Simulator Realism Software Engineer (Senior/Staff)

AutoX is a global leader in self-driving car technology, driven by our mission to "Democratize Autonomy" and accelerate the advent of fully driverless cars. Our cutting-edge self-driving cars are designed to tackle the most complex and dynamic traffic environments, from bustling city streets to ever-changing urban landscapes. In 2020, we became the second company to secure a fully driverless passenger vehicle permit in California — a key milestone in autonomy. With a world-class team of engineers and R&D centers across the U.S. and beyond, AutoX continues to innovate.

The Offboard Discovery & Realism org builds state of the art simulations of realistic environments for training of autonomous vehicle. We use machine learning to model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather. To guide the development of simulator realism components, we create metrics to measure realism, which are used to assess the quality of the simulator, identify sim2real gaps, and used as loss functions to train a more realistic simulator - which in turn is used to assess the quality of AutoX autonomous vehicle driver.

Join us to shape the future! Work with brilliant minds on technology transforming transportation and make a lasting impact.

Locations:

• San Jose, California, US (Salary Range: $75k—$300k USD)

Responsibilities:

• Improve software architecture of close-loop simulator to eliminate known realism gaps
• Develop fault injection framework to inject problematic sensor data and perception output, and inject failures of software modules
• Improve hardware-in-loop simulation realism
• Develop novel methods to measure sim realism in the context of several simulator tech and applications
• Develop systems that can automatically discover useful realism metrics to guide simulator development
• Collaborate with machine learning engineers and data scientists to use ML models to improve simulator and sim agents realism to power the evaluation of AutoX autonomous vehicle driver

Qualifications:

• Master degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 3+ years experiences working on robotics or simulation
• 3+ years experiences working on large scale software products and using advanced design patterns
• Strong modern C++ coding skills and system design skills
• Excellent communication, strong analytical thinking and problem-solving skills
• Experience in mentoring/influencing junior engineers

Preferred Skills:

• 3+ years experiences navigating a complex product space and setting technical roadmaps
• Experience leading cross-functional collaborations

How to Apply:

• Send an email with your resume to careers@autox.ai with Job ID: 110

AutoX is an equal employment opportunity employer, committed to maintaining a supportive and inclusive workplace for all employees. AutoX does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, genetic information or any other basis protected by applicable law in the respected countries.