Staff Simulation Engineer – Modeling & Simulation

🔥 15 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

👷🏻‍♀️ Engineer

👻 Ghost score 25%

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Code Metal

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🚀 Aerospace

🚘 Automotive

🎖️ Defense

Aerospace • Automotive • Defense

Code Metal is a B2B software company that provides verifiable code translation and automated toolchains to convert high-level research/AI code into low-level, standards-compliant, production-ready software for mission-critical systems. It combines AI-guided translation, static analysis, automated test-generation (including MCDC), formal verification, and target-specific optimization to produce traceable, safety- and compliance-checked code (C/C++, Rust, VHDL, CUDA, OpenCL, etc. ) that can be deployed across chips and embedded platforms. The platform targets defense, aerospace, automotive, semiconductor and robotics customers who need guaranteed functional equivalence, safety compliance, and chip portability.

📋 Description

• Design and implement mission- and campaign-level simulation capabilities in modern C++ and Python • Build and extend event-driven, discrete-event, agent-based, and constructive simulation frameworks • Own core framework functionality, including event scheduling, simulation time, state transitions, platform abstractions, scenario execution, data collection, and deterministic replay • Develop models for platforms, sensors, weapons, communications, electronic warfare, jamming, command and control, logistics, and environmental effects • Extend AFSIM and comparable simulation environments through C++ plugins, framework services, SDK integrations, new platform types, and reusable model interfaces • Translate operational concepts, system specifications, and subject-matter expertise into maintainable software models with explicit assumptions and testable behavior • Modernize legacy campaign and mission-analysis tools and integrate them into a coherent simulation architecture • Build scenario-generation, Monte Carlo, sensitivity-analysis, campaign-execution, and evaluation workflows • Scale simulations across developer workstations, on-premises infrastructure, and cloud compute while preserving reproducibility and model provenance • Connect constructive simulations with distributed, operational, hardware-in-the-loop, or human-in-the-loop environments where appropriate • Establish verification and validation practices, reference scenarios, regression suites, and quantitative measures of model credibility • Work directly with government, Air Force, and broader DoD stakeholders to understand acquisition questions and deliver usable capabilities quickly • Collaborate with physics, backend, geospatial, AI, and product teams to integrate the simulation kernel into a larger interactive platform • Lead design and code reviews, mentor teammates, and improve architecture, documentation, testing, and release practices • At staff level, define and enforce testing standards, provide architectural guidance, own design documents for major projects, scope complex initiatives, audit technical risks, review high-impact work, lead technical grooming and RFCs, and coordinate across pods

🎯 Requirements

• Five or more years of professional software-development experience building simulation, autonomy, robotics, game-engine, digital-twin, or similarly complex systems • Strong production experience in modern C++, with proficiency in Python for tooling, orchestration, analysis, or automation • Hands-on experience developing or extending a simulation framework • Experience with event-driven, discrete-event, agent-based, constructive, or distributed simulation architectures • Demonstrated ability to represent complex real-world entities, interactions, rules, and edge cases as clear software abstractions • Experience building plugins, SDKs, reusable model interfaces, framework services, platform types, or similar extension mechanisms • Strong understanding of software architecture, data structures, algorithms, APIs, testing, debugging, and performance engineering • Experience making substantial changes within a large existing codebase while maintaining ongoing delivery • Experience with model verification, validation, calibration, or regression testing • Ability to turn ambiguous operational or technical requirements into executable engineering plans • Strong written and verbal communication skills, including the ability to document model assumptions, limitations, interfaces, and intended use • Bachelor's degree or equivalent experience in computer science, engineering, applied mathematics, operations research, physics, or a related discipline • Active Secret clearance or eligibility to obtain one • Direct experience developing AFSIM plugins, framework extensions, event infrastructure, or custom platform types is strongly preferred • Experience with behavior trees, finite state machines, and planning languages such as PDDL is strongly preferred • Experience supporting Air Force, Space Force, joint, or broader DoD acquisition and mission-analysis programs is strongly preferred • Experience developing models for sensors, weapons, electronic warfare, jamming, communications, logistics, or command and control is strongly preferred • Experience translating or modernizing a large legacy modeling or campaign-analysis system into C++ is strongly preferred • Experience designing a simulation framework, event stack, plugin architecture, or campaign system from the ground up is strongly preferred • Familiarity with HLA, DIS, OneSAF, JSAF, NGTS, STK, or other constructive and distributed simulation environments is strongly preferred • Experience spanning both operational and constructive simulation is strongly preferred • Active TS/SCI clearance is strongly preferred • Staff level expectation: 7+ years of experience

🏖️ Benefits

• 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