Job description

Why does MWDN rock?

MWDN connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We aim to ensure our employees enjoy a rewarding and secure experience while collaborating with prestigious international clients.

Here’s what you can expect when you get employed by MWDN:

Security first. We vet our clients to eliminate risks, ensuring reliability and timely payments for your hard work—no fraud or unforeseen events here!
Career support. If a match isn't right, we're here for you. We actively assist our employees in finding new opportunities that fit their skills and aspirations.
Legal assistance. We provide guidance on legal matters (e.g., opening and administering your private entrepreneur account, taxes, army enrollment, etc.).
Professional development. We offer English courses and other engaging activities, including team-building events.

Why choose us? MWDN is ranked among the top 5 IT employers in our region by DOU, and we pride ourselves on our transparency and commitment to our team. Curious to learn more?

Discover what our employees say about us in their DOU reviews: MWDN reviews.

What is your new project?

Domain: AI та High-Performance Computing (HPC)

Location: Israel

Company size: 5-10 employees

Founded in: 2024

What makes this project exciting?

Join a team built by two professors from Columbia University and Hebrew University who are turning a big academic idea into reality. They’re working on a new technology to make neural networks cheaper and more efficient. The proof-of-concept is ready, and the next step is to bring it to a production level.

If you want to work on real innovation with leaders in academia and tech, this is your chance!

What makes you a great fit

Strong hands-on experience with CUDA programming.
Deep understanding of GPU architecture and CUDA internals.
Experience with implementing algorithms for matrix multiplication and neural network layers.
Proven ability to debug, optimize, and reverse-engineer CUDA code for performance improvements.
Passion for exploring the depths of GPU programming and achieving highly efficient solutions.
Strong communication skills to collaborate with researchers and the technical team.
At least an upper-intermediate English level.

Your day-to-day in this position

Implement and optimize CUDA code based on specifications provided by algorithm developers.
Translate matrix multiplication and neural network layer algorithms into efficient GPU implementations.
Collaborate with researchers and algorithm developers to ensure accurate implementation of complex mathematical models.
Dive deep into CUDA internals for optimization, debugging, and troubleshooting.
Contribute to turning a POC into a robust, production-grade deployment.

Why work with us?

People-oriented management without bureaucracy.
The friendly climate inside the company is confirmed by the frequent comeback of previous employees.
Flexible working schedule.
Paid time off (18 working days per year, plus all national holidays and 9 sick days).
Full financial and legal support for private entrepreneurs.
Free English classes with native speakers or with Ukrainian teachers (for your choice).
Dedicated HR.