דרושים » תוכנה » Senior Technical Marketing Engineer - AI Networking

We are looking for an experienced Software Engineer to take part in the design and development of next-generation performance engineering frameworks. In this role, you will focus on Python-based benchmarking and analysis systems, while also contributing to high-performance components in C/C++. Youll work on challenges at the intersection of networking, distributed computing, and AI, building tools that run at scale on clusters, clouds, and data centers.

What you'll be doing:

Design and implement performance benchmarking and analysis frameworks for next-generation AI and HPC workloads.

Work across Python (primary) and C/C++ (for performance-critical modules) to deliver reliable and scalable tools.

Take full technical ownership of our core telemetry engine, including utilizing Jupyter Notebooks and other data analysis frameworks to help performance engineers analyze telemetry results.

Contribute to our DevOps environment, owning the CI/CD pipelines and release processes for your projects.

Drive technical innovation in the performance engineering ecosystem, including taking part in building our next-gen agentic AI assistant.

We are looking for an experienced Software Engineer to take part in the design and development of next-generation performance engineering frameworks. In this role, you will focus on Python-based benchmarking and analysis systems, while also contributing to high-performance components in C/C++. Youll work on challenges at the intersection of networking, distributed computing, and AI, building tools that run at scale on clusters, clouds, and data centers.

What you'll be doing:

Design and implement performance benchmarking and analysis frameworks for next-generation AI and HPC workloads.

Work across Python (primary) and C/C++ (for performance-critical modules) to deliver reliable and scalable tools.

Take full technical ownership of our core telemetry engine, including utilizing Jupyter Notebooks and other data analysis frameworks to help performance engineers analyze telemetry results.

Contribute to our DevOps environment, owning the CI/CD pipelines and release processes for your projects.

Drive technical innovation in the performance engineering ecosystem, including taking part in building our next-gen agentic AI assistant.

The Ecosystems Engineering group is seeking a Principal Software Engineer to join our rapidly growing team. This is a game-changing opportunity to join an open-source AI platform that harnesses the power of hybrid cloud to drive innovation. In this role, you will work with a diverse team of highly talented engineers on designing, implementing, and productizing new AI solutions, with a focus on deep integration of the AI stack, hardware accelerators, and leading OEMs and Cloud Computing Service Providers (CCSPs).

You'll play a critical role in shaping the next generation of hybrid cloud platforms by directly contributing to our innovative AI and Edge products. This is your chance to be at the forefront of AI's exciting evolution, joining an ecosystem that champions continuous learning, career growth, and professional development. You'll also collaborate closely with product management, other engineering teams, and key partners and lighthouse customers.

What You Will Do:

Architect and lead the implementation of new features and solutions for our AI and Edge products.

Explore deep code integration into various products, ensuring optimal integration between the company`s portfolio, hardware accelerators and partners.

Provide technical vision and leadership on critical and high-impact projects, ensuring non-functional requirements including security, resiliency, and maintainability are met.

Integrate software that leverages hardware accelerators (e.g., DPUs, GPUs, AIUs) and perform performance analysis and optimization of AI workloads with accelerators.

Work with major AI and hardware partners such as NVIDIA, AMD, Dell, and others on building joint integrations and products.

Collaborate closely with UX, UI, QE, and cross-functional teams to deliver a great experience to our partners and customers.

Coordinate with team leads, architects, and other engineers on the design and architecture of our offerings.

Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats.

Mentor, influence, and coach a distributed team of engineers, contributing to a culture of continuous improvement by sharing recommendations and technical knowledge.

We are looking for a Senior Software Engineer to join a newly established team focused on the networking of large scale AI clouds.

Our goal is to enable breakthrough network performance, using our 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.

You will leverage the DOCA SDK to program the data center infrastructure and accelerate it using our SuperNICs and DPUs.

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

We are looking for a Senior Software Engineer to join a newly established team focused on the networking of large scale AI clouds. Our goal is to enable breakthrough network performance, using our 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.

You will leverage the DOCA SDK to program the data center infrastructure and accelerate it using our SuperNICs and DPUs.

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

We are looking for a Software Manager for Ethernet Simulation to lead the development, verification of our Ethernet simulation environment. This environment plays a critical role in enabling large-scale system validation and early software development across networking, firmware, and driver domains - without reliance on physical hardware.

In this role, you will manage a team responsible for building scalable, high-performance simulation tools that model our advanced Ethernet and networking architectures. Youll combine deep technical expertise with strong leadership and cross-functional collaboration to drive innovation, accuracy, and reliability in the simulation ecosystem.


What Youll Be Doing:

Lead, mentor, and grow a team of software engineers developing our Ethernet simulation.

Define the technical roadmap for Ethernet simulation architecture, development and verification strategy.

Oversee the implementation and validation of complex Ethernet behaviors, protocols, and performance models in simulation.

Collaborate closely with hardware, firmware, and software teams to ensure simulation accuracy, scalability, and feature alignment with real silicon.

Balance hands-on technical guidance with strategic leadership performing design reviews, defining best practices, and ensuring delivery excellence.

Foster a culture of collaboration, technical curiosity, and continuous improvement within the simulation organization.

We are seeking a driven Software Verification Engineer committed to excellence to join our innovative team and tackle challenges in high-speed networking. You will play a key role in simulating InfiniBand networks and validating complex software products that deliver advanced networking services for high-performance computing, machine learning, and AI workloads.

What Youll Be Doing:

Design and develop applications that simulate large-scale, high-speed networks, which are essential for testing software features that cannot be validated on physical hardware.

Build automated tests in a simulated environment for high-end hardware and software to ensure the robustness and reliability of our networking software stack using advanced testing platforms.

Collaborate with Software, Firmware development, and Architecture teams to foster open communication, understand new network technologies, and work together to ensure accurate modeling in your simulation applications.

Improve product quality by enhancing test coverage and developing comprehensive verification strategies.

We are looking for a Network/Storage Test Engineer to join our End-to-End Cloud solution team. You are going to be part of the E2E Verification team with the main goal of testing and be part of defining the most sophisticated Ethernet/InfiniBand NIC and Switch features and topologies, which build fast enablement for the products to meet growing market demands. The ideal candidate will engage in testing and defining of Networking industry-leading systems and will bring with him an ability of the fast learning of new features, technologies, and protocol.

What you'll be doing:

Contribute to design review and product features requirements under the whole Ethernet/InfiniBand NIC & Switch portfolio and AI network.

Design and build setup topologies for appropriate product coverage with an emphasis on an emulation of customer large scale / complex environments.

Design, mentorship for testing automation team, and implement tests for the new features, as part of our growing network switch and adaptors division.

Lead innovation approach by prepare and deploy different POC activities, based on the growing field demands.

Generate comprehensive test reports during release execution procedure, assist with reproduction and debugs complex customer use cases, with determination of the issue root cause, be an engineering PIC for the full verification cycles of the customer use cases fixes provided by R&D team.

Execute end-to-end test scenarios in different scopes: Regression, Performance, Functional and Scale; Report the progress of testing and provide summary reports of testing activity.

Are you ready to make a significant impact by tackling SW verification challenges? We are seeking an exceptional candidate to work with world-class technologies in the domains of High-Speed Communication and Virtualization for our most advanced markets and customers. Our products encompass Ethernet and InfiniBand protocols, delivering a wide range of cutting-edge networking, storage, and security services for cloud, complex compute, and AI workloads. As a Software Verification Engineer, you will play a crucial role in ensuring on-time and high-quality releases.

What Youll Be Doing:

Take an active part in development, integration, and verification with R&D.

Develop and maintain test automation frameworks and scripts using Python.

Identify, analyze, and report software defects, inconsistencies, and other quality issues.

Drive design verification flows and methodologies improvements.

Perform functional, integration, and regression of software applications and networking protocols.

Work with planning and tracking systems to manage the release progress and build release indicators.

Participate in code reviews, provide feedback, and suggest improvements to enhance the quality and maintainability of the software.

Continuously monitor and evaluate the effectiveness of test processes and methodologies, recommending improvements as necessary.

Stay up to date with industry best practices, new technologies, and emerging trends in software verification and QA.

Make better product quality by improving test coverage.

This Senior Data Science Engineer role will focus on designing and implementing Networking solutions based on AI for both the enhanced monitoring of NVIDIAs data centers and the optimization of NVIDIA networking products. Developing such platforms provides unique vital signs and uses them to identify performance degradation, component failures and abnormal usage patterns.
As a Senior Data Science Engineer in the Networking AI group, you will work closely with many different teams, solving problems with their engineering teams, and playing a key role in building successful NVIDIA solutions
What You'll Be Doing:
We expect you to conduct in-depth analysis of datasets, raise and validate hypotheses, extract significant features, and build, train, and deploy models on top of them.
Design and implement high-performance algorithms and data structures applicable to large-scale datasets and distributed processing. You will own the optimization and refinement of models to meet production-level performance and accuracy.
Collaborate with cross-functional teams to help define and execute the technical strategy for integrating AI-driven monitoring and optimization into our networking systems.
Build and test prototypes to demonstrate proof-of-concept and present technical findings to stakeholders and team leadership.
Analyze technical trade-offs in different solutions and design and implement robust systems for improving the throughput of analytics on large data streams.
Lead the technical implementation and integration of data science models into production environments.