Science or related field 5+ years of BD or customer success experience in microprocessor, SoC, and HW platform companies Proven ability to manage enterprise partnerships and complex technical sales cycles Familiarity with programmability pain points for microprocessors and domain-specific accelerators Strong technical aptitude and understanding of embedded software/hardware systems US Citizen or permanent resident Remote OK Pay depends on experience, but we strive to be at the upper end of the salary range 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 or remote work arrangement. Relocation assistance for qualifying employees.

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.