We are seeking a talented and driven Senior Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domains of high-speed networking and virtualization. You will play a key role in validating and testing complex software products that support the InfiniBand protocol, delivering advanced networking services for cloud, HCP machine learning, and AI workloads.
What You’ll Be Doing:
Build automated verification tests in a simulated environment for high-end hardware and software.
Collaborate with multiple teams to understand new network technologies, ensuring accurate modeling of complex network behaviors.
Enhance product quality by improving test coverage and developing comprehensive verification strategies.
What We Need to See:
Bachelor’s or master’s degree in computer science, Data Science, or a related field, or equivalent experience.
Proven experience in Python programming.
Experience in developing modern Software Verification Systems, with a passion for algorithms.
5+ years of experience in similar roles.
Strong skills in implementing and debugging software.
Outstanding software debugging and problem-solving skills.
Ways to Stand Out from the Crowd:
Understanding of the OCI/network model.
Experience with Docker and Kubernetes.
Knowledge of C/C++ programming.
A scripting background (e.g., Bash, Groovy).
Joining NVIDIA means being part of an exceptionally hard-working and ambitious team. We thrive on innovation and collaboration, and we strictly adhere to our mission of delivering world-class products. This is your chance to compete at the highest levels in the tech industry and determine the future of AI and supercomputing. We value our employees and provide an encouraging, inclusive environment where you can grow your career and achieve your goals. Be part of something truly groundbreaking and make a significant impact on the world!
#LI-Hybrid
Skills Required
- Bachelor's or master's degree in computer science, Data Science, or a related field, or equivalent experience.
- Proven experience in Python programming.
- Experience in developing modern Software Verification Systems, with a passion for algorithms.
- 5+ years of experience in similar roles.
- Strong skills in implementing and debugging software.
- Outstanding software debugging and problem-solving 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.
-
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.
-
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.
-
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.”
