NVIDIA

Senior Staff Engineer, End-user Compute Platform

Santa Clara, California, United States

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, Computer Hardware, Software DevelopmentIndustries

Requirements

Candidates should possess a Bachelor’s degree in BSEE or BSCS, along with 12+ years of experience in software engineering, infrastructure, or DevOps. They must have experience working with end-user computing technologies, display protocols, and VDI, and demonstrate proficiency in languages such as Golang, AWS (EC2, VPC), Docker, Terraform, Packer, PowerShell, Bash, and Kubernetes. A strong understanding of cloud infrastructure across multiple providers (AWS, Azure, GCP, OCI) is also required.

Responsibilities

The Senior Staff Engineer will work with a team to develop NVIDIA’s cloud desktop platform, collaborating with infrastructure and networking teams to optimize performance. They will assist in shaping the cloud desktop strategy through architecture and design decisions, ensuring high-quality code delivery and following standard methodologies. Furthermore, they will optimize service performance, participate in design reviews, and support continuous improvement by staying current with industry trends, while also supporting the delivery of software products and driving them to completion.

Skills

Software Engineering
Infrastructure
DevOps
Cloud Desktop Platform
Golang
AWS
EC2
VPC
Docker
Terraform
Packer
PowerShell
Bash
Kubernetes
Windows Management
Linux Management
Chef
Salt
Puppet
Ansible
High-performance computing
GPU
End-user computing
Display Protocols
VDI
Cloud Infrastructure

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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