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Software Engineer, Cloud Infrastructure and Observability

Nuro - Mountain View, CA, United States - In-office - posted 2026-09-25

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Salary: USD 145,830 - 219,000 / annual

Nuro is a physical AI company developing Level 4 autonomous driving technology. Founded in 2016 and backed by over $2B in capital from investors including Uber, NVIDIA, Google, and SoftBank, Nuro is building a universal autonomy platform (Nuro Driver™) that enables self-driving deployment across robotaxis, logistics fleets, and personal vehicles. You will join Nuro's Infrastructure team as a Software Engineer focused on cloud infrastructure and observability. Your responsibilities will include: • Collaborating cross-functionally with teams across Nuro to align on customer needs and infrastructure requirements • Building high-quality, scalable solutions for infrastructure-as-code and application deployment to Kubernetes clusters • Developing automation to improve developer experience, infrastructure reliability, and security • Creating observability solutions to monitor production systems, track health status, and optimize system performance You will work on systems that support Nuro's real-world autonomous vehicle deployments and help scale the platform globally. REQUIREMENTS: • Bachelor's degree in Computer Science, Electrical Engineering, or closely related field, OR 3+ years of equivalent professional experience • Demonstrated ability to thrive in dynamic, startup environments with ambiguity • Excellent communication skills • Software development skills in Python or Go • Experience developing in public cloud environments (AWS, GCP, or Azure) • Hands-on experience with Terraform, Docker, and Kubernetes • Experience with observability tools and platforms • Proven track record building, scaling, and maintaining production systems BONUS QUALIFICATIONS: • Cloud/hybrid networking experience • Software architecture experience • Experience deploying and managing large distributed applications (e.g., with Kubernetes and ArgoCD) • Experience designing and building observability systems

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