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We are seeking a highly motivated Chip Architect to join our team and help shape the future of next-generation high-performance networking. our companys next-generation Ethernet and NVL switches are at the core of the worlds most advanced compute clusters from powering AI factories to scaling NVL-based GPU systems used in training/inferencing of the largest foundation models. As a Chip Architect at our company, you will play a central role in defining the architecture of these high-bandwidth, low-latency switches. Your work will directly impact how AI supercomputers, hyperscale data centers, and cutting-edge research platforms communicate at scale. You will join a team with a strong track record of first-in-the-world products and help deliver the next leap in networking technology.
What You'll Be Doing:
Define the end-to-end architecture and full feature set of next-generation NVL and Ethernet switch chips across all stages of the product lifecycle from early concept to deployment.
Develop architectural specifications and design guidelines, and drive trade-off analyses across multiple architecture options.
Lead research and exploration of future architectures, including innovation that contributes to patent development.
Collaborate closely with cross-functional teams including other architecture groups, logic design, firmware, system software, and research to ensure successful execution and integration.
Act as a technical leader and subject matter expert, mentoring others and driving architectural excellence across the organization.

our company's Network Management Group develops the core software applications that manage and monitor NVLink and InfiniBand networks. Our applications handle critical tasks such as routing configuration, access control, resource management, and network error detection and recovery. These applications power the world's most advanced supercomputers and form the backbone of infrastructure for leading AI training workloads.
We seek an experienced Software Engineer eager to contribute to system design, implementation, and automatic tests.
What you'll be doing:
Design, develop, and optimize a user-space server application, written in C++, responsible for handling large-scale InfiniBand/NVLink networks.
Collaborate with multiple teams to develop new features/improvements in our multi-functional environment.
Improve and maintain automatic test systems written in Python.

the omnichannel outcomes platform for the open internet, driving full-funnel results for marketers across premium media. With a focus on meaningful business outcomes for branding and performance objectives, the combined company ensures value is driven with every media dollar by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. One of the most scaled advertising platforms on the open internet, Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, with a global team of nearly 1,800 people in 36 countries.
Our main Engineering challenges at Teads
Build efficient and easy-to-use web products used by thousands of users working for the worlds most premium publishers, advertisers, and agencies.
Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Scala and TypeScript, among others.
Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds).
Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second).
A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products.
Bring a wide diversity of profiles to the same level of quality and knowledge
Work in an international environment with offices located in Israel, Slovenia and France.
What will you do?
Design and develop innovative, high-performance products using HTML, CSS, TypeScript, and Vanilla JavaScript, leveraging modern technologies to create engaging experiences for a global audience.
Build exciting products and interfaces with a worldwide impact.
Test, monitor, and collect actionable insights to improve the performance and functionality of your developments.
Knowledge of server-side languages is advantageous. Were developing scalable, extensible, and robust server-side APIs using Java or Node.js.
Work within a Microservices CI/CD environment to ensure smooth deployment and operation.

the omnichannel outcomes platform for the open internet, driving full-funnel results for marketers across premium media. With a focus on meaningful business outcomes for branding and performance objectives, the combined company ensures value is driven with every media dollar by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. One of the most scaled advertising platforms on the open internet, directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, with a global team of nearly 1,800 people in 36 countries.

About the opportunity
We are looking for a seasoned engineer who combines strong backend engineering expertise with proven experience in machine learning. You will play a critical role at the intersection of backend systems, data engineering, and ML infrastructure, building scalable platforms and algorithms that power our large-scale ML workflows. Your work will directly impact the performance, reliability, and scalability of our ML systems, from core infrastructure and model deployment to performance monitoring and KPI optimization.

What will you do?
Architect and implement efficient, scalable backend systems for high-performance ML workflows, data processing pipelines, and core infrastructure services.
Develop, adapt, and optimize ML algorithms, contributing to the platforms core ML capabilities and features.
Ensure all systems are tested, observable, and optimized, including automated unit, integration, and load testing for ML workloads.
Optimize infrastructure and algorithms for latency, throughput, and accuracy, tackling production-level challenges in distributed and GPU-enabled environments.
Collaborate closely with data scientists to implement core infrastructure features and integrate them into the ML platform.
Stay up-to-date with emerging ML frameworks, distributed systems technologies, and performance optimization techniques to maintain a cutting-edge platform.

We are looking for a curious and innovative Applied R&D Engineer to join our multidisciplinary team, solving complex challenges in electrochemical and fluid systems.

Youll play a key role in developing new concepts, not just testing existing ones. Your work will span from building physical models to designing experiments that reveal system behavior and performance limits.

Key Responsibilities:
Design and execute experiments to study multiphase flow, heat/mass transfer, and electrochemical behavior in complex systems.
Develop physical models to predict system performance, failure modes, and optimization opportunities.
Integrate experimental data with modeling to extract quantitative insights and validate theoretical predictions.
Collaborate with cross-functional teams to translate insights into hardware and process innovations.