Level

Nuro

Software Engineer, Cloud Infrastructure and Observability

AI in this role

Who We Are 

Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides.

Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles.

With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected.

Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors.

About the Role

We are looking for a Software Engineer (Cloud Infrastructure and Observability) to join Nuro's growing Infrastructure team.

About the Work

  • Collaborate and work cross-functionally amongst teams are Nuro to align on customer needs.
  • Build high-quality and scalable solutions for infrastructure-as-code, application deployment to Kubernetes clusters.
  • Build automation to improve developer experience, infrastructure reliability, and security.
  • Create observability solutions to monitor production systems, track health status, and improve system performance.

About You

  • You have start-up DNA: You have demonstrated an ability to thrive in the ambiguity of a dynamic, start-up environment or have the DNA to do so.
  • You have excellent communication skills.
  • You have software development skills, preferably in Python or Go
  • You are experienced with developing in a public cloud environment.
  • You are experienced with Terraform, Docker, and Kubernetes.
  • You are experienced with observability tools
  • You are experienced with building, scaling, and maintaining production systems.
  • You possess a bachelor's degree in Computer Science, Electrical Engineering, or a closely related field or 3+ years of equivalent experience.

Bonus Points

  • You have cloud/hybrid networking experience.
  • You have software architecture experience.
  • You have experience in deploying and managing large distributed applications (e.g. with Kubernetes and ArgoCD)
  • You have experience designing and building observability 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 $145,830 and $219,000 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. 

How we score this

Software Engineer, Cloud Infrastructure and Observability at Nuro scores 10 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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