
Pioneering accelerated computing and AI
Senior Compiler Engineer - AI at NVIDIA
About the role
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are seeking a Machine Learning Compiler Engineer with deep expertise in compiler technologies to join our team. The ideal candidate will bring broad experience across the machine learning landscape—including reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems, and the analysis/manipulation of high-dimensional data—while also having strong foundations in compiler design and domain-specific languages.
What you'll be doing:
Become part of the team committed to progressing novel and inventive solutions in compilers and development tools, focusing on applied machine learning and artificial intelligence.
Join committed team members in leading tech sectors. Innovate in machine learning, system design, and more. Influence global products.
What we need to see:
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BS/MS/PhD in Computer Science or related field (or equivalent experience) with focus on machine learning and compiler development tools
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8+ years of software engineering and ML experience (tools development preferred)
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Strong knowledge of compilers, code generation, and GPU architecture
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Demonstrated technical proficiency and hands-on experience in Python, C/C++, Julia, and Lisp/Scheme
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Solid mathematical and scientific foundation relevant to ML and compiler technologies
Ways to Stand Out From the Crowd
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Familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and complex systems
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Expertise in developing and deploying AI/ML solutions to production environments and embedded systems
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Hands-on experience building compilers or compiler components using the LLVM framework, including optimization passes, code generation, or frontend integration
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 8, 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.
#deeplearning
Required skills
Compiler engineering
Machine learning
Domain-specific languages
Systems design
High-dimensional data analysis
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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
10 reviews
4.4
10 reviews
Work-life balance
2.8
Compensation
4.5
Culture
4.2
Career
4.3
Management
3.8
78%
Recommend to a friend
Pros
Cutting-edge technology and innovation
Excellent compensation and benefits
Great team culture and collaboration
Cons
High pressure and expectations
Poor work-life balance and long hours
Fast-paced environment leading to burnout
Salary Ranges
79 data points
L3
L4
L5
L3 · Data Scientist IC2
0 reports
$177,542
total per year
Base
-
Stock
-
Bonus
-
$150,910
$204,174
Interview experience
5 interviews
Difficulty
3.0
/ 5
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
Latest updates
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.
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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.
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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.
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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.
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