At NVIDIA, we’re solving the world’s most ambitious problems with our unique approach to accelerated computing. We’re looking for a passionate and energized software engineer to join the NVIDIA Cryptography team working on ground-breaking cryptography solutions. In this role, you will contribute to the development and integration of cryptographic algorithms and low-level mathematical primitives within cuPQC Software Development Kit (SDK), focusing on Post-Quantum Cryptography (PQC), and Privacy-Enhancing Technologies (PETs). Our SDK is focused on security software stacks targeting a range of processors from edge computing to data center class GPUs. These high-performance libraries provide accelerated cryptographic building blocks as well as NIST standard PQC algorithms.
The advent of quantum computing requires major changes in the cryptography landscape, driving significant growth in the market for Post-Quantum Cryptography (PQC) and Privacy-Enhancing Technologies (PETs). As these technologies become increasingly essential for securing sensitive data and ensuring privacy across various industries, the demand for robust and efficient solutions is higher than ever. You will play a crucial role in designing, developing, and optimizing cryptographic algorithms and low-level mathematical primitives for high-performance execution on NVIDIA GPUs, influencing the creation of APIs, documentation, and the overall developer experience. Does the idea of being at the heart of these projects and applying your knowledge to architect and optimize algorithms which make an impact around the world excite you? If yes, then come and join our team!
What you will be doing:
Develop and optimize scalable high-performance cryptographic primitives, algorithms, and building blocks on the latest GPU hardware architectures
Emphasize robust long term software architectures and designs that effectively use many generations of hardware
Work closely with internal(product management, engineering) and external partners to understand feature and performance requirements and deliver timely cuPQC releases.
What we need to see:
PhD or MSc’s degree in Applied Mathematics, Computer Science, or related science or engineering field is preferred (or equivalent experience).
5+ years of experience designing and developing software for cryptography in low latency or high throughput environments
Strong mathematical foundations.
Advanced C++ skills, including modern design paradigms (e.g. template meta-programming, SFINAE, RAII, constexpr, etc).
Strong collaboration, communication, and documentation habits.
Ways to stand out from the crowd:
Experience developing libraries consumed by many users.
Experience with CUDA C++, and GPU computing.
Programming skills with contemporary automation setups for both building software (e.g. cmake) as well as testing (e.g. CI/CD, sanitizers).
Strong understanding of mathematical foundations and algorithms used in cryptography, including but not limited to finite field arithmetic, lattice-based cryptography, and cryptographic hash functions.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
