NVIDIA is seeking a talented and highly motivated Software Engineer to join our Chip Design Technologies team, which delivers best-in-industry Design, Formal Verification (FV), and Design Verification (DV) solutions and methodologies. This position focuses on developing AI, Machine Learning (ML), and Large Language Models (LLMs) based solutions to enhance design and verification methods. Whether you have several years of experience in AI or are a seasoned expert, this role offers the chance to make a significant impact in a rapidly evolving field.
What you'll be doing:
Define and develop cutting-edge AI and LLM-based solutions, tailored to enhance and innovate design and verification processes.
Deeply understand existing design and verification workflows, identify opportunities for improvement, and implement customized solutions that drive efficiency and effectiveness.
Collaborate closely with designers and verification specialists, ensuring seamless integration of AI/ML solutions across multiple projects.
What we need to see:
Bachelor's or Master’s Degree in Computer Science or Computer Engineering
5+ overall years of hands-on experience in software development, with a strong foundation in AI/ML technologies.
At least 2 years of proven experience in developing AI and LLM-based solutions (more years is an advantage).
Excellent communication skills to work effectively with engineers from multiple teams, facilitating improvements based on a positive feedback loop
Strong Python programming skills
A proactive attitude and a passion for continuous improvement in design processes.
Strong analytical, debugging and problem-solving skills
Ways to stand out from the crowd:
Experience in Linux environments.
Experience with data collection and analysis
Understanding of the chip design/verification process
NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're creative and hands-on with a real passion for technology, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Skills Required
- Bachelor's or Master's Degree in Computer Science or Computer Engineering
- 5+ years of hands-on software development experience
- 2 years of experience in developing AI and LLM-based solutions
- Strong Python programming skills
- Excellent 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.”
