Staff Python Engineer (Modeling & Simulation) at Code Metal | CA, US | Rezi

Staff Python Engineer (Modeling & Simulation) at Code Metal

Staff Python Engineer (Modeling & Simulation)

Code Metal · CA, US

1 weeks ago

Staff Python Engineer (Modeling & Simulation)

Code Metal · CA, US

12 days ago
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About the Role

Code Metal is seeking a backend engineer to join their Modeling & Simulation team. This role involves building the Python services, pipelines, and tooling that drive the core wargaming simulation. You will design backend services and APIs that interface with the frontend, integrate with multiple simulators, manage data, and expose results to analysts, model developers, and government stakeholders. Scope of ownership, architectural authority, and mentorship responsibility scale with level.

Responsibilities

  • Design and implement backend services and APIs that orchestrate simulation runs, collect outputs, and expose results.
  • Build scenario-generation, operational and mission planning workflows, and services for sensitivity-analysis.
  • Build distributed, cloud-scale infrastructure for running simulations across various environments while preserving reproducibility and model provenance.
  • Build data ingestion, normalization, and analysis pipelines to transform raw simulation output into decision-ready insight.
  • Build scalable APIs (REST, GraphQL, gRPC) and containerized services connecting the Python tooling layer to the simulation runtime and downstream analysis tools.
  • Gather requirements from government stakeholders, domain experts, and analysts, and translate them into clear software designs.
  • Employ strong SDLC practices including code review, testing, continuous integration, release management, and build systems.

Requirements

  • Professional experience with collaborative, enterprise-level software development in Python, delivering products to a large customer base.
  • Experience gathering requirements from stakeholders and distilling them into software designs.
  • Experience building and delivering robust software using strong SDLC practices, including code review, testing, continuous integration, release management, and build systems.
  • Familiarity with machine learning tools and frameworks.
  • Expertise building scalable APIs (REST, GraphQL, gRPC).
  • Hands-on experience with Docker and containerized application development.
  • Eligible to obtain and maintain an active U.S. Top Secret security clearance.

Skills

  • Python
  • REST
  • GraphQL
  • gRPC
  • Docker
  • Machine Learning Tools and Frameworks
  • Cloud-based distributed systems (AWS, GCP, Azure)
  • Agentic AI frameworks
  • Code analysis / static analysis
  • HLAs
  • DIS
  • OneSAF
  • JSAF
  • NGTS
  • STK
  • Constructive and distributed simulation environments
  • Air Force
  • Space Force
  • DoD acquisition and mission-analysis programs
  • Sensor models
  • Weapon models
  • Electronic warfare models
  • Jamming models
  • Communications models
  • Logistics models
  • Command and control models

Location

  • Boston
  • San Francisco
  • Remote
  • Hybrid

Work Type

  • Hybrid
  • Remote

Experience Level

  • 7+ years

Salary/Compensations

  • Pay depends on experience, but we strive to be at the upper end of the salary range
  • 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.

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

About the Company

  • Code Metal is the leader in automated software engineering.
  • 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.
  • 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.

Equal Opportunity

  • 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.