Senior Software Engineer - Verification AI Infrastructure
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Get Started FreeAbout interviewing at NVIDIA
Recruiter screen, a technical screen mixing resume deep-dive with live coding, a hiring-manager conversation, then a panel of three to five 45–60 minute rounds: coding, systems design under hardware constraints, a domain deep-dive, and behavioral. Highly team-specific — you interview directly with the team — with C++ depth expected almost universally and decisions sometimes taking five-plus weeks after the panel.
Read the full NVIDIA interview process →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