ADAS AI Application Developer

1 day ago

bangalore, India Renesas Electronics Full time

Job profile – ADAS application engineer for hardware accelerators
You will develop proof-of-concept software for vision and radar applications in automotive applications on the Renesas R-CAR Vx SOC exploiting computer vision and radar features using DSP and Renesas-specific IPs for DOF/computer vision. You will discuss requirements for the next-generation ADAS products that comprise tools, software and hardware. You will utilize existing code libraries as the base for computer vision applications. You will further grow the scope of those libraries for use in generic ADAS application contexts. You will work closely with application engineering teams in Europe, Japan and US.

Your main responsibilities are:
Bring up computer vision and radar applications on R-CAR Vx hardware platforms and with model/simulator
Pre-developing computer vision and radar features in collaboration with multiple teams, debug and fix related bugs
Prototyping computer vision and radar processing features for future products and design
Understand and define KPI and do performance evaluations
Discuss requirements for future ADAS products i.e., tools, software and hardware with the respective system architecture and hardware/software development teams
Document proof-of-concept code and benchmark results and provide meaningful application notes
Support Renesas’ automotive customers with Renesas R-CAR computer vision and radar applications and debug reported issues as well as providing proof-of-concept code

Relevant Experiences (Combination of good-to-have and must-have):
6-14 years of Relevant embedded programming and debugging skills with C/C++ in an embedded system like R-CAR SOC
Experience with software design with Linux OS (software design with QNX is a plus)
Proven track record in software development
Ability to work with simulator and hardware environment as well as flashing of a device
Proven track record for application bring up and debugging with embedded system
Proven experience with automotive computer vision and radar applications
Experience working with ARM architectures
An academic degree in Computer Science, Electronics or similar
Work independently in an international team with several stakeholders
Team player having good communication skills and very good English in speech and writing

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