Senior Software Manager

Reposted Yesterday
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Yokneam
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead a team of engineers in developing production test solutions for networking systems, ensuring high-quality standards through collaboration and innovation.
Summary Generated by Built In

NVIDIA is seeking an exceptional Senior Software Manager to join the System Production Engineering group. In this role, you will be instrumental in shaping the next generation of system production solutions for NICs, Smart NICs/DPUs, and Network Switches. You will lead a team of engineers to develop and deliver cutting-edge production test solutions that ensure the highest quality for every NVIDIA Networking system shipped to customers. Collaborating closely with engineers, hardware and software architects, R&D teams, and external partners, including production lines, you will drive innovation and excellence in software development methodologies. Your leadership will elevate software quality standards within the group while enhancing the team's technical capabilities. At NVIDIA, we have assembled a team of extraordinary individuals whose mission is to push technological boundaries and define the platforms of the future. Join us in driving innovation at the forefront of networking solutions.

What You’ll Be Doing:

  • Team Leadership and Development: Guide, mentor, and expand your engineering team, ensuring effective planning and execution of projects while maintaining high standards of quality and performance

  • Cross-Functional Collaboration: Work closely with Product and Program Management, Engineering and Production line teams, and HR to achieve business objectives, enhance user experiences, and develop user-friendly production test content

  • Product Lifecycle Management: Oversee the complete product lifecycle, including design, development, build, and enhancement of networking systems test software

  • Strategic Planning and Execution: Define product features and roadmaps, understand product strategy and market positioning, and drive products to successful completion and deployment

  • Quality Assurance and Testing: Review architectural designs (electrical, mechanical, process, software) of tested units to identify potential design issues and ensure robust and efficient production, resulting in high-quality products for customers

  • Risk Management and Issue Resolution: Identify and mitigate risks, resolve issues affecting project scope, schedule, and quality, and continuously improve processes and procedures within the team to streamline operations

  • This role demands a combination of strong leadership skills, technical expertise in software and hardware systems, and the ability to collaborate effectively across various departments to drive the development and delivery of cutting-edge products

What We Need To See:

  • B.Sc. or M.Sc. in Computer Engineering, Computer Science or Electrical Engineering (or equivalent experience)

  • 10 years of experience in software development, test automation, or system validation

  • 5+ years of team management experience in building and leading highly performing teams

  • Strong programming expertise in Python for system-level development

  • Experience with production test development and automation frameworks

  • Knowledge of Linux systems, embedded software, and firmware development

  • Familiarity with hardware/software co-design, debugging, and system bring-up

  • Proven ability to lead and mentor software engineering teams

  • Strong experience in driving software development methodologies, CI/CD pipelines, and DevOps practices

  • Ability to work closely with hardware engineers, software architects, R&D teams, and production teams. Strong problem-solving skills and the ability to manage complex, cross-functional projects

Top Skills

Ci/Cd
DevOps
Linux
Python
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The Company
HQ: Santa Clara, CA
21,960 Employees
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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