Qualcomm Machine Learning DSP/Firmware engineer - ADAS in Bangalore, India
Job Id E1962977
Job Title Machine Learning DSP/Firmware engineer - ADAS
Post Date 02/27/2018
Company-Division Qualcomm Technologies, Inc.
CDMA Technology at http://www.qualcomm.com/about/businesses/qct
Job Area Engineering - Software
Location India - Bangalore
Job Overview Qualcomm is building on its core strengths in wireless and compute technologies, and is in the middle of the biggest technology revolution in the Automotive space. While we have pioneered connected car technologies for over a decade, we are now playing a critical role in the evolution of Automotive Infotainment, Telematics, ADAS/Autonomous Driving & its supporting technologies. We are investing in several bleeding edge technologies such 5G, Cellular V2X, Computer Vision, AI/Deep Learning etc., and are working closely with global Automakers/Tier-1s, standards bodies, consortiums and operators on pushing the boundaries. We are inviting smart, energetic and passionate software engineers who are looking to make a difference on the many technology forefronts in Automotive, to join our growing multisite engineering organization.
We are looking for software/firmware engineers to join the team that designs, develops and commercialized algorithms, software frameworks, tools for Autonomous and ADAS systems that exercises the full capability of the Qualcomm Snapdragon Automotive platform.
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
Minimum Qualifications 5-10 years experience in the embedded domain to design, develop and support software solutions
Strong background in digital signal processing (DSP)
Strong C and assembly programming skills
Experience in DSP based algorithm/framework development, porting and optimizations
Experience with development on a RTOS
Experience in optimizing solutions for power/performance
System debugging skills
Experience with working on heterogeneous compute platforms consisting of ARMs, GPUs, DSPs, and specialized hardware accelerators in an embedded SoC
Preferred Qualifications Motivated self-starter with excellent verbal and written communication skills, demonstrated ability to work with engineers/partners/customers across different geographies.
Experience working with one or more of the following: Machine learning algorithms and solutions, Image processing, computer vision, other signal processing algorithms
Solid software engineering skills with a track record of designing and developing scalable and re-usable software components.
Education Requirements Required: Bachelor's degree in Computer Engineering/Computer Science/Electrical Engineering or equivalent
Preferred: Master's degree in Computer Engineering/Computer Science/Electrical Engineering
EEO employer: including race, gender, gender identity, sexual orientation, disability & veterans status.