Job Family:Engineering
Job Description:General Responsibilities:We are seeking an experienced and dynamic Senior Engineer to work independently hands on developing an advanced automotive System on Chip (SoC) software platform. This SW platform will operate on a high-performance system-on-chip (SoC) to use in AD/ADAS and/or Central Compute ECU. The software platform will use hypervisor technology and support guest operating systems such as Blackberry QNX, Adaptive AUTOSAR, and various Linux distributions.
Job Responsibilities:Includes the following (other duties may be documented and assigned by local management and some duties may not apply dependent upon the requirements of the position at each specific Astemo, AM site and/or the strengths of the employee and the needs of the company):
Technology Development: Integrate and support standard automotive sensors, with a focus on AD/ADAS, such as cameras, radar, lidar, sonar, and inertia sensing. Manage the development of image processing capabilities within the platform. Implement system partitioning, hypervisors, and container engine technology to enhance platform flexibility and security.
Cross-functional Collaboration: Collaborate with cross-functional teams including hardware engineers, product engineers, and other stakeholders to ensure the software platform meets performance, safety, and regulatory standards.
Risk Management: Assess risks and uncertainties associated with software development initiatives, proactively identifying potential roadblocks and developing mitigation strategies. Ensure compliance with regulatory requirements and industry standards.
Qualifications: The Ideal candidate will:
- Strong analytical skills with the ability to translate complex data into actionable insights.
- Excellent communication and presentation skills, with the ability to influence and persuade stakeholders at all levels of the organization.
- Deep understanding of SDV Enablers, Zonal Network, high-performance central compute modules, automated driving, AI, machine learning, perception modules, connected mobility, MLOps, and OTA updates.
- Technical experience with:
- Strong experience in C/C++ development for automotive embedded systems, with the ability to develop automotive SoC software platforms.
- Software: POSIX OS, QNX, Board support packages, middleware, hypervisor, container engines, and AD/ADAS technology stacks.
- Strong expertise in AD/ADAS sensor (Cameras, Radar, Lidar...etc.) bring-up, integration, and debugging on automotive platforms.
- ADAS Features: Good understanding of Image processing, Image transfer, Video Input and Video output handling in SoC platform software development.
- SoC architecture: Any major SOC vendors like Qualcomm SA8650, Renesas RCAR, Nvidia Orin and Thor experience.
- SoC Hardware: Ethernet, USB, UFS, Display Port, PCIe, QUP (Qualcomm Universal Peripheral), UART, SPI, I2C, Inter Core Communication, Camera, CPU Kryo, ARM Cortex R-52, Hexagon Tensor Processor, Server, Accelerators, DDR, Flash ROM, MMU.
- Strong understanding of Classic and Adaptive AUTOSAR software architecture and good experience of Continuous Integration and Continuous Delivery.
- Strong Understanding of CPU/GPU architectures, data structures, OS internals, multi-threading, inter-process communications, memory management techniques.
- Nice to have NVIDIA Drive OS experience and Hypervisor virtual platforms
- V-Model, ASPICE, MISRA, ISO26262, Cybersecurity and Agile framework.
- Ability to read schematics, electrical block diagrams, and IC datasheets.
Education: Bachelor or Master's degree in in Computer Science or Electrical Engineering
Experience: 7+ years of experience with a minimum of 4 years of AD/ADAS Sensor development experience and 3+ years of experience in automotive, or other embedded system low-level domains.
Job level is determined by various factors such as organization size, responsibility, career stage, and capabilities.
Working conditions:Physical Demands: Required to sit or stand for long periods of time. The employee may occasionally lift and/or move up to 25 pounds.
Travel: Domestic and international may be required as needed. The candidate will occasionally need to travel to multiple global locations to support project development.
