Senior Simulation Engineer
About The Position
Lab37 Robotics is seeking an industrial engineer with expertise in discrete-event simulation to optimize robotic food-production systems. The role involves modeling end-to-end production flow, including equipment, labor, material movement, queues, capacity, and operating policies, to identify bottlenecks, evaluate system designs, and inform capital and operational decisions. The models will span from the Bowl Builder to the full kitchen, aiding in understanding tradeoffs and making informed decisions about future development. This senior/staff-level individual contributor role will lead the industrial engineering simulation efforts at Lab37, encompassing tool selection, modeling standards, time studies, empirical input characterization, model validation, and integration into planning. Collaboration with hardware, robotics, and operations teams in Pittsburgh is key to transforming complex physical systems into reliable decision-making tools.
Requirements
- Bachelor's or advanced degree in Industrial Engineering or Operations Research is required; related quantitative degrees considered with substantial operations-simulation experience.
- 3+ years of relevant experience in industrial engineering, operations research, manufacturing systems, or discrete-event simulation.
- Hands-on discrete-event simulation experience (e.g., AnyLogic, Simio, SimPy, Arena, or custom engines), plus deep knowledge of production systems, process flow, queueing, capacity analysis, line balancing, time studies, and design of experiments.
- Track record of models that drove equipment, process, facility, staffing, or operational decisions.
- Ability to model complex, constraint-driven production systems end to end and validate them against imperfect real-world data.
- Working proficiency in Python and SQL sufficient to build, analyze, and maintain simulation models and tooling.
- Ability to partner directly with operations, manufacturing, hardware, and robotics engineers and communicate assumptions, uncertainty, and recommendations.
Nice To Haves
- Experience applying industrial-engineering methods in manufacturing, automation, fulfillment, food production, or other high-throughput operations.
- Experience building digital twins of physical production or manufacturing systems.
- Experience with facility layout, material handling, labor modeling, staffing, or ergonomic analysis.
- Experience working with real-time operational or telemetry data in production environments.
- Experience in food service, on-demand delivery, or just-in-time manufacturing systems.
Responsibilities
- Build discrete-event simulation models of the Bowl Builder and broader kitchen systems, representing equipment, labor, material flow, queues, buffers, failures, and operating policies under realistic demand.
- Map production processes, conduct time studies, and characterize stochastic inputs—including order arrivals, cycle and setup times, failures and repairs, driver arrivals, demand, and labor variability—from operational data.
- Extend models from a single robot to end-to-end, multi-station kitchen flow, including prep, fulfillment, labor, material movement, queues, and buffers.
- Evaluate commercial platforms such as AnyLogic and Simio alongside SimPy, Arena, and in-house approaches; consolidate existing efforts and establish modeling standards.
- Validate models against operational results and telemetry, including known gaps in sensor fidelity, so predictions are accurate and trusted enough to guide decisions.
- Conduct capacity planning, bottleneck analysis, line balancing, equipment sizing, and facility-layout studies.
- Evaluate workflow, staffing, shift, buffer, and operating-policy alternatives that are costly or risky to test live, and set performance requirements for proposed robots and modules.
- Quantify throughput, cycle time, work in process, utilization, yield, downtime, service level, and cost tradeoffs; use the results to recommend kitchen configurations and process improvements.
- Partner closely with operations, manufacturing, hardware, and robotics engineering to ground models in how systems actually behave and feed results back into design and operating decisions.
- Translate simulation and industrial-engineering findings into clear, decision-ready recommendations.
- Communicate complex modeling to technical and non-technical stakeholders, with explicit assumptions, uncertainty, and operational implications.
Benefits
- Medical, dental, and vision insurance (multiple plans, incl. HSA options).
- Company-paid life and disability insurance (short- and long-term).
- Voluntary insurance: accident, critical illness, hospital indemnity.
- Optional supplemental life insurance for self, spouse, and children.
- Pet insurance discount.
- 401(k).
- Health Savings Account (HSA)
- Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
- Discretionary vacation days
- 8 paid holidays per year
- Paid sick time
- Paid Bereavement leave
- Paid Parental Leave
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What This Job Offers
Job Type
Full-time
Career Level
Senior
