Software Engineer, Systems ML

**Summary:**

On-Device AI is a critical part of virtual and augmented reality systems. In this role, you will work inside Meta Reality Labs to enable and optimize a wide range of state-of-the-art deep learning models (including Vision, Speech, Codec Avatars, LLMs, Gen AI, etc.), on a variety of VR & AR devices (including VR headsets such as Meta Quest, Smartglasses like Ray-Ban Meta, EMG Wristbands, and other upcoming products). This role is focused on efficient ML inference via use of edge hardware accelerators. The position requires a combination of expertise in machine learning and software engineering.

**Required Skills:**

Software Engineer, Systems ML Responsibilities:

1. Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools.

2. Profile models to analyze performance and power efficiency of deep learning inference workloads.

3. Partner with teams across Reality Labs to ship models in production devices

4. Map ML graphs to machine learning accelerator hardware implementations, model data-flows, create cost-benefit analysis and estimate silicon power and performance.

5. Design effective compiler passes and optimizations.

6. Implement ML operators using low-level instructions & compiler intrinsics.

**Minimum Qualifications:**

Minimum Qualifications:

7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

8. Master degree in Computer Science, Computer Engineering

9. 3+ years of experience in ML framework development or accelerating deep learning models on hardware architectures

10. Experience developing AI-System infrastructure or AI algorithms in C/C++

**Preferred Qualifications:**

Preferred Qualifications:

11. PhD degree in Computer Science, Computer Engineering

12. 5+ years of experience in ML framework development or accelerating deep learning models on hardware architectures

13. Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.

14. Experience with ML frameworks, especially PyTorch.

15. Experience with ML performance optimization.

16. Experience with compiler back-ends

17. Experience with DSPs or SIMD vector programming

18. Experience with NPUs and ML accelerators

**Public Compensation:**

$177,008/year to $251,000/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.

Similar jobs

SponsoredSite Reliability Engineer- Software Tools and Build Systems Engineer - NetApp

2024-04-17, NetApp

Durham, North Carolina

SponsoredSite Reliability Engineer- Software Tools and Build Systems Engineer

2024-04-17, NetApp

Durham, North Carolina

SponsoredSite Reliability Engineer- Software Tools and Build Systems Engineer

2024-04-17, NetApp

Durham, North Carolina