Staff Engineer

2 Months ago • 2-4 Years

Software Development & Engineering

Job Description

This role is for ML Compiler engineers interested in advancing mathematics, programming languages theory, and advanced algorithms for program optimization on cutting-edge machine learning accelerators. The team works on improving existing and developing new ML compilers, emphasizing powerful representations and advanced algorithms. The role involves using traditional compiler technologies for contemporary ML challenges and meticulous software engineering. Compiler targets include Qualcomm Neural Signal Processor, Adreno GPUs, low-power ML accelerators, and CPU accelerators. The position spans multiple levels, offering mentoring and responsibility for entry-level engineers.

Good To Have:

Experience with MLIR, MLIR Dialects (LinAlg, Affine), Pytorch 2.0, TVM, Triton, and/or LLVM
SYCL experience
ML applications and ML optimization experience
ML architecture experience
High performance computing experience
Polyhedral compiler optimization experience
Loop transformation and vectorization experience
GPU programming, parallel programming experience
General optimization experience
8+ years of relevant work experience

Must Have:

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
Upstream compiler algorithms to open-source compiler projects
Author research publications and represent the company in conferences and industry forums

Perks:

World-class health benefit options providing world-class coverage to employees and their eligible dependents.
Programs designed to help employees build and prepare for a financially secure future.
Self and family resources to build emotional/mental strength and resilience, and define purpose.
Wellbeing programs and resources offering support to help employees Live+Well and Work+Well.

Add these skills to join the top 1% applicants for this job

communication

cpp

game-texts

pytorch

python

algorithms

java

machine-learning

Job Posting Date

2025-07-24

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

If you’re interested in advancing and applying mathematics, programming languages theory, and advanced algorithms to program optimization for cutting-edge machine learning accelerators, then you really want to be talking to us!

We are looking to hire ML Compiler engineers to join our team. We work tactically on improving existing ML compilers and strategically on developing new and innovative ML compilers.

Our technical approach to compilers 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 also keen about seeing our compilers used and having large impacts on Qualcomm’s business.

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 GPUs, low-power ML accelerators, and CPU accelerators.

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 for entry level engineers.

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

Upstream compiler algorithms to open-source compiler projects

Author research publications and represent the company in conferences and industry forums

Required

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

Desired

Experience with MLIR, MLIR Dialects (LinAlg, Affine), Pytorch 2.0, TVM, Triton, and/or LLVM

SYCL experience

ML applications and ML optimization experience

ML architecture experience

High performance computing experience

Polyhedral compiler optimization experience

Loop transformation and vectorization experience

GPU programming, parallel programming experience

General optimization experience

8+ years of relevant work experience

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.

• Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.

• PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Applicants: 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).

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.

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If you would like more information about this role, please contact Qualcomm Careers.

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