Engineering Manager, Network - Data Center and Cloud (Remote)
CrowdstrikeSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI, High Performance Computing, Data CentersIndustries
Requirements
- MS or PhD in Electrical Engineering, Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or equivalent experience
- 12+ years of experience in building, managing and supporting large scale hybrid networks
- Experience developing automation pipelines with Python, Ruby, Go or other languages used in infrastructure automation
- Expert in networking technologies: InfiniBand, Ultra Ethernet, ROCEv2, DCQCN, TCP/UDP, IPv4/IPv6, BGP/MP-BGP, VPN, L2 switching, EVPN, VxLAN, Segment Routing, MPLS
- Experience automating network infrastructure
- Experience using an automated configuration management system (Python, Terraform, Chef, Puppet, Ansible, Salt, etc.)
Responsibilities
- Lead the architecture, design, and deployment of global-scale DCs inter-connects and fabric for HPC, AI, and GPU computing clusters
- Develop high-performance data center fabric using InfiniBand, Ultra Ethernet and related technologies
- Optimize carrier interconnects, intra and inter DC routing, and dark fiber deployments to ensure low latency and high reliability
- Partner with system, OS, GPU, and HPC teams to deliver scalable, highly available networks for extreme-performance workloads
- Implement network monitoring, telemetry, solving, and continuous performance improvement processes
- Drive technology selection, vendor engagement, and lifecycle management for Data Center hardware and software
- Collaborate with internal product managers to develop NVIDIA on NVIDIA solutions
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What experience level is required for this Principal Network Engineer role?
The role requires 12+ years of experience in building, managing, and supporting large scale hybrid networks, along with developing automation pipelines.
What are the key networking technologies I need expertise in for this position?
Expertise is required in InfiniBand, Ultra Ethernet, ROCEv2, DCQCN, TCP/UDP, IPv4/IPv6, BGP/MP-BGP, VPN, L2 switching, EVPN, VxLAN, Segment Routing, and MPLS.
What education is required for this role?
An MS or PhD in Electrical Engineering, Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or equivalent experience is required.
Is this a remote position, or is there a location requirement?
This information is not specified in the job description.
What is the salary or compensation for this Principal Network Engineer position?
This information is not specified in the job description.
NVIDIA
Designs GPUs and AI computing solutions
About NVIDIA
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.
Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees
Benefits
Company Equity
401(k) Company Match
Risks
Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.
Differentiation
NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.
Upsides
Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.
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