Machine Learning Systems Engineer - Meta

Summary:

Reality Labs focuses on delivering Meta's vision through Virtual Reality (VR) and Augmented Reality (AR). The compute performance and power efficiency requirements of Virtual and Augmented Reality require custom silicon, software and system-level solutions. Reality Labs Silicon team is driving the state of the art forward with breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our custom silicon and software will enable AR & VR devices where our real and virtual world will mix and match throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms.We are growing our Systems Engineering team within RL Silicon AI and are seeking engineers who will work with a world-class group of researchers and engineers to implement and contribute to the development, enablement, and optimization of machine learning accelerator hardware-software verticals in state-of-the-art SoCs.

Required Skills:

Machine Learning Systems Engineer Responsibilities:

1. Work closely with compiler, firmware and system architects to enable new ML use cases.

2. Work closely with compiler and ML researchers to enhance Machine learning acceleration capabilities.

3. Assist with performance/power analysis of machine learning models.

4. Develop software tooling / methodologies for SW enablement/optimization on ML accelerators.

5. Work with FPGA engineers and firmware teams to perform early prototyping.

6. Work with Post-Silicon Validation engineers to enable Silicon / form factor workload demonstrations.

Minimum Qualifications:

Minimum Qualifications:

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

8. 5+ years of experience as a ML Systems Engineer (or similar role)

9. Experience in hardware-software co-design and performance modeling.

10. Experience with Machine learning models, algorithms or accelerator architecture.

11. Experience with at least 1 procedural programming language (C, C++, Python etc).

12. Familiarity with mobile SoC hardware architecture and system-level performance optimization.

Preferred Qualifications:

Preferred Qualifications:

13. Experience building and shipping software that encompass an end-to-end experience within a well-scoped domain.

14. Experience in SOC bring-up and prototyping.

15. Experience with Machine learning, graphics or computer vision accelerator.

16. Experience with mobile / wearable form factor devices and development environments (Android).

17. Master’s degree in EE/CS or equivalent experience.

Public Compensation:

$173,000/year to $249,000/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.