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NVIDIA

Designs the chips and software that power AI

Senior System Software Engineer - Datacenter Power Management

Systems Software EngineeringConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • A BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
  • At least 12 years of 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.
  • 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.

Responsibilities

  • Architect, build, implement, and debug data-center power and performance-management software, particularly end-to-end power management at racks and data halls.
  • Develop real-time controllers, policies, and mechanisms that dynamically optimize performance, power, thermals, and energy efficiency under demanding data-center workloads.
  • Drive features through the full product lifecycle, including 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 interactions among workloads, clocks, voltages, power limits, thermals, telemetry, and system-level policies.
  • Lead investigation and resolution of complex power, performance, stability, and reliability issues across 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 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.

Desired Qualifications

  • Background architecting, designing, or implementing data-center provisioning, monitoring, and power management at a CSP or NCP.
  • Hands-on experience with GPU, CPU, accelerator, or SoC power and performance management.
  • Experience 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.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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