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Technical Lead Manager, Autonomy Evaluation and Intelligence

NuroMountain View, California (HQ)
On-site Full-time $235K/yr - $352.3K/yr

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Experience Level

Manager

Qualifications

We are searching for a leader with exceptional technical judgment and the ability to motivate a top-tier engineering team. Suggested Qualifications:Education: BS, MS, or PhD in Computer Science, Robotics, Statistics, Physics, Mathematics, or a related quantitative discipline. Experience: 7+ years of industry experience with a demonstrated ability to foster team success through proactive mentorship and cross-functional collaboration. Technical Expertise: Strong domain knowledge in AI/ML, robotics, and/or large-scale evaluation systems, with the capability to assess intricate trade-offs and apply superior technical judgment.

About the job

Who We Are

Nuro is at the forefront of self-driving technology, dedicated to democratizing access to autonomy. Established in 2016, our mission is to create the world's most scalable self-driving system by integrating advanced AI with automotive-grade hardware. We license our flagship technology, the Nuro Driver™, across various applications including robotaxis, commercial fleets, and personal vehicles. With years of proven success in self-driving deployments, Nuro paves the way for automakers and mobility platforms to achieve commercial-scale autonomous vehicles, contributing to a safer, more connected future.

About the Role

We are seeking an innovative Autonomy Leader to spearhead the technical roadmap for the systems that validate and verify the intelligence of the Nuro Driver. You will lead the creation of evaluation tools that ensure our technology can scale safely to millions of users. This role involves addressing real-world robotics challenges and enhancing everyday lives by bridging the divide between simulation and reality.

  • Intelligent Agents: Design and implement advanced evaluation agents that simulate complex interactions.
  • Intelligent Metrics: Develop sophisticated algorithms to measure the cognitive performance of the machine learning models that govern our self-driving car's behavior, leveraging physics-based modeling and machine learning.
  • Close the Learning Loop: Utilize these evaluation frameworks to pinpoint specific behavioral weaknesses in the Nuro Driver, leading technical execution to enhance the agent's decision-making logic.

Define the Technical Architecture: Collaborate with Autonomy and Infrastructure engineers to establish a cohesive roadmap that integrates evaluation frameworks, progressing towards automated, data-driven validation.

About Nuro

Nuro is a pioneering self-driving technology company committed to making autonomous driving accessible to everyone. Our innovative approach combines cutting-edge technology with real-world applications, setting a new standard for safety and connectivity in transportation.

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