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
- 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
- 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
Skills Required
- 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
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
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.”
