Principal Systems Software Engineer - DGX Cloud at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Cloud ComputingIndustries

Requirements

15+ years of experience with designing and building distributed software systems
Track record of directly supporting systems with external customers, or demanding internal customers
BS/MS degree in Computer Science or related areas (or equivalent experience)
Demonstrated ability to write code in a mainstream systems programming language such as C, C++, Golang, or Rust
Demonstrated ability to design and implement maintainable APIs for consumers
Practical experience with asynchronous programming, type safety, threading models, state machines, and data structures
Background in data persistence (SQL or similar)
Understanding of secure communication protocols (mutual-TLS, IPsec, or similar)
Knowledge of SRE principles (observability, SLOs, logging, etc.)

Responsibilities

Work with NVIDIA internal customers
Design and build scalable software systems to manage NVIDIA’s cloud infrastructure
Participate in responses to real-time operational events
Build network and systems automation software for managing a multi-tenant cloud infrastructure
Participate in open-source communities of software we leverage and build
Present to internal stakeholders and NVIDIA leadership on roadmaps, vision, & demos

Skills

Key technologies and capabilities for this role

CC++GolangRustDistributed SystemsAPIsAsynchronous ProgrammingThreadingNetwork AutomationCloud InfrastructureSystems Programming

Questions & Answers

Common questions about this position

What experience level is required for this Principal Systems Software Engineer role?

The role requires 15+ years of experience with designing and building distributed software systems, along with a track record of directly supporting systems with external or demanding internal customers.

What programming languages are needed for this position?

Candidates must demonstrate the ability to write code in a mainstream systems programming language such as C, C++, Golang, or Rust.

What education is required for this role?

A BS/MS degree in Computer Science or related areas is required, or equivalent experience.

What does the team environment look like at NVIDIA DGX Cloud?

You will work collaboratively with other software engineers, product architects, and product managers to deliver end-to-end software solutions, owning your code from development to production including operational support.

What skills would make me stand out as a candidate?

Experience in a Hyperscale Cloud Service Provider, understanding of networking protocols like IP, BGP, and VXLAN, familiarity with Infiniband, host management systems like Redfish, and Kubernetes would help you stand out.

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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