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NVIDIA is looking for Senior Networking Solutions Architect to join its NVIDIA ANZ Team with a focus on NVIDIA Neo Clouds, ideally located in Melbourne or Sydney. Government, Enterprise, Academic and research groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with Neo Clouds, customers, partners and internal teams, to analyse, define, implement and operate large scale Networking projects. The scope of these efforts includes a combination of Networking, System Design, Operations and Automation and being the face of NVIDIA to the customers.
What you'll be doing:
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Primary responsibilities will include building and operating AI/HPC infrastructure for new and existing customers.
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Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting.
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Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement.
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Maintain services once they are live by measuring and monitoring availability, latency, and overall system health with an emphasis on services performance and availability optimisations to meet requirements and SLAs.
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Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.
What we need to see:
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BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.
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At least 5+ years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture.
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Proficiency in configuring, testing, validating, and resolving issues in LAN networks, especially in medium to large-scale HPC/AI environments.
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Advanced knowledge of EVPN, BGP, OSPF, VXLAN protocols.
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Hands-on experience with network switch/router platforms like Cumulus Linux, SONiC, IOS, JunosOS, and EOS.
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Extensive experience delivering automated network provisioning solutions using tools like Ansible, Salt, and Python.
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Ability to develop CI/CD pipelines for network operations.
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Strong focus on customer needs and satisfaction.
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Self-motivated with leadership skills to work collaboratively with customers and internal teams.
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Strong written, verbal, and listening skills in English are essential.
Ways to stand out from the crowd:
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Experience with NVIDIA Spectrum networking in large scale deployments
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Familiarity with cloud networks (AWS, GCP, Azure) is a plus.
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Background with RDMA-based fabrics (Infini Band or RoCE) in HPC or AI environments.
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Experience with High-performance computing architectures. Understanding of Kubernetes and container based microservices and how job schedulers (Slurm, PBS) work.
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Cluster management technologies knowledge (bonus credit for BCM (Base Command Manager) and or Run.AI.) as well as experience with GPU-focused hardware and software (e.g., NVIDIA DGX, CUDA, Network/GPU Operator).
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
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.
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NVIDIA 소개

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
직원 수
Santa Clara
본사 위치
$4.57T
기업 가치
리뷰
4.1
10개 리뷰
워라밸
3.5
보상
4.2
문화
4.3
커리어
4.5
경영진
4.0
75%
친구에게 추천
장점
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
단점
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
연봉 정보
73개 데이터
Junior/L3
Mid/L4
Junior/L3 · Analyst
7개 리포트
$170,275
총 연봉
기본급
$130,981
주식
-
보너스
-
$155,480
$234,166
면접 경험
7개 면접
난이도
3.1
/ 5
경험
긍정 0%
보통 86%
부정 14%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
자주 나오는 질문
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
뉴스 & 버즈
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
News
·
NaNw ago
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
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·
NaNw ago
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
News
·
NaNw ago
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
News
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NaNw ago




