Senior Solutions Architect, Generative AI Data Processing

October 16

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

+1 more states

🏄 California – Remote 🗽 New York – Remote 🤠 Texas – Remote

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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NVIDIA

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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.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• Partnering with other solution architects, engineering, product and business teams. • Understanding their strategies and technical needs and helping define high-value solutions • Dynamically engaging with developers, scientific researchers, and data scientists, gaining experience across a range of technical areas • Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform • Working closely with customers to help them adopt and build creative solutions using NVIDIA technology • Design and implement scalable systems to accelerate agentic workflows and efficiently handle datacenter-scale use cases • Some travel to conferences and customers may be required

🎯 Requirements

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience) • 8+ years of hands-on experience with Machine Learning, Deep Learning and Data Analytics • Strong fundamentals in programming, optimizations, and software design, especially in Python • Strong problem-solving and debugging skills • Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments • Excellent presentation, communication and collaboration skills

🏖️ Benefits

• equity • benefits