Application Guide

How to Apply for Software Engineer, Offboard Infrastructure

at Nuro

🏢 About Nuro

Nuro is pioneering autonomous delivery with electric robots designed to reduce emissions and transform local commerce. Unlike traditional autonomous vehicle companies focused on passenger transport, Nuro specializes in last-mile goods delivery, creating a unique niche in sustainable robotics. Their mission-driven approach to making deliveries affordable and environmentally friendly attracts engineers passionate about tangible real-world impact.

About This Role

As a Software Engineer on Offboard Infrastructure, you'll contribute to one of three critical areas: Data Platform (managing AI Driver data, annotations, and evaluation infrastructure), Simulation (building virtual testing environments for autonomous driving), or Technical Infrastructure (developing core services like compute platforms and petabyte-scale storage). This role is impactful because it directly enables Nuro's autonomous systems to learn, test, and operate reliably at scale.

💡 A Day in the Life

A typical day involves collaborating with autonomy and AI teams to design scalable data pipelines or simulation scenarios, optimizing cloud infrastructure for petabyte-scale storage, and developing tools for AI Driver evaluation. You might spend mornings debugging distributed systems issues, afternoons building sensor simulation features, and reviewing metrics on infrastructure reliability to ensure seamless robot operations.

🎯 Who Nuro Is Looking For

  • Has 2+ years experience with Python, C++, or Go in distributed systems, data processing, or microservices—specifically relevant to autonomous vehicle or robotics infrastructure
  • Possesses domain knowledge in at least one area mentioned: large-scale data storage, simulation frameworks, machine learning pipelines, or cloud infrastructure for robotics
  • Demonstrates experience with petabyte-scale data management, sensor simulation, or autonomy evaluation systems—common in AV/robotics companies
  • Shows interest in Nuro's specific focus on delivery robots rather than passenger vehicles, with understanding of offboard vs. onboard autonomy challenges

📝 Tips for Applying to Nuro

1

Tailor your resume to highlight experience with petabyte-scale data systems, simulation frameworks (like CARLA or NVIDIA DRIVE Sim), or robotics cloud infrastructure—mention specific technologies Nuro likely uses

2

In your application, specify which of the three areas (Data Platform, Simulation, or Technical Infrastructure) aligns best with your background and why

3

Research Nuro's specific robots (R2 and Nuro One) and mention how offboard infrastructure supports their operations in your cover letter

4

If you have experience with autonomy data annotation tools, sensor simulation, or robotics compute platforms, provide concrete examples with metrics

5

Connect your experience to Nuro's sustainability mission—explain how efficient infrastructure reduces computational waste or energy use

✉️ What to Emphasize in Your Cover Letter

["Explain your specific interest in Nuro's delivery-focused autonomy (not passenger cars) and how offboard infrastructure enables reliable robot operations", 'Detail experience with one of the three areas—e.g., if applying for Simulation, discuss sensor simulation or scenario generation projects', 'Highlight any work with large-scale robotics data pipelines, cloud services for autonomy, or evaluation frameworks', "Connect your skills to Nuro's need for scalable infrastructure supporting hundreds of PB of data and mission-critical workflows"]

Generate Cover Letter →

🔍 Research Before Applying

To stand out, make sure you've researched:

  • Study Nuro's specific robots (R2 and Nuro One) and their operational domains—understand how offboard infrastructure supports these platforms
  • Research Nuro's partnerships (e.g., with FedEx, Domino's) to grasp real-world delivery use cases your infrastructure would enable
  • Look into Nuro's technical blog or publications for insights into their simulation, data platform, or infrastructure stack
  • Understand the difference between Nuro's delivery focus vs. companies like Waymo or Cruise—how does infrastructure needs differ?

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 How would you design a system to manage hundreds of petabytes of autonomy data with low-latency access for training pipelines?
2 Describe your experience with simulation frameworks for autonomous vehicles—how do you ensure virtual tests translate to real-world performance?
3 Explain approaches to building a generic compute platform for robotics workflows (data processing, simulation) with reliability guarantees
4 How do you handle data annotation challenges for 2D/3D perception or behavior trajectory in autonomous systems?
5 Discuss trade-offs in microservice architecture for offboard infrastructure vs. monolithic designs in a robotics context
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Applying with generic software engineering experience without tailoring to robotics/autonomy infrastructure—Nuro needs domain-specific knowledge
  • Failing to specify interest in Data Platform, Simulation, or Technical Infrastructure—the role is split, so vagueness suggests lack of focus
  • Not researching Nuro's unique delivery robot focus—mistaking it for passenger AV companies shows poor preparation

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Nuro!