Demo

Software Engineer, ML Compiler

Lensa
Austin, TX Full Time
POSTED ON 3/27/2025
AVAILABLE BEFORE 4/25/2025
Lensa is the leading career site for job seekers at every stage of their career. Our client, META, is seeking professionals in Austin, TX. Apply via Lensa today!

Summary

In this position, you would support development of a compiler tool-chain for state-of-the-art deep learning hardware components optimized for AR/VR systems. You will be part of our efforts to research, architect, design and implement a compiler and runtime stack, which compiles PyTorch models down to binaries for hardware accelerator blocks. You will be part of a team that includes compiler, machine learning algorithms and software, firmware and ASIC experts.

Required Skills

Software Engineer, ML Compiler Responsibilities:

  • Analyze and design effective compiler passes and optimizations. Research, implement, and/or enhance code generation targeting machine learning accelerators.
  • Investigate new techniques to map ML graphs to hardware implementations, model data-flows, create cost-benefit analysis and estimate silicon power and performance.
  • Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools.
  • Conduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.
  • Analyze and improve the efficiency, scalability, and stability of our toolchains.
  • Interface with other compiler-focused teams to evaluate and incorporate their innovations and vice versa.

Minimum Qualifications

Minimum Qualifications:

  • Experience in software design and programming experience in Python and/or C/C for development, debugging, testing and performance analysis.
  • Experience in AI framework development or accelerating deep learning models on hardware architectures.
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

Preferred Qualifications:

  • 1 years experience writing compilers or similar code optimization software.
  • Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, transformers, LLMs, recurrent networks, etc.
  • Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow.
  • Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, Tensorflow or Caffe.
  • Experience with machine-code generation/compiler back-ends.
  • Experience working and communicating cross functionally in a team environment.

Public Compensation

$56.25/hour to $173,000/year bonus equity benefits

Industry: Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Salary : $173,000

If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution. Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right. Surveys & Data Sets

What is the career path for a Software Engineer, ML Compiler?

Sign up to receive alerts about other jobs on the Software Engineer, ML Compiler career path by checking the boxes next to the positions that interest you.
Income Estimation: 
$97,257 - $120,701
Income Estimation: 
$123,167 - $152,295
Income Estimation: 
$97,257 - $120,701
Income Estimation: 
$123,167 - $152,295
Income Estimation: 
$123,167 - $152,295
Income Estimation: 
$146,673 - $180,130
Income Estimation: 
$146,673 - $180,130
Income Estimation: 
$176,149 - $220,529
Income Estimation: 
$77,657 - $95,021
Income Estimation: 
$97,257 - $120,701
View Core, Job Family, and Industry Job Skills and Competency Data for more than 15,000 Job Titles Skills Library

Job openings at Lensa

Lensa
Hired Organization Address Cheyenne, WY Full Time
Overview GovCIO is currently hiring for a Senior SharePoint Engineer to manage and support the customer's SharePoint sit...
Lensa
Hired Organization Address Newark, DE Full Time
Lensa is the leading career site for job seekers at every stage of their career. Our client, City National Bank, is seek...
Lensa
Hired Organization Address Dover, DE Full Time
Lensa is the leading career site for job seekers at every stage of their career. Our client, Lincoln Financial Group, is...
Lensa
Hired Organization Address Dover, DE Full Time
Lensa is the leading career site for job seekers at every stage of their career. Our client, Confluent, is seeking profe...

Not the job you're looking for? Here are some other Software Engineer, ML Compiler jobs in the Austin, TX area that may be a better fit.

SMTS GPU Compiler Performance Software Engineer

Advanced Micro Devices, Inc, Austin, TX

AI Assistant is available now!

Feel free to start your new journey!