Senior Automation Engineer - Networking at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

BS or equivalent experience
5+ years of relevant industry experience
Proficiency in Python, Go, Ansible, and Cumulus Linux (with experience in Arista and other network switches a plus)
Experience with network automation frameworks such as Nautobot and expertise in designing and implementing network configuration management systems
Knowledge of database technologies including PostgreSQL, TimescaleDB, Clickhouse, and experience with cloud architecture and network security concepts
Familiarity with containerization using Kubernetes (on-premises, EKS) and streaming telemetry protocols like gRPC/GNMI
Ways to Stand out
Experience with zero-touch provisioning/ONIE and open networking technologies
Knowledge of DNS, storage technologies, and message buses like Kafka
Experience with Django or other web frameworks for building automation UI interfaces
Familiarity with container orchestration using Kubernetes (on-premises, EKS) and telemetry systems (ELK, Grafana, Prometheus, Loki)

Responsibilities

Bring extensive development experience and a passion for innovation
Help transform workflows and organization into a centrally orchestrated configuration management framework, operating at scale across geographies
Own and drive integrations with various service APIs such as Cloud Service Providers, to automate creation of environments and auto populate data sources
Build on open source intent software, designing and implementing data structures and UI interfaces to automate processes from equipment purchase to device config generation to deployment to operations
Streamline deployment mechanisms and life cycle operations
Develop modern service architectures around streaming data and event pipelines
Work with infrastructure Domain Experts on true, zero touch deployment solutions and utilizing best of breed high performance computing management solutions
Be a proactive problem solver, looking out for new opportunities to improve services and customer experience
Communicate readily with peers across the organization, building relationships and collaborating enthusiastically

Skills

Python

Ansible

Cumulus Linux

Arista

Nautobot

PostgreSQL

TimescaleDB

Clickhouse

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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