Software Solutions Architect

🕒 April 15

🏄 California, Texas – Remote

🏄 California – Remote 🤠 Texas – Remote

💵 $152k - $241.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions 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

• Helping our customers deploy cloud-native software stacks, such as NVIDIA AI, to embed guidelines in machine learning operations • Collaborating closely with infrastructure admins, data scientists, and ML engineers to deploy tools like NVIDIA Run:ai and NVIDIA Mission Control • Integrating NVIDIA software into customers’ existing ML ops environments and developing scripts to streamline these processes • Diagnosing and resolving customer issues within sophisticated cloud-native environments, applying profiling and analysis tools to improve deep learning model performance • Working with internal collaborators, including Pre-Sales Solution Engineers, Account Managers, and Product teams, to understand business requirements and provide technical insights • Developing new tools and scripts to facilitate seamless integration with other Data Science tools

🎯 Requirements

• A minimum of 5 years of experience in a customer-facing role • A B.Sc in Computer Science or equivalent experience • Proven experience presenting to technical audiences and crafting technical content for developers • Proficiency in Linux/Unix Operating Systems • Hands-on experience with Kubernetes and containerization technologies like Docker • Demonstrated experience in software development • Certification as a Kubernetes Administrator (CKA) • Experience with AI and ML tools

🏖️ Benefits

• Comprehensive benefits package • Equity offered