This is a great time to be in the Automotive space. Cars are undergoing a big transformation into software platforms on wheels, as they move to become Electric, Automated & Personalized. Under the hood, the electronics infrastructure is a key enabler with domain & zonal electronic architectures. Renesa is a leader in Automotive semiconductors. It is the role within the System Application Engineering team to fully understand the future trends of vehicle infrastructure, and how this maps to current and future the company's MCU products.
Become part of a dynamic team that is analysing automotive systems to engage with vehicle OEMs and direct customers at expert level to define next generation automotive systems. There is a lot of room for new ideas and innovations, and you will be supported to have a continuous focus on development, coaching and creating a supportive environment for your team. The company strongly believes that the business is rapidly transforming, and future growth will be driven by innovations. Our engineers will help to lead this transformation.
What you'll do
- Understand vehicle E/E architecture evolution and resulting impact on MCU (e.g. impact of central compute and zonalization trend)
- Understand MCU SW ecosystem and architecture and impact on MCU architecture
- Analyse Software / Hardware tradeoffs
- Drive thought leadership of innovative concepts disrupting the market
- Build and maintain technical relationships with key architects at OEMs and leading Tier Ones
- Follow latest market trends to predict changes in product
- Closely follow technology trends and predict their impact
- Closely work with Marketing on Market requirements
- Work closely with product managers, engineers, and other stakeholders to ensure that the system meets their needs.
What we require
- Bachelor of Science degree in Electrical or Computer Engineering, Mathematics, Computer Science, or similar required, Masters preferred
- Vast knowledge in relevant experience
- Strong understanding of automotive applications. We are looking for several candidates covering those segment:
- Electrification, e.g. Inverter, DC/DC, Onboard Charger, …
- Vehicle E/E architecture, e.g. central gateways, zonal ECUs, ECU up integration
- High level of experience in microcontroller/microprocessor architectures as well as network interfaces (Ethernet, CAN…)
- Good understanding of software needs for AutoSAR related applications driving the HW architecture
- Strong customer engagement & experience. Direct experience with Automotive Tier1 or OEMs preferred.
- Ability to work at the system-level, identifying optimal partitioning of solutions between hardware and software.
- Comfortable working with the ambiguity inherent in implementing new technologies
- Good written and verbal communication/presentation skills in English spanning technical contributors, business stakeholders, customers, and management. Information sharing, working as a team player and striving for clarity comes natural to you
- Willingness to travel worldwide
Skills Required
- Bachelor of Science in Electrical or Computer Engineering, Mathematics, Computer Science, or similar
- Master's degree
- Vast knowledge and relevant experience in automotive electronics and systems
- Strong understanding of automotive applications (electrification, E/E architecture, zonal ECUs, central gateways)
- High level of experience in microcontroller/microprocessor architectures
- Experience with network interfaces (Ethernet, CAN)
- Good understanding of software needs for AUTOSAR-related applications
- Strong customer engagement experience; direct experience with Automotive Tier1 or OEMs
- Ability to work at system level and define HW/SW partitioning
- Good written and verbal communication and presentation skills in English
- Willingness to travel worldwide
What We Do
HopHR is a recruitment platform that uses AI-driven technology to connect companies with top-tier data science, machine learning, and AI professionals, particularly from Latin America. Founded in 2016, the company focuses on simplifying the hiring process through a combination of human-segmented talent databases and matching algorithms, aiming to break geographic barriers and promote diversity in tech hiring for clients ranging from startups to Fortune 500 enterprises.
