Application Guide
How to Apply for Senior Software Engineer, Performance Tooling and Infrastructure
at Nuro
๐ข About Nuro
Nuro is unique as a self-driving technology company focused specifically on delivery robots, combining AI with automotive-grade hardware to create scalable autonomous solutions. They stand out by licensing their proven Nuro Driverโข technology to various applications rather than just operating their own fleet, offering a clear path to commercial AV scale while reducing emissions through efficient electric delivery.
About This Role
This Senior Software Engineer role involves owning the infrastructure for Nuro's Performance Simulation Platform, which validates every autonomy code change on actual robot compute hardware before deployment. You'll work with hybrid benchmarking systems combining physical bench-top rigs (NVIDIA Thor platform) with cloud-native infrastructure (Kubernetes, GCP) and automated data pipelines feeding into BigQuery and Grafana.
๐ก A Day in the Life
A typical day involves designing and improving the hybrid performance simulation platform, troubleshooting issues with bench-top rigs running NVIDIA Thor hardware, implementing new data pipelines for performance metrics in BigQuery, and collaborating with autonomy teams to ensure their code changes can be properly validated for real-time performance before deployment to actual delivery robots.
๐ Application Tools
๐ฏ Who Nuro Is Looking For
- Has deep experience with performance tooling and infrastructure for real-time systems, particularly in robotics, autonomous vehicles, or similar latency-sensitive domains
- Possesses strong expertise with NVIDIA platforms (especially Thor), Kubernetes orchestration, GCP, and data pipeline tools like BigQuery and Grafana
- Demonstrates experience with hybrid physical/cloud systems where hardware-in-the-loop testing meets cloud-native infrastructure
- Shows understanding of autonomy software validation requirements, particularly around ML model updates, trajectory evaluation, and real-time performance constraints
๐ Tips for Applying to Nuro
Highlight specific experience with NVIDIA Thor platform or similar robotics compute hardware in your resume
Demonstrate concrete examples of building performance validation infrastructure for real-time autonomous systems
Show how you've managed hybrid physical/cloud systems (not just pure cloud infrastructure)
Include metrics or outcomes from previous performance tooling projects that improved validation efficiency or reliability
Tailor your application to show understanding of Nuro's specific challenge: validating autonomy code changes before they reach actual robots on the road
โ๏ธ What to Emphasize in Your Cover Letter
['Your experience with performance validation infrastructure for autonomous systems or robotics', 'Specific examples of working with hybrid physical/cloud systems and hardware-in-the-loop testing', "How you've ensured real-time performance requirements were met in previous roles", "Why Nuro's mission of scalable autonomous delivery specifically appeals to you as a performance infrastructure engineer"]
Generate Cover Letter โ๐ Research Before Applying
To stand out, make sure you've researched:
- โ Nuro's specific deployment history and where their robots currently operate
- โ Technical details about the Nuro Driverโข platform and its architecture
- โ Nuro's partnerships with automakers and how they license their technology
- โ Recent news about Nuro's performance simulation or validation infrastructure
๐ฌ Prepare for These Interview Topics
Based on this role, you may be asked about:
โ ๏ธ Common Mistakes to Avoid
- Focusing only on pure cloud infrastructure without demonstrating physical hardware integration experience
- Generic performance engineering experience without specific robotics/autonomous systems context
- Not understanding the critical importance of real-time performance validation before code reaches actual robots
๐ 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:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!