Senior System Software Engineer – Linux-Tegra Power Management and Performance Optimization
NVIDIAJob Title
Senior System Software Engineer – Linux-Tegra Power Management and Performance Optimization
Role Summary
Work on power management and performance optimization for NVIDIA Tegra SoCs and embedded platforms. Implement and tune Linux kernel and user-space features to improve power efficiency, responsiveness, and system-level performance for edge AI and robotics workloads.
Experience Level
Senior - typically requires 8+ years of software development experience with a significant focus on Linux-based systems.
Responsibilities
The role focuses on implementing, validating, and optimizing power and thermal management and improving system-level performance across embedded platforms.
- Develop and maintain power and thermal management features in the Linux kernel and user space.
- Optimize software stack for compute and memory utilization, latency reduction, and lowered power consumption.
- Collaborate with power architects, hardware and software engineers on platform power estimation and optimization.
- Perform system-level debugging, profiling, and root-cause analysis on embedded platforms.
- Tune system-level performance to deliver reliable and scalable AI workloads in edge and robotics environments.
Requirements
Must-have technical skills and experience for immediate contribution.
- 8+ years of software development experience with a strong emphasis on Linux.
- Excellent C programming and debugging skills in both Linux kernel and user space.
- Experience with embedded systems and ARM processor platforms.
- System-level debugging and problem-solving experience (profiling, tracing, root cause analysis).
- Strong written and verbal communication skills.
Nice-to-have:
- Familiarity with Linux power and thermal features (scheduler, DVFS, runtime PM, suspend to RAM, thermal zones) and factors influencing chip/platform power efficiency.
- Experience collaborating with the Linux/open-source software communities.
Education Requirements
MS in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, or a related software/hardware engineering field, or equivalent practical experience.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
