Qualifications

• 3+ years of ML research or engineering experience with quick shipping capabilities.
• Background in AI/ML research, cybersecurity, or systems engineering in high-stakes environments.
• Proven track record of converting research into production-ready solutions.
• Proficiency in low-level programming languages like C, Rust, and strong ML engineering skills.
• Familiarity with confidential computing and security engineering concepts, including participation in CTF competitions.
• Knowledge of data center networking concepts, PyTorch, Xilinx FPGAs, and formal verification techniques.
• Strong research mindset coupled with effective engineering execution in ambiguous and challenging situations.

Responsibilities

• Design and implement formal verification systems for security switches for FPGAs.
• Build integration platforms and SDKs for secure workflows within Python and ML environments.
• Engineer deep integrations involving Confidential Computing and Trusted Execution Environments (TEEs).
• Develop comprehensive data center systems focusing on routing and flow control.
• Collaborate with a top-tier team on innovative research and facilitate production deployments.

Benefits

• Opportunity to be a founding team member contributing to groundbreaking FPGA-based security solutions.
• Engagement in high-impact projects related to AI and cybersecurity with major industry players.
• Possibility of working on contracts valued over $10M to secure advanced AI data centers.