Embedded Software Engineer

Über

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.
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

$117,000/year to $173,000/year + bonus + equity + benefits

Burlingame, California, United States

Sprachkenntnisse

English

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