NVIDIA's DOCA organization is scaling rapidly, and operational excellence across our development toolchain is critical to our success. We are seeking an experienced Director to lead the teams and initiatives that power our engineering engine — spanning DevOps infrastructure, software integration, AI-assisted development tools, and the end-to-end BlueField user experience.
In this role, you will directly manage the DevOps and Integration teams while driving the adoption and expansion of AI productivity tools across DOCA engineering. You will also own the BlueField user experience — from out-of-box installation and provisioning through field deployments — ensuring that developers, partners, and data center operators can get productive with our platform from day one.
What you'll be doing:
- Lead and grow the DOCA DevOps team: CI/CD pipelines, lab infrastructure, build systems, release automation, and developer tooling.
- Own the DOCA Integration team: multi-component integration workflows, cross-team handoffs, validation gates, and release readiness for the DOCA/BF software stack.
- Drive AI tools strategy across DOCA R&D — evaluating, adopting, and operationalizing AI-assisted coding, testing, documentation, and review tools to accelerate engineering productivity.
- Own the end-to-end BlueField user experience: out-of-box installation, provisioning, firmware/software lifecycle, documentation quality, and deployment workflows for DPU customers and internal teams.
- Define and track benchmarks for DevOps maturity, integration stability, AI tool adoption, and BlueField UX quality across release cycles.
- Mentor team leads and senior engineers build career paths and scale the function to meet DOCA's growing portfolio.
What we need to see:
- B.Sc. or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or a combination of practical experience equivalent to these degrees.
- 12+ overall years of professional experience in software engineering organizations, with deep exposure to DevOps, integration, or infrastructure software.
- Minimum 6+ years managing R&D engineering teams, including direct management of team leads or senior engineers.
- Strong hands-on technical background: Linux environments, CI/CD systems, build automation, container/virtualization infrastructure, and system-level software.
- Proven track record improving complex integration pipelines, release readiness processes, and developer productivity workflows.
- Experience evaluating and rolling out AI/ML-based developer tools (e.g., code generation, automated testing, documentation assistants) in engineering organizations.
- Excellent communication and multi-functional leadership — able to align engineering leaders and turn ambiguous operational or usability problems into clear priorities and measurable outcomes.
Ways to stand out from the crowd:
- Direct familiarity with DOCA, BlueField DPUs, SmartNICs, or data center infrastructure software.
- Experience improving out-of-the-box product experience, provisioning workflows, or customer-facing deployment documentation for complex hardware/software platforms.
- Background leading DevOps or platform engineering at scale in a large R&D organization shipping system-level software.
- Track record of adopting AI coding assistants, automated PR review, or AI-based QA tools in a real production engineering context.
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 or equivalent practical experience
- 12+ years professional experience in software engineering organizations with deep exposure to DevOps, integration, or infrastructure software
- 6+ years managing R&D engineering teams, including direct management of team leads or senior engineers
- Strong hands-on technical background in Linux environments, CI/CD systems, and build automation
- Experience with containerization and virtualization infrastructure and system-level software
- Proven track record improving complex integration pipelines, release readiness processes, and developer productivity workflows
- Experience evaluating and rolling out AI/ML-based developer tools (code generation, automated testing, documentation assistants) in engineering organizations
- Excellent communication and multi-functional leadership; ability to turn ambiguous operational or usability problems into measurable outcomes
- Direct familiarity with DOCA, BlueField DPUs, SmartNICs, or data center infrastructure software
- Experience improving out-of-the-box product experience, provisioning workflows, or customer-facing deployment documentation for complex hardware/software platforms
- Background leading DevOps or platform engineering at scale in a large R&D organization shipping system-level software
- Track record of adopting AI coding assistants, automated PR review, or AI-based QA tools in production
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
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.”
