$104.40K - $143.40K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...
$104.40K - $143.40K/yr
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 ...
$104.40K - $143.40K/yr
In this role, develop compiler optimization algorithms for deep learning workloads. You will ... A history of mentoring junior engineers and interns is a bonus. Ways to stand out from the crowd:
OR · On-site
$122.40K - $161.30K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...
Our Compiler team is responsible for constructing and emitting the highest performance GPU machine ... Be part of a team that is at the center of deep-learning compiler technology spanning architecture ...
$122.40K - $161.30K/yr
We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our ... The ideal candidate brings broad experience across machine learning, including reinforcement ...
OR · Hybrid
We are now looking for a Senior Machine Learning Applications and Compiler Engineer! NVIDIA is seeking engineers to develop algorithms and optimizations for our LPX inference and compiler stack. You ...
Compiler Engineer
Hillsboro, OR · On-site
$149.60K - $211.20K/yr
Mentor and support junior engineers, providing technical leadership, guidance, and best practices ... Compiler backend design and implementation * Application of compiler concepts and techniques with ...
Compiler Engineer
Hillsboro, OR · On-site
$149.60K - $211.20K/yr
Mentor and support junior engineers, providing technical leadership, guidance, and best practices ... Compiler backend design and implementation * Application of compiler concepts and techniques with ...
Senior Software Engineer - Deep Learning Compiler CI Infrastructure
$133.40K - $175.90K/yr
In this role you will work closely with deep learning compiler engineers to own and evolve the CI/CD infrastructure that powers the development lifecycle of NVIDIA's deep learning compiler stacks.
Senior Software Engineer - Deep Learning Compiler CI Infrastructure
$133.40K - $175.90K/yr
In this role you will work closely with deep learning compiler engineers to own and evolve the CI/CD infrastructure that powers the development lifecycle of NVIDIA's deep learning compiler stacks.
$104.40K - $143.40K/yr
We are building the next generation of compiler technologies to accelerate deep learning workloads. We are looking for an engineer to implement compiler verification software & related infrastructure ...
$122.40K - $161.30K/yr
More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... NVIDIA is hiring software engineers for its Deep Learning & AI Compiler (DLC) team. Academic and ...
Compiler Engineer
$149.60K - $211.20K/yr
Mentor and support junior engineers, providing technical leadership, guidance, and best practices ... Compiler backend design and implementation * Application of compiler concepts and techniques with ...
Compiler Engineer
$149.60K - $211.20K/yr
Mentor and support junior engineers, providing technical leadership, guidance, and best practices ... Compiler backend design and implementation * Application of compiler concepts and techniques with ...
$122.40K - $161.30K/yr
More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... NVIDIA is hiring software engineers for its Deep Learning & AI Compiler (DLC) team. Academic and ...
More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... Our Compiler team is responsible for constructing and emitting the highest performance GPU machine ...
$122.40K - $161.30K/yr
More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... NVIDIA is hiring software engineers for its Deep Learning & AI Compiler (DLC) team. Academic and ...
Senior Compiler Engineer Infrastructure
OR · On-site +1
$108.40K - $147.40K/yr
We are looking for an experienced Compiler Infrastructure Engineer to join our Compute Compiler ... Familiarity with deep learning frameworks and performance-sensitive workloads on NVIDIA GPUs With ...
Senior Compiler Engineer Infrastructure
OR · On-site +1
$108.40K - $147.40K/yr
We are looking for an experienced Compiler Infrastructure Engineer to join our Compute Compiler ... Familiarity with deep learning frameworks and performance-sensitive workloads on NVIDIA GPUs With ...
$122.40K - $161.30K/yr
We are looking for an AI & Deep Learning Compiler Engineer. NVIDIA is hiring software engineers for its Deep Learning & AI Compiler (DLC) team. Academic and commercial groups around the world are ...
$104.40K - $143.40K/yr
We're looking for a Senior Performance Compiler Engineer to join our team and work on the open ... Experience with machine learning compilers like TVM or MLIR. * Contributions to open-source ...
$104.40K - $143.40K/yr
We are seeking for an expert Senior Compiler Engineer to join our Compute Compiler Team, with a ... Familiarity with deep learning frameworks and performancecritical workloads on NVIDIA GPUs With ...
$104.40K - $143.40K/yr
NVIDIA is building advanced compiler technologies to accelerate AI workloads, and we are looking ... We are seeking a talented Deep Learning Compiler & Tools Engineer focused on CUDA Tile (Performance ...
Junior Machine Learning Compiler Engineer information
What are the key skills and qualifications needed to thrive as a Junior Machine Learning Compiler Engineer, and why are they important?
To thrive as a Junior Machine Learning Compiler Engineer, you need a solid background in computer science fundamentals, programming (especially C++ and Python), and foundational knowledge of machine learning and compiler theory. Familiarity with frameworks and tools such as LLVM, TensorFlow, MLIR, and version control systems is typically required, along with a relevant bachelor’s or master’s degree. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills set standout candidates apart. These skills and qualities are crucial for efficiently optimizing machine learning models for various hardware targets and collaborating on innovative compiler solutions.
What are typical projects and responsibilities for a Junior Machine Learning Compiler Engineer in a collaborative team setting?
As a Junior Machine Learning Compiler Engineer, you can expect to work on projects that focus on optimizing machine learning models for performance and deployment across various hardware platforms. Typical responsibilities include assisting in developing and debugging compiler passes, implementing optimizations, and contributing to code reviews. You'll frequently collaborate with senior engineers, data scientists, and hardware specialists to ensure that models are efficiently translated and executed. This role offers valuable learning opportunities through hands-on coding, exposure to state-of-the-art ML frameworks, and regular team meetings for knowledge sharing and mentorship.
What does a Junior Machine Learning Compiler Engineer do?
A Junior Machine Learning Compiler Engineer helps design, develop, and optimize compilers for machine learning models. Their work involves translating high-level machine learning code into efficient low-level code that can run on various hardware platforms, such as CPUs, GPUs, or specialized AI chips. They often collaborate with software engineers and data scientists to ensure that machine learning workloads run efficiently and correctly. This role typically involves programming, debugging, and performance tuning, often using languages like C++, Python, and specialized frameworks.
What is the difference between Junior Machine Learning Compiler Engineer vs Data Scientist?
| Aspect | Junior Machine Learning Compiler Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in Computer Science, Software Engineering, or related field; knowledge of compiler design and ML frameworks | Bachelor's or higher in Data Science, Statistics, Computer Science, or related field; strong analytical skills |
| Work Environment | Software development teams, focusing on compiler optimization for ML models | Data analysis teams, focusing on data interpretation and model development |
| Employer & Industry Usage | Tech companies, AI startups, hardware firms | Tech firms, finance, healthcare, research institutions |
The Junior Machine Learning Compiler Engineer primarily focuses on developing and optimizing compilers for machine learning models, requiring programming and compiler knowledge. In contrast, a Data Scientist analyzes data, builds models, and provides insights. Both roles are essential in AI and tech industries but differ in technical focus and daily tasks.
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Job description
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 looking for a Deep Learning Compiler Engineer. NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in many areas, e.g. large language models, generative AIs, recommendation systems, image classification, speech recognition, etc. Our DLC has been the backbone of NVIDIA inference engine, spanning across data centers, personal devices, automotive, and robotics. The compiler must deliver leading inference performance, fast build time, reduced memory footprints, and ease of use in the forms of both Ahead-of-Tine and Just-in-Time. Join the team building the DLC which will be used by the entire deep learning community.
What you'll be doing:
Analyzing deep learning networks and developing compiler optimization algorithms.
Collaborating with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software.
Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler infrastructure techniques for neural networks, and other general software engineering work.
What we need to see:
Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience
3+ years of relevant work or research experience in performance analysis and compiler optimizations.
Ability to work independently, define project goals and scope, and lead your own development efforts.
Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.
Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.
Ways to stand out from the crowd:
Proficient in CPU and/or GPU architecture. CUDA or OpenCL programming experience.
Experiences in systems with constrained resources, such as embedded platforms, small memory size, and cross compilation.
Experience with the following technologies: MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as PyTorch.
GPU kernel generation with high performance and fast build time.
A track record of success in mentoring junior engineers and interns is a bonus.
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 152,000 USD - 241,500 USD.You will also be eligible for equity and benefits.
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
About Nvidia
Sourced by ZipRecruiter
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.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1993