Who are we?

Antioch is the simulation platform for physical AI. We enable teams to develop, evaluate, and generate synthetic data for their physical systems in high-fidelity cloud simulation, accelerated by 3D-native agents.

With Antioch, teams create precision-calibrated digital twins, generate high-fidelity testing environments, and run massively-parallel simulation scenarios in the cloud. By moving development out of the field and into software, Antioch drastically reduces dependence on expensive, slow, and incomplete real-world testing.

We work with leading robotics, autonomy, and perception teams to make the deployment of physical autonomous systems safer, faster, and more cost-effective.

Who are we looking for?

We're hiring a Director of Engineering to lead the core engineering of the Antioch platform. This includes the cloud infrastructure, scheduling and orchestration, data systems, and developer experience that enable our customers to run GPU-accelerated simulations at scale. Critically, this also includes the necessary tooling to keep our infrastructure reliable, affordable, and backwards compatible as usage continues to scale.

This role sits on our leadership team. You'll define the technical direction, grow the team, and steer the engineering process itself. You'll also write a lot of code and build important parts of the system yourself.

This is not a good role for someone who wants to be a pure people manager. We want an exceptional leader who loves hard engineering work, gets their hands dirty, moves fast, and is excited to be here.

If you'd thrive in a fast-paced environment, such as Tesla or SpaceX, you'll likely thrive at Antioch.

What you'll do

Lead the core engineering team across infrastructure, backend, frontend, and developer experience, and ship critical platform components yourself.

Design and scale our GPU cloud platform, including scheduling and orchestration across GPU pools and clouds, large-scale data pipelining and storage, and complex networking.

Build the infrastructure for running large workloads reliably: distributed job execution and tracking, dataset and artifact versioning, and reproducible pipelines for our simulation, ML, and customer teams.

Own cost optimization, reliability, and scalability, including GPU utilization, compute spend, observability, on-call procedures, and incident response.

Hire excellent engineers and help them grow into high-agency team members that own systems end to end.

Help define how engineering works at Antioch, including code review, architecture decisions, releases, security and compliance, and planning.

Standardize how the Antioch team leverages coding agents to accelerate internal engineering work, and keep us at the frontier of agentic development.

Work with the founders and the simulation, ML, and GTM teams on the roadmap, and with customers on deployments, integrations, and escalations.

You'll work alongside Antioch's founders, simulation engineers developing physics and sensor models, ML engineers working on calibration and learned simulation, technical artists creating simulation environments, and platform engineers building Antioch’s core systems.

What we're looking for

You don't need to check every box. We're looking for strength in most of these areas:

5+ years in engineering, including experience leading engineering teams at fast-growing companiesy.

Hands-on experience building and running GPU-accelerated systems at scale in the cloud, such as ML training and inference platforms, render farms, batch simulation, or high-performance computing.

A strong background in MLOps and distributed systems: Kubernetes, distributed compute and job scheduling (Ray, Slurm, or similar), and data pipelines.

Good judgment on performance and cost at scale, including GPU utilization, capacity planning, and compute spend across clouds.

You still write code regularly. Deep fluency in Python. Fluency in Rust, C++, or Go is a plus.

A track record of hiring and developing great engineers, including experience with hiring process design.