Application Guide

How to Apply for Staff Software Engineer

at Hayden AI

🏢 About Hayden AI

Hayden AI is at the forefront of using AI to revolutionize urban transit and sustainability, offering a unique opportunity to work on real-world problems that impact millions of commuters daily. Their focus on perception systems for autonomous transit and urban analytics sets them apart from generic AI companies, with a strong emphasis on safety and efficiency.

About This Role

As a Staff Software Engineer, you will lead the architectural design and production deployment of next-generation perception systems, bridging the gap between research and scalable solutions. Your work will directly influence safer, faster transit and sustainable urban development, making a tangible impact on city life.

💡 A Day in the Life

A typical day might start with a stand-up to align with the perception team on pipeline performance metrics, then deep-dive into optimizing a C++ module for sensor fusion on edge devices. Afternoons could involve code reviews, collaborating with ML researchers to integrate a new detection model, and testing on real-world transit data.

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Interview Prep

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🎯 Who Hayden AI Is Looking For

  • An expert in C++ with deep experience in real-time and embedded systems, especially for robotics or autonomous vehicles.
  • Proven track record in architecting and deploying high-throughput perception pipelines (object detection, tracking, sensor fusion) in production.
  • Strong research-to-production skills, having taken ML/CV models from prototype to robust, scalable systems.
  • Advanced degree (MS/PhD) with 10+ years in perception, ideally in automotive or robotics domains.

📝 Tips for Applying to Hayden AI

1

Highlight specific perception systems you've architected and deployed, emphasizing scale and performance metrics (e.g., latency, throughput, accuracy).

2

Showcase your C++ expertise with examples of high-performance code optimized for edge/robotics platforms (e.g., ARM, NVIDIA Jetson).

3

Demonstrate your experience with ML/CV model integration, including any novel models you've developed for complex, large-scale problems.

4

Tailor your resume to emphasize end-to-end ownership: from research prototype to production deployment, with clear impact on transit or robotics.

5

Include a link to a GitHub repo or portfolio with relevant C++ perception projects, especially those involving sensor fusion or real-time processing.

✉️ What to Emphasize in Your Cover Letter

['Your passion for using AI to solve urban transit challenges and improve sustainability.', 'Concrete examples of leading perception system architecture and deployment in production, with quantifiable results.', 'Your expertise in C++ and real-time systems, and how it ensures high-performance, maintainable code.', 'Your ability to bridge research and production, adapting state-of-the-art ML/CV models to real-world constraints.']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Understand Hayden AI's core products: automated enforcement (bus lane, parking) and transit analytics. How do perception systems enable these?
  • → Review their blog or tech talks on perception challenges in urban environments (e.g., occlusions, lighting).
  • → Look into their edge computing platform: likely NVIDIA Jetson or similar. Familiarize with optimization for such platforms.
  • → Investigate their competitors (e.g., Waymo, Cruise) but note Hayden's focus on transit and city infrastructure.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Design a real-time perception pipeline for an autonomous bus: trade-offs between latency, accuracy, and compute resources.
2 How would you optimize a C++ perception module for an edge device with limited memory and power?
3 Describe a time you took a research prototype to production: challenges, decisions, and outcomes.
4 Explain sensor fusion techniques (e.g., LiDAR+camera) and how you'd handle calibration and synchronization.
5 How do you ensure code quality and maintainability in a large-scale C++ perception system?
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⚠️ Common Mistakes to Avoid

  • Don't focus solely on ML model accuracy; emphasize system-level design, integration, and production robustness.
  • Avoid generic C++ experience; be specific about real-time and embedded systems (e.g., memory management, concurrency).
  • Don't neglect the transit/sustainability angle; show genuine interest in the company's mission beyond just tech.

📅 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 Hayden AI!

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