C++ Software Developer
Overview
- Added in 30 days
- 68
- At this company, still open
Skills named in this posting
- C++
- Python
Join Mobileye's Autonomous Vehicle group as a Software Engineer and be part of revolutionizing the way vehicles operate, from accident prevention to fully autonomous driving. As a team member, you'll contribute to levels L2+ L3, L4 and L5 autonomy, where vehicles navigate complex environments and make decisions with minimal human intervention.
What will your job look like:
• Design, develop and maintain core C++ software components that power Mobileye's next-generation autonomous driving systems.
• Own features end-to-end, from requirements and architecture through implementation, testing, deployment and ongoing support.
• Drive software architecture, scalability, reliability and code quality, leveraging engineering best practices, design reviews and continuous improvements.
• Solve complex system- level and real time challenges, optimizing performance, memory utilization and execution efficiency.
• Contribute to the development of innovative Autonomous Vehicle (AV) technologies, delivering high-impact solutions for internal and external customers.
All you need is:
• Bachelor's degree or Master's degree in Computer Science, Computer Engineering, or a similar field.
• 3+ years of experience in C++ programming .
• Strong focus on system architecture and design principle.
• A deep systems-level understanding and the ability to integrate complex components.
Nice to have:
• Experience in Python.
• Experience developing in Linux operating system.
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
Apply on the employer's site
Original posting: jobs.eu.lever.co
RISC-V ecosystem
Mobileye Vision Technologies Ltd. in the RISC-V ecosystem
RISC-V International: Strategic
Mobileye is an Israeli subsidiary of Intel corporation that develops vision-based self-driving car and advanced driver-assistance systems providing warnings for collision prevention and mitigation.
- Uses RISC-V in automotive silicon: EyeQ Ultra is described as a RISC-V processor targeting Level-4 autonomous driving
- Exhibited in the RISC-V booth at Embedded World 2023
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