Director, DOCA Process and Productivity

Posted Yesterday
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Yokneam, ISR
In-Office
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead DOCA Process and Productivity to improve cross-organizational engineering processes, DevOps, integration, security coordination, CI/CD, release readiness, lab workflows, and developer productivity. Define operating models, remove execution friction, drive secure development workflows, and mentor teams to make multi-team workflows predictable, automated, measurable, and user-friendly from development through deployment.
Summary Generated by Built In

NVIDIA is driving some of the most sophisticated software and infrastructure programs in the industry, requiring close collaboration across engineering, architecture, QA, release, integration, security, DevOps, UX, and partner organizations. We are seeking a highly organized Director with strong technical proficiency to lead the DOCA Process and Efficiency. This role involves managing the teams, processes, and operating mechanisms that help the DOCA organization operate at scale.

This role brings together horizontal ownership across engineering process, security coordination, developer productivity, DevOps, integration, and product usability. The leader will define clear operating models, remove execution friction across organizational boundaries, and ensure that DOCA software, tools, and workflows are robust, secure, integrated, and intuitive from development through deployment. The ideal candidate is comfortable leading people, working across engineering groups, understanding complex system-level software, and translating operational, security, integration, and usability challenges into clear priorities, ownership, and measurable improvements.

What you'll be doing:

  • Lead the DOCA Process and Productivity function, including cross-organizational process execution, DevOps, integration, UX/usability, security process coordination, and developer productivity initiatives.

  • Own and improve operating mechanisms across DOCA R&D, QA, release, security, integration, DevOps, lab infrastructure, and partner teams.

  • Serve as the Security Point of Contact for the DOCA framework, driving secure development workflows, vulnerability handling, security reviews, incident management, and alignment with NVIDIA security requirements.

  • Drive improvements in build, validation, release readiness, automation, CI/CD, lab workflows, deployment experience, documentation, and end-to-end engineering productivity.

  • Lead, mentor, and grow teams while helping the organization make multi-team workflows more predictable, transparent, secure, automated, accountable, and efficient.

What we need to see:

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

  • 15+ overall years of relevant professional experience in software engineering organizations, engineering operations, DevOps, integration, technical program management, process management, or system software execution roles.

  • Minimum of 7 years managing R&D engineers. 

  • Proven people leadership experience, including leading teams, mentoring managers or senior engineers, setting direction, and building an operational or engineering productivity function.

  • Strong technical understanding of complex software systems, Linux environments, infrastructure software, integration flows, release processes, and system-level debugging.

  • Experience improving engineering workflows such as integration, release readiness, CI/CD, issue handling, requirements flow, secure development, vulnerability handling, or inter-team handoffs.

  • Excellent communication and cross-functional leadership skills, with the ability to align engineering leaders and turn ambiguous operational, technical, or usability problems into clear actions and priorities.

Ways to stand out from the crowd:

  • Familiarity with DOCA, BlueField DPUs, SmartNICs, cloud infrastructure, developer frameworks, data center infrastructure, or large-scale system software.

  • Experience leading DevOps, integration, lab, release, engineering productivity, security process, or UX/usability functions in a complex R&D organization.

  • Proven success improving out-of-box product experience, provisioning, deployment workflows, documentation quality, automation, or customer-facing integration flows.

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 and autonomous, we want to hear from you!

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

  • B.Sc. or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, Industrial Engineering, or equivalent experience.
  • 15+ years of relevant professional experience in software engineering organizations, engineering operations, DevOps, integration, technical program management, process management, or system software execution roles.
  • Minimum of 7 years managing R&D engineers.
  • Proven people leadership experience, including leading teams, mentoring managers or senior engineers, setting direction, and building an operational or engineering productivity function.
  • Strong technical understanding of complex software systems, Linux environments, infrastructure software, integration flows, release processes, and system-level debugging.
  • Experience improving engineering workflows such as integration, release readiness, CI/CD, issue handling, requirements flow, secure development, vulnerability handling, or inter-team handoffs.
  • Excellent communication and cross-functional leadership skills, with ability to align engineering leaders and convert ambiguous problems into clear actions and priorities.
  • Familiarity with DOCA, BlueField DPUs, SmartNICs, cloud infrastructure, developer frameworks, data center infrastructure, or large-scale system software.
  • Experience leading DevOps, integration, lab, release, engineering productivity, security process, or UX/usability functions in a complex R&D organization.
  • Proven success improving out-of-box product experience, provisioning, deployment workflows, documentation quality, automation, or customer-facing integration flows.

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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