Senior System Software Engineer - SoC Power

Posted 6 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Senior System Software Engineer at NVIDIA, you'll work on designing and implementing power management policies for Tegra Automotive and Embedded platforms. The role involves developing firmware for ARM SoCs, debugging software issues, and collaborating on power management strategies to enhance performance and efficiency.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Looking for motivated system software engineers to join NVIDIA's Tegra software organization. Help build efficient kernel drivers and firmware for ARM SoCs, impacting product lines like Robotics, self-driving cars, and AI.

What you will be doing:

  • Design and implement power management policy in system software solutions for Tegra Automotive, Embedded and Data Center platforms.

  • Develop firmware for embedded and Datacenter SoCs with a focus on power management.

  • Triage and debug various software issues in sophisticated systems and applications.

  • Collaborate with cross-functional teams to craft and implement power management strategies that ensure outstanding performance and efficiency.

  • Develop and implement test plans to validate the effectiveness and efficiency of software solutions.

  • Identify, diagnose, and resolve power and performance issues in a timely manner.

What we need to see:

  • Proven experience in system software development, focusing on power and performance optimization.

  • Strong programming skills in C/C++ and scripting languages such as Python.

  • In-depth knowledge of computer architecture, operating systems, and hardware-software interactions.

  • Excellent problem-solving abilities and attention to detail.

  • A collaborative approach with the ability to work effectively in a team environment.

  • Outstanding communication skills, both written and verbal.

  • A Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.

  • 5+ years of experience in system software/firmware for power optimization in Datacenter, Embedded, or ARM-based systems.

Ways to stand out from the crowd:

  • Expertise in performance/power measurement, tools development, and using simulation/emulation platforms.

  • Deep understanding of system-level architecture, such as topologies, interconnects, memory hierarchy, interrupts, and memory-mapped IO.

  • Knowledgeable in performance and power management techniques such as DVFS, clock and power gating, clock sequencing, binning, and power/thermal budgeting.

  • Experience analyzing, debugging, and tuning performance of complex system software stacks.

The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse 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.

Top Skills

C
C++
Python
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

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.”

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