Manager, Solutions Architecture – Data Center Specialists

🕒 April 14

🏄 California, District of Columbia, +1 more states – Remote

🏄 California – Remote 🏛️ District of Columbia – Remote 🌲 North Carolina – Remote

💵 $224k - $356.5k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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

• Managing and developing a group of infrastructure and HPC specialists • Providing guidance and support to partners, helping them successfully deploy and bring up AI Factories • Helping our partners employ our best practices and reference architectures and taking your knowledge out to the field • Raising and providing timely advance alerts of critical customer issues that need further focus

🎯 Requirements

• BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields • 8+ overall years work or research experience with Python/ C++ / other software development • 4+ years of experience leading a team • Track record of medium to large scale AI training and understanding of key libraries used for NLP/LLM/VLA training (NeMo Framework, DeepSpeed etc.) • Experience with integration and deployment of software products in production enterprise environments, and microservices software architecture • Solid understanding of data center infrastructure: servers, storage, networking, cabling, power, cooling, and physical deployment workflows • Experience with software microservices and with the incorporation and delivery of software in production environments • Technical leadership and strong understanding of NVIDIA technologies, and success in working with customers • Excellent verbal, written communication, and technical presentation skills in English

🏖️ Benefits

• equity • benefits