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Embedded Software Engineer

Company: Emonics, LLC
Location: Sunnyvale
Posted on: November 17, 2022

Job Description:

Job Description:

Facebook Reality Labs (FRL) 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 Facebook Agile Silicon Team (FAST) 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 an Embedded DSP Engineer who is excited about introducing groundbreaking capabilities in the fields of machine learning (Client), through mapping and optimization of complex embedded algorithms to custom DSPs and accelerators. The successful candidate will be required to code optimized kernels and libraries from high to low-level for current and future in-house machine learning accelerators in heterogeneous SoCs, as well as architecting new methodologies that assist in analyzing, profiling and optimizing memory footprint, runtime performance, and power consumption of such workloads. They will also have the opportunity to contribute in defining architectural requirements by working with multidisciplinary teams and providing detailed design specifications of such compute platforms.

Responsibilities

Code modern Client algorithms on customized processors, and accelerators in 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.

Study state of the art algorithms in the field of Client, to develop appropriate SW-HW partitioning.

Practice SW-HW co-design by working closely with HW engineers to give them feedback on programming models and custom HW accelerator improvements.

Influence Client model development and application optimizations in the context of low-power edge devices, including numerics, hardware-aware Client models, pruning etc.

Minimum Qualifications

Bachelors in electrical electronics, computer science or equivalent relevant experience.

Experience with programming SIMD, VLIW, and/or Vector processors, as well as low-level SW optimization at instruction level, loop optimization, vectorization, data organization and caching.

5+ years experience designing and implementing complex real-time systems using C/C++ for embedded processors.

Preferred Qualifications

MS in EE/CS.

Experience in development of Client related kernels and algorithms in low-power edge devices.

Experience of working with HW engineers in verification, debugging and bringup.

Theoretical knowledge in the field of CPU/DSP architecture, machine learning or computer vision or ISP architecture.

Knowledge of Client accelerators and their architectural design trade-offs.

Experience with methods for partitioning a solution across hardware and software, and other multi-disciplinary boundaries in a system solution.

Familiarity with profiling and code optimization tooling and methodology or any domain-specific compiler experience.

Familiarity with Client frameworks like Pytorch/Tensorflow and model optimization toolkits.

Keywords: Emonics, LLC, Sunnyvale , Embedded Software Engineer, Other , Sunnyvale, California

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