Senior Simulation Engineer - Digital Twin for Robotics

Cssmerge; Pittsburgh (Allegheny County); On-site; USD 159,000 - 201,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k)

Health Savings Account (HSA)

Paid time off

Life and disability insurance

Job summary

Lab37 Robotics, a technology company focused on robotic food production, is building a digital twin to design and scale robotic systems. You will own simulation direction, select tools, set standards, and validate models against operating data in Pittsburgh.

You will collaborate with hardware and robotics teams to turn complex systems into decision-ready insights that shape product development and kitchen performance.

Qualifications

• Bachelor's degree in Industrial Engineering, Operations Research, Statistics, Computer Science, or a related quantitative field; advanced degree a plus.
• 3+ years of relevant work experience in simulation, industrial engineering, operations research, or data science.
• Hands-on discrete-event simulation experience (e.g., AnyLogic, Simio, SimPy, Arena, or custom engines). This is the core of the role.
• Track record of models that drove real design or operational decisions, not analysis alone.
• Strong analytical and statistical rigor, with the ability to model complex, constraint-driven systems end to end and validate them against imperfect real-world data.
• Strong programming skills (e.g., Python, SQL) and the ability to build and maintain simulation tooling.
• Comfort partnering directly with hardware and robotics engineers and working from telemetry and operational data.

Responsibilities

• Build discrete-event simulation models of the Bowl Builder and other robots, covering dispensing, timing, module configuration, and throughput under realistic demand.
• Characterize the stochastic inputs the models depend on, deriving distributions for order arrivals, dispense timing, error and failure rates, and driver arrival times from operational data.
• Extend beyond a single robot toward a digital twin of the broader kitchen ecosystem, including multi-station flow, prep, and labor.
• Evaluate “build versus buy” across commercial platforms such as AnyLogic and Simio as well as in-house approaches, consolidate existing efforts, and set the modeling standards.
• Validate models against real operational and telemetry data, including working through known gaps in sensor fidelity, so that predictions are trusted enough to act on.

Skills

Discrete-event simulation

Python

SQL

Simulation tooling

Education

Bachelor's degree in quantitative field

Advanced degree a plus

Tools

AnyLogic

Simio

SimPy

Arena

Custom engines

Job description

Lab37 Robotics, a technology company focused on robotic food production, is building a digital twin to design and scale robotic systems. You will own simulation direction, select tools, set standards, and validate models against operating data in Pittsburgh.

You will collaborate with hardware and robotics teams to turn complex systems into decision-ready insights that shape product development and kitchen performance.