Senior Simulation Engineer, Physical AI

Investment ProfileSeed-stage infrastructure company in New York building core developer tooling for the next generation of physical AI systems.The company is developing an AI-native platform that enables engineering teams to model, validate, and iterate on complex real-world systems entirely in software before deployment. Their customers solve difficult engineering problems where correctness, fidelity, and iteration speed directly impact real-world outcomes.The founding team has deep experience building AI, autonomy, and large-scale software systems and is assembling an exceptionally technical, in-person engineering team in NYC.SummaryThis isn't a traditional simulation engineering role.The company is looking for engineers who enjoy taking messy, incomplete real-world systems and turning them into software that people can trust.You'll work across systems engineering, software infrastructure, sensing, calibration, developer tooling, performance, and customer problems. Some weeks you'll be building core platform capabilities. Others you'll be working directly with customers to understand why reality doesn't quite match the model and building the tooling needed to close that gap.If you enjoy difficult technical problems, high ownership, and building foundational technology from scratch, this is one of the more interesting opportunities we've seen in physical AI.What You'll OwnDesigning and building high-fidelity software models of complex physical systemsDeveloping platform capabilities for modeling, calibration, validation, and testingTranslating noisy real-world data into reliable software abstractionsImproving system correctness, determinism, scalability, and performanceBuilding engineering tooling that accelerates customer onboarding and deploymentWorking directly with customers to solve difficult technical problemsHelping shape the technical direction of an early platform companyYou'll work closely with the founders and early engineering team across platform engineering, infrastructure, AI, and customer deployments.What We're Looking ForYou likely have experience with several of the following:Building simulation, robotics, perception, autonomy, computer vision, or other complex engineering systemsDeveloping production software in Python (Rust or C++ is a plus)Working with physical systems, sensing technologies, calibration, system identification, or quantitative validationBuilding developer tooling, infrastructure, or platform software used by other engineersShipping production-quality engineering systems rather than research prototypesOperating effectively in ambiguous, fast-moving startup environmentsExperience with modern robotics simulation platforms, digital twins, physics engines, or related technologies is highly relevant, but we're primarily looking for exceptional systems engineers who enjoy difficult technical problems and learning new domains.Prior startup experience is a strong plus.Our ideal candidate has high agency, cares deeply about engineering quality, and enjoys owning difficult technical problems from first principles through production.About UsGreylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. Learn more at https://greylock.com/How We WorkWe are full-time, salaried employees of Greylock and provide free candidate referrals and introductions to our active investments. This posting is for direct employment with one of our portfolio companies. We review every application and reach out directly when we believe there's a strong potential fit.