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Benefits & Perks
•Equity
•E Verify
•Equity
Required Skills
Embedded software engineering
Firmware development
At Meta, we're building innovative products that make it easier for people to connect with each other and enjoy immersive experiences. Our team of world-class experts is developing and shipping products at the intersection of hardware, software, and content, pushing the future of computing platforms and redefining the way people work, play, and connect. As an Embedded Software Engineer, you'll have the opportunity to design, develop, and optimize embedded firmware systems for our AR, VR, and wearable devices, working on low-level systems software and connectivity protocols. You'll collaborate with cross-functional teams to solve complex problems and drive innovation in areas such as real time audio and machine learning, helping to shape the future of technology and create new experiences for augmented reality, virtual reality, and social/family products.
Embedded Software Engineer (PhD) Responsibilities:
- Design and implement real time solutions in an audio space
- Participate in hardware bring-up, peripheral drivers and communication, power and performance management, and optimization efforts
- Bring up and test new hardware, develop and maintain peripheral drivers and communication systems, and optimize on-device power usage and runtime performance.
- Develop functionality and services that operate efficiently in constrained environments and deliver large volumes of data with low-latency and high-bandwidth
- Debug complex, system-level, multi-component issues that span multiple layers from bare metal to application
- Profile performance problems and drive optimizations
- Analyze, design, develop, and debug firmware for a wide variety of devices, including novel sensing and imaging systems, haptic devices, and audio prototypes
- Collaborate closely with cross-functional teams, platform framework teams, partner firmware teams, and algorithm and model development teams
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Currently in the process of obtaining a PhD in the field of Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Demonstrated experience working across disciplines to drive optimal solutions
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications:
- Experience in a large-scale C/C++ code base
- Experience with real-time audio systems
- Experience integrating machine learning into embedded applications
- Experience with embedded DSP, CPU, and GPU architectures
- Coding experience with peripherals such as UART, SPI, I2C, GPIO
- Experience with lab instrumentation such as oscilloscopes, logic/protocol analyzers for debugging embedded systems at HW level
- Experience working with embedded hardware platforms and exposure to concepts such as clock-level issues, interrupts, and polling
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 Whats App 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@meta.com.
$122,000/year to $181,000/year + bonus + equity + 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.
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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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