# System Software Engineer

**Company**: NVIDIA
**Experience**: mid
**Job type**: full-time
**Salary**: 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/System-Software-Engineer---GPU-Power-and-Performance-Management_JR2026396?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_669ab156-bc1

## Description

NVIDIA is seeking a System Software Engineer to join its GPU Performance and Power Management Software team. The successful candidate will help design, develop, and debug production software for performance states (P-states) and Power Management Controllers. They will work on dynamic voltage and frequency scaling (DVFS) and power-management technologies for next-generation data-center GPUs.

The engineer will work at the intersection of hardware architecture, embedded firmware, device drivers, operating systems, and AI workloads. They will contribute across the product lifecycle, including design, pre-silicon development, validation, silicon bring-up, and production support. This is an opportunity to build expertise in GPU power and performance software while contributing to products that deliver leading performance, energy efficiency, and reliability.

**Responsibilities:**

- Design, build, implement, and debug GPU power- and performance-management software, with emphasis on P-state management and DVFS.

- Develop control policies and software mechanisms that optimize GPU performance, power, thermals, and energy efficiency under demanding data-center workloads.

- Support features through 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 and implement hardware-software interfaces for next-generation processors.

- Analyze interactions among workloads, clocks, voltages, power limits, thermals, telemetry, and system-level policies.

- Investigate, triage, and resolve power, performance, stability, and reliability issues spanning firmware, drivers, hardware, and platform software.

- Help execute validation strategies and automation for functional correctness, transition latency, performance-per-watt, and robustness across operating conditions.

- Write clear technical documentation, interface definitions, for features.

- Partner with distributed teams across architecture, ASIC, firmware, driver, validation, platform, and data-center systems.

**Requirements:**

- BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.

- 2+ years of relevant industry experience, or strong coursework, internship, co-op, or project experience in system software.

- Strong programming skills in C, with the ability to develop, debug, and maintain low-level kernel software.

- Good understanding of operating-system fundamentals, computer architecture, device-driver architecture, embedded or real-time software, concurrency, interrupt handling, and hardware programming.

- Ability to independently debug and analyze across multiple layers of software and hardware.

- Ability to read and understand hardware specifications and software interface definitions.

- Strong problem-solving skills and willingness to learn from and work effectively with cross-functional teams.

- Excellent written and verbal communication skills.

**Benefits:**

- Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. [Visit www.nvidiabenefits.com](http://www.nvidiabenefits.com) for more information.

## Skills

### Required
- C programming
- operating system fundamentals
- computer architecture
- device driver architecture
- embedded software
- concurrency
- interrupt handling
- hardware programming

### Nice to have
- GPU power and performance management
- P-states
- DVFS
- clock control
- voltage control
- thermal management
- workload-aware system behavior
- validation
- scripting or automation
- telemetry analysis
- AI tools

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/System-Software-Engineer---GPU-Power-and-Performance-Management_JR2026396?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)