
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
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.
🕒 July 6
🏄 California, Colorado, +2 more states – Remote
💵 $184k - $356.5k / year
⏰ Full Time
🟠 Senior
⚙️ Software Development Engineer in Test (SDET)
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
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.
• Provide engineering solutions to operationalize the latest GPU Computing products and software stacks. • Ensure technical relationships with internal and external engineering teams. • Assist systems, machine learning/deep learning engineers in building creative solutions based on NVIDIA technology. • Be an internal reference for system administration, at-scale system analysis, and other datacenter and large-scale GPU-accelerated system solutions.
• 8+ years of experience using in accelerated computing for datacenter/HPC-based Enterprise computing solutions. • Solid understanding of accelerated computing scheduling and I/O stacks. • C/C++/Python/Bash programming/scripting experience. • Experience working with engineering or academic research community supporting high performance computing or deep learning. • Experience with parallel filesystems. • Strong teamwork and communication skills, both verbal and written. • Ability to multitask effectively in a dynamic environment. • Action driven with strong analytical skills. • Desire to be involved in multiple diverse and innovative projects. • BS (or equivalent experience) in Engineering, Mathematics, Physics, or Computer Science. • MS or PhD desirable.
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options • Equity
Apply Now🕒 July 3
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