OR · On-site
$104K - $143K/yr
We are looking for versatile software engineers for our XLA team. NVIDIA is at the center for the ... In this role, develop compiler optimization algorithms for deep learning workloads. You will ...
NVIDIA's HPC Compiler team is looking to hire a Compiler Engineering Manager to join the team ... A software engineer with 10+ overall years of experience with at least 4+ years of hands-on ...
NVIDIA's HPC Compiler team is looking to hire a Compiler Engineering Manager to join the team ... A software engineer with 10+ overall years of experience with at least 4+ years of hands-on ...
NVIDIA's HPC Compiler team is looking to hire a Compiler Engineering Manager to join the team ... A software engineer with 10+ overall years of experience with at least 4+ years of hands-on ...
NVIDIA's HPC Compiler team is looking to hire a Compiler Engineering Manager to join the team ... A software engineer with 10+ overall years of experience with at least 4+ years of hands-on ...
Senior Software Engineer - Deep Learning Compiler CI Infrastructure
Hillsboro, OR · On-site
$133K - $175K/yr
... developer-assist workflows * Experience operating CI for DL/GPU software environments, including multi-GPU / multi-node workloads on Slurm, Kubernetes, or cloud platforms * Familiarity with compiler ...
Senior Software Engineer - Deep Learning Compiler CI Infrastructure
Hillsboro, OR · On-site
$133K - $175K/yr
... developer-assist workflows * Experience operating CI for DL/GPU software environments, including multi-GPU / multi-node workloads on Slurm, Kubernetes, or cloud platforms * Familiarity with compiler ...
OR · On-site
$122K - $161K/yr
NVIDIA is hiring software engineers for its Deep Learning & AI Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...
OR · On-site
NVIDIA's HPC Compiler team is looking to hire a Compiler Engineering Manager to join the team ... A software engineer with 10+ overall years of experience with at least 4+ years of hands-on ...
OR · On-site
$122K - $161K/yr
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 ...
Compiler Engineer
Hillsboro, OR · On-site
$149K - $211K/yr
Collaborate with hardware architects and software developers to define and implement optimizations for next-generation Intel hardware. * Execute comprehensive testing and validation of compiler ...
Compiler Engineer
Hillsboro, OR · On-site
$149K - $211K/yr
Collaborate with hardware architects and software developers to define and implement optimizations for next-generation Intel hardware. * Execute comprehensive testing and validation of compiler ...
OR · On-site
$122K - $161K/yr
What we need to see: * BS/MS/PhD in Computer Science or a related field (or equivalent experience), with a focus on machine learning and compiler/developer tools. * 8+ years of software engineering ...
Compiler Engineer
$149K - $211K/yr
Collaborate with hardware architects and software developers to define and implement optimizations for nextgeneration Intel hardware. * Execute comprehensive testing and validation of compiler ...
Compiler Engineer
$149K - $211K/yr
Collaborate with hardware architects and software developers to define and implement optimizations for nextgeneration Intel hardware. * Execute comprehensive testing and validation of compiler ...
OR · On-site
$122K - $161K/yr
We are looking for experienced Systems SW Compiler Engineers for an exciting role in our PTX ... Good track record of developing, driving and delivering software products. Ways to stand out from ...
OR · On-site
$122K - $161K/yr
NVIDIA is hiring software engineers for its Deep Learning & AI Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...
OR · On-site
$122K - $161K/yr
Experience with compiler technologies such as MLIR, XLA, and LLVM ... Excellent C/C++ and Python programming and software design skills, including debugging, performance ...
OR · On-site
Our Compiler team is responsible for constructing and emitting the highest performance GPU machine ... Strong background in software engineering principles with a focus on crafting robust and ...
OR · On-site
We are searching for a Senior Backend Compiler Engineer with experience in LLVM code generation for an exciting and fun role in our GPU Software organization. Our Compiler team is responsible for ...
Senior Compiler Engineer Infrastructure
OR · On-site +1
$108K - $147K/yr
We are looking for an experienced Compiler Infrastructure Engineer to join our Compute Compiler ... Strong software engineering fundamentals with an emphasis on robust, maintainable developer ...
Senior Compiler Engineer Infrastructure
OR · On-site +1
$108K - $147K/yr
We are looking for an experienced Compiler Infrastructure Engineer to join our Compute Compiler ... Strong software engineering fundamentals with an emphasis on robust, maintainable developer ...
OR · On-site
$122K - $161K/yr
We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep ... You will design and implement compiler transformations, develop MLIR-based dialects and lowering ...
OR · On-site
$104K - $143K/yr
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 ...
Compiler Engineer
$128K - $181K/yr
The Role and Impact Join Intel's Compiler Engineering team, where you will collaborate on cutting-edge technologies driving the next generation of software innovation. As a Compiler Engineer, you ...
Compiler Engineer
$128K - $181K/yr
The Role and Impact Join Intel's Compiler Engineering team, where you will collaborate on cutting-edge technologies driving the next generation of software innovation. As a Compiler Engineer, you ...
OR · On-site
Deep understanding of compiler toolchains, specifically LLVM/MLIR * Proficiency in GPU- and/or FPGA-programming NVIDIA is widely considered to be one of high technology's most desirable employers.
Temporary Compiler Software Engineer information
What is the difference between Temporary Compiler Software Engineer vs Temporary Software Developer?
| Aspect | Temporary Compiler Software Engineer | Temporary Software Developer |
|---|---|---|
| Required Credentials | Bachelor's in Computer Science or related field; knowledge of compiler design | Bachelor's in Computer Science or related field; programming skills |
| Work Environment | R&D teams, specialized in language processing | Various industries, application development |
| Employer & Industry Usage | Tech companies, compiler and language tool firms | Software firms, startups, tech companies |
| Common Search & Comparison | Often compared for technical skills and project scope | Broader role, general programming tasks |
The main difference is that a Temporary Compiler Software Engineer specializes in compiler design and language processing, requiring specific knowledge of compiler construction. In contrast, a Temporary Software Developer has a broader focus on application development across various domains. Both roles often require similar educational backgrounds but differ in technical expertise and work focus.
What are the most commonly searched types of Compiler Software Engineer jobs in Oregon? The most popular types of Compiler Software Engineer jobs in Oregon are:
$104K - $143K/yr
Full-time
Posted 16 days ago
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".
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
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