Application Guide

How to Apply for Senior Software Engineer, Behavior Planning

at Nuro

🏢 About Nuro

Nuro is unique as a robotics company focused exclusively on last-mile delivery through autonomous, electric vehicles, not passenger transport. Their mission-driven approach targets reducing emissions and traffic congestion while making goods delivery more affordable and accessible. Working at Nuro offers the chance to contribute to tangible, real-world robotics solutions that are already deployed in communities.

About This Role

This Senior Software Engineer role focuses on developing behavior planning systems for Nuro's autonomous delivery robots, requiring both robotics expertise and machine learning application. You'll be designing and implementing novel algorithms that enable safe, efficient decision-making in complex urban environments. The role is impactful because behavior planning directly determines how Nuro's vehicles interact with the world, making it critical to both safety and operational efficiency.

💡 A Day in the Life

A typical day involves designing and implementing behavior planning algorithms, then testing them in simulation against complex urban scenarios. You'll collaborate with perception engineers to understand sensor limitations and with mapping teams to incorporate road network data. Regular code reviews and mentoring sessions with junior team members ensure production-ready software that meets safety and performance requirements for real-world deployment.

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Interview Prep

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🎯 Who Nuro Is Looking For

  • Has advanced degree (PhD or Masters) in robotics, CS, or related field with specific expertise in behavior planning, motion planning, or optimal control
  • Possesses practical machine learning experience with techniques like reinforcement learning, imitation learning, or transformers applied to robotics problems
  • Demonstrates ability to translate research into production-ready software that runs on real vehicle platforms
  • Has experience mentoring junior engineers and collaborating cross-functionally with perception, mapping, and ML teams

📝 Tips for Applying to Nuro

1

Highlight specific projects where you've applied behavior planning or motion planning algorithms to real-world robotics systems, not just simulations

2

Emphasize experience with production deployment of robotics software, including any work with real vehicle platforms or embedded systems

3

Detail your cross-functional collaboration experience, especially with perception and mapping teams in autonomous systems

4

Showcase mentorship examples where you've guided junior engineers on technical robotics problems

5

Include metrics or outcomes from your work that demonstrate impact on system performance, safety, or efficiency

✉️ What to Emphasize in Your Cover Letter

['Your specific experience with behavior planning for autonomous vehicles or mobile robots in dynamic environments', 'Examples of translating machine learning research (especially RL or imitation learning) into practical robotics applications', 'Collaboration experience with perception and mapping teams to create integrated autonomous systems', "Why you're drawn to Nuro's specific mission of last-mile delivery rather than passenger autonomy"]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Nuro's specific vehicle platforms and deployment locations to understand their operational environment
  • → Their technical publications or blog posts about behavior planning and autonomy stack
  • → Regulatory approvals and partnerships that indicate their deployment strategy and scale
  • → How their last-mile delivery focus creates different technical challenges than passenger AV companies

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Behavior planning scenarios for delivery robots in urban environments with pedestrians and other vehicles
2 Technical trade-offs between different planning algorithms (sampling-based vs optimization-based) for real-time applications
3 Integration challenges between behavior planning and perception/mapping systems
4 Machine learning approaches to improving planning robustness in edge cases
5 Software architecture decisions for deploying planning algorithms on vehicle hardware
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⚠️ Common Mistakes to Avoid

  • Focusing only on passenger autonomous vehicles without addressing delivery-specific challenges
  • Presenting purely academic research without demonstrating production software experience
  • Neglecting to discuss safety considerations specific to behavior planning for public road deployment

📅 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!

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