Member of Technical Staff (#93331)
Responsible for developing drivers for various IP blocks in embedded environments and in the
Linux kernel. Work with the silicon team to craft specifications for future chips and build
software to run on these new chips and boards. Work with an optimization team to design and
implement software/firmware solutions optimized for real-time performance, power efficiency,
or specific computational tasks, including real-time throughput enhancement and computation
offload techniques. Aiding pre-silicon design verification by developing and deploying firmware
based initialization solutions. Debug real time systems with limited visibility, working hands-on
with development boards and lab equipment. Implement firmware/software solutions involving
industry standard interfaces and protocols such as SPI, I2C, and potentially others like DDR,
PCIe, I3C based on project needs. Develop and maintain software utilizing C, C++, and Python
programming languages within a version-controlled environment. Utilize containerization
technologies (e.g., Docker) for development, testing, or deployment workflows related to
firmware interaction or simulation. Apply knowledge of machine learning or deep learning
concepts to optimize firmware behavior, performance, or related data processing tasks.
- Master’s or foreign equivalent in Electrical Engineering, Computer Engineering, or related field
- 1 year of experience in job offered or related occupation.
- 1. Developing software solutions utilizing real-time throughput optimization or computation offload
- techniques.
- 2. Developing C++ based server applications, including utilizing containerization (e.g., Docker) and
- technologies for graphics API interaction in headless environments.
- 3. Utilizing multi-threading and message queueing for asynchronous Inter-Process Communication
- (IPC).
- 4. Experience with packet serialization (using Protobuf) for client-server communication.
- 5. Implementing packet serialization (e.g., Protobuf) and video frame compression techniques for client-
- server or inter-component communication.
- 6. Optimizing Deep Learning models (e.g., CNNs) or applying machine learning techniques for
- embedded systems or specialized hardware applications.
- 7. Experience with full-stack software development principles and practices.
Worksite: 3315 Scott Blvd., Floor 4, Santa Clara, CA 95054
Applicant Instructions: Email resume to: [email protected]. Must specify job code 93331 in reply. EOE.
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