[Remote] Senior Systems Engineer - Software at NVIDIA

California, United States

Apply Now

Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

BS in Computer Science, Information Systems, Computer Engineering (or equivalent experience)
At least 12 years of overall experience
5-7 years of proven experience in large scale software development
Experience building and delivering services on Kubernetes
Proficiency with cloud-native infrastructure (AWS, GCP, Azure, OCI)
Collaborated with teams to write software to support cloud services at scale
Ability to troubleshoot issues across multiple layers: infrastructure, Kubernetes, application runtime
Strong proficiency in Golang
Experience designing and managing Kubernetes Custom Resource Definitions (CRDs)
Knowledge of managed Kubernetes services and scaling strategies
Experience developing auto-scaling infrastructure components and incident response and root cause analysis

Responsibilities

Develop software systems to support large scale deployments of cloud infrastructure
Design, develop and distribute APIs to support Infrastructure as Code (IaC) automation and deployment workflows
Contribute to multiple source code projects to fulfill NVIDIA requirements with software services
Work and collaborate with engineering managers, architects, designers, and frontend engineers to deliver high quality software
Automate the validation of software solutions with unit and integration tests
Innovate with other engineers on proposed designs and product direction
Openly share successes and failures in a no blame environment

Skills

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.

Land your dream remote job 3x faster with AI

Try Jobo Free