DSP Architect (CV and Imaging)

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DSP Architect (CV and Imaging)
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Reality Labs (RL) focuses on connecting people through Virtual Reality (VR) and Augmented Reality (AR). The compute performance and power efficiency requirements of these products require custom silicon. The Silicon team is driving the state of the art forward with breakthroughs in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, to firmware, and algorithms. We are seeking a DSP Architect who is excited about introducing groundbreaking capabilities in the fields of computer vision (CV), machine learning (ML), and imaging (ISP), through HW/SW partitioning and co-design of complex imaging and embedded algorithms into PPA optimized DSP + HW accelerators. They also subsequently engage in mapping and optimization of these workloads to the custom design programmable accelerators. The successful candidate will be required to contribute in defining architectural requirements by working with multidisciplinary teams and providing detailed design specifications of such compute platforms. They also code optimized kernels and libraries from high to low-level for current and future in-house heterogeneous compute and vision platforms, as well as architecting new methodologies that assist in analyzing, profiling and optimizing memory footprint, runtime performance, and power consumption of such workloads.
DSP Architect (CV and Imaging) Responsibilities
  • Study state-of-the-art algorithms in the field of CV, ML and Imaging, and subsequently architect appropriate SW-HW partitioning, for optimum trade-off in terms of power, performance and silicon area.
  • Influence algorithm and application optimizations in the context of low-power edge devices, including memory footprint vs compute trade-offs, accuracy KPI vs power/latency.
  • Develop accelerator specs, assist in micro-architectural specification, and collaborate with RTL and implementation teams.
  • Code CV, ML, imaging algorithms on customized processors, and accelerators in C and/or C++ for performance, latency, power, and memory. Perform low-level SW optimization at instruction level by loop optimization, vectorization, pipelining, data layout re-organization and cache/memory management.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • 5+ years experience in CPU/DSP architecture, ISAs such as ARM, Tensilica, RISC-V, x86.
  • Experience with low-level SW optimization at instruction level, loop optimization, vectorization, data organization and caching. Programming SIMD, VLIW, and/or Vector processors.
  • Knowledge of ML, CNN accelerators and their architectural design trade-offs.
Preferred Qualifications
  • MS or PhD in Electrical Engineering or Computer Science.
  • Familiarity with methods for partitioning a solution across hardware and software, and other multi-disciplinary boundaries in a system solution.
  • Theoretical knowledge in the field of computer vision, machine learning, and image processing, or ISP sensors.
  • Familiarity with ML frameworks like PyTorch/TensorFlow and model optimization toolkits.
  • Experience with domain specific languages and compilers such as halide, TVM and GLOW.
Locations
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.
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(Colorado only*) Estimated salary of $213,000/year + bonus + equity + benefits
*Note: Disclosure as required by sb19-085(8-5-20)
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