Overview
On Site
USD 183,000.00 - 275,000.00 per year
Full Time
Skills
Artificial Intelligence
Algorithms
Operational Efficiency
Computer Hardware
Debugging
Computer Science
Data Processing
Statistics
Decision-making
C++
Python
Communication
Collaboration
SQL
Microservices
IoT
Job Details
Who We Are
Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world's most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver , to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.
About the Role
We are looking for engineers to make our bots come to life. Our Onboard System team's software engineers provide a reliable and high-performance platform that allows our autonomy teams to integrate their autonomy software and algorithms that work across various self-driving platforms. As a Fleet Diagnostics engineer on the Onboard System team, you will develop data pipelines and diagnostics tools aimed at improving the reliability and operational efficiency of vehicle software and hardware. This work requires close collaboration with our Software, Hardware, and Operations teams to identify and resolve reliability and operational efficiency problems.
About the Work
About You
Bonus Points
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $183,000 and $275,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP
Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world's most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver , to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.
About the Role
We are looking for engineers to make our bots come to life. Our Onboard System team's software engineers provide a reliable and high-performance platform that allows our autonomy teams to integrate their autonomy software and algorithms that work across various self-driving platforms. As a Fleet Diagnostics engineer on the Onboard System team, you will develop data pipelines and diagnostics tools aimed at improving the reliability and operational efficiency of vehicle software and hardware. This work requires close collaboration with our Software, Hardware, and Operations teams to identify and resolve reliability and operational efficiency problems.
About the Work
- Build data pipelines and diagnostics tools to improve the reliability and operational efficiency of vehicle software and hardware, in collaboration with other Software, Hardware and Operations teams.
- Develop onboard events and metrics framework and offboard analysis tools, and champion the adoption of the framework across software teams
- Use your expertise to debug hard-to-reproduce whole-system problems
About You
- BS in Computer Science or 4+ years of equivalent industry experience
- Experience with developing large-scale data processing pipeline
- Experience leveraging metrics and statistical analysis to inform decision-making and drive optimizations
- Strong knowledge of C++ and Python
- Good communication and collaboration skills
Bonus Points
- Experience using SQL with large-scale warehouses
- Experience developing modern microservice architectures
- Experience with vehicle, robot, or IoT device telemetry
- Familiarity with Autonomous Driving domain
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $183,000 and $275,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.