Software Engineer, Simulation

Responsibilities

• Design and maintain a low-fidelity discrete event simulation platform modeling lab workflows, instrument states, and robotic transport
• Architect the platform so production scheduling and fleet coordination code runs with minimal changes
• Build experiment tracking and reproducibility infrastructure for logging and versioning runs
• Develop tooling for parameter sweeps, scheduler benchmarks, and capacity planning
• Partner with Scheduling and Robotics teams to validate new strategies
• Ship clean, well-documented simulation APIs

Requirements

• 1-3 years of experience in simulation engineering, operations research, or a related field
• Strong software engineering fundamentals including testing, CI/CD, and API design
• Understanding of experiment reproducibility (seeding, versioning, logging)
• Solid grasp of system modeling concepts like queuing, resource contention, and stochastic behavior
• Strong communication skills

Preferred Qualifications

• Practical experience with discrete event simulation (e.g. SimPy)
• Experience designing internal developer tools or platforms
• Experience in robotics, warehousing, or logistics environments
• Familiarity with scheduling algorithms or heuristics
• Experience with experiment tracking platforms like MLflow or Weights & Biases

Benefits

• Medical, dental, and vision coverage
• Employer-paid life and disability insurance
• Flexible time off and generous holidays
• Paid parental leave
• Educational assistance program
• Commuter benefits and company subsidized lunch program

About the Company

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously.