Senior Software Engineer - Core Platform
Listed on 2026-09-05
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Software Development
AI Engineer (Applied/Software), Software Engineer, DevOps, Cloud Engineer - Software
Who are we?
Antioch is the agentic simulation platform for robotics and autonomy. We allow teams to design, train, and test their physical systems in high-fidelity cloud simulation, accelerated by 3D-native agents.
With Antioch, teams create precision-calibrated digital twins, generate testing environments, and run massively parallel simulation scenarios. 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 Platform Engineers to build the cloud infrastructure, customer-facing application, internal development tools, and agentic harness that power Antioch.
This is an early, high-ownership builder role: you’ll design and ship the systems that customers and internal teams depend on every day, from the orchestration layer running massively parallel sims to the web app where engineers author scenarios and review results. You’ll work across backend, frontend, infrastructure, and developer tooling.
If you like the 0 → 1 grind and want your work to directly determine whether autonomous systems succeed in the real world, you’ll fit right in.
What you’ll doBuild and operate the cloud infrastructure that runs Antioch’s cloud-based simulations: orchestration, scheduling, GPU pools, storage, and observability.
Build the customer-facing web app where teams author scenarios, manage runs, visualize and replay simulations, and review results.
Build internal tooling that lets simulation engineers, 3D artists, and customers move quickly: SDKs, CLIs, dashboards, and deployment pipelines.
Build the agentic harness that lets coding agents drive simulation work end to end: APIs, MCP servers, tool wrappers, evals, and the feedback loops agents need to iterate reliably.
Own performance, reliability, and cost: profile bottlenecks, reduce compute spend, and harden the system as customer load grows.
Partner directly with customers to integrate Antioch into their development workflows: APIs, CI hooks, data exchange, and authentication.
Communicate clearly with customers and internal teams about tradeoffs, constraints, and roadmap.
You’ll work alongside Antioch’s founders, simulation engineers building digital twins and sim tooling, and 3D technical artists producing platform assets.
What we’re looking forYou don’t need every box checked. We’re looking for strength in most of these:
Strong full-stack engineering background, with production experience designing and operating cloud systems (GCP/AWS/Azure, Kubernetes, container orchestration, data pipelines).
Deep fluency in Python. Fluency in Rust/C++ is a plus.
Comfort across the stack: backend services and APIs, plus modern web frontends.
Experience designing and shipping developer-facing products: SDKs, APIs, CLIs, or internal tools that other engineers depend on.
Strong instincts for performance, reliability, and observability: profiling, debugging distributed systems, and designing for failure.
Fluent use of coding agents (Claude, Codex, Cursor, and the like) as a force multiplier on top of strong engineering fundamentals, not as a substitute for them.
Interest in building agentic workflows: shipping things that LLMs and agents call into, with the evals and guardrails to make them reliable.
A track record of shipping production-ready systems, not just prototypes.
Experience operating GPU-heavy workloads (rendering, simulation, ML training)
Experience building MCP servers, agent tool interfaces, or LLM eval harnesses
Experience with 3D, graphics, or rendering pipelines
You’re in NYC or open to relocating
You’re a high-agency builder: you don’t wait to be told what to do, you go figure it out
You give a shit — you care deeply about what you ship and reflexively take accountability
You like the 0 → 1 environment and chose it on purpose
You balance craft and pragmatism: you push for excellence, but ship what’s needed now
You’re comfortable with uncertainty and love diving…
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