Senior Autonomy Simulation Platform Engineer

Archer; San Jose (CA); On-site; USD 195,000 - 235,000; Full time

Job summary

Archer, based in San Jose, California, is seeking a Staff Autonomy Engineer for its Simulation Platform to advance AI-enabled aviation. You will design simulation environments, vehicle dynamics, and sensor models, and lead the development of scalable orchestration and data-generation pipelines for training and validation of physical AI systems.

Ideal candidates have 5+ years in simulation or robotics, an MS/PhD in CS/Robotics (or exceptional BS), and a track record of building large-scale

Qualifications

• 5+ years in simulation, robotics, or backend infrastructure.
• MS/Ph.D. in Computer Science, Robotics, or related field, or exceptional BS candidates.
• Experience architecting simulation or orchestration/configuration layers across a large codebase.
• Experience building (tool selection, deployment, scaling) synthetic data and evaluation pipelines.

Responsibilities

• 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.

Job description

Archer, based in San Jose, California, is seeking a Staff Autonomy Engineer for its Simulation Platform to advance AI-enabled aviation. You will design simulation environments, vehicle dynamics, and sensor models, and lead the development of scalable orchestration and data-generation pipelines for training and validation of physical AI systems.

Ideal candidates have 5+ years in simulation or robotics, an MS/PhD in CS/Robotics (or exceptional BS), and a track record of building large-scale