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Software Engineer, Systems ML - PyTorch Compiler, PyTorch Framework, PyTorch Performance

Meta

Software Engineer, Systems ML - PyTorch Compiler, PyTorch Framework, PyTorch Performance

Meta

Mountain View, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$147,680 - $147,680

Benefits & Perks

Top Tier compensation with equity

Annual team offsites

Wellness benefits

Parental leave program

Required Skills

TensorFlow

Python

Airflow

This role is to develop the core Py Torch 2.0 technologies, innovate and advance the state-of-the-art of ML compilers, and accelerate PT2 adoption in research and production through engagements with OSS and internal users. The Py Torch Compiler team is dedicated to making Py Torch run faster and more resource efficient without sacrificing its flexibility and ease of use. The team is the driving force behind PT2, a step function change in Py Torch's history that brought compiler technologies to the core of Py Torch. PT2 technologies have gained industry-wide recognition since their first release in 2023. The team is committed to building the PT2 compiler that withstands the test of time while striving to become the #1 ML framework compiler in the industry. Our work is open source, cutting-edge, and industry leading.

Software Engineer, Systems ML - Py Torch Compiler, Py Torch Framework, Py Torch Performance Responsibilities:

  • Improve Py Torch performance via systematic solutions that benefit the entire community.
  • Advance the Py Torch compiler technologies and maintain its long-term health.
  • Explore the intersection of the Py Torch compiler and Py Torch distributed.
  • Optimize Generative AI models across the stack (pre-training, fine-tuning, and inference)
  • Conduct cutting-edge research on ML compilers and ML distributed technologies.
  • Engage with users of Py Torch to enable new use cases of Py Torch Compiler technologies both inside and outside Meta.

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Proficient in Python or CUDA programming
  • 2+ years of research or industry experience in developing compilers, ML systems, ML accelerators, GPU performance, and similar.

Preferred Qualifications:

  • Expert knowledge of GPU or ML accelerator performance and developing kernels/libraries targeting ML HW.
  • Experience with training or serving models or end-to-end optimizations for real models
  • Experience with PT2 technologies (e.g., Torch Inductor, Torch Dynamo, Export) or distributed technologies (e.g., Py Torch distributed, communication collectives, parallelism)
  • Experience in developing ML compilers (e.g., Py Torch Compiler, Triton, MLIR, JAX, XLA) or ML frameworks (e.g., JAX, vLLM, ONNX, TensorRT).
  • Good understanding of the fast-moving Generative AI space
  • Experience in building OSS communities and extensive social media presence in the ML Sys domain.

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

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.

$70.67/hour to $208,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Contact & Location

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About Meta

Meta

Meta

Public

A social technology company that enables people to connect, find communities, and grow businesses.

10,001+

Employees

Menlo Park

Headquarters

$800B

Valuation

Reviews

3.4

26 reviews

Work Life Balance

2.3

Compensation

4.2

Culture

2.8

Career

3.1

Management

2.1

45%

Recommend to a Friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Fast-paced and challenging work environment

Cons

Frequent layoffs and job insecurity

Poor leadership and management accountability

High stress and competitive work environment

Salary Ranges

40,175 data points

Mid/L4

Mid/L4 · Data Scientist

3,113 reports

$284,667

total / year

Base

$179,458

Stock

$79,981

Bonus

$25,228

$193,897

$434,902

Interview Experience

6 interviews

Difficulty

4.2

/ 5

Duration

21-35 weeks

Offer Rate

17%

Experience

Positive 17%

Neutral 17%

Negative 66%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Coding Interviews

6

System Design Interview

7

Behavioral Interview

8

Final Loop/Hiring Manager Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Live Coding