NVIDIA is redefining accelerated computing and powering the next era of artificial intelligence. Our data-center platforms bring together GPUs, CPUs, networking, systems, and software to solve some of the world’s most exciting computing problems. We are looking for a Senior System Software Engineer to join NVIDIA’s Datacenter Performance and Power Management Software team. You will be responsible for architecting production software for datacenter power management controllers. Your work will also cover cluster- level dynamic provisioning and power-management control system technologies for next-generation data-centers.
You will work at the intersection of hardware architecture, embedded firmware, device drivers, operating systems, and AI workloads. Your responsibilities will span the entire product lifecycle—from initial architectural design and pre-silicon validation through silicon bring-up, productization, and deployment in extensive data-center infrastructures. This is an outstanding chance to influence how next-generation NVIDIA GPUs provide top-tier performance, energy efficiency, and reliability.
What You’ll Be Doing:
- Architect, build, implement, and debug data center power and performance-management software, with particular emphasis on 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 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.
What We Need to See:
- 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.
Ways to Stand Out From the Crowd:
- Background with architecting, designing, or implementing datacenter provisioning, monitoring, and managing power at a CSP/NCP.
- 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.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience
- At least 12 years of industry experience developing system software, embedded firmware, device drivers, or hardware-related production software
- Strong programming skills in C
- 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 and ability to work across organizational and geographic boundaries
- Experience architecting, designing, or implementing datacenter provisioning, monitoring, and power management at a CSP or NCP
- Experience with GPU, CPU, accelerator, or SoC power and performance management
- Experience with 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 stability, responsiveness, hysteresis, latency, and noisy telemetry
- Understanding of voltage-frequency relationships, transient power, thermal limits, power delivery, and system-level power budgets
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
