Code Metal

Shield Capital · Supports Organization · kind

“Shield Capital is a venture capital firm investing in early-stage companies”

Code Metal · Supports Organization

“Verifiable code translation for industries where every line of code matters”

U.S. Securities and Exchange Commission · Mar 12, 2026 · Supports Funding round

“Total Amount Sold $ 122,999,688 USD”

FinSMEs · Feb 19, 2026 · Supports Funding round, Funding round · amount, Funding round · post money valuation usd, Organization · ownership

“The round was led by Salesforce Ventures, with participation from Accel, B Capital, Smith Point Capital, J2 Ventures, Shield Capital, Overmatch, and RTX.”

U.S. Securities and Exchange Commission · Nov 13, 2025 · Supports Funding round

“Total Amount Sold $ 36,474,898 USD”

CNBC · Nov 12, 2025 · Supports Funding round · amount

“has raised $36.5 million in a funding round led by Accel”

U.S. Securities and Exchange Commission · Jul 10, 2025 · Supports Funding round

“Total Amount Sold $ 6,500,000 USD”

U.S. Securities and Exchange Commission · Aug 1, 2024 · Supports Funding round

“Total Amount Sold $ 12,822,777 USD”

FinSMEs · Jul 23, 2024 · Supports Funding round, Funding round · amount

“The round was led by Shield Capital.”

U.S. Securities and Exchange Commission · Dec 20, 2023 · Supports Funding round

“Total Amount Sold $ 3,150,000 USD”

WIRED · Supports Funding round

“Code Metal is now valued on the private market at $1.25 billion”

Code Metal · Supports Funding round · amount

“[Boston, MA] Code Metal, the leader in verifiable code translation for mission-critical industries, today announced the close of its $125 million Series B financing led by Salesforce Ventures with participation from Accel, B Capital, Smith Point Capital, J2 Ventures, Shield Capital, Overmatch, RTX, and others.”

Code Metal · Supports Funding round · amount

“Code Metal today announced it has closed $36.5 million of funding for its Series A round to advance its goal of accelerating mission-critical industries with provably correct AI code translation. The round was led by venture capital firm Accel and values the company at $250 million.”

The SaaS News · Supports Funding round, Funding round · post money valuation usd

“The round was led by Accel, with participation from RTX Ventures, Bosch Ventures, Smith Point Capital, Overmatch VC, AE Ventures, Shield Capital, J2 Ventures, Fulcrum Venture Group”

Crunchbase via Bright Data · Supports Role · founders

“{"founders": [{"id": "alex-showalter-bucher", "type": "person", "value": "Alex Showalter-Bucher"}, {"id": "peter-morales-fefd", "type": "person", "value": "Peter Morales"}]}”

LinkedIn via Bright Data · Supports Organization · company size, Organization · founded, Organization · headquarters, Organization · logo, Organization · url, Organization metric · employees in linkedin, Organization metric · followers

“{"company_size": "51-200 employees"}”

LinkedIn via Bright Data · Supports Job posting · job listing

“{"company_id": "101825776", "company_name": "Code Metal", "company_url": "https://www.linkedin.com/company/code-metal?trk=public_jobs_topcard-org-name", "job_employment_type": "Full-time", "job_location": "Boston, MA", "job_posted_time": "3 months ago", "job_posting_id": "4425658738", "job_seniority_level": "Mid-Senior level", "job_summary": "About Code Metal Code Metal is the leader in automated software engineering you can trust. As AI writes more of the world's code, the bottleneck in software has shifted from writing code to verifying it works, and AI cannot verify its own work with certainty. Code Metal takes a fundamentally different approach: constrain AI to what it does reliably, verify every step independently of the model using formal methods, and keep engineers in the loop on the decisions that matter. The result isn't code that probably works — it's code that is provably correct, with auditable proof. Customers including the U.S. Air Force, L3Harris, RTX, and Toshiba use Code Metal to modernize legacy code, optimize performance on real hardware, and move prototypes to production, fast. Founded in 2023 with offices in Boston and San Francisco, Code Metal is funded by Accel, Salesforce Ventures, B Capital, Smith Point Capital, J2 Ventures, Shield Capital, Overmatch, RTX, and others. Learn more at codemetal.ai. The Role We are looking for an experienced software engineer to help us build a new generation of transpilation tools enabled by AI and modern verification techniques — bridging the gap between algorithm development and deployment to embedded systems. In this role you will lead the architecture and implementation of novel code generation pipelines that combine Generative AI, Static Analysis, and Formal Verification to translate code written in one language to another. We are open to two distinct backgrounds for this role: Path A — Compiler / Tooling You have built a compiler, interpreter, or substantial build tooling (e.g. a Cargo-like build system, a Clang plugin, an LLVM pass, a transpiler). You understand ASTs, IR design, and the full compilation pipeline. Path B — AI Agentic Product You have shipped a production AI agentic system — orchestrating LLMs with tool use, state machines, retrieval, or multi-step reasoning pipelines. You know where these systems break and how to make them reliable. If you fit either profile and are excited by the intersection of AI and systems programming, we want to talk. Responsibilities Define software architecture for Agentic AI pipelines — including state machines, orchestration layers, and LLM-integrated workflows. Build well-tested, extensible code foundations for code translation products, with a focus on correctness and maintainability. Collaborate with domain specialists to incorporate formal verification and static analysis methods into the code generation pipeline. Partner with software engineering and research teams to build robust code repositories and CI/CD processes. Architect and implement complex workflows spanning code parsing, semantic analysis, AI-assisted generation, and output validation. Required Requirements 7+ years of collaborative enterprise-level software development in C++ or Python, delivering products to a large customer base. Demonstrated experience gathering requirements from stakeholders and translating them into software designs. Track record of planning and executing large projects in a team-based setting. Strong software delivery fundamentals: code review, testing, CI/CD, release management, and build systems. Plus one of the following Compiler/tooling background: Hands-on experience building a compiler, transpiler, or substantial build tooling (e.g. a Cargo-equivalent, a custom linker, a language runtime). Deep familiarity with compiler infrastructure — Clang, LLVM, MLIR, or equivalent. Understanding of parsing, AST design, IR transformations, and code generation backends. AI agentic product background: Shipped production AI agentic systems — LLM orchestration, tool-use pipelines, multi-step reasoning, or autonomous code generation. Experience building reliable, observable AI workflows with structured outputs, retry logic, and evaluation frameworks. Familiarity with ML tools and frameworks (PyTorch, Hugging Face, LangChain, or similar). Preferred Requirements Experience with advanced software verification techniques such as fuzzing, symbolic execution, or formal verification (e.g. TLA+, Coq, Z3). Hands-on experience with embedded, heterogeneous (FPGA and/or GPU), or distributed systems. Familiarity with DSP, RF, communications, or other compute-intensive domains. Experience optimizing and deploying software on constrained or specialized hardware. Current security clearance, or ability to obtain one (US Citizenship required for cleared work). 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 Wage Transparency - The salary range for this role is not a guarantee of compensation or salary, as the final offer amount may vary based on factors including, but not limited to, individual proficiency, skills, experience, and location. 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. Show more Show less", "job_title": "Senior Software Engineer (Compiler & AI Tooling)", "timestamp": "2026-10-05T05:42:23.452Z"}”

LinkedIn via Bright Data · Supports Job posting · job listing

“{"company_id": "101825776", "company_name": "Code Metal", "company_url": "https://www.linkedin.com/company/code-metal?trk=public_jobs_topcard-org-name", "job_employment_type": "Full-time", "job_location": "San Francisco, CA", "job_posted_time": "2 months ago", "job_posting_id": "4425661709", "job_seniority_level": "Mid-Senior level", "job_summary": "About Code Metal Code Metal is the leader in automated software engineering you can trust. As AI writes more of the world's code, the bottleneck in software has shifted from writing code to verifying it works, and AI cannot verify its own work with certainty. Code Metal takes a fundamentally different approach: constrain AI to what it does reliably, verify every step independently of the model using formal methods, and keep engineers in the loop on the decisions that matter. The result isn't code that probably works — it's code that is provably correct, with auditable proof. Customers including the U.S. Air Force, L3Harris, RTX, and Toshiba use Code Metal to modernize legacy code, optimize performance on real hardware, and move prototypes to production, fast. Founded in 2023 with offices in Boston and San Francisco, Code Metal is funded by Accel, Salesforce Ventures, B Capital, Smith Point Capital, J2 Ventures, Shield Capital, Overmatch, RTX, and others. Learn more at codemetal.ai. The Role We are looking for an experienced software engineer to help us build a new generation of transpilation tools enabled by AI and modern verification techniques — bridging the gap between algorithm development and deployment to embedded systems. In this role you will lead the architecture and implementation of novel code generation pipelines that combine Generative AI, Static Analysis, and Formal Verification to translate code written in one language to another. We are open to two distinct backgrounds for this role: Path A — Compiler / Tooling You have built a compiler, interpreter, or substantial build tooling (e.g. a Cargo-like build system, a Clang plugin, an LLVM pass, a transpiler). You understand ASTs, IR design, and the full compilation pipeline. Path B — AI Agentic Product You have shipped a production AI agentic system — orchestrating LLMs with tool use, state machines, retrieval, or multi-step reasoning pipelines. You know where these systems break and how to make them reliable. If you fit either profile and are excited by the intersection of AI and systems programming, we want to talk. Responsibilities Define software architecture for Agentic AI pipelines — including state machines, orchestration layers, and LLM-integrated workflows. Build well-tested, extensible code foundations for code translation products, with a focus on correctness and maintainability. Collaborate with domain specialists to incorporate formal verification and static analysis methods into the code generation pipeline. Partner with software engineering and research teams to build robust code repositories and CI/CD processes. Architect and implement complex workflows spanning code parsing, semantic analysis, AI-assisted generation, and output validation. Required Requirements 7+ years of collaborative enterprise-level software development in C++ or Python, delivering products to a large customer base. Demonstrated experience gathering requirements from stakeholders and translating them into software designs. Track record of planning and executing large projects in a team-based setting. Strong software delivery fundamentals: code review, testing, CI/CD, release management, and build systems. Plus one of the following Compiler/tooling background: Hands-on experience building a compiler, transpiler, or substantial build tooling (e.g. a Cargo-equivalent, a custom linker, a language runtime). Deep familiarity with compiler infrastructure — Clang, LLVM, MLIR, or equivalent. Understanding of parsing, AST design, IR transformations, and code generation backends. AI agentic product background: Shipped production AI agentic systems — LLM orchestration, tool-use pipelines, multi-step reasoning, or autonomous code generation. Experience building reliable, observable AI workflows with structured outputs, retry logic, and evaluation frameworks. Familiarity with ML tools and frameworks (PyTorch, Hugging Face, LangChain, or similar). Preferred Requirements Experience with advanced software verification techniques such as fuzzing, symbolic execution, or formal verification (e.g. TLA+, Coq, Z3). Hands-on experience with embedded, heterogeneous (FPGA and/or GPU), or distributed systems. Familiarity with DSP, RF, communications, or other compute-intensive domains. Experience optimizing and deploying software on constrained or specialized hardware. Current security clearance, or ability to obtain one (US Citizenship required for cleared work). 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 Wage Transparency - The salary range for this role is not a guarantee of compensation or salary, as the final offer amount may vary based on factors including, but not limited to, individual proficiency, skills, experience, and location. 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. Show more Show less", "job_title": "Senior Software Engineer (Compiler & AI Tooling)", "timestamp": "2026-10-05T05:42:23.166Z"}”

LinkedIn via Bright Data · Supports Job posting · job listing

“{"company_id": "101825776", "company_name": "Code Metal", "company_url": "https://www.linkedin.com/company/code-metal?trk=public_jobs_topcard-org-name", "job_employment_type": "Full-time", "job_location": "Boston, MA", "job_posted_time": "1 month ago", "job_posting_id": "4444283240", "job_seniority_level": "Mid-Senior level", "job_summary": "About Code Metal Code Metal is the leader in automated software engineering you can trust. As AI writes more of the world's code, the bottleneck in software has shifted from writing code to verifying it works, and AI cannot verify its own work with certainty. Code Metal takes a fundamentally different approach: constrain AI to what it does reliably, verify every step independently of the model using formal methods, and keep engineers in the loop on the decisions that matter. The result isn't code that probably works — it's code that is provably correct, with auditable proof. Customers including the U.S. Air Force, L3Harris, RTX, and Toshiba use Code Metal to modernize legacy code, optimize performance on real hardware, and move prototypes to production, fast. Founded in 2023 with offices in Boston and San Francisco, Code Metal is funded by Accel, Salesforce Ventures, B Capital, Smith Point Capital, J2 Ventures, Shield Capital, Overmatch, RTX, and others. Learn more at codemetal.ai. About the Role: Our Modeling & Simulation team is building the next-generation wargaming and decision-support platform that helps the DoW make multi-billion-dollar force-design decisions before those decisions are made in the real world. The team spans simulation and physics, backend and data systems, frontend and geospatial visualization, and AI systems, working together to turn operational questions into extensible, mission- and campaign-level simulations that government users can trust. Help redefine how the DoW makes multi-billion-dollar force-design decisions. We're looking for a Physics Engine Programmer to bring the performance standards of commercial game development to our next-generation wargaming platform. You'll architect and build the core C++ simulation runtime that executes physics, behavior, and mission models developed by engineers and domain experts across the organization. Scope of ownership, architectural authority, and mentorship responsibility scale with level — see “Level Expectations by Track” below. Your work will span entity-component systems, data-oriented architecture, simulation scheduling, concurrency, deterministic execution, memory management, model integration, and engine-wide performance. The strongest candidates will come from commercial game development, game-engine development, or another performance-constrained real-time environment where frame time, memory, latency, stability, and hardware limitations are non-negotiable. You may have built a custom physics engine, owned core systems within a proprietary engine, or developed low-level physics and runtime infrastructure for a major game platform. Defense experience is not required. We care more about whether you have shipped real-time C++ systems, optimized them under hard performance budgets, and made foundational architectural decisions within a complex engine codebase. What You’ll Do: Architect and implement the core C++ runtime behind a large-scale, interactive wargaming platform. Own the structure, performance, and long-term health of a substantial engine codebase. Design and evolve an entity-component-system architecture for representing large numbers of heterogeneous simulation entities. Build data-oriented component storage, entity lifecycle management, system queries, execution graphs, and dependency-aware scheduling. Define the engine interfaces through which physics, AI, sensor, weapon, behavior, and environmental models are registered and executed. Create stable extension points that allow model developers to add capabilities without modifying or destabilizing the engine core. Design simulation loops, fixed and variable time stepping, event processing, system ordering, state transitions, and deterministic replay. Develop multithreaded and task-based execution systems that safely parallelize simulation workloads. Optimize memory layout, allocation, cache locality, component access, serialization, and data movement. Profile and improve CPU utilization, memory use, latency, throughput, and simulation rate against explicit performance budgets. Build spatial indexing, broad-phase query, collision-candidate, visibility, and proximity-query infrastructure. Integrate externally developed physics and mathematical models into a consistent, performant runtime. Develop checkpointing, snapshotting, state replication, save-and-restore, and reproducible replay systems. Establish clear architecture for networked and distributed simulation, including ownership, synchronization, prediction, and state transfer. Build tooling that allows model developers to inspect entities, debug system execution, profile model cost, and understand simulation state. Identify and eliminate architectural bottlenecks as simulation scale and model complexity increase. Lead engine design reviews, mentor other programmers, and raise the standard for C++ architecture and performance engineering. Remain deeply hands-on in implementation, profiling, debugging, and code review. Required Qualifications: Extensive professional C++ development experience, or equivalent experience, building performance-critical production software. Significant experience in commercial game development, game-engine development, or a similarly performance-constrained real-time environment. Experience shipping at least one commercial game, engine, platform, or interactive real-time product. Demonstrated ownership of foundational engine systems rather than primarily gameplay features, scripting, tools, or application-level integrations. Experience building or substantially extending a physics engine, game engine, simulation runtime, ECS, job system, or comparable core technology. Expert command of modern C++, including object lifetimes, ownership, templates, concurrency, synchronization, profiling, and low-level debugging. Strong understanding of data-oriented design, memory layout, cache behavior, allocation strategies, and performance-sensitive data structures. Experience designing or extending an entity-component system or comparable composition-based runtime architecture. Experience with engine loops, execution graphs, task systems, event systems, dependency management, or runtime scheduling. Demonstrated ability to optimize against hard CPU, memory, latency, and frame- or tick-time budgets. Experience using commercial profiling and debugging tools to diagnose CPU stalls, memory issues, thread contention, allocation problems, and cache inefficiencies. Working knowledge of real-time physics concepts such as coordinate systems, numerical integration, collision detection, spatial partitioning, constraints, and simulation stability. Experience designing APIs, plugin systems, SDKs, or extension frameworks used by other programmers. Experience maintaining and improving a large C++ codebase while continuing to deliver production capabilities. Experience leading major technical initiatives while remaining an active individual contributor. Active Secret clearance or eligibility to obtain one. Strongly Preferred: Experience with SIMD, GPU compute, custom allocators, job systems, lock-free structures, or platform-specific optimization. Experience supporting very large worlds or simulations containing large numbers of active entities. Experience with engine-level serialization, snapshotting, replay, world partitioning, or streaming. Familiarity with aerospace, robotics, autonomy, and defense simulations (e.g., HLA, DIS, OneSAF, JSAF, NGTS, STK, AFISM) Experience supporting Air Force, Space Force, joint, or broader DoW acquisition and mission-analysis programs. Experience developing models for sensors, weapons, electronic warfare, jamming, communications, logistics, or command and control. Active U.S. security clearance (Secret, Top Secret, or SCI/SAP). Senior Level Expectations Years of Experience: 5+ Engineering Craft & Code Quality: Writes clean, idiomatic, well-tested code and follows best practices; drives debugging of the team's hardest issues; ensures AI-assisted work is correct, modular, and fully tested. Architecture & Technical Knowledge: Designs and implements changes to single systems, collaborates on larger designs, and drives architecture reviews for multi-developer projects. Delivery, Scoping & De-risking: Works with Product to scope and de-risk work; provides reliable estimates for medium-sized projects with clear risk communication. Technical Leadership & Mentorship: A go-to technical reviewer for the team's codebase; mentors and onboards teammates; contributes to interviews and candidate experience. 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 Wage Transparency - The salary range for this role is not a guarantee of compensation or salary, as the final offer amount may vary based on factors including, but not limited to, individual proficiency, skills, experience, and location. 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. Show more Show less", "job_title": "Senior Physics Engine Programmer, C++(Modeling & Simulation)", "timestamp": "2026-10-05T05:42:22.576Z"}”

LinkedIn via Bright Data · Supports Job posting · job listing

“{"company_id": "101825776", "company_name": "Code Metal", "company_url": "https://www.linkedin.com/company/code-metal?trk=public_jobs_topcard-org-name", "job_employment_type": "Full-time", "job_location": "Boston, MA", "job_posted_time": "1 month ago", "job_posting_id": "4444286181", "job_seniority_level": "Mid-Senior level", "job_summary": "About Code Metal Code Metal is the leader in automated software engineering you can trust. As AI writes more of the world's code, the bottleneck in software has shifted from writing code to verifying it works, and AI cannot verify its own work with certainty. Code Metal takes a fundamentally different approach: constrain AI to what it does reliably, verify every step independently of the model using formal methods, and keep engineers in the loop on the decisions that matter. The result isn't code that probably works — it's code that is provably correct, with auditable proof. Customers including the U.S. Air Force, L3Harris, RTX, and Toshiba use Code Metal to modernize legacy code, optimize performance on real hardware, and move prototypes to production, fast. Founded in 2023 with offices in Boston and San Francisco, Code Metal is funded by Accel, Salesforce Ventures, B Capital, Smith Point Capital, J2 Ventures, Shield Capital, Overmatch, RTX, and others. Learn more at codemetal.ai. The Role We are looking for an experienced software engineer to help us build a new generation of transpilation tools enabled by AI and modern verification techniques — bridging the gap between algorithm development and deployment to embedded systems. In this role you will lead the architecture and implementation of novel code generation pipelines that combine Generative AI, Static Analysis, and Formal Verification to translate code written in one language to another. We are open to two distinct backgrounds for this role: Path A — Compiler / Tooling You have built a compiler, interpreter, or substantial build tooling (e.g. a Cargo-like build system, a Clang plugin, an LLVM pass, a transpiler). You understand ASTs, IR design, and the full compilation pipeline. Path B — AI Agentic Product You have shipped a production AI agentic system — orchestrating LLMs with tool use, state machines, retrieval, or multi-step reasoning pipelines. You know where these systems break and how to make them reliable. If you fit either profile and are excited by the intersection of AI and systems programming, we want to talk. Responsibilities Define software architecture for Agentic AI pipelines — including state machines, orchestration layers, and LLM-integrated workflows. Build well-tested, extensible code foundations for code translation products, with a focus on correctness and maintainability. Collaborate with domain specialists to incorporate formal verification and static analysis methods into the code generation pipeline. Partner with software engineering and research teams to build robust code repositories and CI/CD processes. Architect and implement complex workflows spanning code parsing, semantic analysis, AI-assisted generation, and output validation. Required Requirements 7+ years of collaborative enterprise-level software development in C++ or Python, delivering products to a large customer base. Demonstrated experience gathering requirements from stakeholders and translating them into software designs. Track record of planning and executing large projects in a team-based setting. Strong software delivery fundamentals: code review, testing, CI/CD, release management, and build systems. Plus one of the following Compiler/tooling background: Hands-on experience building a compiler, transpiler, or substantial build tooling (e.g. a Cargo-equivalent, a custom linker, a language runtime). Deep familiarity with compiler infrastructure — Clang, LLVM, MLIR, or equivalent. Understanding of parsing, AST design, IR transformations, and code generation backends. AI agentic product background: Shipped production AI agentic systems — LLM orchestration, tool-use pipelines, multi-step reasoning, or autonomous code generation. Experience building reliable, observable AI workflows with structured outputs, retry logic, and evaluation frameworks. Familiarity with ML tools and frameworks (PyTorch, Hugging Face, LangChain, or similar). Preferred Requirements Experience with advanced software verification techniques such as fuzzing, symbolic execution, or formal verification (e.g. TLA+, Coq, Z3). Hands-on experience with embedded, heterogeneous (FPGA and/or GPU), or distributed systems. Familiarity with DSP, RF, communications, or other compute-intensive domains. Experience optimizing and deploying software on constrained or specialized hardware. Current security clearance, or ability to obtain one (US Citizenship required for cleared work). 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 Wage Transparency - The salary range for this role is not a guarantee of compensation or salary, as the final offer amount may vary based on factors including, but not limited to, individual proficiency, skills, experience, and location. 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. Show more Show less", "job_title": "Senior Software Engineer (Compiler & AI Tooling)", "timestamp": "2026-10-05T05:42:22.549Z"}”

LinkedIn via Bright Data · Supports Job posting · job listing

“{"company_id": "101825776", "company_name": "Code Metal", "company_url": "https://www.linkedin.com/company/code-metal?trk=public_jobs_topcard-org-name", "job_employment_type": "Full-time", "job_location": "Greater Boston", "job_posted_time": "2 weeks ago", "job_posting_id": "4467477017", "job_seniority_level": "Mid-Senior level", "job_summary": "About Code Metal Code Metal is the leader in automated software engineering you can trust. As AI writes more of the world's code, the bottleneck in software has shifted from writing code to verifying it works, and AI cannot verify its own work with certainty. Code Metal takes a fundamentally different approach: constrain AI to what it does reliably, verify every step independently of the model using formal methods, and keep engineers in the loop on the decisions that matter. The result isn't code that probably works — it's code that is provably correct, with auditable proof. Customers including the U.S. Air Force, L3Harris, RTX, and Toshiba use Code Metal to modernize legacy code, optimize performance on real hardware, and move prototypes to production, fast. Founded in 2023 with offices in Boston and San Francisco, Code Metal is funded by Accel, Salesforce Ventures, B Capital, Smith Point Capital, J2 Ventures, Shield Capital, Overmatch, RTX, and others. Learn more at codemetal.ai. About the Role: Our Modeling & Simulation team is building the next-generation wargaming and decision-support platform that helps the DoW make multi-billion-dollar force-design decisions before those decisions are made in the real world. The team spans simulation and physics, backend and data systems, frontend and geospatial visualization, and AI systems, working together to turn operational questions into extensible, mission- and campaign-level simulations that government users can trust. Help redefine how the DoW makes multi-billion-dollar force-design decisions. We're looking for a Physics Engine Programmer to bring the performance standards of commercial game development to our next-generation wargaming platform. You'll architect and build the core C++ simulation runtime that executes physics, behavior, and mission models developed by engineers and domain experts across the organization. Scope of ownership, architectural authority, and mentorship responsibility scale with level — see “Level Expectations by Track” below. Your work will span entity-component systems, data-oriented architecture, simulation scheduling, concurrency, deterministic execution, memory management, model integration, and engine-wide performance. The strongest candidates will come from commercial game development, game-engine development, or another performance-constrained real-time environment where frame time, memory, latency, stability, and hardware limitations are non-negotiable. You may have built a custom physics engine, owned core systems within a proprietary engine, or developed low-level physics and runtime infrastructure for a major game platform. Defense experience is not required. We care more about whether you have shipped real-time C++ systems, optimized them under hard performance budgets, and made foundational architectural decisions within a complex engine codebase. What You’ll Do: Architect and implement the core C++ runtime behind a large-scale, interactive wargaming platform. Own the structure, performance, and long-term health of a substantial engine codebase. Design and evolve an entity-component-system architecture for representing large numbers of heterogeneous simulation entities. Build data-oriented component storage, entity lifecycle management, system queries, execution graphs, and dependency-aware scheduling. Define the engine interfaces through which physics, AI, sensor, weapon, behavior, and environmental models are registered and executed. Create stable extension points that allow model developers to add capabilities without modifying or destabilizing the engine core. Design simulation loops, fixed and variable time stepping, event processing, system ordering, state transitions, and deterministic replay. Develop multithreaded and task-based execution systems that safely parallelize simulation workloads. Optimize memory layout, allocation, cache locality, component access, serialization, and data movement. Profile and improve CPU utilization, memory use, latency, throughput, and simulation rate against explicit performance budgets. Build spatial indexing, broad-phase query, collision-candidate, visibility, and proximity-query infrastructure. Integrate externally developed physics and mathematical models into a consistent, performant runtime. Develop checkpointing, snapshotting, state replication, save-and-restore, and reproducible replay systems. Establish clear architecture for networked and distributed simulation, including ownership, synchronization, prediction, and state transfer. Build tooling that allows model developers to inspect entities, debug system execution, profile model cost, and understand simulation state. Identify and eliminate architectural bottlenecks as simulation scale and model complexity increase. Lead engine design reviews, mentor other programmers, and raise the standard for C++ architecture and performance engineering. Remain deeply hands-on in implementation, profiling, debugging, and code review. Required Qualifications: Extensive professional C++ development experience, or equivalent experience, building performance-critical production software. Significant experience in commercial game development, game-engine development, or a similarly performance-constrained real-time environment. Experience shipping at least one commercial game, engine, platform, or interactive real-time product. Demonstrated ownership of foundational engine systems rather than primarily gameplay features, scripting, tools, or application-level integrations. Experience building or substantially extending a physics engine, game engine, simulation runtime, ECS, job system, or comparable core technology. Expert command of modern C++, including object lifetimes, ownership, templates, concurrency, synchronization, profiling, and low-level debugging. Strong understanding of data-oriented design, memory layout, cache behavior, allocation strategies, and performance-sensitive data structures. Experience designing or extending an entity-component system or comparable composition-based runtime architecture. Experience with engine loops, execution graphs, task systems, event systems, dependency management, or runtime scheduling. Demonstrated ability to optimize against hard CPU, memory, latency, and frame- or tick-time budgets. Experience using commercial profiling and debugging tools to diagnose CPU stalls, memory issues, thread contention, allocation problems, and cache inefficiencies. Working knowledge of real-time physics concepts such as coordinate systems, numerical integration, collision detection, spatial partitioning, constraints, and simulation stability. Experience designing APIs, plugin systems, SDKs, or extension frameworks used by other programmers. Experience maintaining and improving a large C++ codebase while continuing to deliver production capabilities. Experience leading major technical initiatives while remaining an active individual contributor. Active Secret clearance or eligibility to obtain one. Strongly Preferred: Experience with SIMD, GPU compute, custom allocators, job systems, lock-free structures, or platform-specific optimization. Experience supporting very large worlds or simulations containing large numbers of active entities. Experience with engine-level serialization, snapshotting, replay, world partitioning, or streaming. Familiarity with aerospace, robotics, autonomy, and defense simulations (e.g., HLA, DIS, OneSAF, JSAF, NGTS, STK, AFISM) Experience supporting Air Force, Space Force, joint, or broader DoW acquisition and mission-analysis programs. Experience developing models for sensors, weapons, electronic warfare, jamming, communications, logistics, or command and control. Active U.S. security clearance (Secret, Top Secret, or SCI/SAP). Principal Level Expectations Years of Experience: 10+ Engineering Craft & Code Quality: Sets the quality and correctness bar across the department; their work is the example others learn from; improves the automated systems and practices that ensure quality department-wide. Architecture & Technical Knowledge: Provides architectural guidance across the department and invents paradigms that solve CodeMetal-specific domain problems (e.g., translation, optimization, deployment across target environments); a key resource on every major system. Delivery, Scoping & De-risking: A consistent contributor to the company's technical roadmap; gives reliable estimates for large cross-team initiatives; ensures pragmatic scoping toward the most valuable outcomes. Technical Leadership & Mentorship: An active driver of company-wide architectural reviews and proposals; mentors mid-level and senior staff at scale; influences others across departments toward the best technical outcome. 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 Wage Transparency - The salary range for this role is not a guarantee of compensation or salary, as the final offer amount may vary based on factors including, but not limited to, individual proficiency, skills, experience, and location. 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. Show more Show less", "job_title": "Principal Physics Engine Programmer, C++ (Modeling & Simulation)", "timestamp": "2026-10-05T05:42:24.633Z"}”