Staff Physics Programmer, C++ (Modeling & Simulation)
Code Metal4 hours ago
Remote, United StatesStaff+
Responsibilities
- Architect and implement the core C++ runtime for a large-scale interactive wargaming platform.
- Own the structure, performance, and long-term health of the engine codebase.
- Design entity-component systems, data-oriented storage, execution graphs, scheduling, and simulation loops.
- Build multithreaded task systems, deterministic execution, event processing, checkpointing, replay, serialization, and state replication.
- Integrate physics and mathematical models and create stable APIs, plugins, SDKs, and extension points for model developers.
- Optimize CPU utilization, memory, latency, throughput, cache locality, allocation, and simulation rate against explicit performance budgets.
- Develop spatial indexing, collision-candidate, visibility, proximity-query, networked-simulation, and distributed-simulation infrastructure.
- Build tooling for inspecting entities, debugging execution, profiling model cost, and understanding simulation state.
- Lead engine design reviews and major technical initiatives, mentor programmers, and remain hands-on in implementation, profiling, debugging, and code review.
Requirements
- 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.
- Ownership of foundational engine systems such as a physics engine, game engine, simulation runtime, ECS, job system, or comparable core technology.
- Expert knowledge of modern C++, 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 with engine loops, execution graphs, task systems, event systems, dependency management, runtime scheduling, and APIs or extension frameworks.
- Demonstrated ability to optimize against CPU, memory, latency, and frame- or tick-time budgets using commercial profiling and debugging tools.
- Working knowledge of real-time physics concepts including coordinate systems, numerical integration, collision detection, spatial partitioning, constraints, and simulation stability.
- Experience leading major technical initiatives while remaining an active individual contributor.
- Active Secret clearance or eligibility to obtain one.
- Preferred qualifications include SIMD, GPU compute, custom allocators, job systems, lock-free structures, platform-specific optimization, large-world simulations, serialization, snapshotting, replay, streaming, and aerospace, robotics, autonomy, or defense simulation experience.
- Familiarity with HLA, DIS, OneSAF, JSAF, NGTS, STK, or AFISM and experience supporting Air Force, Space Force, joint, or broader DoW programs are preferred.
- Experience developing models for sensors, weapons, electronic warfare, jamming, communications, logistics, or command and control is preferred.
Benefits
- Health care plan with 100% premium coverage, including medical, dental, and vision.
- 401k with 5% matching.
- Paid time off with uncapped vacation, sick leave, and public holidays.
- Flexible hybrid or remote work arrangement.
- Relocation assistance for qualifying employees.
- The role is based at a company with offices in Boston and San Francisco, and US citizenship may be required for certain security-clearance project assignments.
Tech Stack
Categories
Gaming
About Code Metal
Code Metal builds an AI-assisted code transpilation and verification platform that translates algorithms into optimized implementations for heterogeneous hardware (GPUs, FPGAs, ASICs, and edge SoCs). It serves defense, automotive, aerospace, and semiconductor teams deploying DSP, RF, communications, and embedded signal-processing workloads to constrained devices. Privately held and founded in 2023, the company is headquartered in Boston, MA.