Deep Learning Compiler Engineer
$110K - $270K/yr
... a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and ... What we expect from one another is simple and clear: Initiative, Collaboration, and Completion. We ...
$110K - $270K/yr
... a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and ... What we expect from one another is simple and clear: Initiative, Collaboration, and Completion. We ...
$110K - $270K/yr
... a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and ... What we expect from one another is simple and clear: Initiative, Collaboration, and Completion. We ...
Santa Clara, CA · On-site
$143K - $189K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ... Ways to stand out from the crowd: * Proficient in CPU and/or GPU architecture. CUDA or OpenCL ...
Santa Clara, CA · On-site
$143K - $189K/yr
NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ... Ways to stand out from the crowd: * Proficient in CPU and/or GPU architecture. CUDA or OpenCL ...
Cupertino, CA · On-site
$128K - $177K/yr
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon ... When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud ...
Cupertino, CA · On-site
$128K - $177K/yr
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon ... When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud ...
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon ... When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud ...
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon ... When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud ...
$122K - $168K/yr
... machine learning, andcloud-native computing. We are looking for specialists to join our engineering ... Analyze advances in the capabilities of CPU and GPU processing elements from Nvidia, AMD, Intel ...
$122K - $168K/yr
... machine learning, andcloud-native computing. We are looking for specialists to join our engineering ... Analyze advances in the capabilities of CPU and GPU processing elements from Nvidia, AMD, Intel ...
Mountain View, CA · On-site
$122K - $168K/yr
... machine learning, and cloud-native computing. We are looking for specialists to join our ... Analyze advances in the capabilities of CPU and GPU processing elements from Nvidia, AMD, Intel ...
Mountain View, CA · On-site
$122K - $168K/yr
... machine learning, and cloud-native computing. We are looking for specialists to join our ... Analyze advances in the capabilities of CPU and GPU processing elements from Nvidia, AMD, Intel ...
San Jose, CA · On-site
$164K/yr
This can involve anything from digging through PyTorch and machine learning models to determining how to map operations on to our underlying hardware. Responsibilities * Lead compiler engineering ...
San Jose, CA · On-site
$164K/yr
This can involve anything from digging through PyTorch and machine learning models to determining how to map operations on to our underlying hardware. Responsibilities * Lead compiler engineering ...
Santa Clara, CA · On-site
$143K - $189K/yr
Solid understanding of machine learning fundamentals and experimentation best practices. * Strong ... Reward modeling from non-differentiable signals (binary runtime/compile success, performance ...
Santa Clara, CA · On-site
$143K - $189K/yr
Solid understanding of machine learning fundamentals and experimentation best practices. * Strong ... Reward modeling from non-differentiable signals (binary runtime/compile success, performance ...
San Jose, CA · On-site
$210K - $280K/yr
This can involve anything from digging through PyTorch and machine learning models to determining how to map operations on to our underlying hardware. Responsibilities * Lead compiler engineering ...
San Jose, CA · On-site
$210K - $280K/yr
This can involve anything from digging through PyTorch and machine learning models to determining how to map operations on to our underlying hardware. Responsibilities * Lead compiler engineering ...
Santa Clara, CA · On-site
$143K - $189K/yr
Solid understanding of machine learning fundamentals and experimentation best practices. * Strong ... Reward modeling from non-differentiable signals (binary runtime/compile success, performance ...
Santa Clara, CA · On-site
$143K - $189K/yr
Solid understanding of machine learning fundamentals and experimentation best practices. * Strong ... Reward modeling from non-differentiable signals (binary runtime/compile success, performance ...
Santa Clara, CA · On-site
$143K - $189K/yr
More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... Ways to stand out from the crowd: * Proficient in CPU and/or GPU architecture. CUDA or OpenCL ...
Santa Clara, CA · On-site
$143K - $189K/yr
More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... Ways to stand out from the crowd: * Proficient in CPU and/or GPU architecture. CUDA or OpenCL ...
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 ...
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 ...
Santa Clara, CA · On-site
$143K - $189K/yr
More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... Ways to stand out from the crowd: * Proficient in CPU and/or GPU architecture. CUDA or OpenCL ...
Santa Clara, CA · On-site
$143K - $189K/yr
More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... Ways to stand out from the crowd: * Proficient in CPU and/or GPU architecture. CUDA or OpenCL ...
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 ...
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 ...
Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary ... at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to ...
Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary ... at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to ...
$152K - $201K/yr
AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip ... We are seeking a talented SW Engineering Manager with strong leadership/ mentoring skills to join ...
$152K - $201K/yr
AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip ... We are seeking a talented SW Engineering Manager with strong leadership/ mentoring skills to join ...
Cupertino, CA · On-site
$152K - $201K/yr
AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip ... We are seeking a talented SW Engineering Manager with strong leadership/ mentoring skills to join ...
Cupertino, CA · On-site
$152K - $201K/yr
AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip ... We are seeking a talented SW Engineering Manager with strong leadership/ mentoring skills to join ...
Cupertino, CA · On-site
... from resource-constrained devices to powerful clusters, and eager to directly impact how machine ... learning, common compiler optimizations, and system software engineering in the fast-paced and ...
Cupertino, CA · On-site
... from resource-constrained devices to powerful clusters, and eager to directly impact how machine ... learning, common compiler optimizations, and system software engineering in the fast-paced and ...
Santa Clara, CA · On-site +1
$127K - $173K/yr
Lead efforts to restructure, merge, or retire internal code to reduce divergence from upstream open ... Familiarity with deep learning frameworks and performance-sensitive workloads on NVIDIA GPUs With ...
Santa Clara, CA · On-site +1
$127K - $173K/yr
Lead efforts to restructure, merge, or retire internal code to reduce divergence from upstream open ... Familiarity with deep learning frameworks and performance-sensitive workloads on NVIDIA GPUs With ...
They are seeking a Staff Machine Learning Engineer to own the infrastructure for model compilations ... Hub Workbench, from PyTorch and ONNX model ingestion through graph optimization to deployable ...
They are seeking a Staff Machine Learning Engineer to own the infrastructure for model compilations ... Hub Workbench, from PyTorch and ONNX model ingestion through graph optimization to deployable ...
| Aspect | From Home Machine Learning Compiler Engineer | From Home Data Scientist |
|---|---|---|
| Required Skills | Programming (C++, Python), compiler design, ML frameworks | Statistics, data analysis, programming (Python, R), visualization |
| Work Environment | Remote, software development teams, tech companies | Remote, analytics teams, research institutions |
| Industry Usage | Tech, AI, hardware optimization | Tech, finance, healthcare, research |
While both roles often work remotely and require programming skills, the Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Data Scientist analyzes data to generate insights. They serve different functions within tech and research industries but may collaborate on AI projects.

$110K - $270K/yr
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 20 days ago
Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.
RoleAs a senior member of our platform software engineering team, you will be tasked with lowering and optimizing neural networks on the quadric EPU. You will design and implement algorithmic optimizations to extract maximum performance out of the Quadric architecture.
Requirements
Benefits
At Quadric, we value Integrity, Humility, and Happiness. What we expect from one another is simple and clear: Initiative, Collaboration, and Completion. We are a collaborative team focused on building something extraordinary in the edge computing space.Â
The base salary range for this position is $110,000 to $270,000. This range reflects the full span of levels and geographies at which Quadric hires for this role. The actual base salary offered will depend on a number of factors, including the specific level of the role, years and depth of relevant experience, technical skills and competencies, the criticality of the role to the business, internal equity, and work location. In addition to base salary, this role is eligible for equity and a discretionary annual performance bonus as applicable to the role and level.Â
Quadric also offers the generous benefits package outlined above and other programs designed to support your health and wellbeing.
Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world's first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow's technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.
Quadric is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where people from all backgrounds can do their best work. We consider all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
If this role resonates with you, we encourage you to apply even if your experience does not perfectly match every qualification. We value potential, curiosity, and a willingness to learn just as much as direct experience. Skills and growth come in many forms, and we would love to hear your story.
By submitting an application, you acknowledge that Quadric will collect and process your personal information as part of the hiring process. Please review our Privacy Policy to understand how we handle your data.
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Semiconductor and electronic component manufacturing
11 - 50 Employees
Burlingame, CA, US
2016