Our team, within Reality Labs at Meta, brings novel experiences to life on Meta’s AR devices, e.g. Orion. We were closely involved in the development of multimodal Meta AI on Orion, and we are currently working on the next gen AR glasses.We are looking for upcoming engineers with great interest in embedded software development and hardware acceleration to enable on-device contextual AI within the performance, power and form-factor constraints of AR glasses.Within the vast domain of contextual AI, we are currently focussing on three key areas: computer vision, audio interaction, and large language models. As an ASIC engineer intern, you will help us advance the SOTA in one or more of these areas.Our internships are twelve (12) to sixteen (16) weeks long.” at the bottom of the description above the responsibilities section
Asic Engineer Intern, On-Device Contextual AI on Orion and Next Gen AR Glasses Responsibilities:
- Build and characterize experimental HW+SW systems on AR devices and device prototypes
- Develop embedded firmware and software in RTOS and mobile operating systems, e.g. AOSP
- Collaborate with other researchers and engineers across various disciplines
- Communicate research agenda, progress, and results
Minimum Qualifications:
- Currently has, or is in the process of obtaining a Bachelor’s degree in Computer Science, Electrical Engineering, or a related field
- Programming and simulation experience with languages such as C/C++ and Python
- Experience with computer architecture and HW/SW co-design and co-optimization
- Must obtain work authorization in the country of employment at the time of hire, and maintain on-going work authorization during employment
Preferred Qualifications:
- Currently has, or is in the process of obtaining a Masters or PhD degree in Computer Science, Electrical Engineering, or a related field
- Experience in HW+SW system prototyping using embedded device prototypes and FPGAs
- Experience in operating systems, drivers, and embedded firmware development
- Experience working in a machine learning framework, e.g. PyTorch
- Experience working and communicating cross functionally in a team environment
- Demonstrated experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
- Intent to return to degree-program after the completion of the internship/co-op
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 WhatsApp 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.
$6,660/month to $11,067/month + 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.
