Senior Manager, Software Engineering - Platform Operations

Reposted 21 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
248K-391K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead the development of AI-driven solutions on ServiceNow, managing architecture, platform health, team development, and vendor relations while ensuring efficient workflows and governance standards.
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.

NVIDIA is seeking a deeply technical and hands-on Senior Software Engineering Manager to lead the development of next-generation AI-driven solutions on the ServiceNow platform to enhance business efficiency and productivity. This role requires strong expertise in platform architecture, full-stack development, and enterprise integrations, along with familiarity in emerging AI paradigms such as Retrieval-Augmented Generation (RAG) and agentic AI.

What You’ll Be Doing:

  • Drive the design and implementation of scalable, intelligent workflows and applications across ServiceNow modules such as ITSM and HRSD.

  • Define architectural standards and ensure secure, scalable, and high-performing platform solutions.

  • Own and manage the ServiceNow platform end-to-end, including strategy, roadmap, upgrades, and overall platform health

  • Establish and enforce platform governance standards for architecture, security, scalability, and user experience

  • Ensure high availability, performance, and stability of platform operations and service delivery

  • Lead, mentor, and grow a global team of engineers, including internal staff and external partners

  • Manage vendors and partners to ensure high-quality delivery, performance, and cost efficiency

  • Drive continuous improvement, innovation, and automation to enhance efficiency and user experience

What We Need To See:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, IT, or related field (or equivalent experience)

  • 6+ years of experience leading and managing high-performing engineering teams

  • 12+ overall years experience with enterprise architecture, IT leadership, or large-scale software engineering and platform management (including SaaS and AI/ML systems)

  • Strong programming skills in Python and experience with system-level development

  • Hands-on experience with test automation, production testing, and automation frameworks

  • Solid understanding of Linux, embedded systems, firmware, and hardware/software integration

  • Deep knowledge of IT Service Management (ITSM) and ServiceNow (HR, Security, Finance modules preferred)

  • Experience with DevOps practices, CI/CD pipelines, Automated testing frameworks, and structured software development methodologies

  • Proven ability to lead complex, cross-functional projects and collaborate across engineering, product, and business teams

  • Strong leadership, communication, problem-solving, and analytical skills, with the ability to drive strategy, process discipline, and organizational change

Ways to stand out from the crowd:

  • Experience implementing enterprise-grade governance for agent systems (controls, audit-ability, monitoring, policy enforcement) in production autonomous workflows

  • Demonstrated wins taking new/open-source agent constructs from POC to production adoption, with clear business impact (cycle time, quality, cost, reliability)

  • Built and scaled an agent platform or agent developer experience used by multiple teams (SDKs, templates, reference apps, reusable building blocks)

  • Clear point of view and real examples on build-vs-use decisions—when to adopt OSS/3P vs build internal primitives—and how to operationalize the choice

  • Deep experience with agent evaluation at scale (long-horizon tasks, tool correctness, reliability testing, automated regressions, offline/online feedback loops)

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 in the world working for us. If you're creative, results-oriented and enjoy learning while having fun, then what are you waiting for? Apply today!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, IT, or related field
  • 6+ years of experience leading and managing engineering teams
  • 12+ years overall experience in enterprise architecture, IT leadership, or software engineering
  • Strong programming skills in Python
  • Hands-on experience with test automation and production testing
  • Solid understanding of Linux and embedded systems
  • Deep knowledge of IT Service Management (ITSM) and ServiceNow
  • Experience with DevOps practices and CI/CD pipelines
  • Proven ability to lead complex, cross-functional projects
  • Strong leadership, communication, and analytical skills

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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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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