Code Metal

Lead backend service and API development with technical leadership and hands-on coding. | Strong backend engineering experience with Python, relational databases, leadership, and cloud deployment. | About Code Metal Code Metal is redefining code translation for mission-critical industries, helping defense partners move more quickly and reliably from algorithm to silicon. Our platform accelerates deployment of DSP, RF, communications, and embedded signal processing algorithms onto heterogeneous compute targets, including GPUs, FPGAs, ASICs, and edge SoCs. We also support automotive, aerospace, and semiconductor partners deploying complex algorithms onto constrained hardware with speed and rigor. About the Role We are looking for a Lead Backend Engineer to help design, build, and lead development of the core backend services that power our platform. This is a hands-on engineering role for someone who wants to write code while also providing technical leadership for a small team of backend engineers. You will help define service architecture, implementation patterns, API contracts, integration boundaries, and delivery standards across backend systems. You will work closely with platform engineering, data engineering, product, and domain experts to understand what needs to be built, break down ambiguous requirements, and turn them into reliable, maintainable backend services. This role requires experience building enterprise software that can run in modern cloud environments as well as standalone, on-premises, air-gapped, or customer-controlled deployments. We are looking for someone who understands how to build systems that are not only functional, but also durable, observable, secure, deployable, and maintainable in real-world production environments. This is not a people-management-only role. The right person will lead by example through design, implementation, code review, debugging, mentorship, and technical decision-making. What You’ll Do Design, build, and maintain backend services, APIs, workers, and integration layers, primarily in Python. Lead a small team of backend engineers while remaining deeply hands-on in the codebase. Translate product goals, domain requirements, and technical constraints into clear backend designs and implementation plans. Partner with platform engineering leads to ensure services are deployable, observable, secure, and reliable across cloud and on-premises environments. Partner with data engineering leads to define service boundaries, data contracts, persistence patterns, and integration points. Own backend architecture decisions for service design, API design, domain logic, asynchronous workflows, and system boundaries. Build enterprise-grade software that can operate in multiple deployment models, including: cloud-hosted environments private cloud environments customer-managed infrastructure standalone/on-premises systems disconnected or constrained environments Establish and reinforce backend engineering standards, including: clean service boundaries typed API contracts testing expectations error handling patterns observability patterns database migration practices secure coding practices code review quality Help break down larger initiatives into well-scoped engineering tasks that can be implemented, reviewed, and delivered incrementally. Review code, mentor engineers, and raise the quality of backend implementation across the team. Debug complex production issues across services, databases, queues, APIs, infrastructure, and integrations. Contribute to architecture discussions and make pragmatic tradeoffs between speed, correctness, reliability, and long-term maintainability. Required Qualifications Strong professional experience as a backend software engineer building production enterprise software. Strong programming ability in Python. Experience designing and implementing backend services, APIs, background workers, and integration layers. Experience leading technical work for a small team, including design guidance, code reviews, mentoring, and delivery ownership. Strong understanding of service architecture, domain modeling, API contracts, and backend system design. Experience with relational databases, especially PostgreSQL or similar systems. Strong SQL and data modeling fundamentals. Experience working with ORMs and migration frameworks such as: SQLAlchemy Alembic Django ORM or comparable tool Experience building systems that run in production with real reliability, security, deployment, and operational constraints. Experience with cloud deployment patterns in AWS, Azure, GCP, or similar environments. Experience building or supporting software deployed outside of standard SaaS environments, such as: on-premises deployments private infrastructure customer-managed environments appliance-style deployments disconnected or restricted networks Ability to reason about system boundaries, failure modes, data consistency, observability, and operational support. Strong communication skills and comfort working across backend, platform, data, product, and domain teams. Ability to convert ambiguous requirements into practical engineering plans and working software. Strongly Preferred Experience with FastAPI, Flask, Django, or similar Python backend frameworks. Experience with Pydantic, OpenAPI, JSON Schema, protobuf, or other typed contract systems. Experience with asynchronous processing, message queues, event-driven systems, or workflow orchestration. Experience with containerized services using Docker, Kubernetes, or similar platforms. Experience building systems for regulated, security-sensitive, defense, government, financial, healthcare, or other enterprise environments. Experience with deployment models that require strong packaging, reproducibility, versioning, and offline installation support. Experience with observability tooling such as: structured logging metrics tracing health checks alerting service dashboards Experience with authentication, authorization, RBAC, audit logging, and secure service-to-service communication. Experience designing systems that integrate with external services, legacy systems, third-party APIs, simulators, data pipelines, or customer-owned infrastructure. Experience with geospatial systems, simulation systems, planning systems, logistics systems, or other complex operational domains. Experience helping teams establish engineering practices without adding unnecessary process or slowing delivery. Benefits 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 and public holidays) Flexible hybrid or remote work arrangement Relocation assistance for qualifying employees We are an equal opportunity employer. US Citizenship may be required for certain project assignments involving security clearance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Lead and build the communications function to drive awareness and credibility across multiple sectors. | Develop and execute PR strategy, build media and analyst relationships, manage executive visibility, and establish communications infrastructure. | About Code Metal Code Metal is redefining code translation for mission-critical industries, helping defense partners move more quickly and reliably from algorithm to silicon. Our platform accelerates deployment of DSP, RF, communications, and embedded signal processing algorithms onto heterogeneous compute targets, including GPUs, FPGAs, ASICs, and edge SoCs. We also support automotive, aerospace, and semiconductor partners deploying complex algorithms onto constrained hardware with speed and rigor. Director, Comms - Code Metal Reports to Head of Marketing Role Overview: We are looking for someone to build and lead Code Metal’s Communications function from the ground up, establishing the strategy, relationships, and operational infrastructure needed to drive awareness and credibility across government, commercial, and technology markets. This person will partner closely with company leadership to define the story only Code Metal can tell — translating complex technical innovation into compelling narratives that resonate with media, analysts, customers, investors, and industry influencers. We are looking for someone equally comfortable operating strategically and executing tactically: building long-term thought leadership programs while also managing rapid-response communications in a fast-moving environment. Key Responsibilities: Strategy & Planning • Develop and own the integrated PR strategy across government and commercial verticals, with distinct messaging tracks for each audience • Design and manage a rolling thunder cadence that keeps Code Metal consistently in the news cycle with a drumbeat of proof points, wins, partnerships, and milestones • Partner tightly with the Head of Marketing to align PR activity to pipeline goals, product launches, and campaign timing • Help define and evolve Code Metal’s core market narrative, articulating the differentiated story only the company can credibly tell at the intersection of AI, software modernization, and trust Media & Analyst Relations • Build relationships from scratch with key journalists across AI/ML, defense tech, enterprise software, and national security beats • Establish coverage in tier-1 targets (e.g. WSJ, FT, Bloomberg, Politico, Defense One, FCW, FedScoop, The Information) and key trade outlets relevant to Code Metal's sectors • Develop and manage relationships with relevant analysts (Gartner, Forrester, IDC, and government-focused firms) to drive inclusion in key reports and briefings Thought Leadership & Executive Visibility • Position Code Metal's executives as credible voices on AI, national security technology, software modernization, and related topics • Build and manage Code Metal’s newsroom, blog, and technical content platform to showcase research, engineering talent, product innovation, and customer impact • Build scalable executive visibility programs spanning media appearances, podcasts, video content, LinkedIn thought leadership, and internal/external executive communications • Secure speaking opportunities at high-value conferences across technology, government (e.g. AWS re:Invent GovCloud, AFCEA, DISA, SXSW Gov) and commercial tracks • Ghost-write and place bylines, op-eds, and contributed articles that build narrative authority over time Credibility & Awards • Identify and pursue strategic awards, rankings, and recognition programs (Fast Company, Forbes, FedScoop 50, etc.) that validate Code Metal's market position • Manage case studies and customer story development in partnership with sales and customer success, navigating the security/clearance constraints typical of government customers Infrastructure & Operations • Stand up the PR function: select and manage agency partners or freelancers, implement measurement frameworks, build a press room, and create repeatable processes for rapid response • Develop a crisis communications playbook appropriate for a company operating in sensitive government markets • Track and report PR impact tied to meaningful metrics — share of voice, coverage quality, analyst positioning, and contribution to pipeline What Success Looks Like (Year 1): • Rolling thunder calendar live and producing consistent earned coverage across government, commercial, and broader technology • Established relationships with 20+ target journalists and 5+ key analysts • Executive thought leadership program running with regular speaking engagements, byline placements, podcasts, video content, and media opportunities • Created a scalable communications function operating with clear processes, agency/freelancer support, strong media relationships, and a measurement dashboard Benefits • 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 and public holidays) • Flexible hybrid or remote work arrangement • Relocation assistance for qualifying employees We are an equal opportunity employer. US Citizenship may be required for certain project assignments involving security clearance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.