Application Guide

How to Apply for Software Engineer, Autonomous Systems

at DeepSea Technologies

🏢 About DeepSea Technologies

DeepSea Technologies is unique as an AI-driven company specifically focused on reducing fuel consumption and emissions in commercial shipping, combining environmental impact with cutting-edge technology. Working here means contributing to tangible climate solutions while developing autonomous systems for a critical global industry.

About This Role

This role involves converting research prototypes for motion learning, prediction, and control into production-grade software for autonomous shipping systems. You'll directly impact the company's mission by building reliable, scalable software that enables real-world fuel and emissions reductions through autonomous technology.

💡 A Day in the Life

A typical day involves collaborating with research engineers to understand motion learning prototypes, designing scalable software architecture for autonomous control systems, implementing and testing production code with robust CI/CD pipelines, and working with cross-disciplinary teams to integrate ML models into the autonomous shipping stack.

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Interview Prep

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🎯 Who DeepSea Technologies Is Looking For

  • Has 5+ years of professional Python development experience with proven ability to build production-grade, reliable, and scalable systems
  • Demonstrates strong software architecture skills with emphasis on OOP, Git, automatic testing, and CI/CD pipelines
  • Possesses foundational understanding in physics, systems, robotics, ML, and simulation with ability to apply this to shipping/autonomous systems
  • Shows experience collaborating in cross-disciplinary teams (research, ML, MLOps, robotics) and converting research prototypes to production software

📝 Tips for Applying to DeepSea Technologies

1

Highlight specific examples of converting research prototypes to production software, especially related to motion, prediction, or control systems

2

Demonstrate how your physics/systems understanding has informed software architecture decisions in previous roles

3

Showcase Python projects where you implemented robust testing and CI/CD pipelines for autonomous or robotics systems

4

Explain how your experience aligns with shipping/autonomous systems specifically, not just general software engineering

5

Provide concrete metrics about reliability and scalability of systems you've built (uptime, throughput, error rates)

✉️ What to Emphasize in Your Cover Letter

['Your experience with production-grade software for autonomous or robotics systems', 'Specific examples of converting research prototypes to reliable production software', 'How your physics/systems understanding informs your software development approach', "Why you're passionate about applying autonomous systems to shipping emissions reduction"]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → DeepSea's specific AI/autonomous technology for shipping (look for whitepapers, case studies, or presentations)
  • → Commercial shipping industry challenges related to fuel efficiency and emissions
  • → Current autonomous shipping projects and regulations in the maritime industry
  • → The company's research publications or technical blog posts about motion learning/prediction

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk through a specific example of converting a research prototype to production software
2 How would you design a scalable software stack for autonomous ship motion control?
3 Describe your approach to testing and ensuring reliability in autonomous systems
4 How do you collaborate with research and ML teams when integrating their work into production?
5 What physics principles are most relevant to autonomous shipping systems and how do they inform software design?
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⚠️ Common Mistakes to Avoid

  • Focusing only on general software engineering without connecting to autonomous systems or shipping applications
  • Presenting research experience without demonstrating ability to convert to production-grade software
  • Not showing understanding of how physics/systems knowledge informs software architecture for autonomous 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 DeepSea Technologies!

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