Manager, Software Verification

NVIDIA is seeking an experienced and technically strong Engineering Manager to lead the DOCA SDK Verification team.

The team is responsible for validating the NVIDIA DOCA SDK, ensuring the quality, reliability, and scalability of developer-facing APIs and libraries powering NVIDIA BlueField DPUs, SuperNICs, and next-generation networking platforms.

In this role, you will lead and grow a team of highly skilled verification engineers and work closely with software architects, developers, and product teams to ensure the successful delivery of cutting-edge NVIDIA hardware and software solutions.

Responsibilities:

• Lead and grow a team of software verification engineers responsible for validating the NVIDIA DOCA SDK.
• Design comprehensive test plans and implement functional, integration, and system-level tests for new SDK capabilities.
• Define the team's technical roadmap, verification strategy, and automation priorities to ensure high product quality and release readiness.
• Partner closely with SDK developers, architects, product management, and DevOps teams throughout the software development lifecycle.
• Drive the development of scalable C++ verification frameworks and automation infrastructure that enable efficient feature validation.
• Foster a culture of technical excellence, ownership, continuous learning, and engineering quality.

Requirements:

• Bachelor's Degree in EE, CS or CE or equivalent work experience
• 3+ years in a managerial position with hands-on experience with the software development lifecycle and 8+ years of overall experience
• Strong technical background in modern C++ software development, software architecture, and Linux-based systems.
• Experience leading teams developing automated test frameworks, software quality methodologies for complex software products.
• Excellent communications skills, self-motivated and well-organized.

Nice to Have:

• Familiarity with DOCA, BlueField DPUs, SmartNICs, GPUs or data center infrastructure software.
• Experience leveraging AI tools
• Experience in CI methodology & servers (e.g. Git/Gerrit, Jenkins etc.)