Deep Learning Software Engineer (Embedded firmware and Drivers)

We are looking for a dynamic embedded firmware and driver engineer to design, develop and optimize low level embedded software for Intel's deep learning accelerators. In this role, you will work on cutting edge technologies, with a cross-geo team to design and develop top class embedded software for Intel's training/Inference accelerators.

• Design, develop and maintain low level firmware for ARM/ARC embedded micro controllers
• Design, develop and maintain Linux/Zephyr device drivers
• Deliver new features requested by CSPs
• Solve complex technical problems

Qualifications:

BTech/MTech with at least 8+ years of relevant experience in system software design and development on Linux. Candidate must have strong expertise in Software and firmware development, embedded architecture, external API interfaces, code review and maintenance (C/C++), unit and verification. Candidate must have experience in low-level programming, operating systems and hands-on system level debug.

• Strong knowledge in low level programming, system architecture, operating systems, device architecture and design.
• Solid programming skills in C, C++
• Strong Software and firmware design, development, debug skills and possess the ability to multi-task in a fast-paced environment.
• Basic knowledge about popular embedded interfaces e.g. SPI, I2C, PCIe etc
• Experience in delivering Reliability, availability and serviceability (RAS) features
• Very good analytical and problem solving skills, stakeholder management and cross-geo collaboration skills
• Excellent written and oral communication skills and be able to clearly communicate concepts to peers and stake holders