招聘
Benefits & Perks
•Team events and activities
•401(k) matching
•Parental leave
•Flexible work arrangements
•Professional development budget
•Generous paid time off and holidays
•Parental Leave
•Flexible Hours
•Learning
Required Skills
Python
JavaScript
TypeScript
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years! It's an outstanding legacy of innovation that's fueled by phenomenal technology—and outstanding people! As part of NVIDIA's applied LLM and AI chip design team, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of chip design at NVIDIA and throughout the industry. Our team operates at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions. If you're passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation.
What you will be doing:
-
Lead Agentic AI solutions including sophisticated AI agents and fine tuning & integrating with enterprise production systems.
-
Play a key role in design, development, and deployment of AI applications using LLMs, internal and external Agentic frameworks, and other related technologies.
-
Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications.
-
Drive impact by designing and deploying LLM-powered solutions for engineering assistants and multi-turn, multi-modal dialogue systems.
-
Make a difference by leveraging AI technologies to solve complex problems in chip design, driving innovation and meaningful impact across the industry.
-
Stay ahead by engaging with the latest advancements in machine learning and AI to create state-of-the-art solutions.
-
Lead with purpose and maintain high-quality engineering practices that inspire others to achieve excellence.
What we need to see:
-
Master's or PhD degree in Electrical Engineering, Computer Science/Engineering, or a related discipline (or equivalent experience).
-
5+ years of proven industry experience
-
Proficiency in rapid prototyping using Python with strong foundational knowledge of data structures, algorithms, and software engineering principles.
-
Experience with fine-tuning large language models, building advanced multi-agent systems, RAG pipelines and vector databases.
-
Strong analytical, communication, and interpersonal skills, with a proven ability to thrive in dynamic, product-focused, and distributed teams.
-
A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our applied AI engineering team and help us build the future of chip design.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 218,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until January 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.
Total Views
0
Apply Clicks
0
Mock Applicants
0
Scraps
0
Similar Jobs

Staff Software Engineer, Core Shopping
Instacart · United States - Remote

Senior AI/ML Architect, Applied Field Engineering
Snowflake · US-CA-Menlo Park

Staff Site Reliability Engineer
Udemy · Dublin, Ireland

Senior DevOps Engineer
Relativity Space · Long Beach, California

Senior Site Reliability Engineer
Fivetran · Toronto, Ontario, Canada
About NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
Employees
Santa Clara
Headquarters
$4.57T
Valuation
Reviews
4.1
10 reviews
Work Life Balance
3.5
Compensation
4.2
Culture
4.3
Career
4.5
Management
4.0
75%
Recommend to a Friend
Pros
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
Cons
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
Salary Ranges
47 data points
Junior/L3
Mid/L4
Junior/L3 · Analyst
7 reports
$170,275
total / year
Base
$130,981
Stock
-
Bonus
-
$155,480
$234,166
Interview Experience
7 interviews
Difficulty
3.1
/ 5
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
News & Buzz
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
News
·
NaNw ago
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
News
·
NaNw ago
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
News
·
NaNw ago
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
News
·
NaNw ago