Mapping & Localization – Co-Op Software Engineer Localization

Meet the team: 

The Localization team is responsible for fusing a variety of run-time input sources to refine position estimates and make static world elements usable by the Autonomous Driving Stack.

What you’ll do:  

We are seeking an Localization Software Engineer - Co-Op to help develop software that enables L4+ (driver out) autonomous driving.

As part of the localization team, you will be able to  

• Execute full software development lifecycle activities using C++, including prototyping and deploying robust and reliable solutions. 
• Analyze and develop the current information fusion, motion estimation, and static world modeling algorithms, ensuring our self-driving vehicles have the most accurate position estimates and static world representation around the vehicle to drive safely and smoothly on the road.
• Test developed algorithms in both simulation and live on our trucks.
• Research the state-of-the-art information fusion algorithms
• Apply and refine your algorithm design and programming skills.
• Integration of software standards and safety requirements into the software 
• Collaborate with a creative team of engineers and researchers to solve multi-disciplinary problems. 
• Improve how our vehicles act and react in complex and nuanced situations. 

What you’ll need to Succeed: 

• Bachelors of Science with relevant education experience in computer engineering, computer science, robotics, automotive systems, or related technical field  
• 2+ years of experience (including academic) writing code using modern C++ on Linux   
• Proficient understanding of 3D geometry and transforms, probability, statistics, probabilistic modeling, and linear algebra  
• Ability to implement algorithms efficiently and in a well-organized software architecture
• Excellent communication skills in technical approaches, fluency in English would be desired 
• Proactive team spirit and open communication 

Bonus Points: 

• Previous industry experience OR MS in relevant topic 
• Proficient with ROS (Robot Operating System)
• Experience with Python, machine learning, and working with large data sources
• Experience working with HD maps

Additional Details:

• Start Date: Fall 2023
• Time Frame: August or September to December 15^th, 2023
• Potential to extend through May 2024.
• Location(s): Remote, Hybrid; Austin, Texas; Blacksburg, VA; Albuquerque, NM
• Pay Transparency: The rate visible on the posting is for a masters degree. Compensation subject to change based on degree.