Software Engineer, ML Infrastructure Platform
Nuro
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This role on the market
2,699 open infrastructure roles across 369 companies are on ApplySarthi right now, most of them in Bengaluru (143), Hyderabad (25), Delhi NCR (12).
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What infrastructure roles keep asking for: Python (32%), AWS (30%), Observability (26%), Kubernetes (25%), System design (25%), Linux (19%), Terraform (19%), CI/CD (17%) — counted across their open postings here.
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Nuro has 99 open roles listed here.
- Principal Software Engineer, Performance
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- Technical Lead Software Engineer, Routing
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for infrastructure roles keep coming back to Python, AWS, Observability, Kubernetes. Practise those questions before you sit with Nuro.
Questions you are likely to be asked
- Why do you want to join Nuro?
- What is your experience with Kubernetes? Tell me one thing you learned the hard way.
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
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Practise the Software Engineer, ML Infrastructure Platform at Nuro interview free →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
Nuro takes a machine-learning-first approach to autonomous driving, and the ML Infrastructure team builds and operates the infrastructure that makes that possible. We own the systems that train the models at the core of the Nuro Driver™ - from distributed GPU training and closed-loop reinforcement learning, to the workflows, orchestration, observability, and cost management that keep the fleet running efficiently.
Our work sits directly on the critical path of autonomy development. When a training run stalls, when a pipeline silently regresses, or when GPU utilization slips, it shows up in how fast the rest of the company can ship. We care as much about reliability and operational maturity as we do about raw scale.
About the Work
- Contribute to Nuro’s training infrastructure, spanning multi-generation accelerators, and multi-cluster scheduling and orchestration.
- Design and operate large-scale data pipelines - batch and streaming ingestion, storage layout, and high-throughput data generation and storage.
- Design and develop agentic-first ML workflows - data-to-training-to-evaluation pipelines that are introspectable, reproducible, and easy for autonomy teams to run and extend.
- Own reliability for critical training and release pipelines: instrument them, define meaningful alerting, and build the on-call and incident-response practices that let the team catch regressions.
About You
- BS, MS, or PhD in Computer Science, Electrical Engineering, or a closely related field, plus 1+ years of relevant work experience.
- Willingness to deep-dive into implementation and to raise the technical and operational standards of the broader engineering organization.
- A demonstrated ownership mindset: you drive systems to operational maturity e.g. through monitoring, alerting, runbooks.
- Strong proficiency in Python (and comfort with C++, Go or a similar systems language).
- Hands-on experience running production infrastructure on Kubernetes.
- Solid distributed-systems fundamentals and the ability to reason about performance, failure modes, and reliability across a complex system.
Bonus Points
- Strong working knowledge of GCP.
- Experience with building large scale data generation pipelines.
- Experience with Kubernetes-native orchestration for ML workloads.
- Depth in GPU / distributed training internals, including NCCL and collective communication.
- Familiarity with GPU and training observability tooling and using it to diagnose real bottlenecks.
- A track record of driving down infrastructure cost while improving reliability.
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,360 and $240,540 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.
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Listed on greenhouse · posted 2026-08-11. ApplySarthi collects openings and links to application pages; the role is advertised by Nuro, not by us.