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חברה בתחום הייטק / חומרה / תוכנה / סייבר

יקנעם עילית

חברה בתחום הייטק / חומרה / תוכנה / סייבר

יקנעם עילית
מלאה

The DOCA Verification team is seeking a highly motivated and hardworking Senior Software Verification Engineer. This role requires hands-on technical experience to verify the design and implementation of the next generation Data Processing Unit (DPU) Software. The position involves working with a wide range of features related to networking, hardware accelerators, cybersecurity, and embedded systems.

This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting data centers across the world. At NVIDIA, we are united in our quest to transform the way Smart Network Adapters are used.

What you'll be doing:

Define and implement comprehensive verification strategies, including functional, integration, system, and regression testing.

Provide technical guidance and mentorship to team members on software testing methodologies, tools, and best practices.

Collaborate closely with cross-functional teams, including software development, product management, and project stakeholders, to ensure requirements are clearly understood and tested.

Foster a culture of learning, innovation, and excellence within the team.

Requirements:
What we need to see:

Bachelors Degree in EE, CS, CE or equivalent experience.

7+ years of experience in software verification with at least 23 years in a technical leadership role.

Strong programming skills in C/C++ must, Python or other scripting languages (such as Shell) - advantage.

Proven experience with verification of Network applications and protocols.

Proven ability to lead and inspire teams in a fast-paced environment.

Strong analytical, problem-solving, and decision-making skills.

Excellent communications skills, self-motivated and well organized.

Ways to stand out from the crowd:

Possess prior experience in software testing, with a solid understanding of testing tools and methodologies such as gtest, pytest or other similar frameworks.

Familiar with Networking virtualization concepts.

Background with RDMA technology.

Knowledge of software development life cycle (SDLC) and Agile methodologies.

knowledge of NVIDIA Data Processing Unit (DPU) products, as well as other NVIDIA technologies and solutions.

This position is open to all candidates.