NVIDIA
AI
LeadSoftwareEngineer,FleetManagement
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Software Engineer, Fleet Management at NVIDIA. Skills: Technical lead for a team of software engineers, Designing scalable cloud services, RESTful APIs, High-volume data ingestion, processing, and storage, Data pipelines, Cloud infrastructure, Container technologies, High-scale distributed systems. 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”
What You'll Achieve.
Ensuring quality and scalability at every stage; Delivering scalable and efficient cloud services
Industry & Context.
Solving complex operational challenges; Debugging and problem-solving skills in distributed environments
What They're Looking For.
Must Have
At least 12+ years of industry experience with a Bachelor’s or Master’s degree (or equivalent experience), Expertise in building scalable REST APIs backed by PostgreSQL-compatible data stores, Proficiency in programming languages such as Go or Python, 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
Nice to Have
PhD degree preferred, Familiarity with modern JavaScript frameworks (e. g. , React, Angular, Next. js), A track record of leading engineers to successful delivery and operations of high-performance cloud services at Internet scale, Experience operating NVIDIA datacenter GPUs, debugging and problem-solving skills in distributed environments
What You'll Do.
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
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
How You'll Work.
Team & Collaboration
Collaborate across teams to codify business processes into scalable, self-measuring systems; Outstanding communication and collaboration skills
Communication Scope
Outstanding communication and collaboration skills
Process & Methodology
Lead and ship impactful technical projects, ensuring quality and scalability at every stage
Full Job Description
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is widely recognized as one of the most desirable employers, with some of the most talented people in the world working for us. If you're passionate about building scalable, efficient systems to power cloud operations, we invite you to join our team. We are looking for a Lead Software Engineer to join our DGX Cloud team and build the foundational systems that drive NVIDIA’s high-performance GPU infrastructure. You will play a technical lead role in designing scalable cloud services that integrate with diverse systems including GPU telemetry in datacenters, and enabling operational automation across global cloud operations. **What You 'll Be Doing:** * 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. **What We Need To See:** * 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 b
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