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Full Stack Developer, AI and LLM - job 2 of 2

NVIDIA's Silicon Solutions Group is seeking a full-stack developer with AI/LLM expertise to help integrate AI into its data analysis and automation infrastructure. The solutions developed will support multiple critical large-scale automation initiatives. In this role, you will lead strategies and design of AI solutions to improve the efficiency of our existing and new automation workflows. The ideal candidate will combine technical expertise with hands-on experience to drive all AI planning, design, and implementation aspects. At NVIDIA, we strive for excellence, encourage innovation, and provide opportunities to explore new ways to succeed!

What You'll Be Doing:

  • Study and develop groundbreaking techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis.

  • Collaborate with developers and cross-functional teams to identify current and emerging challenges.

  • Design and implement end-to-end generative AI solutions, specializing in Large Language Model (LLM) training, efficient deployment strategies, and sophisticated Retrieval-Augmented Generation (RAG) workflows.

What We Need to See:

  • MS (or equivalent experience) with 6+ years of software development; 2+ years relevant work experience in developing and deploying AI solutions

  • Proven full-stack development experience with a focus on improving application performance and user experience

  • Proficiency in Python, C++ programming, and Deep Learning frameworks

  • Ability to work independently and as part of a team

  • Motivated self-starter with strong analytical and debug skills

  • Ability to balance multiple simultaneous projects

  • Excellent verbal and written communication skills

Ways to Standout from the crowd:

  • Experience with CUDA programming and benchmarking and analyzing performance AI Agentic systems

  • Expertise in training, fine-tuning, and evaluating LLMs using popular frameworks such as TensorFlow or PyTorch

  • Proficiency in model deployment and optimization techniques for efficient inference on various hardware platforms

  • Experience with NVIDIA GPUs and software libraries, such as NVIDIA NeMo Framework, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM

  • Proficiency in model deployment and optimization techniques for efficient inference on various hardware platforms ·

NVIDIA is widely considered to be one of the world's most desirable employers in the technology field. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

#LI-Hybrid

The base salary range is 184,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

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Average salary estimate

$270250 / YEARLY (est.)
min
max
$184000K
$356500K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Full Stack Developer, AI and LLM, NVIDIA

NVIDIA's Silicon Solutions Group is on the hunt for a talented Full Stack Developer with a focus on AI and LLM expertise to join our dynamic team, working remotely from anywhere in the U.S. This role is vital in integrating innovative AI solutions into our data analysis and automation frameworks, aiding our large-scale automation initiatives. As a Full Stack Developer, you will spearhead the design and implementation of cutting-edge AI technologies that enhance the efficiency of our workflows. If you thrive on tackling challenges and have a knack for deep learning and machine learning, this could be the perfect fit for you! You will be expected to collaborate with multidisciplinary teams, engineer groundbreaking deep learning techniques, and develop generative AI solutions, particularly in Large Language Model training. With a requirement of 6+ years in software development, including 2 years honing your skills in AI solutions, you will be our go-to for ensuring optimal performance and an enhanced user experience. At NVIDIA, we celebrate creativity and innovation, fostering an environment where your contributions truly matter. If you're passionate about driving technology forward and ready to make an impact, apply today!

Frequently Asked Questions (FAQs) for Full Stack Developer, AI and LLM Role at NVIDIA
What are the key responsibilities of a Full Stack Developer at NVIDIA?

As a Full Stack Developer at NVIDIA, you will focus on designing and implementing AI solutions that enhance our data analysis and automation tools. Your responsibilities will include leading strategies for AI development, collaborating with cross-functional teams to solve challenges, and utilizing your expertise in deep learning and machine learning to create innovative applications.

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What qualifications are required for the Full Stack Developer position at NVIDIA?

NVIDIA requires a Full Stack Developer to possess at least an MS degree or equivalent experience with 6+ years in software development, including 2+ years in AI solutions. Proficiency in programming languages such as Python and C++, as well as experience with Deep Learning frameworks, is essential. Strong analytical skills and a collaborative spirit are also important.

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What technologies and frameworks should a Full Stack Developer at NVIDIA be familiar with?

A successful Full Stack Developer at NVIDIA should be skilled in Python and C++, with a solid understanding of Deep Learning frameworks such as TensorFlow or PyTorch. Familiarity with model deployment techniques, particularly for Large Language Models (LLMs), and NVIDIA software libraries is also crucial for the role.

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How does NVIDIA support professional growth for Full Stack Developers?

NVIDIA is committed to fostering an environment of innovation and professional development. As a Full Stack Developer, you will have the opportunity to work on cutting-edge projects, collaborate with industry leaders, and access a wealth of training resources to enhance your skills and contribute to groundbreaking AI solutions.

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What is the salary range for a Full Stack Developer position at NVIDIA?

The base salary range for a Full Stack Developer at NVIDIA is between $184,000 to $356,500, depending on location, experience, and comparability to similar positions within the company. Additionally, you will also be eligible for equity and benefits, reflecting NVIDIA's commitment to rewarding its employees.

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Common Interview Questions for Full Stack Developer, AI and LLM
Can you describe your experience with full stack development?

In your response, highlight specific projects you've worked on, the technology stack you used, and how you approached both front-end and back-end challenges. Emphasize teamwork and collaboration, which are crucial at NVIDIA.

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What frameworks are you proficient in for AI and machine learning?

List the frameworks you're experienced with, particularly if they include TensorFlow or PyTorch, and describe how you've applied them in past projects. This will show your relevance to the Full Stack Developer role at NVIDIA.

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How do you handle performance issues in software applications?

Discuss your approach to performance optimization, including techniques you've used such as profiling, benchmarking, and improving algorithms. Your ability to ensure software efficiency is vital for the Full Stack Developer position at NVIDIA.

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What is your approach to collaborating with cross-functional teams?

Describe specific instances where effective communication and collaboration led to successful project outcomes. At NVIDIA, teamwork often leads to innovative solutions, so your answer should convey your cooperative nature.

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Have you ever implemented AI solutions in a production environment? If so, how did you go about it?

Share detailed experiences where you've taken AI models from development to production, including challenges encountered and how you overcame them. Connect this to NVIDIA's focus on generative AI solutions.

Join Rise to see the full answer
What do you consider the key factors for successful end-to-end LLM deployment?

Discuss important considerations like data preprocessing, model training, performance evaluation, and deployment strategies. Your insights should align with NVIDIA's goals for effective AI solutions.

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Can you explain your experience with CUDA programming?

If applicable, be sure to describe any relevant experience you have with CUDA, emphasizing specific projects. Since NVIDIA values CUDA expertise, illustrate how it contributes to your effectiveness in AI applications.

Join Rise to see the full answer
What strategies do you use for debugging complex software issues?

Offer an overview of your debugging process, including tools and strategies you employ. By showcasing your analytical skills, you will demonstrate your fit for the Full Stack Developer role at NVIDIA.

Join Rise to see the full answer
How do you stay updated with advancements in AI and full stack development?

Talk about resources you utilize such as online courses, developer communities, conferences, and publications in the field. Expressing your commitment to continual learning is essential for NVIDIA's innovative environment.

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Why are you interested in working for NVIDIA as a Full Stack Developer?

Articulate your enthusiasm for NVIDIA's mission and innovation in AI and technology, along with how your skills align with the company's objectives. This will show your genuine interest in being part of the NVIDIA team.

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NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.

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CULTURE VALUES
Customer-Centric
Mission Driven
Inclusive & Diverse
Rise from Within
Diversity of Opinions
Work/Life Harmony
Growth & Learning
Transparent & Candid
BENEFITS & PERKS
Medical Insurance
Paid Time-Off
Maternity Leave
Mental Health Resources
Equity
Child Care stipend
Paternity Leave
WFH Reimbursements
Flex-Friendly
Dental Insurance
Vision Insurance
Life insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
401K Matching
Military leave
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
April 4, 2025

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