Application Guide

How to Apply for Senior Software Engineer, Pilots

at Hayden AI

🏢 About Hayden AI

Hayden AI specializes in AI-driven solutions for urban mobility, focusing on making transit safer and cities more sustainable through innovative technology. What makes them unique is their application of edge computing and robotics platforms to real-world transportation challenges, positioning them at the intersection of AI, urban development, and public safety. Someone might want to work there to contribute to tangible societal impact while working on cutting-edge perception systems.

About This Role

This Senior Software Engineer role involves designing and implementing real-time perception pipelines for edge and robotics platforms, with a focus on detection, tracking, and sensor fusion. You'll be responsible for transitioning prototype systems into production-grade solutions, specifically tailoring C++ code for performance-critical applications. The role is impactful because it directly contributes to Hayden AI's mission of creating safer, faster transit through advanced perception technology.

💡 A Day in the Life

A typical day involves collaborating with the perception team to design and refine real-time pipelines, writing and optimizing C++ code for edge deployment, and testing perception algorithms on simulated or real sensor data. You might spend time integrating and adapting ML models for specific detection tasks, reviewing system architecture decisions, and ensuring robust performance across different urban mobility scenarios.

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Interview Prep

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🎯 Who Hayden AI Is Looking For

  • Has 5-8 years of hands-on experience building and deploying perception systems, preferably in automotive or robotics domains
  • Holds a Master's or PhD in Computer Science, Robotics, or related field with deep expertise in at least one of: robotics, state estimation, computer vision, or applied machine learning
  • Demonstrates senior-level proficiency in delivering robust, tested C++ code specifically optimized for edge computing platforms
  • Has practical experience adapting and integrating ML/CV models (including open-source solutions) for novel applications in perception pipelines

📝 Tips for Applying to Hayden AI

1

Highlight specific C++ projects where you optimized code for edge devices or robotics platforms, mentioning performance metrics if possible

2

Detail your experience with the full perception pipeline lifecycle - from prototype to production - especially in automotive or robotics contexts

3

Showcase concrete examples of adapting open-source ML/CV models for specific applications, not just using off-the-shelf solutions

4

Emphasize any experience with sensor fusion methodologies and real-time systems in your resume bullet points

5

Tailor your application to mention Hayden AI's focus on urban mobility and how your perception experience aligns with safer transit solutions

✉️ What to Emphasize in Your Cover Letter

['Your experience with C++ in edge/robotics environments and how you ensure code robustness and maintainability', "Specific examples of perception systems you've transitioned from prototype to production, highlighting your ownership role", "How your background in robotics, state estimation, CV, or ML directly applies to Hayden AI's focus on transit and urban development", 'Your approach to integrating and adapting existing ML/CV models for novel applications (mention any open-source model adaptation experience)']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Hayden AI's specific products and deployments in urban transit systems (look for case studies or client mentions)
  • → Their technology stack and any published technical content about their perception approaches
  • → Recent news about their partnerships in the smart cities or automotive sectors
  • → Their competitors in the AI-for-transit space and how Hayden differentiates itself

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Deep technical discussion of your C++ implementation for edge devices, including memory management, optimization, and testing strategies
2 Walkthrough of a perception system you designed, focusing on detection, tracking, and sensor fusion components
3 Scenario-based questions about adapting open-source ML/CV models for specific urban mobility use cases
4 Questions about your experience with real-time systems and ensuring pipeline performance on resource-constrained platforms
5 Discussion of how you've handled the transition from prototype to production in previous perception projects
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⚠️ Common Mistakes to Avoid

  • Focusing only on academic ML/CV knowledge without demonstrating industrial implementation experience
  • Presenting generic software engineering experience without highlighting edge computing or robotics-specific challenges
  • Failing to show ownership of projects from prototype to production in perception systems

📅 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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