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CryptoNext Security seeks an FPGA Hardware Design Engineer intern to own a key PQC accelerator project on an embedded platform. You will develop RTL in SystemVerilog, integrate accelerators, and evaluate performance on the Zynq MPSoC board, focusing on NTT or Keccak functions for ML-KEM/ML-DSA within the CryptoNext Quantum Safe Library.
Required skills include FPGA RTL design, Vivado/Quartus experience, C under Linux, and strong codesign interest.
CryptoNext Security is a deeptech startup specializing in post-quantum cryptography. Our solutions help businesses and institutions prepare for a future where quantum computers will challenge traditional data security. We work with leading clients in finance, defense, and telecommunications.
As part of an exploratory project on hardware accelerators for post-quantum cryptography (PQC), we are looking for a highly motivated FPGA Hardware Design Engineer to take ownership of a key strategic project at the intersection of hardware/software codesign (FPGA development and low-level C) and post-quantum cryptographic accelerators. You will work on the design, integration, and evaluation of hardware accelerators for well-identified mathematical functions used in post-quantum cryptographic algorithms, with a strong focus on demonstrating concrete performance benefits on a real embedded platform.
Your mission
You will study state-of-the-art approaches described in the scientific literature on PQC hardware acceleration, including relevant academic work such as this recent study, and implement the selected ones. You will focus in particular on the Number Theoretic Transform (NTT) and the Keccak state permutation function, two key computational functions involved in the implementation of algorithms such as ML-KEM and ML-DSA (lattice-based PQC algorithms).
You will be responsible for developing system-level RTL code using SystemVerilog, integrating the resulting accelerators into a complete hardware/software system, and evaluating their impact on application-level performance. The target platform will be an AMD Xilinx ZCU104 development board, equipped with a Zynq UltraScale+ MPSoC.
The primary objective of the internship is to demonstrate, on the target platform, that a hardware accelerator for either the NTT or the Keccak permutation can effectively accelerate the corresponding ML-KEM or ML-DSA implementation in the CryptoNext Quantum Safe Library (C-QSL).
Required skills
Internship details
QUANTUM ROLE CONTEXT | Appended by Quantum.Jobs v2
Role context:
Hardware engineering roles specializing in post-quantum cryptography exist to accelerate intensive mathematical computations by offloading algorithms to specialized silicon logic. Positioned between cryptographic algorithm researchers and system integration teams, this role bridges low-level hardware design with application software layers. Engineers in this domain design custom logic circuits to optimize throughput, reduce latency, and minimize resource consumption in embedded platforms. This function enables security implementations to meet real‑time operational constraints within legacy infrastructure and high‑throughput enterprise networks undergoing post‑quantum migration.
Quantum ecosystem relevance:
While not creating quantum computing hardware directly, post-quantum hardware engineering serves as critical enabling infrastructure for quantum-safe cybersecurity. As quantum processors threaten traditional public-key encryption standards, organizations require hardware‑accelerated defensive systems. This role strengthens the commercialization and deployment readiness of quantum-resistant security libraries across industries such as finance, defense, and telecommunications. By validating cryptographic accelerators on programmable logic devices, the role supports the practical ecosystem transition toward long‑term quantum resilience across critical software systems.
Capability signals:
- Hardware and software codesign for low-level embedded system integration
- Digital logic implementation for computationally intensive mathematical operations
- Optimization of cryptographic primitives on reconfigurable hardware platforms
- Performance benchmarking and verification of RTL code on target hardware
- Cross‑layer integration of custom hardware modules with system software libraries