Senior Solutions Architect - HPC

June 27

🌽 Illinois – Remote

Although this job is listed in Illinois, 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.

+2 more states

🌽 Illinois – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote 🚗 Michigan – 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, data scientists • Working closely with universities to help them adopt and build creative solutions using NVIDIA technology • Some travel is required for this role, you are empowered to find the best way to support and make our customers successful

🎯 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 in accelerated computing and knowledge of parallel computing with GPUs • Experience porting and/or optimizing scientific applications targeting GPUs • Strong fundamentals in programming and software design, especially in Python and C++ • Strong problem-solving and debugging skills • Excellent knowledge of theory and practice of AI at scale • Excellent presentation, communication and collaboration skills

🏖️ Benefits

• equity • benefits