Senior Software Engineer, AI Infrastructure at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Cloud ComputingIndustries

Requirements

Expertise in Kubernetes (K8s) & KubeVirt
Expertise in Virtualization technologies such as Firecracker, KVM, OpenStack, Nutanix AHV & Redhat OpenShift
Extensive experience with Golang and building RESTful web services
Demonstrate understanding of cloud design in the areas of virtualization and global infrastructure, distributed systems, and security
Experience with Docker and Containers
Background with Infrastructure as Code
Experience with AWS (Fargate, EC2, IAM, ECR, EKS, Route53 etc.)
Experience with Continuous Integration and Continuous Delivery
BS or MS in Computer Science or equivalent experience with over 12+ years of hands-on software engineering
Excellent interpersonal and written communication skills

Responsibilities

Building restful cloud services and virtualization frameworks that come together to form our NVIDIA DGX Cloud Reference Architecture, with requirements for high security & maximum performance to support extensive AI workloads
Design, build, and implement scalable cloud-based systems for PaaS/IaaS
Work closely with other teams on new products or features/improvements of existing products
Drive performance tuning and automation
Support, maintain, and document software functionality

Skills

Key technologies and capabilities for this role

KubernetesKubeVirtGolangRESTful web servicesFirecrackerKVMOpenStackNutanix AHVRed Hat OpenShift

Questions & Answers

Common questions about this position

What compensation and benefits does NVIDIA offer?

NVIDIA offers competitive salaries and a generous benefits package.

Is this position remote or does it require office work?

This information is not specified in the job description.

What are the key skills required for this Senior Software Engineer role?

The role requires expertise in Kubernetes (K8s) & KubeVirt, virtualization technologies such as Firecracker, KVM, OpenStack, Nutanix AHV & Redhat OpenShift, extensive experience with Golang and building RESTful web services, plus experience with Docker, AWS services, and Infrastructure as Code.

What is the company culture like at NVIDIA for this team?

NVIDIA is dedicated to delivering GPU-powered services around the world, with a passionate team focused on cloud software development, quality, building cloud-scale systems, and working closely with other teams on new products.

What makes a candidate stand out for this position?

Candidates stand out with experience in Postgres, exposure to Helm Charts & Terraform, a track record of solving complex problems with elegant solutions, prior experience with Rust & Python, delivery of complex projects, load testing frameworks, and secrets management.

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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