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Cadmusresources
Palo Alto, CA, United States
About the job Network Engineer / Snr Network Engineer Attractive Remunerations & Benefits Friendly working environment with strong support team Responsibilities: Able to oversee customer requirement and translate to feasible solution design. Install, test and commission of IT and IP network infrastructure according to best practices, but not lim
Job Source: CadmusresourcesCEREBRAS SYSTEMS INC.
Sunnyvale, CA, United States
Cerebras Systems has pioneered a groundbreaking chip and system that revolutionizes deep learning applications. Our system empowers ML researchers to achieve unprecedented speeds in training and inference workloads, propelling AI innovation to new horizons. The Condor Galaxy 1 (CG-1), unveiled in a recent announcement, stands as a testament to Cere
Job Source: CEREBRAS SYSTEMS INC.ČD - Telematika
Palo Alto, CA, United States
Společnost ČD-Telematika a.s. je silnou a stabilní společností poskytující širokou škálu služeb z oblasti telekomunikací a informatiky se smluvně garantovanými parametry. K poskytování služeb jí slouží jedna z nejrozsáhlejších telekomunikačních infrastruktur v ČR, centrální úložiště dat, serverové farmy, vývojová, servisní a další specializovaná pr
Job Source: ČD - TelematikaRTL Networks
Sunnyvale, CA, United States
Position Title: Network Engineer Location: Sunnyvale, CA Salary: $100,000 - $115,000 (DOE) Status: Full-time / On-site Clearance: Secret Required Certification(s): Security+ About Us: RTL Networks, Inc. is a rapidly growing company primarily focused on providing information technology (IT) support services and personnel to various comme
Job Source: RTL NetworksSyntricate Technologies
Sunnyvale, CA, United States
Network Engineer ISIJP00009671 Location: Sunnyvale, CA 6-12 months project Fully Onsite (Only locals) Mode of Interview - Phone and in person later Rounds of interview - 2 to 3 Reports to: IT Director, Network Engineering Roles and Responsibilities: This position has responsibility and authority for: Monitor, manage, troubleshoot, and suppo
Job Source: Syntricate TechnologiesAlltech International, Inc.
Sunnyvale, CA, United States
Alltech is an award winning provider of IT services with nationwide project capabilities. Since 1994, Alltech’s focus on quality support to the Federal Government and Government Integrators has led it to become a leader in the Federal Services marketplace. Description: Providing Network hardware & software expertise in support of the Combined Orb
Job Source: Alltech International, Inc.Zariot Zariot
Palo Alto, CA, United States
In addition to technical expertise, including a demonstrated understanding of network infrastructure and network hardware, we are seeking an individual with an analytical mind, an ability to learn new technologies quickly, and good written and verbal communication skills. Key Qualifications 5+ years of experience in network engineering Real-world
Job Source: Zariot ZariotCENTERRA SOLUTIONS, INC
Milpitas, CA, United States
Job Description Job Description Roles & Responsibilities Centerra looking for motivated and result oriented member to be part the growing team. Job Description: · Contribute to System Integration Testing, User Acceptance Testing of new solution and features per the operational needs · Build the Solution lab with Routers and switches from Juniper/
Job Source: CENTERRA SOLUTIONS, INCSunnyvale, CA, United States
Cerebras Systems has pioneered a groundbreaking chip and system that revolutionizes deep learning applications. Our system empowers ML researchers to achieve unprecedented speeds in training and inference workloads, propelling AI innovation to new horizons.
The Condor Galaxy 1 (CG-1), unveiled in a recent announcement, stands as a testament to Cerebras' commitment to pushing the boundaries of AI computing. With a staggering 4 ExaFLOP processing power, 54 million cores, and 64-node architecture, the CG-1 is the first of nine powerful supercomputers to be built and operated through an exclusive partnership between Cerebras and G42. This strategic collaboration aims to redefine the possibilities of AI by creating a network of interconnected supercomputers that will collectively deliver a mind-boggling 36 ExaFLOPS of AI compute power upon completion in 2024.
The Role
We need to build and evolve our network infrastructure to scale to this AI compute power. We need to ensure that the network is running smoothly and meets stringent performance and availability requirements of RDMA workloads that expects a loss-less fabric interconnect. To improve performance of these systems we constantly look for opportunities across stack: network fabric and host networking, comms lib and scheduling infrastructure.
R esponsibilities
Design, develop, test and operate networking systems to support large scale AI training/inference jobs.
Develop and deploy numerous technologies and network topologies in order to evolve and scale our AI networks.
Work closely with our hardware, software and sourcing teams to develop new networking solutions and influence the future of networking and its associated infrastructure
Define and develop optimized network monitoring systems
Software modelling of network architecture, ML applications and other building blocks to realistically simulate end-to-end performance at scale
Be oncall to learn from real world production challenges and take the lessons to improve current and future generation products.
Minimum Qualifications
Engineering degree, or a related technical discipline or equivalent experience
Expert Knowledge of IB/RDMA/RoCE Networks
4+ years of experience working on networks supporting large scale training workloads
Understanding of RDMA congestion control mechanisms on IB and RoCE Networks.
Hands on experience working with state-of-the-art network equipment and vendors (e.g. Broadcom, Mellanox)
Experience coding in languages like Python, C++, Go, etc
Experience in network automation software leveraging software defined networking principles.
Developed or modified network telemetry and automation tools to make efficient use of infrastructure and resources, related to performance, operation, testing, and incident management.
Experience in designing, deploying and operating networks at scale. Built and managed large scale data center networks or experience with building transports for large scale networks.
Preferred Qualifications
MS of PhD in Computer Science or Computer Engineering with networking focus
Understanding of routing and switching - hardware design and knowledge of forwarding and data planes
Understanding of AI training workloads and demands they exert on networks.
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
Build a breakthrough AI platform beyond the constraints of the GPU
Publish and open source their cutting-edge AI research
Work on one of the fastest AI supercomputers in the world
Enjoy job stability with startup vitality
Our simple, non-corporate work culture that respects individual beliefs
Read our blog: Five Reasons to Join Cerebras in 2024.
Apply today and become part of the forefront of groundbreaking advancements in AI.
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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Email Alert for Network Engineer jobs in Sunnyvale, CA, United States
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