Senior Systems Software Engineer, GoLang at NVIDIA

Redmond, Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, HPC, CloudIndustries

Requirements

BS or higher in Computer Science or equivalent experience
5+ years of meaningful industry experience with a strong Go and Kubernetes development background
User space development and debugging expertise in Linux environments
Experience with APIs and interface design
Outstanding written and verbal interpersonal skills (business level English)
Strong motivation and commitment to learn new skills
Ability to execute all aspects of the software development lifecycle
Ability to manage time in a fast, heavily multitasked environment
Development experience with Rust, Python and/or C, C++
Development experience with distributed systems and concurrent applications, especially in a Kubernetes environment
Experience developing and maintaining enterprise software
Experience deploying, managing, and debugging applications in a Kubernetes environment

Responsibilities

Develop and maintain distributed, robust and scalable Go programs deployed to Kubernetes environments that manage large datacenters
Develop and maintain user-space applications, containers, Go-bindings, and CLI tools
Enable GPU management integration with the state-of-the-art open-source ecosystem, including Kubernetes and Docker
Support internal and external users through bug fixes, documentation, and feature improvements
Maintain high-quality products through robust test coverage

Skills

Key technologies and capabilities for this role

GoKubernetesDockerLinuxContainersCLITelemetryMetricsHPCCloud-nativeGo bindingsUser-space applications

Questions & Answers

Common questions about this position

What experience is required for this Senior Systems Software Engineer role?

Candidates need a BS or higher in Computer Science or equivalent, 5+ years of industry experience with strong Go and Kubernetes development background, user space development and debugging expertise in Linux, and experience with APIs and interface design.

Is remote work an option for this position?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What does the work environment look like at NVIDIA for this role?

This is a dynamic work environment with many exciting opportunities, where you will work closely with the broader NVIDIA team in a fast, heavily multitasked setting focused on accelerated computing and AI.

What makes a candidate stand out for this position?

Candidates stand out with background in containers like Docker and OCI, orchestration frameworks, logging/telemetry, plus development experience in Rust, Python, C/C++, distributed systems, concurrent applications, and enterprise software in Kubernetes environments.

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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