Redmond, WA · On-site
$117K - $160K/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:
Redmond, WA · On-site
$117K - $160K/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:
Redmond, WA · On-site
$117K - $160K/yr
The role involves driving innovative solutions in compilers and developer tools through applied machine learning and AI, focusing on building AI-driven compiler intelligence for production pipelines.
Redmond, WA · On-site
$117K - $160K/yr
The role involves driving innovative solutions in compilers and developer tools through applied machine learning and AI, focusing on building AI-driven compiler intelligence for production pipelines.
Santa Clara, CA · On-site
$122K - $168K/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:
Santa Clara, CA · On-site
$122K - $168K/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:
... learning workloads. This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which ...
... learning workloads. This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which ...
... learning workloads. This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which ...
... learning workloads. This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which ...
San Jose, CA · On-site
$160K - $300K/yr
Design, develop, and maintain compiler toolchains that translate machine learning models from ... Collaborate closely with machine learning engineers to support model conversion, validation ...
San Jose, CA · On-site
$160K - $300K/yr
Design, develop, and maintain compiler toolchains that translate machine learning models from ... Collaborate closely with machine learning engineers to support model conversion, validation ...
$160K - $300K/yr
Design, develop, and maintain compiler toolchains that translate machine learning models from ... Collaborate closely with machine learning engineers to support model conversion, validation ...
$160K - $300K/yr
Design, develop, and maintain compiler toolchains that translate machine learning models from ... Collaborate closely with machine learning engineers to support model conversion, validation ...
$103K - $142K/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:
$103K - $142K/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:
Raleigh, NC · On-site
$76K - $102K/yr
Qualcomm Technologies, Inc. is seeking an experienced CI Infrastructure Engineer to own and evolve the continuous integration infrastructure that supports their Machine Learning compiler stack. The ...
Raleigh, NC · On-site
$76K - $102K/yr
Qualcomm Technologies, Inc. is seeking an experienced CI Infrastructure Engineer to own and evolve the continuous integration infrastructure that supports their Machine Learning compiler stack. The ...
Redmond, WA · On-site
$137K - $180K/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 ...
Redmond, WA · On-site
$137K - $180K/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 ...
Santa Clara, CA · On-site
$143K - $189K/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 ...
Santa Clara, CA · On-site
$143K - $189K/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 ...
Austin, TX · On-site
$121K - $160K/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 ...
Austin, TX · On-site
$121K - $160K/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 ...
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 ...
Raleigh, NC · On-site
$76K - $102K/yr
Design, create, and maintain Jenkins pipelines for building, testing, and validating a Machine Learning compiler * Collaborate with compiler engineers to integrate new tests, workflows, and tooling ...
Raleigh, NC · On-site
$76K - $102K/yr
Design, create, and maintain Jenkins pipelines for building, testing, and validating a Machine Learning compiler * Collaborate with compiler engineers to integrate new tests, workflows, and tooling ...
Austin, TX · On-site
$96K - $132K/yr
As a Software Engineer II: AI Compiler Engineer you will work with complex high performance SoC ... Developing a deep learning compiler stack that takes neural network descriptions (CNNs/RNNs ...
Austin, TX · On-site
$96K - $132K/yr
As a Software Engineer II: AI Compiler Engineer you will work with complex high performance SoC ... Developing a deep learning compiler stack that takes neural network descriptions (CNNs/RNNs ...
Austin, TX · On-site
$121K - $160K/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 ...
Austin, TX · On-site
$121K - $160K/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 ...
Santa Clara, CA · On-site
$122K - $168K/yr
NVIDIA AI is at the forefront of modern AI infrastructure, focusing on groundbreaking technologies in machine learning compilers and AI systems. The Senior AI Compiler Engineer will design and ...
Santa Clara, CA · On-site
$122K - $168K/yr
NVIDIA AI is at the forefront of modern AI infrastructure, focusing on groundbreaking technologies in machine learning compilers and AI systems. The Senior AI Compiler Engineer will design and ...
Burlingame, CA · On-site
$110K - $270K/yr
... a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and ... Role As a senior member of our platform software engineering team, you will be tasked with lowering ...
Quick apply
Burlingame, CA · On-site
$110K - $270K/yr
... a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and ... Role As a senior member of our platform software engineering team, you will be tasked with lowering ...
Austin, TX · Hybrid
$96K - $132K/yr
As a Software Engineer II: AI Compiler Engineer you will work with complex high performance SoC ... Developing a deep learning compiler stack that takes neural network descriptions (CNNs/RNNs ...
Austin, TX · Hybrid
$96K - $132K/yr
As a Software Engineer II: AI Compiler Engineer you will work with complex high performance SoC ... Developing a deep learning compiler stack that takes neural network descriptions (CNNs/RNNs ...
Your role will involve working closely with our custom-built Machine Learning accelerators ... non-internship professional software development experience - Proficiency with 1 or more ...
Your role will involve working closely with our custom-built Machine Learning accelerators ... non-internship professional software development experience - Proficiency with 1 or more ...
$25.5K - $31.2K
5% of jobs
$33.1K is the 25th percentile. Wages below this are outliers.
$31.2K - $36.9K
59% of jobs
$36.9K - $42.5K
9% of jobs
$43K is the 75th percentile. Wages above this are outliers.
$42.5K - $48.2K
17% of jobs
$48.2K - $53.9K
4% of jobs
$53.9K - $59.6K
2% of jobs
$59.6K - $65.3K
3% of jobs
$65.3K - $71K
0% of jobs
$71K - $76.6K
0% of jobs
$76.6K - $82.3K
0% of jobs
$82.3K - $88K
0% of jobs
$25.5K
$42.6K
$88K
| Aspect | Internship Machine Learning Compiler Engineer | Internship Software Engineer |
|---|---|---|
| Focus | Developing and optimizing compilers for machine learning models | Designing, coding, and testing software applications across various domains |
| Skills | Machine learning, compiler design, programming (C++, Python) | Programming, algorithms, software development |
| Work Environment | Research labs, tech companies, AI-focused teams | Tech companies, startups, software firms |
| Industry Usage | AI, machine learning, deep learning industries | Broad software development across industries |
Internship Machine Learning Compiler Engineers focus on creating and optimizing compilers for machine learning models, requiring knowledge of AI and compiler design. In contrast, Internship Software Engineers work on developing general software applications across various fields. Both roles involve programming skills but differ in their specialization and industry focus.
$117K - $160K/yr
Full-time
Re-posted 18 days ago
9.3
Based on 5 frontline employees who took The Breakroom Quiz
15th of 209 rated software companies
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".
We are looking for versatile software engineers for our XLA team. NVIDIA is at the center for the AI revolution that's transforming how people live, work, and interact with technology. Come join us to build high-performance, production-grade software that's at the core of next-generation AI systems.
What you will be doing:
In this role, develop compiler optimization algorithms for deep learning workloads. You will optimize inference and training performance for the JAX framework and the OpenXLA compiler on NVIDIA GPUs at scale. You'll collaborate with our partners in deep learning framework teams and our hardware architecture teams to accelerate the next generation of deep learning software. The scope of these efforts include:
Crafting and implementing compiler optimization techniques for deep learning network graphs.
Designing novel graph partitioning and tensor sharding techniques for distributed training and inference.
Performance tuning and analysis.
Code-generation for NVIDIA GPU backends using open-source compilers such as MLIR, LLVM and OpenAI Triton.
Designing user facing features in JAX and related libraries and other general software engineering work.
Working closely with GPU hardware engineering teams to design AI compiler software features for next-generation GPUs.
What we need to see:
Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field (or equivalent experience).
4+ 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 effort adopting clean software engineering and testing practices.
Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.
Strong foundation in architecture of CPU, GPUs or other high performance hardware accelerators. Knowledge of high-performance computing and distributed programming.
CUDA or OpenCL programming experience is desired but not required.
Experience with the following technologies is a huge plus: XLA, TVM, MLIR, LLVM, OpenAI Triton, deep learning models and algorithms, and deep learning framework design.
Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team. A history of mentoring junior engineers and interns is a bonus.
Ways to stand out from the crowd:
Experience working deep learning frameworks such as JAX, PyTorch or TensorFlow.
Extensive experience with CUDA or with GPUs in general.
Experience with open-source compilers such as XLA, LLVM, MLIR or TVM.
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.#deeplearning
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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.
Computer and electronic product manufacturing
10,000+ Employees
Santa Clara, CA, US
1993
