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AI Job Summary

Build and optimize scalable software automation systems for data center and HPC environments, with focus on AI/ML integration and validation tools. You'll need five-plus years of hands-on software development experience with strong programming skills in Python, C++, or similar languages, plus knowledge of AI/ML frameworks like PyTorch or TensorFlow. Collaborate across architecture, network, and compute teams to improve system performance, troubleshoot distributed systems, and participate in continuous improvement. Experience with embedded programming, networking protocols, or optimizing AI workloads in distributed environments is valued.

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Job Description

NVIDIA is 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 you’ll 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

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

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NVIDIA
Hardware & Semiconductors · 200-500 Members · Santa Clara, CA, United States

NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.

All jobs at NVIDIA

Location

Israel

Job Overview
Job Posted:
1 month ago
Workplace
On-site
Job Type
Full Time
Education
Any
Experience
5+ years

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