Our DOCA Verification team is seeking a highly motivated and hardworking Software Engineer with hands-on capability technical experience, to verify the design and implementation of the next generation Data Processing Unit Software, with wide range of features related to cyber security and embedded systems. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting data centers across the world. We're united in our quest to transform the way Smart Adapters are used.
What you'll be doing:
Collaboration & Communication: Work closely with software, architecture, product and DevOps teams to define test requirements, coordinate releases, and ensure high-quality product delivery.
End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test plan development to final implementation and full automation.
Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products
System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools.
Defect Analysis: Analyze test results, open bugs and track issues to closure, ensuring robust and scalable solutions.
Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.
Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools.
Regression Monitoring: Operate, monitor, and analyze failures in the nightly regression system, providing methodical root-cause analysis across hardware, OS, and software layers.
Requirements: What we need to see:
Bachelors Degree in EE, CS or CE or equivalent work experience.
5+ years of experience in software testing or software engineering.
Strong programming skills in C/C++.
Solid experience with Linux-based environments, including system tools and command-line utilities.
Methodical troubleshooting skills in Linux environments with a disciplined approach to evidence-based failure analysis.
Detail oriented and comfortable multitasking in a dynamic environment with shifting priorities and changing requirements.
Ability to work with various teams and have strong analytical, debugging and problem-solving skills with attention to details.
Excellent communications skills, self-motivated and well organized.
Knowledge in operating systems and specifically with Linux.
Ways to stand out from the crowd:
Prior software testing experience, with an understanding of Software Testing Tools and Methodologies.
Python or other scripting languages (such as Shell)-advantage.
Experience in CI methodology & servers (e.g. Gerrit, Jenkins etc.).
Knowledge of NVIDIA DPU products.
This position is open to all candidates.