
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.
🔥 1 hour ago
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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.
• Build CI/CD pipelines, integration automation, and quality gates across Windows platforms • Lead technical co-engineering with PC OEMs and internal engineering teams to define integration requirements, enable self-host, support QA validation, and drive debugging through verified resolution • Automate platform onboarding, staged deployment, configuration tracking, health monitoring, and recovery • Develop telemetry-based diagnostics to separate product regressions from infrastructure or test failures • Translate diagnostic findings into verified fixes and regression coverage • Support UEFI integration with component owners, focusing on validation across boot, ACPI, power transitions, updates, and recovery • Build AI-assisted workflows for automated regression detection, issue reproduction, and bug-fix validation • Use platform health metrics to measure reliability and time to resolution
• BS or MS in Computer Engineering, Computer Science, or a related field, or equivalent experience • 10+ years of relevant firmware or system software development experience • Deep hands-on expertise in UEFI integration and debugging, including EDK II • Strong understanding of ACPI, Windows internals, and firmware/driver interactions • Strong C/C++ skills • Proficiency in Python or PowerShell • Experience building CI pipelines and hardware-based validation for Arm-based platforms • Experience analyzing crash dumps, system logs, and telemetry to isolate failures across system layers and measure engineering outcomes • Experience owning complex platform work in customer-facing engagements involving PC OEM clients or firmware partners • Experience leading technical decisions across teams while remaining hands-on • Deep systems expertise and hands-on experience shipping Windows on Arm PCs • Experience with Windows internals, driver integration, performance, or power management • Track record of building shared automation and diagnostic tools • Hands-on experience applying AI or machine learning to log analysis, failure clustering, or evidence retrieval
• Competitive salaries • Generous benefits package • Equal opportunity employer • Diversity-valuing workplace
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