|JOB POSITION||QUALIFICATION||SKILL & EXPERIENCE||LOCATION||DATE|
|Machine Learning Solutions Architect||ME/M.Tech CS/EEE/IT||i.Understanding of AI algorithms, Machine learning Software, Automation of AI platforms.
ii.Experience level : 12 to 15 years in Automotive domain with most recent experience of 3 to 5 years in Machine learning architecture
iii.Experience in Autonomous driving technology is a BIG PLUS
|Platform Architect||B.Tech/M.Tech CS/EEE/IT||i.Experience in Automotive Domain including – designing for reliability, safety and security.
ii. Experience in ARM Architecture, DSP Architecture and Multi-processor SoC Design.
iii.In-depth experience in one or more of the following – Ethernet AVB, Powerline Communication, MIPI Camera subsystem, resilient micro packet based fabric design, Radar, LIDAR.
iv. Strong understanding of HW-SW Partitioning, and trade-off analysis
v. Experience level : 8+ years of professional experience working in Platform and SoC Architecture, Product Definition, and System Design
|System Software Architect||B.Tech/M.Tech CS/EEE/IT||i. Experience in Automotive Domain including – Module Development, AUTOSAR compliance, Safety compliance (ASIL).
ii.Experience in ARM Architecture, DSP Architecture and Boot code development
iii. Experience in Networking Protocols and Stacks like CAN, LIN, MCAL and BSW
iv. Experience level : 5+ years of professional experience working in RTOS (FreeRTOS, Embedded Linux) and Close to Metal environment
|Sr SoC Verification Engineer||B.Tech/M.Tech EEE||i.4+ years verification experience
ii.2+ years of experience with OVM/UVM based constrained random verification
iii.2+ years of hands-on experience with ARM based SOC design/verification
iv.2+ years of experience with AXI/AHB
v.3+ Years of working experience on Automotive SOCs
vi.5-10 years of experience in ASIC Design and verification
|Deep Reinforcement learning System Architect||ME/M.Tech CS/EEE/IT||i.Shipped one or more machine learning based products. Experience with data gathering, data quality, system architecture, coding best practices
ii.Experience level : 12 to 15 years in Automotive domain with most recent experience of 3 to 5 years in Deep learning architecture