Senior Simulation Product Engineer

Nimble Robotics•San Francisco, CA

About The Position

We are seeking a senior, technically savvy Simulation Product Engineer to bridge the gap between our operational needs and the simulation platform. This is a critical technical role that uses the robotic fleet simulator as a tool for release assurance, issue triage, and strategic operational guidance.

Requirements

Bachelors or masters in computer science or electrical engineering, or equivalent experience
5+ years of experience in system validation, operations research, industrial engineering, or complex system modeling/simulation, preferably in robotics or automation.
Proven ability to define and manage complex system requirements, analyze large datasets, and use simulation outputs to drive critical business decisions.
Exceptional communication and cross-functional collaboration skills, with experience working directly with engineering, operations, and product teams.
A strong, data-driven problem-solver with a proven track record of using analysis to influence high-stakes operational and engineering changes.

Responsibilities

Requirement Management: Serve as the primary liaison to Operations and System Integration teams, understanding and curating complex operational and integration needs and translating them into clear, actionable robot fleet simulator requirements.
Development Partnership: Collaborate with the Simulator Development Engineer to define and document the simulator development requirement document.
Release Assurance & Quality Gate: Analyze simulator results and validate outputs from nightly simulation runs to confidently approve or block fleet control and robot software releases.
Issue Resolution & Triage: Utilize the simulator as the primary tool to triage and root-cause field issues reported from the Warehouse, driving necessary fleet SW, integration, and Robot SW changes based on analysis and findings.
Operational Alignment & Guidance: Work in lockstep with the operations team to minimize the discrepancy (sim-to-real gap) between simulation results and actual warehouse operations, ensuring the simulator is a reliable forecasting tool.
Strategic Volume Goal: Guide and support operations in configuration and setup changes for the warehouse to achieve and sustain the package handling volume goal.