Head of Engineering (GPU Infrastructure / HPC)

Head of Engineering (GPU Infrastructure / HPC)

If you are considering sending an application, make sure to hit the apply button below after reading through the entire description.
Investment ProfileGreylock-backed company in New York building a cloud simulation platform for robotics, autonomy, and physical AI.
The platform helps engineering teams develop and evaluate autonomous systems, generate synthetic data, and test thousands of scenarios before deploying changes to physical hardware. It combines calibrated digital twins, realistic environments, and AI agents to reduce dependence on expensive, slow, and incomplete real-world testing.
SummaryWe’re looking for a highly technical engineering leader to own the core platform powering GPU-accelerated simulation at scale.
You’ll lead engineering across cloud infrastructure, backend, frontend, and developer experience. As a member of the leadership team, you’ll set technical direction, grow the team, and shape how engineering operates. You’ll also write substantial production code and build critical systems yourself.
The technical challenge spans GPU scheduling, distributed workload execution, large-scale data pipelines, storage, and networking. You’ll make these systems reliable and cost-efficient as usage grows, while preserving compatibility for customers who depend on the platform.
Strong candidates may come from ML training or inference infrastructure, GPU cloud platforms, high-performance computing, render farms, or large-scale simulation systems. Direct robotics experience is helpful, but hands-on experience operating GPU systems at scale is central to the role.
This role is based in New York City and requires working in person. Candidates willing to relocate are welcome.
What You’ll OwnTechnical direction and delivery across the core platform, including personally implementing critical componentsGPU scheduling and orchestration across compute pools and cloud providersDistributed job execution, workload tracking, data pipelines, storage, and reproducible workflowsDataset and artifact versioning for simulation, ML, and customer workloadsReliability, observability, incident response, capacity planning, GPU utilization, and compute costsHiring and developing engineers who can own systems end to endEngineering practices across architecture, code review, releases, planning, security, and complianceAdoption of coding agents and agentic development tools across the engineering team
You’ll work closely with the founders, simulation and ML teams, and go-to-market leaders on product priorities. You’ll also engage directly with customers on deployments, integrations, and technical escalations.
What We’re Looking ForYou likely have experience:Building software for at least five years, including leading engineering teams at fast-growing companiesBuilding and operating GPU-accelerated cloud systems at scaleWorking deeply with distributed systems, MLOps, Kubernetes, data pipelines, and compute scheduling tools such as Ray or SlurmMaking practical performance and cost decisions across GPU utilization, capacity, and cloud infrastructureWriting production code regularly, with deep fluency in PythonHiring and developing strong engineers and improving the hiring processUsing coding agents and agentic tooling with the engineering judgment to review, debug, and validate their outputCommunicating clearly with engineers, customers, and company leadership
Experience with Rust, C++, or Go is a plus.
Other useful backgrounds include robotics or simulation, developer tools such as SDKs and CLIs, enterprise security and deployment requirements, and agent infrastructure such as MCP servers or evaluation harnesses.
We’re less interested in titles than in technical credibility, ownership, and the ability to lead through direct involvement in the work.
The environment favors urgency, initiative, and accountability. You should enjoy working through incomplete requirements, staying close to customers, and balancing engineering quality with what needs to ship now.
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. More can be found about us here: We WorkWe are full-time, salaried employees of Greylock and provide free candidate referrals/introductions to our active investments. We will contact anyone who looks like a potential match to schedule an initial call.
Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of our investments.
Please note: We are not recruiting for any roles within Greylock at this time. xzbcwsv This job posting is for direct employment with a startup in our portfolio.