Job Details:

Job Description: 

We are looking for a hands-on embedded firmware engineer to design, develop and optimize low level embedded firmware 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 firmware for Intel's training/Inference accelerators (https://habana.ai/).

Qualifications:

BTech/MTech with at least 5+ years of relevant experience in Firmware development with following skills. Bare metal firmware development experience Understanding of reset vectors, interrupts, exceptions etc. Strong expertise in C and assembly Very good understanding of CPU architecture (ARC, ARM etc.) Understanding of cache, cache controllers, cache associativity etc. Understanding of Bus fabrics, clocks and clocking schemes, bus latencies etc. Low level hardware programming e.g. DMA controllers, memory controllers etc. Implementation of synchronization primitives e.g. mutex, semaphore, atomic registers etc. 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 Knowledge / experience in deep learning related FW is a big plus.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (India)

Primary Location: 

India, Bangalore

Additional Locations:

Business group:

The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.