$122.40K - $161.30K/yr
More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... NVIDIA is hiring a Senior AI Compiler Engineer. GPUs are driving rapid progress in deep learning ...
Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor's or ...
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Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor's or ...
Machine Learning Engineer
Portland, OR · On-site
Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor's or ...
Machine Learning Engineer
Portland, OR · On-site
Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor's or ...
Machine Learning Engineer
Portland, OR · On-site
Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications Bachelor's or ...
Machine Learning Engineer
Portland, OR · On-site
Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications Bachelor's or ...
Overview Machine Learning Engineer, AI Platform As a Machine Learning Engineer, you will design, build, and ship AI agents and automation that solve real problems across HealthEdge's engineering ...
Overview Machine Learning Engineer, AI Platform As a Machine Learning Engineer, you will design, build, and ship AI agents and automation that solve real problems across HealthEdge's engineering ...
Junior Machine Learning Engineer-remote/BI Analyst - Junior Level (Remote)
Portland, OR · On-site +1
The tech industry still needs skilled developers -- you just need the right platform to re-enter. A ... in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Layoff ...
Junior Machine Learning Engineer-remote/BI Analyst - Junior Level (Remote)
Portland, OR · On-site +1
The tech industry still needs skilled developers -- you just need the right platform to re-enter. A ... in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Layoff ...
$122.40K - $161.30K/yr
More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep ...
$122.40K - $161.30K/yr
PTX enables all GPU Computing applications including HPC, Deep Learning and Autonomous Driving. PTX ... Compute programming languages compiled to NVIDIA GPUs. PTX is also used as a compiler target by ...
$114.40K - $137.40K/yr
Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Company Highlights:
$114.40K - $137.40K/yr
Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Company Highlights:
Machine Learning Engineer
Foster, OR · On-site +1
$160K - $215K/yr
The Machine Learning Engineer will work in close collaboration with the core instrument, assay and software teams to develop algorithms for data analysis and workflow automation. This role reports to ...
New
Machine Learning Engineer
Foster, OR · On-site +1
$160K - $215K/yr
The Machine Learning Engineer will work in close collaboration with the core instrument, assay and software teams to develop algorithms for data analysis and workflow automation. This role reports to ...
New
OR · On-site
Strong programming (Python, Golang) and algorithmic skills. * Solid foundations in machine learning, algorithms, or optimization * Curious, self-motivated, and comfortable working on open-ended ...
Staff Machine Learning Engineer
OR · On-site +1
Join our team at Workiva as a Staff Machine Learning Engineer! As a pivotal member of our Machine Learning (ML) team, you'll spearhead the architecture and delivery of groundbreaking machine learning ...
New
Staff Machine Learning Engineer
OR · On-site +1
Join our team at Workiva as a Staff Machine Learning Engineer! As a pivotal member of our Machine Learning (ML) team, you'll spearhead the architecture and delivery of groundbreaking machine learning ...
New
OR · On-site
As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and platform engineering-collaborating closely with Research Scientists, Data Scientists, and ML Platform ...
Machine Learning (ML) Engineer
OR · On-site +1
... Engineering, Mathematics, or a related field. * 5+/4+ years of professional work experience after BS/MS applying machine learning to real-world problems, and crafting scalable and effective ML/AI ...
Machine Learning (ML) Engineer
OR · On-site +1
... Engineering, Mathematics, or a related field. * 5+/4+ years of professional work experience after BS/MS applying machine learning to real-world problems, and crafting scalable and effective ML/AI ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
Machine Learning & Operations Engineer
Corvallis, OR · Remote
$72K - $97.40K/yr
About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning.
Machine Learning & Operations Engineer
Corvallis, OR · Remote
$72K - $97.40K/yr
About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning.
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
OR · On-site
You will help design and build end-to-end machine learning solutions. * You will be working in ... You will work closely with engineers, product managers, other teams, and both internal and external ...
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's invention of the GPU 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, we are increasingly known as "the AI computing company".
NVIDIA is hiring a Senior AI Compiler Engineer. GPUs are driving rapid progress in deep learning-from LLMs and generative AI to recommendation, vision, and speech. On this team, you'll build an MLIR-based AI compiler that powers NVIDIA's inference engine end to end, with a focus on performance, fast builds, low memory use, and Ahead-of-Time and Just-in-Time usability across data center and edge.
What you'll be doing:
Develop MLIR-based graph representations and optimizations for future GPU architectures.
Partner with framework and hardware teams to enable new model patterns and upcoming GPU architectural features.
Define APIs and MLIR dialects, conduct performance optimizations and analysis, implement compiler optimizations and kernel generation for neural networks, and contribute to other general software engineering work.
What we need to see:
Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, a related field, or equivalent experience.
3+ years of relevant work or research experience in performance analysis and compiler optimizations.
Experience with compiler technologies such as MLIR, XLA, and LLVM.
Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and testing.
Ability to work independently, define project goals and scope, and lead your own development efforts.
Strong interpersonal skills and the ability to thrive in a fast-moving, dynamic, product-oriented team.
Ways to stand out from the crowd:
Understanding of deep learning models, algorithms, and frameworks such as PyTorch and JAX.
Experience with GPU kernel generation targeting high performance and fast build times.
Proficiency in GPU architecture with CUDA or OpenCL programming experience.
A track record of mentoring early career engineers and interns is a bonus
With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
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.
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