> Markdown version of [/jobs/ext/2660057-staff-engineer-autonomy-simulation-platform](https://www.wearedevelopers.com/jobs/ext/2660057-staff-engineer-autonomy-simulation-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Staff Engineer, Autonomy Simulation Platform

- **Company:** ARCHER
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $19,500.0 - $235,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Machine Learning, Systems Integration, Backend, Gaussian, Information Technology, Codebase
- **Published:** August 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=185e01c069603b5a

## About the Role

* 5+ years in simulation, robotics, or backend infrastructure
 * M.S./Ph.D. in Computer Science, Robotics, or related field, or equivalent (exceptional B.S. candidates considered)
 * Experience architecting simulation or orchestration/configuration layers across a large codebase
 * Experience building (tool selection, deployment, scaling) synthetic data and evaluation pipelines
 * Working knowledge of AI development methods (data flywheels, eval-driven iteration)
 * Comfort with ambiguity and evolving scopes
 * Interest in safety-critical, regulated engineering, * Neural rendering or generative AI for synthetic data (e.g. Gaussian Splatting)
 * Integrating heterogeneous data (satellite, GIS, camera, telemetry)
 * Simulation for embodied/physical AI (aerial, ground, indoor robotics)
 * Flight dynamics / 6-DOF simulation or aerospace M&S tools (JSBSim, X-Plane, AirSim, Gazebo)
 * Safety-critical or regulated engineering background (aerospace, automotive, medical devices)

## Description

As a Staff Autonomy Engineer on our Simulation Platform, you'll play a central role in bringing learned, intelligent behavior to real aircraft. You'll build the simulation and synthetic data platform used to test, evaluate, and train Physical AI systems-including VLA, VLN, and Perception models-supporting both real-world validation and ML training workflows.

What You'll Do:

 * Develop simulation environments, aircraft dynamics, sensor models, and the orchestration layer composing scenarios and missions
 * Build tooling for large-scale, procedural, automated scenario generation and rendering
 * Generate synthetic sensor and telemetry data for physical AI training via physics-based rendering
 * Define evaluation metrics that turn simulation output into data-driven decisions
 * Partner with flight test teams to keep simulated scenarios grounded in real-world conditions
 * Set platform architecture and roadmap ahead of team growth


## Related Videos

- [Enhancing AI-based Robotics with Simulation Workflows](https://www.wearedevelopers.com/videos/472-enhancing-ai-based-robotics-with-simulation-workflows)
- [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology)
- [WeAreDevelopers LIVE - Building The World’s Worst Image Editor™](https://www.wearedevelopers.com/videos/1836-wearedevelopers-live-building-the-world-s-worst-image-editor)
- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Why your codebase lies to AI?](https://www.wearedevelopers.com/videos/100281-why-your-codebase-lies-to-ai)
- [Confuse, Obfuscate, Disrupt: Using Adversarial Techniques for Better AI and True Anonymity](https://www.wearedevelopers.com/videos/1456-confuse-obfuscate-disrupt-using-adversarial-techniques-for-better-ai-and-true-anonymity)

## Related Articles

- [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)