NVIDIA is seeking a dynamic and highly motivated Senior Software Manager to lead our software verification and automation for DOCA Networking SDK. We are looking for a candidate who can excel in a sophisticated, multidisciplinary environment, take ownership, and drive high-quality verification and automation processes. This position offers the opportunity to have a real impact on sophisticated, groundbreaking products, delivered by Nvidia and developed by our customers, empowering the most advanced data centers in the world. This role requires close collaboration with teams across various fields (SW, HW, QA) to elevate our product to the next level.
What you'll be doing:
Lead teams of software verification engineers, providing technical direction, career development, and performance mentorship
Define and continuously refine our software testing methodology and processes
Engage in a hands-on approach, actively participating in the design, coding, and debugging of verification tests and infrastructure alongside your team
Lead the verification process, ensuring the functionality, stability, and performance of our DOCA networking SDK and the solutions on top of it
Work closely with internal and external customers to understand system use cases
Analyze coverage measures to identify verification gaps and provide data-driven insights into product development and release readiness
What we need to see:
B.Sc degree or equivalent experience in Computer Science, Computer Engineering, or Electrical Engineering
10+ years of overall professional experience and 4+ years of experience managing managers or senior engineers.
Proficient in Python, C, C++ with the technical depth to guide and mentor the team
Experience with regression systems and their optimizations
Experience with Networking Protocols, mainly Ethernet
Experience with virtualization technologies
Strong analytical, debugging, and problem-solving skills with meticulous attention to detail
Experience with embedded SW development
Excellent interpersonal skills and the ability to multitask in a dynamic environment with shifting priorities
Self-motivated and well-organized
Ways to stand out from the crowd:
Advanced understanding in ethernet protocols and RDMA
Experience with Cloud and AI workload optimization
Proficiency in Continuous Integration (CI) methodologies and tools such as Gerrit, Jenkins, and GitLab
Experienced in test generation and coverage methods and metrics
Background in Linux Kernel, security protocols
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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, 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.
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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.”
