Senior Software Engineer, Cloud Functions 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, High-Performance Computing, TechnologyIndustries

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience)
Keen interest in driving Agent AI projects
10 years of equivalent experience
Demonstrated ability in building scalable and robust distributed systems
Proven record of product rollouts and collaborating with early adopters
Proficiency in programming in C/C++, Java, Rust or Go
Technical stewardship of projects across the organization

Responsibilities

Designing and implementing scalable and reliable software components to enable the core platform to maintain an inventory of resources, including hosts, GPUs, and switches; to automate actions to diagnose failures, and to repair
Enabling Agentic AI within the core platform to create remedial workflows
Influencing the product roadmap in collaboration with teams across various departments with the goal of reducing SRE toil and improving hardware utilization
Collaborating with various organizations across Nvidia to drive adoption of the platform in order to improve GPU utilization
Defining and running benchmarks for various subsystems
Leading and delivering high-impact projects with high quality, performance, and stability with the lowest resource consumption
Developing a robust feedback control system that analyzes signals about system health and automatically runs commands to fix discovered issues
Programming in modern languages like Go and Rust

Skills

Scalable Software

Enterprise Software

Agentic AI

Cloud Computing

GPU Management

Automation

Benchmarking

SRE

Inventory Management

Hardware Diagnostics

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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