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Hardware Security Engineer Intern
at Ledger
8 months ago | 961 views | 3 applications

Hardware Security Engineer Intern

Per year
$45,000 To $62,000

About the company

Founded in Paris in 2014, LEDGER is a global platform for digital assets and Web3. Ledger is already the world leader in Critical Digital Asset security and utility. With more than 6M devices sold to consumers in 200 countries and 10+ languages, 100+ financial institutions and brands as customers, 20% of the world’s crypto assets are secured, plus services supporting trading, buying, spending, earning, and NFTs. LEDGER’s products include: Ledger Stax, Nano S Plus, Nano X hardware wallets, LEDGER Live companion app, [ LEDGER ] Market, the world’s first secure-minting and first-sale distribution platform, and Ledger Enterprise. With its ease of use, LEDGER allows a user to begin investing in digital assets and ultimately, achieve financial freedom in a safe and stress-free environment.

Job Summary

Your mission:

📍Following the current direction in Deep Learning (DL), several works have started to pay attention to the efficiency of DL in breaking cryptographic implementations on embedded devices. The purpose of this internship is to study and investigate different leakage models using DL in case of complex SoCs. 📍The intern will explore different DL architectures allowing side-channel attacks on real-life targets. At first, the internship will focus on an IoT target and simple cryptographic algorithms. After getting comfortable with acquisitions and DL training, the study will be shifted towards a recent SoC. Technical skills: 📍Research cutting-edge hardware attacks by using side channel techniques, 📍Perform hardware security reviews of new products launched by Ledger, 📍Interact with product and development teams to help maintaining Ledger’s products top security, 📍Maintain and write new code allowing hardware attacks (side-channel attack library, bench tooling), 📍Present your work in academic and hacking conferences all over the world.

What we're looking for:

📍A bachelor/master degree in Computer Science/Electrical Engineering 📍Familiarity with deep learning domain 📍Good programming skills in Python and C, and/or Rust
📍Having knowledge in side-channel, signal processing and statistics 📍A good level in English

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