Application Guide

How to Apply for Software Engineer, ML Infrastructure, Optimization

at Nuro

🏢 About Nuro

Nuro is pioneering autonomous delivery robots that are electric, efficient, and designed to reduce emissions, directly tackling urban logistics and sustainability challenges. Working here means contributing to tangible, real-world AI applications that impact daily life and the environment, not just theoretical models.

About This Role

This role focuses on building and optimizing the scalable infrastructure that powers Nuro's machine learning models for autonomous delivery robots. You'll bridge the gap between data science and engineering, ensuring models are deployed efficiently and reliably to enable real-time decision-making for robots navigating complex environments.

💡 A Day in the Life

A typical day might involve collaborating with data scientists to refine model deployment pipelines, optimizing infrastructure code in Python/C++ for better performance, and troubleshooting cloud-based ML services to ensure reliable operation for Nuro's delivery robots. You could also design experiments to reduce inference latency or improve resource usage, balancing innovation with stability in a fast-paced, mission-driven environment.

🚀 Application Tools

Generate Cover Letter

AI-powered, tailored for Nuro

Interview Prep

Practice questions for this role

🎯 Who Nuro Is Looking For

  • Has 5+ years of software engineering experience with a proven track record in designing and maintaining production-grade ML infrastructure (e.g., model training pipelines, serving systems, monitoring).
  • Demonstrates strong proficiency in Python and/or C++ for performance-critical systems, plus hands-on experience with cloud platforms like AWS or GCP for deploying scalable ML services.
  • Possesses a deep understanding of optimization techniques for ML systems, such as reducing latency, improving throughput, or managing resource constraints in edge or cloud environments.
  • Is collaborative and communicative, able to translate data scientists' needs into robust infrastructure solutions, with a passion for sustainability and real-world AI applications.

📝 Tips for Applying to Nuro

1

Tailor your resume to highlight specific ML infrastructure projects, quantifying impact (e.g., 'reduced model inference latency by 30%' or 'scaled training pipelines to handle 10x more data').

2

Showcase experience with optimization in your projects—mention tools like TensorFlow Serving, Kubernetes, or MLflow, and explain how you improved efficiency or reliability.

3

Research Nuro's technical blog or public talks to reference their infrastructure stack (e.g., robotics, sensor data processing) and align your skills with their needs.

4

Emphasize any experience with edge computing or real-time systems, as Nuro's robots operate in dynamic environments requiring low-latency ML decisions.

5

Include a link to your GitHub or portfolio with code samples related to ML infrastructure, optimization, or cloud deployment, even if from personal projects.

✉️ What to Emphasize in Your Cover Letter

["Explain your passion for Nuro's mission of sustainable, autonomous delivery and how your ML infrastructure work supports real-world AI applications.", 'Detail a specific project where you optimized ML systems for scalability or efficiency, linking it to potential challenges at Nuro (e.g., handling sensor data from robots).', 'Highlight your collaboration skills with data science teams, giving an example of how you translated model requirements into infrastructure solutions.', "Mention any familiarity with robotics, autonomous vehicles, or edge AI, as this shows direct relevance to Nuro's domain."]

Generate Cover Letter →

🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Explore Nuro's technical publications or blog posts on their ML infrastructure, robotics software, or deployment challenges to understand their stack.
  • → Look into Nuro's partnerships and deployments (e.g., with Domino's or Walmart) to grasp the scale and real-world impact of their delivery robots.
  • → Review their company values and sustainability goals, as these are core to their mission and likely influence engineering priorities.
  • → Check for talks by Nuro engineers on platforms like YouTube or conference websites to learn about their optimization approaches or infrastructure tools.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Describe how you'd design a scalable ML pipeline for training and deploying models in a robotics context, considering real-time constraints and data from sensors like cameras or LIDAR.
2 Discuss your experience optimizing ML inference for low latency or high throughput, possibly with examples using tools like TensorRT or ONNX Runtime.
3 Explain how you've collaborated with data scientists to productionize models, including versioning, monitoring, and troubleshooting in a cloud environment like AWS/GCP.
4 Walk through a past infrastructure challenge you solved, focusing on trade-offs (e.g., cost vs. performance) and how you measured success.
5 Ask about Nuro's current ML stack and how this role contributes to specific projects, such as route optimization or object detection for delivery robots.
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Applying with a generic resume that doesn't highlight ML infrastructure or optimization experience—this role requires specialized skills beyond general software engineering.
  • Failing to demonstrate how your work aligns with Nuro's mission of sustainability and real-world robotics; candidates who focus only on theoretical ML may not fit.
  • Neglecting to prepare for questions on scalability and efficiency in ML systems, as optimization is central to the role's title and responsibilities.

📅 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!

← Back to Job Listing Apply Now →