Modeling and Optimization Engineer, Mytra

• 3+ years of industry or relevant experience
• Strong proficiency in Python, including object-oriented design and building production-grade code
• Experience with discrete-event simulation, probabilistic modeling, or large-scale systems modeling
• Ability to design experiments, analyze data, and communicate insights clearly to technical and non-technical audiences
• Solid engineering fundamentals (systems thinking, algorithmic reasoning, version control, testing)
• You’re encouraged to apply even if you can’t take on every example project in its totality. We work closely and collaboratively at Mytra - No one takes on projects alone
• We seek people who are eager to work together, learn new things, and bring unique perspectives

Desirable

• You’ll build the simulation engines and models that drive our warehouse automation strategy
• This role blends software engineering, simulation, and systems modeling: you’ll design new capabilities, validate control policies, and help shape how our robots, storage logic, and orchestration behave at scale
• You’ll partner closely with engineering and product teams to turn open-ended questions into quantitative answers and production-ready tools
• Design and implement simulation models for warehouse systems, including autonomous vehicle travel, storage policies, SKU zoning, and pallet/tray retrieval flows
• Develop new simulation capabilities (Discrete event simulations components, routing logic, orchestration modules, etc.) within our internal simulation platform
• Work closely with Software, Solutions, and Product to prototype, test, and iterate on control policies
• Conduct structured simulation experiments, analyze results, and translate findings into actionable recommendations for product and operational strategy
• Contribute to core simulation platform development—model APIs, architecture, performance improvements, data pipelines, and automation tools
• Build repeatable modeling workflows, scenario configurations, and validation frameworks to ensure consistency across simulation studies