Embedded Platform Architecture Engineer

Inceptio Technology’s vision is to create a nationwide network of autonomous trucking service. We build close relationships with freight, logistics and automotive partners to transform the line-haul transportation industry. Our goal is to provide safe and efficient logistical assets at an optimized cost. Established in April 2018, Inceptio Technology has brought together a world class team to develop Level 3 and Level 4 autonomous technology.

Inceptio Technology was co-founded by G7, China’s leading IoT company, Global Logistic Properties Ltd (GLP) and NIO CAPITAL.

You will take responsibilities for developing automotive software and low-level embedded system software for an autonomous vehicle (AV) including small footprint, real-time operating system and its software stack, automotive grade middleware, and device drivers in a complex computing platform.

• Define embedded software architecture and software stack for multiple MCUs and SoCs in a state-of-the-art autonomous vehicle (AV) computing platform
• Engage in new hardware evaluation, system benchmarking, and software tools evaluation to support system architectural design
• Develop MCU firmware for system hardware validation and automotive production software
• Optimize platform software for performance, safety, security, reliability, and cost reduction
• Triage and resolve system, hardware, and software challenging issues together with other engineering teams

• BS/MS in Electrical Engineering or Computer Engineering
• 2+ years hands-on development of embedded software of intelligent systems
• 2+ years hands-on development of firmware development and debugging, board bring-up
• Expert of C or C++, and scripting language such as Python or Bash
• Deep knowledge of RTOS, OS kernel, boot loader, device drivers, hardware boot-up process
• Deep knowledge of x86 and ARM CPU architecture, memory sub-system, network protocols
• Hands-on experiences with hardware I/Os such as Ethernet, PCIe, CAN, SPI, I2C, UART

• Hands-on software development and validation with AutoSAR or similar automotive RTOS
• Knowledge of MCU MCAL driver, safety and security software from MCU vendors
• Knowledge of PTP/TimeSync and its implementation on complex embedded systems
• Hands-on experiences with software perf tuning using SIMD engines such as SSE and Neon
• Knowledge of deep learning inference run-time workflow on embedded platforms
• Familiar with automotive functional safety design process and workflow