The Compiler Labs unit in Qualcomm's AI Software department is looking for ML Compiler engineers to ... Mapping ML algorithms to ML accelerators is currently one of the most interesting and challenging ...
The Compiler Labs unit in Qualcomm's AI Software department is looking for ML Compiler engineers to ... Mapping ML algorithms to ML accelerators is currently one of the most interesting and challenging ...
Machine Learning Compiler Engineer
Manhattan, NY · On-site
$200.80 - $301.20/hr
Mapping ML algorithms to ML accelerators is currently one of the most interesting and challenging problems for compilers. Our compiler targets include the Qualcomm Neural Signal Processor, Adreno ...
Machine Learning Compiler Engineer
Manhattan, NY · On-site
$200.80 - $301.20/hr
Mapping ML algorithms to ML accelerators is currently one of the most interesting and challenging problems for compilers. Our compiler targets include the Qualcomm Neural Signal Processor, Adreno ...
Model Bringup Engineer / ML Compiler Engineer
Manhattan, NY · On-site
$180 - $300/hr
You own that loop: from reference weights, through the compiler, to first correct tokens. The low ... ML compilers, model porting/bringup, or high-performance kernels. * You've taken a model ...
Model Bringup Engineer / ML Compiler Engineer
Manhattan, NY · On-site
$180 - $300/hr
You own that loop: from reference weights, through the compiler, to first correct tokens. The low ... ML compilers, model porting/bringup, or high-performance kernels. * You've taken a model ...
You will tackle the hardest compiler challenges spanning ML workload analysis, graph-level optimizations, memory hierarchy management, and hardware-software co-design. This is a role for engineers ...
You will tackle the hardest compiler challenges spanning ML workload analysis, graph-level optimizations, memory hierarchy management, and hardware-software co-design. This is a role for engineers ...
AIML - Staff ML Infrastructure Engineer, ML Platform & Technology - Pre-training Infrastructure
Manhattan, NY · On-site
$180 - $240/hr
Collaborate with cross-functional engineers to solve large-scale ML training challenges * Lead ... ML compiler/runtime stacksExperience developing or optimizing accelerator kernels using Pallas ...
New
AIML - Staff ML Infrastructure Engineer, ML Platform & Technology - Pre-training Infrastructure
Manhattan, NY · On-site
$180 - $240/hr
Collaborate with cross-functional engineers to solve large-scale ML training challenges * Lead ... ML compiler/runtime stacksExperience developing or optimizing accelerator kernels using Pallas ...
New
... compiler and native integration into popular ML frameworks. Our products are being used at scale ... Our engineers collaborate across diverse teams, projects, and environments to have a firsthand ...
... compiler and native integration into popular ML frameworks. Our products are being used at scale ... Our engineers collaborate across diverse teams, projects, and environments to have a firsthand ...
... compiler and native integration into popular ML frameworks. Our products are being used at scale ... Our engineers collaborate across diverse teams, projects, and environments to have a firsthand ...
... compiler and native integration into popular ML frameworks. Our products are being used at scale ... Our engineers collaborate across diverse teams, projects, and environments to have a firsthand ...
... compiler and native integration into popular ML frameworks. Our products are being used at scale ... Our engineers collaborate across diverse teams, projects, and environments to have a firsthand ...
... compiler and native integration into popular ML frameworks. Our products are being used at scale ... Our engineers collaborate across diverse teams, projects, and environments to have a firsthand ...
... compiler and native integration into popular ML frameworks. Our products are being used at scale ... Our engineers collaborate across diverse teams, projects, and environments to have a firsthand ...
... compiler and native integration into popular ML frameworks. Our products are being used at scale ... Our engineers collaborate across diverse teams, projects, and environments to have a firsthand ...
Experience with ML compiler technologies such as MLIR, LLVM, TVM, XLA, or IREE * Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current ...
Experience with ML compiler technologies such as MLIR, LLVM, TVM, XLA, or IREE * Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current ...
Neuron is a Software that include ML compiler and native integration into popular ML frameworks ... engineers. - Work in a startup-like development environment, where you're always working on the ...
Neuron is a Software that include ML compiler and native integration into popular ML frameworks ... engineers. - Work in a startup-like development environment, where you're always working on the ...
Neuron is a Software that include ML compiler and native integration into popular ML frameworks ... engineers. - Work in a startup-like development environment, where you're always working on the ...
Neuron is a Software that include ML compiler and native integration into popular ML frameworks ... engineers. - Work in a startup-like development environment, where you're always working on the ...
Neuron is a Software that include ML compiler and native integration into popular ML frameworks ... Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments ...
Neuron is a Software that include ML compiler and native integration into popular ML frameworks ... Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments ...
... ML compiler and native integration into popular ML frameworks. Our products are being used at scale ... Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments ...
... ML compiler and native integration into popular ML frameworks. Our products are being used at scale ... Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments ...
... ML compiler and native integration into popular ML frameworks. Our products are being used at scale ... Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments ...
... ML compiler and native integration into popular ML frameworks. Our products are being used at scale ... Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments ...
Software Engineer, Systems ML - Compilers / Backend
New York, NY · On-site
$154K/yr
Analyze and design effective compiler passes and optimizations. Implement and/or enhance code generation targeting machine learning accelerators * Work with algorithm research teams to map ML graphs ...
Software Engineer, Systems ML - Compilers / Backend
New York, NY · On-site
$154K/yr
Analyze and design effective compiler passes and optimizations. Implement and/or enhance code generation targeting machine learning accelerators * Work with algorithm research teams to map ML graphs ...
Neuron is a Software that include ML compiler and native integration into popular ML frameworks ... Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments ...
Neuron is a Software that include ML compiler and native integration into popular ML frameworks ... Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments ...
Experience with state-of-the-art ML compilers and their internals, experience writing compiler ... As a software engineer, you will work on a specific project critical to Google's needs with ...
Experience with state-of-the-art ML compilers and their internals, experience writing compiler ... As a software engineer, you will work on a specific project critical to Google's needs with ...
... engineers Our team covers multiple disciplines including silicon engineering, hardware design ... Neuron is a Software that include ML compiler and native integration into popular ML frameworks.
... engineers Our team covers multiple disciplines including silicon engineering, hardware design ... Neuron is a Software that include ML compiler and native integration into popular ML frameworks.
Software Development Engineer, Generative AI, Annapurna Labs - Neuroboros Team
New York, NY · On-site
Our team covers multiple disciplines including silicon engineering, hardware design, software and ... ML compiler tuning, distributed inference and training, or ML kernel authoring and optimization ...
Software Development Engineer, Generative AI, Annapurna Labs - Neuroboros Team
New York, NY · On-site
Our team covers multiple disciplines including silicon engineering, hardware design, software and ... ML compiler tuning, distributed inference and training, or ML kernel authoring and optimization ...
Ml Compiler Engineer information
What does an ML Compiler Engineer do?
An ML Compiler Engineer designs and develops compilers and software tools that optimize machine learning models for deployment on various hardware platforms. Their work involves translating high-level ML code into optimized, low-level instructions that can run efficiently on CPUs, GPUs, or specialized accelerators. They collaborate closely with hardware engineers and ML researchers to ensure models execute quickly and accurately. Additionally, ML Compiler Engineers may work on improving performance, reducing memory usage, and supporting new ML frameworks or hardware.
What are some typical collaboration points between an ML Compiler Engineer and other teams during a project?
ML Compiler Engineers frequently collaborate with machine learning researchers to understand model requirements, with hardware engineers to optimize for specific accelerators, and with software developers to ensure seamless integration into production systems. This role often involves participating in cross-functional meetings, code reviews, and design discussions to align compiler optimizations with both hardware capabilities and end-user needs. Effective communication and teamwork are essential, as these engineers play a central role in bridging the gap between algorithm design and efficient execution on target platforms.
What are the key skills and qualifications needed to thrive as an ML Compiler Engineer, and why are they important?
To thrive as an ML Compiler Engineer, you need a strong background in computer science, compiler design, machine learning concepts, and typically a degree in computer science or a related field. Familiarity with tools like LLVM, MLIR, TensorFlow XLA, and programming in C++ and Python is often required, along with experience in optimizing machine learning workloads. Strong problem-solving abilities, attention to detail, and effective collaboration skills help set top professionals apart. These skills ensure efficient translation and optimization of ML models for diverse hardware, enhancing performance and scalability.
What is the difference between Ml Compiler Engineer vs Machine Learning Engineer?
| Aspect | Ml Compiler Engineer | Machine Learning Engineer |
|---|---|---|
| Required Skills | Programming, compiler design, optimization, ML frameworks | Data analysis, model development, programming, ML frameworks |
| Work Environment | Research labs, tech companies, AI hardware firms | Tech companies, startups, data-driven organizations |
| Certifications | Computer science, software engineering, specialized compiler courses | Machine learning, data science, AI certifications |
| Industry Usage | AI hardware, software optimization, ML infrastructure | Model development, deployment, data analysis |
While both roles involve machine learning, Ml Compiler Engineers focus on optimizing ML models through compiler design and software performance, whereas Machine Learning Engineers develop and deploy ML models for applications. The roles often overlap in skills but differ in their primary focus areas.
What are popular job titles related to Ml Compiler Engineer jobs in New York?
For Ml Compiler Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Ml Compiler Engineer jobs in New York look for?
The top searched job categories for Ml Compiler Engineer jobs in New York are:
What cities in New York are hiring for Ml Compiler Engineer jobs?
Cities in New York with the most Ml Compiler Engineer job openings:
Qualcomm rating
8.8
Based on 11 frontline employees who took The Breakroom Quiz
48th of 247 rated software companies
Job description
Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
If you're interested in advancing and applying mathematics, programming languages theory, advanced algorithms, and generative AI to program optimization for cutting-edge machine learning accelerators, then you really want to be talking to us!
The Compiler Labs unit in Qualcomm's AI Software department is looking for ML Compiler engineers to join our team. We work tactically on improving existing ML compilers and strategically on developing new and innovative ML compilers.
Mapping ML algorithms to ML accelerators is currently one of the most interesting and challenging problems in compilers. Our compiler targets include the Qualcomm Hexagon Neural Signal Processor, Adreno GPUs, low-power ML accelerators, and CPU accelerators.
What makes this work exciting right now
The complexity of modern ML architectures demands multi-tier compilers and new thinking about phase ordering. Polyhedral optimization is directly relevant to the deeply nested imperfect loop nests that characterize generative AI - and the implied execution model is pulling polyhedral techniques toward dataflow concepts and structured speculation. Communication-avoiding algorithms from high-performance computing are increasingly relevant. We are advancing compilers and intermediate representations that generalize cleanly across new innovations in ML model algorithms, so that our work compounds rather than restarts. We are working on correctness verification for programs built around quantized neural operators. And we are contributing to open-source dialect convergence in the LLVM and MLIR ecosystems - we have open-sourced our Hexagon-MLIR compiler and are actively developing it for Triton and Torch-MLIR flows.
Generative AI is part of the work
Generative AI is reshaping compiler development itself - both as a tool that accelerates how engineers build compilers, and as a capability that lives inside compilers. Domain-specific languages are a particularly strong target for AI tools in compilation, because the compression, abstraction, and structure DSLs provide give AI models the right level of representation to operate on. We expect our engineers to be fluent in incorporating generative AI into the compiler development workflow and into compilers themselves.
Our technical approach
Our approach emphasizes powerful representations for precisely and compactly modeling programs and the optimization challenges, and using advanced mathematics and algorithms for performing optimizations. We are also solid in using "old school" compiler technologies as they apply to contemporary ML challenges, and in meticulous software engineering to produce beautiful compilers. We are keen about seeing our compilers used and having large impact on Qualcomm's business.
Levels and locations
This job description spans multiple levels, from entry to experienced. Our team is a good home for compiler developers with advanced degrees, and we have solid mentoring and give substantial responsibility quickly to entry-level engineers.
We are looking for candidates to join our teams in New York City, Austin, San Diego, and Raleigh, NC. For experienced candidates, we may consider remote work arrangements.
Responsibilities
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$200,800.00 - $301,200.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
If you're interested in advancing and applying mathematics, programming languages theory, advanced algorithms, and generative AI to program optimization for cutting-edge machine learning accelerators, then you really want to be talking to us!
The Compiler Labs unit in Qualcomm's AI Software department is looking for ML Compiler engineers to join our team. We work tactically on improving existing ML compilers and strategically on developing new and innovative ML compilers.
Mapping ML algorithms to ML accelerators is currently one of the most interesting and challenging problems in compilers. Our compiler targets include the Qualcomm Hexagon Neural Signal Processor, Adreno GPUs, low-power ML accelerators, and CPU accelerators.
What makes this work exciting right now
The complexity of modern ML architectures demands multi-tier compilers and new thinking about phase ordering. Polyhedral optimization is directly relevant to the deeply nested imperfect loop nests that characterize generative AI - and the implied execution model is pulling polyhedral techniques toward dataflow concepts and structured speculation. Communication-avoiding algorithms from high-performance computing are increasingly relevant. We are advancing compilers and intermediate representations that generalize cleanly across new innovations in ML model algorithms, so that our work compounds rather than restarts. We are working on correctness verification for programs built around quantized neural operators. And we are contributing to open-source dialect convergence in the LLVM and MLIR ecosystems - we have open-sourced our Hexagon-MLIR compiler and are actively developing it for Triton and Torch-MLIR flows.
Generative AI is part of the work
Generative AI is reshaping compiler development itself - both as a tool that accelerates how engineers build compilers, and as a capability that lives inside compilers. Domain-specific languages are a particularly strong target for AI tools in compilation, because the compression, abstraction, and structure DSLs provide give AI models the right level of representation to operate on. We expect our engineers to be fluent in incorporating generative AI into the compiler development workflow and into compilers themselves.
Our technical approach
Our approach emphasizes powerful representations for precisely and compactly modeling programs and the optimization challenges, and using advanced mathematics and algorithms for performing optimizations. We are also solid in using "old school" compiler technologies as they apply to contemporary ML challenges, and in meticulous software engineering to produce beautiful compilers. We are keen about seeing our compilers used and having large impact on Qualcomm's business.
Levels and locations
This job description spans multiple levels, from entry to experienced. Our team is a good home for compiler developers with advanced degrees, and we have solid mentoring and give substantial responsibility quickly to entry-level engineers.
We are looking for candidates to join our teams in New York City, Austin, San Diego, and Raleigh, NC. For experienced candidates, we may consider remote work arrangements.
Responsibilities
- Work on a wide range of ML compilers
- Improve ML compiler optimization capabilities through benchmark analysis and profiling
- Innovate new ML compiler and optimization algorithms
- Incorporate generative AI into the compiler development workflow and into compilers themselves
- Upstream compiler algorithms to open-source compiler projects
- Author research publications and represent the company in conferences and industry forums
- For senior levels - lead and manage projects while doing substantial technical work
- Experience with compiler development and computer architecture
- ML experience
- A degree in the field of computer science or applied mathematics
- Experience with software engineering
- Solid intellectual ability, motivation, and a strong history of achievement
- Excellent oral and written communication skills
- Experience with MLIR, MLIR dialects (LinAlg, Affine), PyTorch 2.0, TVM, Triton, and/or LLVM
- Experience incorporating generative AI into compiler development workflow (AI-assisted code generation, AI-assisted analysis, AI-assisted refactoring and review)
- Experience designing or extending DSLs as targets for AI-driven program synthesis
- ML applications and ML optimization experience
- ML architecture experience
- High-performance computing experience, including communication-avoiding algorithms
- Polyhedral compiler optimization experience
- Loop transformation and vectorization experience
- GPU programming, parallel programming experience
- General optimization experience
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$200,800.00 - $301,200.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
About Qualcomm
Sourced by ZipRecruiter
Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
Industry
Technology, communication and media
Company size
10,000+ Employees
Headquarters location
San Diego, CA, US
Year founded
1985