Application Guide

How to Apply for Senior Product Security Engineer

at Phaidra

🏢 About Phaidra

Phaidra is pioneering AI-driven control systems specifically for industrial efficiency, focusing on reducing energy waste and environmental impact. Unlike generic AI companies, they apply reinforcement learning to physical industrial systems, making their work directly impactful on sustainability. Their focus on 'Agentic AI'—autonomous systems making decisions—places them at the cutting edge of applied AI security.

About This Role

This Senior Product Security Engineer role focuses exclusively on securing autonomous AI agents within industrial control systems, not traditional software. You'll be embedded with the Agentic AI team to adapt security practices for reinforcement learning pipelines and design safety boundaries between AI models and physical hardware. Your work directly prevents risks like reward hacking in agents controlling critical infrastructure.

💡 A Day in the Life

A typical day involves collaborating with AI researchers on threat modeling for new agent architectures, reviewing security controls in reinforcement learning training pipelines, and designing safety boundaries for agents interfacing with industrial hardware. You might spend time adapting security frameworks for experimental RL development while ensuring deterministic fail-safes protect physical systems.

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🎯 Who Phaidra Is Looking For

  • Has 5+ years in product/application security with recent experience securing machine learning systems, specifically reinforcement learning or autonomous agents
  • Demonstrates experience working embedded with AI researchers, understanding how to bridge probabilistic AI outputs with deterministic safety controls
  • Can articulate specific threats in agentic systems like goal misalignment, reward hacking, or insecure tool execution in autonomous agents
  • Has practical experience with securing training pipelines, simulation environments (like Digital Twins), and implementing Zero Trust in AI architectures

📝 Tips for Applying to Phaidra

1

Tailor your resume to highlight specific projects where you secured reinforcement learning systems or autonomous agents—not just general ML security

2

Explicitly mention experience with industrial control systems, IoT security, or OT environments since Phaidra interfaces with physical hardware

3

Research and reference Phaidra's specific technology (Agentic AI for industrial efficiency) rather than discussing generic AI security principles

4

Prepare examples of how you've adapted security practices for experimental/research environments, as the role requires working with iterative RL development

5

If you have experience with Digital Twins or simulation security, make this prominent as it's specifically mentioned in the job description

✉️ What to Emphasize in Your Cover Letter

['Your experience securing autonomous decision-making systems, specifically mentioning reinforcement learning or agentic AI if applicable', 'Examples of successful collaboration with AI researchers or data scientists in embedded security roles', "How you've implemented safety boundaries between software systems and physical controls in previous roles", "Your approach to threat modeling for novel systems where traditional security frameworks don't directly apply"]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Phaidra's specific approach to 'Agentic AI' and how they apply reinforcement learning to industrial systems
  • → Their published work or blog posts about Secure AI/ML Development Lifecycle (SAIDL) if available
  • → The industrial sectors they serve (energy, manufacturing, etc.) and associated regulatory environments
  • → Their technology stack mentions—Digital Twins, reinforcement learning frameworks, and industrial control systems

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk through how you would threat model a reinforcement learning agent controlling an industrial cooling system
2 Describe your experience securing training pipelines and ensuring integrity of simulation environments
3 How would you implement deterministic safety guardrails between an AI agent and physical hardware controls?
4 Discuss specific risks in agentic AI systems like goal misalignment or reward hacking with concrete examples
5 Explain how you've adapted security practices for experimental/research-oriented development teams in the past
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⚠️ Common Mistakes to Avoid

  • Focusing only on traditional application security without addressing ML/AI-specific risks
  • Treating this as a generic security role rather than understanding it's embedded within an AI research team
  • Not demonstrating understanding of the bridge between probabilistic AI systems and deterministic safety controls
  • Using generic AI security talking points without addressing reinforcement learning or autonomous agent specifics

📅 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 Phaidra!

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