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מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

חברה בתחום הייטק / חומרה / תוכנה / סייבר

כפר גלעדי

חברה בתחום הייטק / חומרה / תוכנה / סייבר

כפר גלעדי
מלאה
22,000-35,000 ₪ הערכה מבוססת AI ולא שכר שהתקבל מהמעסיק
הערכה מבוססת AI ולא שכר של המעסיק

We are seeking a dedicated Software Engineer to join the Vertical Verification Group. As a senior team member, you will help craft high-performing software automation systems for NVIDIA's Data Center environments. The role focuses on software development and solutions involving AI. You will collaborate with NIC, OS, Switch, HCA, CPU, and GPU compute teams, working closely with architects, network engineers, and developers. With skilled engineers worldwide, the work environment is dynamic, meaningful, and fast-paced. Are you ready for the challenge?

What youll be doing:
Build, develop, and optimize scalable software systems with a focus on AI/ML integration.
Build automation and validation tools simulating data center and HPC environments.
Collaborate with cross-functional teams to define requirements and deliver robust solutions.
Improve system performance, scalability, and reliability through architectural improvements.
Troubleshoot complex issues in distributed systems and improve observability.
Participate in code reviews, build discussions, and continuous improvement efforts.

Requirements:
What we need to see:
B.Sc. in Computer Science, Engineering, or a related field (or equivalent experience).
5+ years of hands-on software development experience.
Strong programming skills in Python, C++, or similar languages.
Experience with AI/ML frameworks such as PyTorch or TensorFlow.
Solid understanding of data structures, algorithms, and system building.
Experience working in Linux environments.
Strong debugging, problem-solving, and communication skills.

Ways to stand out from the crowd:
Experience with embedded programming (low-level C/C++).
Familiarity with networking protocols (TCP/IP, UDP, etc.).
Experience optimizing AI workloads in distributed or edge environments.
Contributions to high-performance or AI-related systems.

This position is open to all candidates.