Lead Software Engineer, Fleet Management - DGX Cloud at NVIDIA

Seattle, Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, Cloud ComputingIndustries

Requirements

At least 12+ years of industry experience with a Bachelor’s or Master’s degree (or equivalent experience); PhD degree preferred
Expertise in building scalable REST APIs backed by PostgreSQL-compatible data stores
Proficiency in programming languages such as Go, Java, or Python
Familiarity with modern JavaScript frameworks (e.g., React, Angular, Next.js)
Expertise in cloud infrastructure (AWS, GCP, Azure, etc.) and container technologies like Docker and Kubernetes
Expertise with high-scale distributed systems, including architectural patterns for APIs and data pipelines
Outstanding communication and collaboration skills, with a focus on solving complex operational challenges
A passion for delivering scalable and efficient cloud services
Familiarity with Linux operating systems

Responsibilities

Act as technical lead for a team of software engineers designing cloud services backed by databases and data warehouses
Design and develop RESTful APIs to ingest telemetry from AI datacenters
Build scalable cloud services for high-volume ingestion, processing, and storage of large datasets
Build and manage data pipelines for online and offline data storage
Collaborate across teams to codify business processes into scalable, self-measuring systems
Optimize the reliability and efficiency of cloud services and operations
Lead and ship impactful technical projects, ensuring quality and scalability at every stage

Skills

RESTful APIs

Databases

Data Warehouses

Data Pipelines

Cloud Services

Telemetry Processing

Scalable Systems

GPU Infrastructure

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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