Research Scientist (Combinatorial Optimization & Edge AI)

Design the Tomorrow. Every day.

We are on a mission of taking the world into a new future, connecting it, and enabling new ways of seeing it. By the power of curiosity and passion, using technology, and in full partnership - we lead change day by day. Our vision is built by individuals, connected to one another. We are in the business of creating our own reality when it’s the daily effort that counts – for an exciting future, one we wish to live in.

The DNN Group

The DNN group is a dynamic and innovative team developing solutions for the development, optimization and deployment of AI (DNN)-based applications. We deal with a wide range of activities and technologies, bound tightly together to form our cutting-edge solutions, integrated with Sony's world-leading image sensor products, and the AITRIOS smart-camera platform. Our vision is to continuously push the boundaries of technology and setting the bar for advanced-edge AI (DNN) solutions.

We are seeking a highly motivated and innovative Research Scientist with a strong background in statistics, signal processing, and information theory to join our team focused on solving complex problems at the intersection of algorithm design, neural network optimization, and edge AI. You will play a key role in developing cutting-edge algorithms for NP-hard combinatorial problems, compressing and optimizing neural networks for resource-constrained edge devices. This is a unique opportunity to contribute to both theoretical advancements and real-world applications of AI.

Requirements:

Must hold a PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
Demonstrated expertise in one of the following: statistics and random signal, signal processing, and information theory.
Strong programming skills in python, and Matlab.
Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
Strong publication record in top-tier academic venues, such as CVPR, ECCV, NIPS, ICASSP, InterSpeech, etc.
Experience in theoretical and empirical research and in addressing research problems.
Experience in combinatorial and non-convex optimizations.
Experience communicating research for public audiences of peers.
Familiarity with embedded systems and edge computing platforms is a plus.

At Sony Semiconductor Israel, you have the opportunity to work with cutting-edge technology among professional colleges and teammates in an innovative environment that fosters creativity, partnership, and initiative. Join and explore new boundaries and enjoy extensive benefits. Let's design the tomorrow, together.

Responsibilities:

Develop novel techniques for neural network quantization, pruning, and compression to enable efficient deployment on edge devices.
Design and analyze algorithms for NP-hard combinatorial optimization problems, with a focus on applications in AI and machine learning.
Collaborate with engineering and software teams to integrate research findings into product.
Stay abreast of the latest research in relevant fields and publish findings in top-tier academic conferences and journals.