Manager, Software Verification - Bluefield BMC

We are seeking an exceptional Software Verification Manager to lead our software verification team within the Data Processing Unit (DPU) SW Group.

In this role, you will manage a team of skilled verification engineers, providing technical leadership and overseeing the execution of verification plans.

Key Responsibilities:

• Lead, mentor, and develop a team of software verification engineers, promoting technical excellence and professional growth.
• Provide technical guidance and hands-on mentorship, driving the creation of comprehensive verification plans and automated environments using Python.
• Lead end-to-end feature validation, ensuring robust hardware-software interoperability for high-end hardware and software.
• Conduct code reviews, define engineering procedures, and identify, analyze, and report software defects.
• Drive improvements in performance, quality, and stability for software acceleration solutions, collaborating with R&D.
• Partner with cross-functional teams across multiple engineering organizations worldwide.

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
• 3+ years of experience in a managerial or team lead position, with a proven track record of leading engineering teams.
• 8+ years of overall experience in software development or verification, with a strong technical background.
• Expertise in Python, particularly in testing complex embedded systems or firmware-integrated environments.
• Strong verification skills with experience in developing modern software testing and QA automation frameworks.
• Knowledge of networking and compute infrastructure (servers, switches, routers, TCP/UDP).
• Familiarity with Linux distributions (CentOS/RedHat, Ubuntu) and experience in software debugging and problem-solving.
• Understanding of how to optimize environments for performance and deploy infrastructure based on innovative technologies and high-end hardware.

Preferred Qualifications:

• Experience with PyTest or other modern Python testing tools.
• Proficiency with data search and analytics engines (Elasticsearch, Kibana, Grafana).
• Hands-on experience with virtualization in Linux (QEMU/KVM).
• Background in CI/CD methodologies, infrastructure, and toolsets (Jenkins, Git).
• Knowledge of Docker, Kubernetes, and understanding of C/C++ toolchain in Linux.