Senior Drone Autonomy: Simulation & Model Training Engineer

SiMa.ai; San Jose (CA); On-site; USD 121,000 - 193,000; Full time

Benefits offered by this job

Equity compensation

Comprehensive benefits package

Job summary

SiMa.ai is seeking a Sr. Simulation & Model Training Engineer for drone autonomy in San Jose, CA. You will build realistic simulation environments and train models for autonomous flight using C++, Python, and ROS, with a focus on sim-to-real deployment on edge hardware.

The role requires 5+ years in robotics, strong expertise in simulation platforms and sensor modeling, and the ability to optimize AI for power-constrained devices. On-site in San Jose with equity and comprehensive benefits.

Qualifications

• 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 C++, Python and ROS.
• Background in drone navigation, flight controllers, or aerial autonomy is highly preferred.

Responsibilities

• Create physics-based virtual environments and sensor models to generate high-fidelity synthetic datasets for robust model training.
• Design and refine AI architectures for perception, navigation, and multi-sensor fusion for autonomous flight.
• Optimize deep learning models to run efficiently on power-constrained edge hardware.
• Establish automated testing pipelines using real-world flight data to validate and improve sim-to-real performance.

Skills

Drone autonomy

Robotics simulation

Edge AI

C++

Python

ROS

Education

Bachelors in CS/Robotics/Aerospace

Tools

ROS

Job description

SiMa.ai is seeking a Sr. Simulation & Model Training Engineer for drone autonomy in San Jose, CA. You will build realistic simulation environments and train models for autonomous flight using C++, Python, and ROS, with a focus on sim-to-real deployment on edge hardware.

The role requires 5+ years in robotics, strong expertise in simulation platforms and sensor modeling, and the ability to optimize AI for power-constrained devices. On-site in San Jose with equity and comprehensive benefits.