Senior Software Engineer, Bare Metal Automation - DGX Cloud at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud Computing, HardwareIndustries

Requirements

Direct experience in a software engineering role within a highly technical organization with demonstrable impact from your work
Software development experience with bare metal hardware APIs and frameworks preferably on GPU servers
Highly motivated with strong communication skills, able to work successfully with multi-functional teams, principals, and architects and coordinate effectively across organizational boundaries and geographies
5+ years in a similar role and experience on large-scale production systems
Experience with common software engineering principles, tools, and techniques
BS in Computer Science, Engineering, Physics, Mathematics or a comparable degree or equivalent experience
Technical knowledge, including a systems programming language (Go, Python) and a solid understanding of data structures and algorithms

Responsibilities

Work on custom software related to managing fleets of GPU nodes as part of the DGX Cloud team responsible for production systems enabling large scalable GPU clusters for AI workloads
Implement monitoring and health management capabilities that enable industry-leading reliability, availability, and scalability of GPU assets, harnessing multiple data streams from GPU hardware diagnostics to cluster and network telemetry
Work with teams across NVIDIA to ensure production AI clusters run reliably and consistently with maximum performance
Evaluate system failures and improve services based on a well-defined incident management process
Help scale up NVIDIA's AI Infrastructure, including managing software/firmware versions, writing repeatable and efficient tests and benchmarks, and programming using libraries and APIs exposed by baseboard management controllers

Skills

Key technologies and capabilities for this role

Bare Metal AutomationBMC APIsFirmware ManagementGPU HardwareCluster ManagementMonitoringHealth ManagementTelemetrySystem TestingBenchmarks

Questions & Answers

Common questions about this position

What salary can I expect for this Senior Software Engineer role?

This information is not specified in the job description.

Is this position remote or does it require working from an office?

This information is not specified in the job description.

What skills are required for this Senior Software Engineer position?

Required skills include direct experience with bare metal hardware APIs and frameworks preferably on GPU servers, 5+ years in a similar role on large-scale production systems, technical knowledge of systems programming languages like Go or Python, and a solid understanding of data structures and algorithms. Strong communication skills and the ability to work with multi-functional teams across organizational boundaries are also essential.

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

The culture emphasizes constant challenge, improvement, and evolution, welcoming out-of-the-box thinkers with strong execution bias. It values creative, passionate individuals who love GPU hardware and having fun while advancing AI infrastructure.

What makes a candidate stand out for this position?

Candidates stand out with direct experience in software engineering on bare metal hardware, especially GPU servers, 5+ years on large-scale production systems, proficiency in Go or Python, and strong cross-team communication skills. A BS in Computer Science or related field and technical competency in managing and automating systems are key differentiators.

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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