דרושים » הנדסה » Software manager, infra tools ai team

we have been transforming computer graphics, pc gaming, and accelerated computing for more than 25 years. it's a unique legacy of innovation that's fueled by great technology-and amazing people. we are now seeking a highly motivated software verification manager to join our switching group, working on sonic network os. in this role, you will manage sonic verification team that will develop automatic tests and lead regression analysis for sonic os running over switches.
what you'll be doing:
lead and mentor sonic software verification team; set technical direction, define priorities, and grow team capabilities
design and implement robust, maintainable, and efficient automated TEST suite for sonic os which is an open-source nos
lead regression analysis for sonic nos following regression automated tests
cross-functional work with sonic design teams, QA, architecture, fw/sdk/sai/platform teams.

We are looking for an Engineering Manager to join our Network System Validation group. You will work on system validating advanced networking solutions across our complex AI cluster environments. The group is a high-performance engineering force that treats validation as a first-class software problem. We build systems, frameworks, and benchmarks that prove our network's correctness and performance at scale. In this role you will lead the validation direction and engineering excellence of one of our technology validation teams. This is a management role for a technology leader who can own the technical roadmap and execution, mentoring a team of high-performance engineers, and push our network to its speed-of-light limits. This role combines the development of methodologies and automation tools with system validation, performance analysis, and investigation of cutting-edge AI networking technologies at scale.

What youll be doing:

Lead, mentor, and coach a team of software development and system validation engineers.

Review system and product requirements, design validation methodologies, develop comprehensive test plans, functional and performance, for networking technologies in large-scale AI cluster solutions.

Develop and maintain benchmarks, automation tools and scripts for test execution, environment setup, log collection, and data analysis.

Lead end-to-end investigation of complex issues by reproducing real-world scenarios, analyzing logs, telemetry, packet captures, and system metrics to identify functional issues and performance bottlenecks, triaging problems across the hardware and software stack, and driving them to root cause and resolution.

Collaborate deeply with software and hardware development teams to debug networking technologies, including NCCL, RoCE, RDMA, and related software components using targeted experiments and code inspection.

Profile and research AI training and inference workloads, correlating application behavior with network and system telemetry to identify scalability and performance limitations.

Document findings, communicate technical results, and continuously improve validation methodologies, automation environments, and engineering processes.

Foster a team culture centered on software quality, accountability, and technical excellence.

We are seeking a talented and driven Senior Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domains of high-speed networking, virtualization, and security. You will play a key role in validating and testing complex software products that support Ethernet and InfiniBand protocols, delivering advanced networking, storage, and security services for cloud, compute, and AI workloads.

What Youll Be Doing:

Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products.

End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test planning through to final implementation and full automation.

System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools.

Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools.

Collaboration & Communication: Work closely with software, DevOps, architecture, and product teams to define test requirements, coordinate releases, and ensure high-quality product delivery.

Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.

Defect Analysis: Analyze test results, file defects, and track issues to closure, ensuring robust and scalable solutions.

We are looking for a creative and motivated Software Engineer to join our SONiC open source NOS team. Our team is responsible for the design and integration of SONiC across our Networking products. In this role, youll have the opportunity to work on next-generation, high-speed networking solutions for AI data centers, contribute to open-source projects, and collaborate with experts across us and the broader SONiC community.

Youll help lead the development of new SONiC networking features and chassis management capabilities across our Networking products. Were looking for someone who enjoys solving complex technical challenges, learning quickly, and collaborating in a dynamic and diverse team environment.

What youll be doing:

Design, integrate, and deliver new features as part of the SONiC release train across our Networking products.

Develop networking and chassis management capabilities for next-generation platforms.

Work in a Continuous Deployment environment with fast development and deployment cycles.

Collaborate with experienced teams across our Networking and with members of the broader SONiC open-source community.

Develop high-quality, production-ready code that is published and reviewed in leading open-source environments.

Take ownership of features from design and implementation through integration and delivery.

We are looking for an excellent Software Manager to join the Switch SDK Group and lead a team of powerful software engineers. You will join the SDK group and take our product to next level, working closely with various other design and architecture teams and gain a deep understanding of our products and technologies. We have been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technology-and amazing people.

Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. Youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

What you'll be doing:

Leading and managing a dynamic team of engineers, ensuring smooth and efficient project execution.

Developing and implementing our Ethernet SDK with a focus on high-performance and reliability.

Collaborating with teams from other subject areas to identify technical requirements and successfully implement innovative solutions.

Following established guidelines and standards to ensure the delivery of high-quality products.

Continuously striving for excellence, improving team performance, and driving innovation.

we are seeking a talented and driven senior software Verification engineer to join our innovative team and tackle sw verification challenges in the domains of high-speed networking, virtualization, and security. you will play a key role in validating and testing complex software products that support ethernet and infiniband protocols, delivering advanced networking, Storage, and security services for cloud, compute, and ai workloads.
what you'll be doing:
develop and automate testing: design, implement, and maintain automated TEST scripts and frameworks (primarily in Python ) to verify the correct functionality of our software products.
end-to-end feature ownership: deep dive into feature sets, taking responsibility from TEST planning through to final implementation and full automation.
system & integration validation: validate software functionality and performance through system -level and integration testing, utilizing Linux -based environments and virtualization tools.
TEST environment management: set up, maintain, and optimize TEST environments using Linux, docker, virtual machines, and other modern tools.
collaboration & communication: work closely with software, DevOps, architecture, and product teams to define TEST requirements, coordinate releases, and ensure high-quality product delivery.
continuous improvement: drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.
defect analysis: analyze TEST results, file defects, and track issues to closure, ensuring robust and scalable solutions.
 
we are committed to fostering a diverse work environment and proud to be an equal opportunity employer. as we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

we are powering the world's most advanced ai factories. keeping them running depends on our ai ops platform for large-scale ai infrastructure - continuously ingesting telemetry from gpus, nics, switches, and links across the fleet, and delivered both as a high-scale saas service and as self-contained on-premises software for enterprise customers.
we are looking for a senior software engineer to help make this platform deployable, operable, and scalable across customer-controlled environments ranging from a single node to tens of thousands of gpus. this role sits at the intersection of platform software and runtime reality: packaging, configuration, deployment automation, upgrades, survivability, and large-scale operational correctness.
what you'll be doing:
build the deployment platform underneath the product: packaging, configuration, environment validation, upgrade paths, rollback flows, and runtime safeguards.
own deployability across kubernetes, cloud, on-prem, and restricted or air-gapped environments.
design and improve the mechanisms that make the system installable and supportable at scale: helm charts, deployment manifests, configuration schemas, dependency validation, readiness checks, and operational tooling.
partner with backend and feature teams to ensure services are production-ready on day 1 and still correct on day 400.
improve platform resilience: design for partial failure, misconfiguration, restarts, state loss, and degraded environments.
turn scale and benchmark findings into concrete deployment guidance, sizing recommendations, and supported topologies.
help evolve the platform from legacy deployment models toward a modern kubernetes-based operational model.

we have been defining computer graphics, pc gaming, and accelerated computing for more than 25 years. with an outstanding legacy of innovation, driven by phenomenal technology and extraordinary people, we are looking for a distinguished engineer to help shape the future of ai infrastructure. as part of our advanced development and research efforts, you will drive technical vision and innovation across the ai software stack, spanning gpu computing, rdma, nvlink, Storage, and large-scale distributed systems. you will research next-generation system designs, influence product and platform direction, and help define how massive-scale ai environments are built, optimized, and operated through hardware-software co-design.
what you'll be doing:
research, define, and drive co-design solutions across ai software stacks involving gpu computing, rdma networking, nvlink interconnects, Storage, and large-scale distributed infrastructure
lead deep technical investigations and proof-of-concept development in areas related to distributed ai, deep learning systems, high-performance computing, virtualization, memory management, and large-scale systems design
work closely with multiple teams across the company to advance next-generation ai infrastructure technologies and influence cross-stack co-design decisions
analyze end-to-end system bottlenecks and opportunities across compute, networking, memory, and Storage layers to improve performance, scalability, and efficiency
guide the design of environments that support massive-scale ai training and inference workloads in production
 we want to hear from you!
we are committed to fostering a diverse work environment and proud to be an equal opportunity employer. as we highly value diversity in our current and future employees, we do not discriminate, including in our hiring and promotion practices, on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

we are looking for a senior software system architect to join the team shaping networking management systems, aiops platforms, and applied ai solutions for ai cluster operations. you will work with customers, internal operational teams, fellow architects, product, and engineering teams to translate sophisticated operational challenges into clear requirements and scalable architectures, and carry these capabilities through implementation and delivery into products that deliver measurable value for customers.
we seek someone with deep technical judgment, a broad system perspective, and the persistence to move ideas into production-someone who asks sharp questions, catches consequential details, and builds alignment across teams.
what you'll be doing:
define architectures for management and intelligent automation capabilities spanning telemetry, observability, remediation, and operational automation.
engage customers, cluster operations teams, and compute authorities to understand their challenges and architect solutions that improve operational efficiency, reliability, and scalability.
partner with product and engineering to translate architectural recommendations into prioritized features and drive their inclusion in the plan of record (por), defining requirements, dependencies, and success criteria.
resolve system tradeoffs across hardware, firmware, software, and data platforms, with attention to scale, reliability, performance, and usability.
guide design decisions through implementation, with hands-on development of targeted proofs of concept (pocs) and technical investigations as needed to validate critical assumptions.
offer strategic direction and system -level leadership throughout teams, guiding engineering choices and promoting sophisticated, ai-centered operating practices.

We are looking for an experienced SW Engineer with desire and ability to contribute and lead cutting edge Network Management System of most powerful super-computers in the world. Our team is growing, and we are looking for hardworking and self-motivated engineers to lead building of advanced, high scale SDN management solutions. You will be part of a dynamic team, working with amazing people. This crucial role will give you a rare opportunity to craft and deliver a new class of Data Center NMX product line.

What you'll be doing:

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

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