Virtual Reality Software Architect

7 days ago


Sunnyvale, California, United States META Full time

Company Overview

META, a leader in the field of Virtual and Augmented Reality, is driving innovation forward with cutting-edge technology.

Salary Range

The estimated annual salary for this position is $180,000 - $250,000.

Job Description

We are seeking an experienced Machine Learning Systems Engineer to join our Reality Labs Silicon team. As a key member of our team, you will be responsible for enabling new ML use cases by working closely with compiler, firmware, and system architects.

You will assist with performance/power analysis of machine learning models and develop software tooling/methodologies for SW enablement/optimization on ML accelerators.

Additionally, you will work with FPGA engineers and firmware teams to perform early prototyping and collaborate with Post-Silicon Validation engineers to enable Silicon/form factor workload demonstrations.

Required Skills and Qualifications

To be successful in this role, you should have a Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.

With 5+ years of experience as a ML Systems Engineer (or similar role), you should have expertise in hardware-software co-design and performance modeling.

You should also have experience with machine learning models, algorithms, or accelerator architecture, as well as familiarity with mobile SoC hardware architecture and system-level performance optimization.

Benefits

This is a unique opportunity to join a dynamic team at META and contribute to shaping the future of Virtual and Augmented Reality.

Preferred Qualifications

A Master's degree in EE/CS or equivalent experience would be advantageous, as would experience building and shipping software that encompasses an end-to-end experience within a well-scoped domain.

In addition, experience with SOC bring-up and prototyping, machine learning, graphics, or computer vision accelerators, and mobile/wearable form factor devices and development environments (Android) would be beneficial.



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