Overview
On Site
USD 167,200.00 - 250,800.00 per year
Full Time
Skills
Art
Artificial Intelligence
Computer Hardware
Partnership
Collaboration
Regulatory Compliance
Forms
3D Computer Graphics
Modeling
Testing
Roadmaps
Algorithms
Computer Science
Statistics
Physics
Mathematics
Python
Evaluation
Machine Learning (ML)
Robotics
Job Details
Who We Are
Nuro exists to better everyday life through robotics. Founded in 2016, Nuro is a leading autonomous technology company with vehicles on road today in California and Texas. The company's core technology is the Nuro Driver, an integrated autonomous driving system consisting of state-of-the-art, AI-first software and custom-built sense and compute hardware. The first commercial application of the Nuro Driver is autonomous goods delivery with our custom, electric, zero-occupant vehicles in partnership with some of the most recognized brands in the world including Uber and FedEx.
About the Role
The Autonomy Evaluation team works closely with the Autonomy ML teams on one of the main challenges in autonomous driving: measuring and improving the quality of NuroDriver, our autonomous driving software. We develop evaluation systems that assess the safety, compliance, and service quality of NuroDriver to identify ways we can improve the performance of our ML and robotics systems.
This role can have any of the following forms (or the combination of any subset):
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 $167,200 and $250,800 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.
Nuro exists to better everyday life through robotics. Founded in 2016, Nuro is a leading autonomous technology company with vehicles on road today in California and Texas. The company's core technology is the Nuro Driver, an integrated autonomous driving system consisting of state-of-the-art, AI-first software and custom-built sense and compute hardware. The first commercial application of the Nuro Driver is autonomous goods delivery with our custom, electric, zero-occupant vehicles in partnership with some of the most recognized brands in the world including Uber and FedEx.
About the Role
The Autonomy Evaluation team works closely with the Autonomy ML teams on one of the main challenges in autonomous driving: measuring and improving the quality of NuroDriver, our autonomous driving software. We develop evaluation systems that assess the safety, compliance, and service quality of NuroDriver to identify ways we can improve the performance of our ML and robotics systems.
This role can have any of the following forms (or the combination of any subset):
- High-output Generalist working at the interface of infrastructure and robotics. Such a role would develop Robotics domain knowledge over time to eventually also perform the functions below.
- Robotics Expert working closely with the ML teams to develop targeted evaluation algorithms powered by classical robotics (e.g. 3D geometry or prediction algorithms), ML techniques (e.g. reward modeling), or statistical methods (e.g. hypothesis testing).
About the Work
- Design and deploy algorithms to measure the performance of the ML models that power our self-driving car's behavior, using robotics, physics, and machine learning.
- Work cross-functionally with ML and Infrastructure engineers to set the technical roadmap that will continuously improve and unify the evaluation frameworks across Nuro.
- Leverage the evaluation algorithms and frameworks our team builds to identify ways to improve the performance of NuroDriver and then drive the technical execution of such improvements.
About You
- BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area.
- 4 years of industry experience and demonstrated Python proficiency through past work.
- Proven ability to lead cross-functional technical projects from design to completion.
Bonus Points
- Experience developing evaluation frameworks, machine learning models, or robotics systems.
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $167,200 and $250,800 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.
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.