These questions are based on real interview experiences from candidates who interviewed at this company. You can practice answering them interactively on Dataford to better prepare for your interview.

Preparing for a technical interview at Meta requires a shift in mindset. You are not just being tested on your ability to write C code; you are being evaluated on your engineering judgment, your ability to handle scale, and your fundamental computer science knowledge.

Meta evaluates candidates based on several core criteria:

Coding & Algorithmic Fluency You must demonstrate the ability to write syntactically correct, efficient code on a whiteboard or shared editor. Unlike some embedded roles at other companies that focus strictly on register manipulation, Meta expects strong generalist computer science fundamentals. You will need to solve algorithmic problems (data structures, sorting, searching) efficiently.

Systems Knowledge & Domain Expertise Interviews will probe your understanding of how software interacts with hardware. This includes memory management, concurrency, real-time operating system (RTOS) concepts, and computer architecture. You need to show that you understand what happens "under the hood" when your code executes.

System Design For mid-to-senior roles, you will face design rounds. You will be asked to architect complex systems, potentially ranging from a specific driver implementation to a distributed system component. You are evaluated on your ability to gather requirements, define interfaces, and manage trade-offs between power, performance, and cost.

Behavioral & Cultural Alignment Meta values engineers who "Move Fast" and "Focus on Impact." You will be assessed on how you navigate ambiguity, how you collaborate with cross-functional teams (hardware, product, silicon), and how you handle conflict or failure.

The interview process for Embedded Engineers at Meta is rigorous and standardized, though it can vary slightly depending on the specific team (e.g., Reality Labs vs. Infrastructure). Generally, the process is designed to filter for strong generalist coding skills first, followed by deep domain expertise.

Candidates typically begin with a recruiter screen to discuss their background and interest. This is followed by a technical phone screen (or video call) which is heavily focused on coding. It is crucial to note that this first technical round often mirrors a standard software engineering interview—expect general algorithmic questions (LeetCode style) rather than purely embedded-specific trivia.

If you pass the screen, you will proceed to the onsite loop (virtual or in-person). This usually consists of 4–5 separate interviews: two rounds of coding, one or two rounds of system design (embedded or general), and a behavioral round. The "coding" rounds in the onsite stage may include a mix of general algorithms and low-level C manipulation (e.g., bitwise operations).

The timeline above illustrates the typical flow from application to offer. Note that the "Technical Screen" is a significant filter; many embedded engineers are surprised by the emphasis on general algorithms here. Use the time between the screen and the onsite to pivot your preparation toward system design and behavioral stories.

To succeed, you must prepare for a blend of standard software engineering topics and specialized embedded concepts.

Coding and Algorithms

This is often the biggest stumbling block for embedded specialists. Meta expects you to be proficient in standard Computer Science algorithms.

Be ready to go over:

• Data Structures: Arrays, Linked Lists, Hash Maps, Trees (Binary Search Trees, Tries), and Graphs.
• Algorithms: Sorting (Merge Sort, Quick Sort), Binary Search, Breadth-First Search (BFS), Depth-First Search (DFS), and Dynamic Programming.
• Bit Manipulation: As an embedded engineer, you must be a master of bitwise operators (&, |, ^, ~, <<, >>). Expect questions that require you to manipulate bits within an integer efficiently.

Example questions or scenarios:

• "Given a binary tree, invert it."
• "Find the number of set bits in an integer (Hamming weight)."
• "Implement a circular buffer."

Low-Level Systems & C/C++ Proficiency

These rounds test your domain knowledge. You should be comfortable writing raw C or C++ without standard library support if asked.

Be ready to go over:

• Memory Management: Stack vs. Heap, manual memory management (malloc/free), memory leaks, and buffer overflows.
• Concurrency: Race conditions, deadlocks, mutexes, semaphores, and spinlocks. You must understand how to protect shared resources in a multi-threaded or interrupt-driven environment.
• OS Concepts: Context switching, process vs. thread, interrupt handling (ISRs), and scheduling algorithms.
• Volatile & Const: Deep understanding of keywords like volatile and static is mandatory.

Example questions or scenarios:

• "Implement malloc and free from scratch."
• "Explain what happens when an interrupt is triggered."
• "How would you debug a system that hangs intermittently?"

System Design

Design interviews at Meta can be broad. You might be asked to design a specific hardware subsystem or a larger distributed system.

Be ready to go over:

• Embedded Design: Designing a sensor subsystem, a bootloader, or a firmware update mechanism (OTA).
• General Design: Occasionally, embedded engineers are asked broader design questions, such as "Design a key-value store" or "Design a distributed logging system," to test their ability to think about scale and data flow.
• Trade-offs: You must explicitly discuss power vs. performance, memory constraints, and latency requirements.

Example questions or scenarios:

• "Design the software architecture for a smart smoke detector."
• "Design a rate limiter for a high-throughput sensor stream."

As an Embedded Engineer at Meta, your daily work involves much more than just writing code. You are the bridge between the hardware and the application layer.

Firmware Design and Implementation You will design and implement software components across various layers of the system. This ranges from board support packages (BSPs) and kernel modifications to designing synchronization primitives and memory allocators. You will frequently work in C and C++, ensuring your code is performant and secure.

Hardware Bring-up and Integration A significant portion of the role involves "bring-up"—the process of powering on a new board for the first time and getting the software to talk to the hardware. You will develop drivers for peripherals (cameras, sensors, displays) and verify communication protocols. This often requires hands-on work in a lab setting, using oscilloscopes and logic analyzers to debug signal issues.

Cross-Functional Collaboration You will not work in a silo. You will collaborate closely with silicon architects to define future chip requirements, hardware designers to debug board issues, and computer vision/ML teams to optimize algorithms for constrained compute targets.

Performance and Power Optimization For wearable devices like AR glasses, battery life is critical. You will profile system performance, analyze power consumption, and drive optimizations across the entire stack. This might involve implementing aggressive sleep states or optimizing data transfer protocols to reduce radio usage.

Meta looks for candidates who combine deep technical specialization with broad engineering capability.

Must-Have Skills

• Proficiency in C/C++: You must be able to write clean, safe, and efficient code. Experience with Modern C++ (C++11/14/17) is increasingly valued, even in firmware.
• Embedded Experience: 3+ years of experience working with RTOS (FreeRTOS, Zephyr) or Embedded Linux. You should understand the constraints of running software on bare metal or lightweight kernels.
• Computer Architecture: Solid understanding of CPU architectures (ARM, RISC-V), caches, MMUs, and bus protocols (I2C, SPI, UART, PCIe).

Nice-to-Have Skills

• Connectivity Protocols: Experience with Wi-Fi, Bluetooth, USB, or networking stacks (TCP/IP) is highly desirable for IoT and wearable roles.
• Hardware Debugging: Familiarity with JTAG, logic analyzers, and reading schematics.
• Android Internals: For many Reality Labs roles, knowledge of the Android framework, HAL (Hardware Abstraction Layer), and kernel drivers is a strong differentiator.
• Specialized Domains: Experience in DSP (Digital Signal Processing), Graphics (GPU drivers), or Camera/Video pipelines (ISP, H.264).