Machine Learning Analyst - HIH - Evernorth
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You'll develop platform integration for next-generation Arm-based Windows systems, building CI/CD pipelines, automating hardware validation, and partnering directly with PC OEM engineering teams from enablement through production. This role requires 10+ years of firmware or system software experience with deep expertise in UEFI, EDK II, ACPI, and Windows internals. Strong C/C++, Python or PowerShell, and hands-on debugging skills are essential, along with proven experience owning complex platform work with customer-facing clients and shipping Windows on Arm systems.
Written from this posting by Neural Jobs AI. The full description is below.
NVIDIA seeks a senior, hands-on system software engineer with customer-facing experience collaborating directly with PC hardware manufacturers. This role will develop the platform foundation of next-generation Arm-based Windows systems. You will own critical platform integration decisions and serve as a technical partner to PC OEM engineering teams, bringing new platforms from early enablement to production readiness. Your work will connect firmware and Windows engineering, automated qualification, and deployment, using telemetry, data analytics, and AI-assisted diagnostics to improve reliability and accelerate engineering decisions.
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With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
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