Engineering Manager — AI Vehicle Instrumentation Systems
Job ID: 1047894
Aree professionali: Engineering & Design
Categoria: Product Design & Engineering-Engineering
Aree professionali: Engineering & Design
Categoria: Product Design & Engineering-Engineering
Località: Auburn Hills, MI
48326, US
Data di pubblicazione: May 18, 2022
Brand: FCA Group
48326, US
Data di pubblicazione: May 18, 2022
Brand: FCA Group
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Build your brand. Tell your story. Take advantage of a rare opportunity to create something new and original.
At Stellantis, we’re breaking with the past and launching a new software organization built from the ground up. The Stellantis Software organization (SWX) was established in 2021 and brings an entirely new vision to the driving experience. Our mission is to design the most captivating experiences in Mobility, bringing “tomorrow’s” tech innovations closer to today, everyday. If you’re ready to help lead this automotive technology transformation, we want to hear from you. Visit https://careers.fcagroup.com/nextgen/ to learn more.
Stellantis was founded in 2021 as the result of a merger between Fiat Chrysler Automobiles and PSA Groupe. For more information, visit: https://www.stellantis.com/en/company/about-us
The Stellantis Artificial Intelligence Operations and Algorithms team is recruiting an Engineering Manager to lead the team developing our Raw Sensing Data Architecture & Ground Truth Instrumentation in our prototype vehicle fleet. This is a hands on role working directly to design & build vehicles to collect high resolution raw sensor data using state of the art data logging systems. With your strong foundation in fundamental engineering principles, physics, and software development, you be responsible for the design and bringup of the below subsystems:
- Lidar, Radar, and Camera Instrumentation and Data Collection
- Visualization Application Development for Raw, object, and fused sensor data, path planning, and HD Map output
- Automotive Ethernet and CAN networking and Time Synchronization
- High Accuracy GNSS/IMU Ground Truth instrumentation and post-processing
- Lidar Ground Truth Rack instrumentation
- High-Bandwidth Data Logging Architecture Design and Implementation
- Trigger-Based Data Logging for AI Application Development
As part of the Stellantis Software Organization (SWX) you will develop vehicle instrumentation that will generate the high quality datasets used to develop cutting edge AI algorithms for environmental perception and path planning. You will work closely with other engineers and scientists creating the foundation of the Stellantis 14 Brand AI portfolio.
Basic Qualifications:
- A Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or related degree field
- A minimum of 10 years of experience
- Practical Vehicle instrumentation experience
- Domain knowledge of AD & Ground truth systems integration
- Capability to Drive Suppliers to achieve successful execution
- Ability to lead strong engineering teams & develop team capability
- Experience as an individual contributor working hands-on in any of the following areas: automotive electronics integration, data collection, vehicle networking, camera/radar/lidar integration or calibration
- Hands-on prototyping and building capability, from mechanical to electrical to software
- Familiarity with the following tools: CAD, Vector Canoe, Python, C++, ROS, Wireshark, Linux command line
- Good communication skills
Preferred Qualifications:
- A Masters or PhD in Electrical Engineering, Applied Physics, Computer Science or Engineering
- Previous work experience developing ADAD vehicle instrumentation systems
- Previous experience as an engineering manager
Il nostro programma di total reward riflette il nostro impegno nell’aiutarti a raggiungere qualsiasi traguardo possibile, sia a livello personale che professionale. La nostra priorità è quella di fornire gli strumenti necessari per avere una carriera soddisfacente, uno stile di vita salutare e un futuro migliore. Essendo un’azienda globale, i nostri pacchetti per dipendenti possono variare in base al paese, alle consuetudini locali e alla specifica società presso la quale sei assunto.
