Senior AI and LLM Solutions Software Engineer

Reposted Yesterday
Be an Early Applicant
2 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop AI and LLM-based solutions to enhance design and verification processes, collaborating with cross-functional teams for efficiency.
Summary Generated by Built In

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.

Top Skills

AI
Large Language Models
Linux
Machine Learning
Python
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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