System Validation Engineer, DOCA at NVIDIA

Raanana, Center District, Israel -

Full Time

Start Date

Immediate

Expiry Date

31 Jul, 26

Salary

0.0

Posted On

02 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Linux, System validation, Firmware integration, Debugging, Automation, Networking stack, BlueField architecture, DOCA SDK, System provisioning, Kernel interaction, Data center infrastructure, Distributed systems, Secure boot, Bootloaders

Industry

Computer Hardware Manufacturing

Description

NVIDIA DOCA Verification team is seeking a highly motivated and technically strong System Validation Engineer to take part in the validation of NVIDIA DOCA BF-Bundles (BFBs) for BlueField DPUs and SuperNICs. This role focuses on system-level validation of full software and firmware bundles, including installation flows, upgrade paths, firmware integration, and regression automation across hardware platforms. You will play a key role in ensuring the reliability, stability, and release readiness of DOCA Bluefield images powering data centers worldwide. This is a high-impact and hands-on role requiring deep Linux expertise, strong debugging and coding skills, automation leadership, and full ownership mindset across complex system stacks. What you'll be doing: Design, Develop and Automate system-level tests of installation, upgrade/downgrade, recovery, and multi-version compatibility across BlueField platforms. Validate full-stack integration of firmware, boot flows, OS services, drivers, networking stack, and DOCA runtime integration. Drive deep cross-layer debugging across firmware, kernel, networking, and user-space to identify root cause and influence long-term fixes. Act as technical focal point for release readiness, providing risk assessment, regression health analysis, and clear execution signals. Continuously elevate validation methodology, improving scalability, coverage, execution efficiency, and failure triage workflows. What we need to see: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience. Strong Python programming skills Strong debugging skills of complex multi-layer issues with a structured, evidence-based approach. Strong analytical mindset with ability to independently drive technical investigations. Excellent communication skills and ability to influence across teams. Ways to stand out from the crowd: Hands-on Linux expertise (boot flows, system services, networking stack, systemd, kernel interaction) Experience validating firmware-integrated platforms (DPUs, SmartNICs, embedded systems, networking devices). Familiarity with BlueField architecture and DOCA SDK. Experience with secure boot, bootloaders, or system provisioning flows. Background in networking, data center infrastructure, or distributed systems. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're creative, self-motivated and enjoy having fun, then what are you waiting for? Apply today! 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. #LI-Hybrid NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

Responsibilities

Design, develop, and automate system-level tests for installation, upgrade, and compatibility across BlueField platforms. Perform deep cross-layer debugging across firmware, kernel, and networking stacks to ensure release readiness.