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As a team member you will be responsible for development of enterprise grade software for monitoring and managing the world's largest supercomputers and data centers, built on our GPU and networking hardware. This role offers you an excellent opportunity to deliver production grade solutions, get hands on with ground-breaking technology, and work closely with technical leaders solving some of the biggest challenges in managing large scale networking and computing infrastructure.

What you'll be doing:

The team develops infrastructure for monitoring and gathering telemetry from production environments, running on the worlds largest supercomputers and datacenters.

The work environment is dynamic and challenging; we are innovating and inventing software products at the forefront of technology in terms of performance, scalability, and features.

Our team works closely with other engineering teams to co-design new features and software APIs.

We are seeking an AI Networking Exploration Architect for our Networking Insights Group to bridge the gap between cutting-edge, hyper-scale AI workloads and the datacenter infrastructure that enables them. You will join a small, focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding and end-to-end systems thinking. Your insights will directly shape our products across the full stackfrom applications and software libraries to hardware architecture and physical design.

What You'll Be Doing:

Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations.

Translate state-of-the-art research into actionable infrastructure, software, and hardware features in partnership with architecture teams.

Rapidly master new AI domains (LLMs, generative models, multimodal systems) and distill key findings for product teams.

Incorporate your deep knowledge of AI applications into our hardware and software roadmaps.

Conduct independent research by formulating hypotheses about workload behavior and validating them through rigorous analysis.

Drive architectural innovation and network optimization by applying your domain expertise to exploratory analysis of real-world Deep Learning (DL) workloads.

We are looking for a Senior Software Engineer. You will work with highly experienced engineers to provide the world's outstanding SmartNIC products for cloud-computing, research, medical, automotive, finance, weather, telco, and more. We are developing some of the core libraries of the DOCA SDK, rapidly growing DOCA functionality and use cases. With DOCA, developers can program the data center infrastructure by creating software-defined, cloud-native, secured, HW-accelerated services.

We also take significant part in the Linux-foundation DPDK (dpdk.org) project, and expand the Mellanox PMD in particular, providing the framework and common API for fast packet processing in user space. Our goal is to enable breakthrough network performance, using our SmartNIC hardware capabilities and address the performance, scale and security demands of modern software-defined enterprise data centers and public cloud infrastructure.


What you'll be doing:

You will architect, design, and develop the next-generation technology in network acceleration, as well as work with best-in-class technical leaders in this domain.

Engage with customers and architects to understand the requirements and derive the software design accordingly.

Collaborate with other engineering teams that develop the upper layers applications like virtual switches (OVS, VPP, and etc.) and lower layers like driver, kernel, FW, and HW.