
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 minute ago
🏄 California, Texas, +1 more states – Remote
💵 $224k - $431.3k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 1%
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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.
• Architect, build, implement, and debug GPU power- and performance-management software, with particular emphasis on P-state management and DVFS • Develop real-time controllers, policies, and mechanisms that dynamically optimize GPU performance, power, thermals, and energy efficiency under demanding data-center workloads • Drive features across the full product lifecycle: requirements, architecture, implementation, pre-silicon validation, silicon bring-up, productization, and production support • Collaborate with GPU architects and hardware designers to define hardware-software interfaces and influence the power-management capabilities of next-generation processors • Analyze complex interactions among workloads, clocks, voltages, power limits, thermals, telemetry, and system-level policies • Lead the investigation and resolution of complex power, performance, stability, and reliability issues spanning firmware, drivers, hardware, and platform software • Develop validation strategies and automation for functional correctness, transition latency, performance-per-watt, and robustness across operating conditions • Build clear architecture, interface, and compose specifications for new power-management features • Partner with geographically distributed architecture, ASIC, firmware, driver, validation, platform, and data-center systems teams
• BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field—or equivalent experience • At least 12+ years of extensive industry experience crafting system software, embedded firmware, device drivers, or other hardware-related production software • Strong programming skills in C, including experience developing, debugging, and maintaining complex low-level software • Deep understanding of operating-system fundamentals, device-driver architecture, embedded or real-time software, concurrency, interrupt handling, and hardware programming • Experience interpreting hardware specifications and developing software interfaces for registers, telemetry, interrupts, and control mechanisms • Strong understanding of computer architecture and hardware-software interactions • Proven ability to independently debug complex problems across multiple software and hardware layers • Excellent written and verbal communication skills, with a track record of working effectively across organizational and geographic boundaries • Hands-on experience with GPU, CPU, accelerator, or SoC power and performance management • Background with crafting or implementing P-state selection, DVFS, clock-control, voltage-control, power-capping, thermal-management, throttling, or workload-aware control policies • Experience developing real-time feedback controllers, including reasoning about stability, responsiveness, hysteresis, latency, and noisy telemetry • Understanding of electrical and platform considerations such as voltage-frequency relationships, transient power, thermal limits, power delivery, and system-level power budgets
• Equity • Benefits
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