Sr. Simulation & Model Training Engineer - Drone Autonomy (AI2531)

This position requires a full-time, on-site presence in our San Jose, CA office.

About the role

SiMa.ai provides high-performance computing for autonomous robotics. In this role, you will bridge virtual testing and real-world flight by building realistic simulation environments and training models for reliable deployment on physical drone hardware.

Responsibilities

• Simulation & Synthetic Data — Create physics-based virtual environments and sensor models to generate high-fidelity synthetic datasets for robust model training.
• Model Development — Design and refine AI architectures for perception, navigation, and multi-sensor fusion specifically for autonomous flight.
• Edge Optimization — Optimize deep learning models to run efficiently on specialized, power-constrained edge hardware.
• Validation — Establish automated testing pipelines that use real-world flight data to validate and improve sim-to-real performance.

Requirements

• 5+ years of experience in robotics, simulation, and training deep learning models for physical hardware.
• Proven expertise in simulation platforms, sensor modeling, and flight dynamics.
• Experience optimizing and deploying AI models to power-constrained edge devices.
• Proficiency in modern programming languages (C++, Python) and robotics middleware (ROS).
• Background in drone navigation, flight controllers, or aerial autonomy is highly preferred.
• Degree in Computer Science, Robotics, Aerospace, or a related engineering field.

Personal Attributes

• Can-do attitude.
• Strong team player.
• Curious, creative, and good at solving problems.
• Execution and results-oriented.
• Self-driven, thinks big, and is highly accountable.
• Good communication skills.

Pay

The annual salary for this position ranges from $120,800 - $193,300. The actual annual salary offered will depend on several factors, including job-related skills, experience, technical expertise, qualifications, work location, and business needs. In addition to base salary, this role is eligible for private company equity and a comprehensive package of employee benefits.