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Embedded Software Engineer Intern
MetaBurlingame, United StatesinternshipVerifiedPosted 17 Dec 2024
About the role
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.Embedded Software Engineer Intern Responsibilities
$error/year to $error/year + benefits
We apologize for the inconvenience, please be patient as we work to correct the issue.
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.
Equal Employment Opportunity and Affirmative Action 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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
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.Embedded Software Engineer Intern Responsibilities
- Contribute to the development of machine learning libraries, intermediate representations, export formats, and analysis tools
- Profile models to analyze performance and power efficiency of deep learning inference workloads
- Implement ML operators using low-level instructions & compiler intrinsics
- Design and implement embedded systems to facilitate control on data collection pipelines
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Experience using C/C++ for software development
- Hands-on experience in using version control systems (Git, Mercurial)
- Experience communicating with fellow engineers to understand project scope
- Experience in approaching engineering problems systematically and independently
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
- Master's or PhD degree in fields related to Computer Science and Engineering
- Hands-on experience on development for embedded systems, e.g. on Cortex M-series controllers or DSPs
- Experience developing AI-System infrastructure or AI algorithms in C/C++
$error/year to $error/year + benefits
We apologize for the inconvenience, please be patient as we work to correct the issue.
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.
Equal Employment Opportunity and Affirmative Action 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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
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