Overview
Remote
On Site
USD 168,000.00 per year
Full Time
Skills
Network Design
Data Center Design
Artificial Intelligence
Machine Learning (ML)
Collaboration
Innovation
Pivotal
LAN
WAN
SD
Sustainability
Network Operations
Computer Hardware
Infrastructure Architecture
Ethernet
TCP/IP
VLAN
Border Gateway Protocol
MPLS
QoS
Optical Networking
Cabling
Optical Fiber
Cloud Computing
High Availability
Scalability
Ansible
Terraform
Scripting
Bash
Switches
Linux
InfiniBand
Leadership
Network Security
Remote Access
Management
Swift
Issue Resolution
Customer Satisfaction
Documentation
Cisco
Cisco Certifications
Arista
Juniper
JNCIE
NCP
Remote Direct Memory Access
Storage
FOCUS
Optimization
Load Balancing
Algorithms
Open Source
Python
GitHub
Kubernetes
Docker
Performance Monitoring
Grafana
Computer Networking
Adobe AIR
Network
Testing
Recruiting
Promotions
SAP BASIS
Law
Job Details
Join the NVIDIA Enterprise Products team as a Senior Network Engineer, where your passion and expertise in networking, compute hardware, storage, and cloud-native software will be pivotal. We are on the lookout for a multifaceted professional with a profound understanding of large network design, distributed systems, and datacenter architecture. As a key member of our team, you will engage in a collaborative, multi-disciplinary approach to craft scalable datacenter implementations for enterprise-grade AI systems. Additionally, key aspects of your role will be the automation of repetitive networking activities. Your role involves translating high-level goals into detailed specifications for platforms and datacenter architectures, leading to the development of robust implementations. Collaborating with other specialists in compute hardware, software, and storage domains, you will be developing, validating, and profiling reference cluster designs specifically tailored for enterprise datacenter environments. At the core of our mission is the building and validation of on-prem cloud-ready solutions that seamlessly interoperate across various cloud service providers (CSPs), enabling the realization of hybrid enterprise AI solutions. If you are ready to embark on a journey that combines innovation, collaboration, and groundbreaking technology, then this opportunity is tailored for you.
What you'll be doing:
What we need to see:
Ways to stand out from the crowd:
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us and, due to unprecedented growth, we are growing fast. If you're a creative and autonomous person with a genuine passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 9, 2025.
NVIDIA is 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.
What you'll be doing:
- Own the deployment of scalable datacenter networking for enterprise AI/ML systems.
- Deploy and validate cluster designs, optimizing them for enterprise facilities.
- Collaborate closely with other experts in network, compute, software, and storage to drive innovation.
- Lead multi-disciplinary projects, addressing high-level goals and complex challenges.
- Engineer on-premises cloud-native solutions that flawlessly integrate with diverse cloud providers.
- Assume a pivotal role for the compute and hardware architecture domain, driving expertise and excellence.
- Showcase a multidisciplinary understanding of Ethernet, InfiniBand, data center LAN (local area networking), WAN (wide area networking), and SD (software-defined) networks.
- Conduct TCO analysis, optimizing datacenter efficiency for cost-effectiveness.
- Finding opportunities for operational improvements and collaborating with teams to build solutions that improve excellence and sustainability in network operations.
What we need to see:
- Bachelor's degree or equivalent experience, with 10+ years in hardware or infrastructure architecture.
- Proven expertise in designing and deploying on-prem cloud-native platforms, with deep understanding of scaling and resilience at chassis, rack, cluster, and data center levels.
- In-depth knowledge of networking protocols and technologies including Ethernet, TCP/IP, VLAN, VXLAN, BGP, EVPN, MPLS, QoS, and Infiniband. Skilled in evaluating, designing, and optimizing complex network architectures for performance, security, and resilience.
- Extensive experience with optical networking and cabling, fiber types, and transceiver modules (SFP/SFP+, QSFP, OSFP), including their signal modulation, FEC, and compatibility with multiple switch platforms and software configurations.
- Strong grasp of cloud-native systems with emphasis on high availability, scalability, and security in compute environments. Demonstrated system-level thinking to enhance reference designs.
- Hands-on experience with infrastructure as code and monitoring tools: Base Command Manager (BCM), Ansible, Terraform, Grafana, Prometheus.
- Proficient with Linux (including Cumulus OS), and scripting languages such as Python and Bash.
- Familiarity with NVIDIA networking products including Mellanox switches, Cumulus Linux, BlueField DPUs, and Infiniband technologies.
- Demonstrated leadership in cluster design, especially in networking, security, and remote access management. Experienced in working independently and with distributed teams across time zones. Collaborates closely with SMEs to ensure swift production issue resolution and maintain customer satisfaction.
- Strong written and verbal skills for effectively communicating complex technical concepts to diverse audiences. Capable of creating clear documentation including Methods of Procedure (MoPs) and deployment guides.
Ways to stand out from the crowd:
- Certified in key vendor programs including Cisco (CCIE), Arista (ACE), Juniper (JNCIE), and NVIDIA (NCP-AIN), with deep expertise in RDMA technologies such as RoCE.
- Broad experience across Networking, Compute, Storage, and Platform Sizing, with a focus on Infrastructure Cost Optimization and TCO analysis for datacenter environments.
- Strong understanding of network topologies, load balancing, and congestion control algorithms; experienced in both practical and standards-based approaches, including engagement with open-source communities.
- Proficient in Python with a personal GitHub showcasing relevant projects. Skilled in Kubernetes, Docker, and performance monitoring tools such as Grafana, Prometheus, and Datadog.
- Hands-on experience with networking simulators including NVIDIA Air, GNS3, and EVE-NG, for digital twin and virtual network testing.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us and, due to unprecedented growth, we are growing fast. If you're a creative and autonomous person with a genuine passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 9, 2025.
NVIDIA is 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.