Senior Simulation Validation Engineer

Nimble Nimble•San Francisco, CA

About The Position

Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We’re training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain. We’ve raised over $220M at over $1B valuation and formed a strategic alliance with FedEx to build a national network of autonomous warehouses capable of generating many billions in annual revenue. We are a hardcore and obsessed team of the world’s best engineers and operators. If you are obsessed with your craft, enjoy a high-intensity and fast moving high impact environment, are super high agency in getting hard things done and want to be part of building the world’s most legendary robotics company at the most pivotal moment in history, we want to work with you. We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – powered by generalist superhumanoids. Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford’s AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles). Let’s be legendary. Why Join Nimble? At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce. Nimble's Core Values: Be relentlessly resourceful - Challenge conventions and overcome obstacles. Be legendary - Be the very best and do work that inspires. Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission. Be dependable - Take ownership and deliver with high agency. Role Summary We are seeking a senior, deeply analytical Senior Simulation Validation Engineer to leverage our robotics fleet simulator, A/B testing, and data metrics to drive business and customer intelligence. This critical role will bridge the gap between our operational needs, the simulation platform, and the executive team, and focus on release assurance, issue triaging, and driving operational strategy. If you thrive in a high ownership and cross-functional environment, this role is for you.

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

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.
Collaborate with the Simulator Development Engineer to define and document the simulator development requirement document.
Analyze simulator results and validate outputs from nightly simulation runs to confidently approve or block fleet control and robot software releases.
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.
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.
Guide and support operations in configuration and setup changes for the warehouse to achieve and sustain the package handling volume goal.