2.92 Autonomy Engineer - Autonomy Development on Isaac Sims - Fieldai : Job Details

2.92 Autonomy Engineer - Autonomy Development on Isaac Sims

Join to apply for the 2.92 Autonomy Engineer - Autonomy Development on Isaac Sims role at Field AI.

This range is provided by Field AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$130,000.00/yr - $170,000.00/yr

About Field AI

Field AI is transforming how robots interact with the real world. We develop risk-aware, reliable, and field-ready AI systems for complex robotics challenges, deploying solutions globally and improving models through real-world applications.

Role Overview

We seek an Autonomy Engineer with expertise in perception and navigation for autonomous systems. You will focus on advancing methods that enable autonomous platforms to understand and operate in challenging environments.

Responsibilities

Develop algorithms to assess environmental conditions and support autonomous decision-making.

Design evaluation frameworks to measure perception and navigation system performance.

Integrate and analyze multi-sensor data to enhance situational awareness and risk assessment.

Create systematic validation approaches for system predictions across diverse scenarios.

Collaborate across perception, planning, and controls teams to develop benchmarks and performance metrics.

Qualifications

3+ years of industry experience or a Master's degree in Robotics, Computer Science, or related field.

Hands-on experience with autonomous perception, planning, system integration, and reliability evaluation.

Experience with simulation tools for autonomy testing and validation.

Familiarity with collaborative workflows, version control, automated testing, and cloud environments.

Strong analytical skills for interpreting test data and optimizing algorithms.

Preferred Skills

Experience deploying autonomous systems in real-world environments.

Background in building large-scale datasets for evaluation.

Understanding of uncertainty modeling in perception.

Contributions to open-source projects or research in autonomous systems evaluation.

Why Join Us?

We are solving complex challenges in deploying robots in unstructured environments. Our solutions set new standards in perception, planning, localization, and manipulation, ensuring safety and explainability.

Join a world-class team that values creativity, resilience, and bold thinking, with experience from leading organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Tesla, and SpaceX.

Join the Next Robotics Revolution

We seek innovative individuals who challenge the status quo and tackle tough, uncharted questions. Our team includes top AI talent, engineers, developers, designers, and deployment experts.

Located in Mission Viejo, CA, with a global team, we offer an exciting journey into the future of robotics.

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