דרושים » תוכנה » Senior Software Engineer, DPU Platform

We are looking for an excellent highly motivated Senior SW Engineer with experience in embedded software development to join the software testing team in the Data Processing Unit (DPU) SW Group. We are looking for a candidate with the ability to thrive in an environment with complex software and hardware designs, take ownership and lead the SW testing of key components of the DPU. The role includes working closely with HW, FW, and SW teams all over the world, and take our product to next level.

What youll be doing:

Build automated verification environment for high-end hardware and software which is at the forefront of innovation.

Develop and maintain test automation frameworks and scripts using Python.

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

Make better product quality by improving tests coverage.

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

Drive improvements for performance, quality, stability around SW acceleration solutions.

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

we are leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. we are looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
We are looking for highly motivated Senior Software Engineers to work on our GPU NVLink Fabric Networking team. Youll be part of a team responsible for defining the next generation communications standards and products building on our current NVLink and NVSwitch technology.
What you will be doing:
Design, develop, and maintain system-level software to enable high-performance GPU-to-GPU communication.
Collaborate closely with cross-functional teams including hardware, firmware, system software to build and deliver next-generation GPU networking solutions.
Contribute to scalable and reliable GPU fabric architecture for large compute clusters.
Align software development with customer needs and real-world deployment environments.

we are looking for an outstanding Software Verification Engineer for our company SW Host Verification group. You will closely work with our company Driver and SDK developers, performance team and gain a deep understanding of our companys Networking products and technologies on top of our company BlueField network cards. You will lead feature verification from design through implementation to integration into frameworks, develop robust infrastructure, and work collaboratively with cross-functional teams.
This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines that empower the most advanced data centers in the world. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.  We are a strong believer in developing our employees and giving them the tools to succeed.  
What youll be doing: 
In this role, you will work closely with developers to test new components including crafting and executing unit, functional, and performance tests. 
Develop a verification environment using Python to qualify the product from functional and performance perspectives. 
Analyze coverage measures to identify verification holes and to show progress toward product development and releases. 
Identify and write all types of coverage measures for stimulus and corner cases. 
Be responsible for verification of system design and software using advanced verification methodologies. 

  

Run:ai, now part of our company, has evolved AI infrastructure by merging GPU virtualization with Kubernetes-native capabilities. Our world class AI platform allows organizations to improve productivity and efficiency for data scientists and machine learning engineers. With deep Kubernetes expertise and a focus on innovation, we are dedicated to developing cutting-edge technologies, delivering the best user experience for our customers, and providing deep visibility into workload performance through rich metrics that help users optimize their AI workloads. We are looking for highly skilled software engineers to join our Platform Group and help shape the future of AI infrastructure.
The role of a Senior Software Engineer in the Platform Group is to design and develop scalable, high-performance systems that support the next generation of AI workloads. You will collaborate with experts across domains, tackle complex challenges, and drive innovations that empower our users to push the limits of AI capabilities.
What youll be doing:
Designing and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.
Building and optimizing microservices-based architectures using Kubernetes and cloud-native technologies.
Collaborating closely with backend engineers, product managers, and other collaborators to deliver impactful solutions.
Writing clean, maintainable, and testable code in Go
Conducting code and design reviews to uphold high-quality standards and mentor team members.

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 seeking a senior security architect who is passionate about advancing cybersecurity in networking products to join our team. This is an opportunity to work on groundbreaking projects to secure high-performance networking systems.

What you'll be doing:

Collaborate across the company to guide the direction of a converged NIC, working with hardware, software, research, and product teams.

Research, design, develop, and implement architecture solutions (Hardware and software) meeting internal and external security requirements and standards.

Apply innovative hardware security primitives to enable next-generation secure firmware and software supported by innovative hardware.

Collaborate with internal and external partners on the implementation of open-source software.

Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods.

Work with customers, partners to identify and address security issues and threats.

Realize your potential by joining the leading performance-driven advertising company!
As a Senior MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior MLOps Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will work with system teams and the CPU Architecture team to develop an understanding of the Central Processing Unit (CPU), System on a Chip (SoC), performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision making. You will correlate performance projections with measured post-silicon data.The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our customers, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Write product or system development code.
Design, develop, test, deploy, maintain, and improve Central Processing Unit (CPU) software modeling and other software tools.
Manage project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SoC performance modeling team, and other company Software teams.

We are seeking a passionate and innovative Senior Software Engineer with expertise in Linux services and internals to join our Cumulus Linux team. Cumulus Linux is a leading open-networking operating system and a cornerstone of the AI Factory the next-generation data center designed to power the training, fine-tuning, and deployment of AI models at scale. As part of the team, you will design and implement core features of Cumulus Linux that enable the worlds most advanced data centers. You will work closely with cross-functional architecture and design teams, shaping the future of our networking technologies while gaining hands-on experience across our hardware and software ecosystem from advanced networking ASICs to large-scale distributed systems.

What you'll be doing:

Lead the development and integration of Cumulus Linux on next-generation our switch platforms.

Design and develop new functionalities, while also maintaining and enhancing existing Linux system services.

Work collaboratively with team members, product managers, architects, QA, and other engineering teams to deliver high-quality solutions.

Innovate and rapidly develop proof-of-concept (POC) prototypes that can evolve into fully developed products or solutions.

Engage closely with customers to understand their challenges, use cases, and deployment strategies, and devise innovative solutions.

We are looking for a Senior Embedded Engineer to lead the design and optimization of next-generation software for advanced networking solutions. This position offers more than just a coding job, its an opportunity to lead projects, tackle significant challenges, and make an impact in a fast-paced, agile environment.

What You'll Do:

System Architecture & Design:

Define, design, and oversee system architecture for embedded systems, including Linux internals and bootloaders.
Ensure systems meet performance, reliability, and scalability requirements for cutting-edge applications on routers.
Development & Optimization:

Develop, debug, and optimize embedded C software and kernel modules.
Architect and refine software for networking technologies, ensuring low latency and secure performance.
Drive code quality through hands-on coding, code reviews, and adherence to industry best practices.
Project Management:

Oversee the full development cycle, from concept through deployment, managing timelines, milestones, and resources.
Collaborate with cross-functional teams, including hardware, firmware, and network engineers, to align product goals and technical roadmaps.