Lead Software Engineer, Fleet Management – DGX Cloud

🕒 April 20

🏄 California, Washington – Remote

🏄 California – Remote ☕ Washington – Remote

💵 $224k - $431.3k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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.

🎯 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 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.

🏖️ Benefits

• equity • benefits