Senior System Software Engineer - DC Platform Software Tools

NVIDIA Corporation; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Job summary

An established industry player is seeking a Senior System Software Engineer to join their Data Center Platform Software Tools team. This role focuses on designing and developing tools that enhance the manageability of large-scale AI data centers. You will collaborate with cross-functional teams to create solutions that simplify deployment and service workflows. The ideal candidate will have extensive experience in managing software for data centers, strong Python skills, and a passion for innovative problem-solving. Join a team at the forefront of AI computing and help shape the future of technology.

Benefits

Equity

Health Benefits

Flexible Work Hours

Diversity and Inclusion Initiatives

Qualifications

• 10+ years of experience in management solutions for large scale clusters.
• Strong skills in Python and debugging for large scale data centers.

Responsibilities

• Drive GPU Server Software manageability workflows for AI infrastructure.
• Work with customers to improve debuggability and serviceability of tools.

Skills

Python

Debugging

Communication Skills

Problem-Solving

Education

BS in Electrical Engineering or Computer Science

MS in Electrical Engineering or Computer Science

PhD in Electrical Engineering or Computer Science

Tools

Git

Perforce

Jira

Job description

Senior System Software Engineer – DC Platform Software Tools

Senior System Software Engineer – DC Platform Software Tools

We are looking for a: Senior System Software Engineer – DC Platform SW Tools. 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 deep learning — 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, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. NVIDIA Grace and GPU superchips provide performance and productivity required for strong scaling for HPC and generative AI workload. Scale out is inherent to the design of this massive superchip.

We are looking for a Senior System Software Engineer to join our Data Center Platform Software Tools team. You will be responsible for the design, development, enhancement, and deployment of tools in large-scale AI data centers. The primary focus of these tools is to provide simple user experience in the data center manageability life cycle from deployment, production, service, and repair workflows. You will work closely with cross-functional teams, including hardware engineers, system architects, software developers, and customers to gather requirements, create solutions and provide end-to-end simplified manageability experience. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement.

What you’ll be doing:

1. Drive next generation GPU Server Software manageability workflows for scaling AI infrastructure for Datacenters. This infrastructure includes DGX, HGX or MGX Products. You will be involved in ensuring proper tools are built for managing Server Software and Firmware for data center lifecycle.
2. Work with internal and external customers to understand requirements for various tools to improve debuggability, serviceability and runtime of data center firmware and software.
3. Contribute to all phases of product development, from product definition, architecture, and design, through implementation, debugging, testing and early customer support.
4. Maintain detailed documentation of tool designs, capabilities, and usage guidelines. Provide regular reports and technical insights to internal teams on the effectiveness and improvements of developed tools.
5. Define KPIs for tools and work across various stakeholders to improve it over time.

What we need to see:

1. BS, MS, or PhD in EE/CS or related field of education (or equivalent experience) with 10+ years of experience.
2. Proven record of having worked in management solutions for large scale clusters in data centers.
3. Strong and demonstrable skill in Python.
4. Experience programming and debugging skills for large scale data centers.
5. Experience in SCM (e.g., Git, Perforce) and project management tools like Jira.
6. Possess excellent written and oral communication skills, excellent work ethics, a deep sense of teamwork, love to produce quality work and commitment to finish your tasks every single day.
7. You are a self-starter who loves to find creative solutions to complicated problems and hands on with coding.

Ways to stand out from the crowd:

1. Worked on data center deployment and management projects.
2. Hands on with x86 or ARM system architecture.
3. Are familiar with processor microarchitecture such as caches, pipelining, memory hierarchy, and instruction set architecture (ISA). Experience with code coverage and static analysis tools.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!

The base salary range is 184,000 USD - 356,500 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.

About Us

NVIDIA is the world leader in accelerated computing.

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.