Principal Full Stack Software Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High-Performance ComputingIndustries

Requirements

BS/MS in Computer Science, Engineering, or equivalent experience
15+ years in software/platform engineering, including 3+ years in ML infrastructure or distributed systems
Proficiency with full-stack development: Relational Data Modeling, DB optimization, REST API Semantics, Javascript, CSS, providing API as a service
Experience in software development lifecycle on Linux-based platforms
Strong coding skills in languages such as Python, C++ or Rust
Experience with AIOps or Agentic AI and apply it successfully in production environment
Experience with Docker, Kubernetes, GitLab CI, automated deployments

Responsibilities

Work with coworkers across the Managed AI Research Supercluster organization to understand the pain points of validating, monitoring and operating GPU clusters at scale
Design, develop and maintain engineering solutions to solve those pain points systematically
Research in traditional AIOps and the emerging Agentic AI, and leverage them to further reduce the operation toil
Participate in on-call support for systems, platforms built and owned by the team
Propose and implement engineering solutions to ensure delivery of functional, reliable, secure, and performance-optimal GPU clusters to internal researchers
Enable researchers to focus on training and development by reducing operational disruption and overhead
Empower researchers for self-service continuous improvement on reliability, operational excellence & performance

Skills

Key technologies and capabilities for this role

PythonCJavaScriptCSSREST APIRelational Data ModelingDatabase OptimizationLinuxML InfrastructureDistributed SystemsGPU ClustersAIOps

Questions & Answers

Common questions about this position

What is the base salary range for this Principal Full Stack Software Engineer position?

The base salary range is 272,000 USD - 425,500 USD, determined based on location, experience, and pay of employees in similar positions.

What benefits are offered for this role?

You will be eligible for equity and benefits.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What are the key required skills for this role?

Required skills include 15+ years in software/platform engineering with 3+ years in ML infrastructure or distributed systems, proficiency in full-stack development (Relational Data Modeling, DB optimization, REST API, Javascript, CSS), strong coding in Python, C++ or Rust, experience with Linux-based SDLC, AIOps or Agentic AI in production, and Docker, Kubernetes, GitLab CI, automated deployments.

What experiences make a candidate stand out for this position?

Candidates stand out with familiarity in GPU computing, Linux systems internals, and performance tuning at scale; experience running Slurm or custom scheduling frameworks in production ML environments; and experience with ML orchestration tools such as Kubeflow, Flyte, Airflow, or Ray.

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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