Solution Architect for Cloud Communication
TLDR
Translate customer needs into system architectures and requirements, coordinating projects and applying ASPICE standards.
Join Mobileye, a leader in autonomous driving technology, and shape the future of transportation.
As a Solution Architect, you'll be at the forefront of innovation, driving cutting-edge features from concept to commercialization.
What will your job look like:
All you need is:
- Technical Expertise: Bachelor's degree in Computer Science or a related field, coupled with 5-10 years of experience in technical product management, system engineering, or solution architecture.
- Cloud Architecture: Deep understanding of high-scale communication protocols, including MQTT, WebSockets, and RESTful API design.
- Systems Engineering Proficiency: Familiarity with systems engineering and requirement management processes and methodologies.
- Leadership Skills: Ability to lead cross-functional teams, influence stakeholders, and engage effectively with senior leadership.
- Communication Prowess: Excellent communication and interpersonal skills, enabling you to interact confidently with customers, colleagues, and partners.
- Customer Focus: Proven experience in customer-facing roles, with a focus on understanding customer needs and expectations.
- Drive and Initiative: Accountability, independence, and a highly motivated approach to work, capable of delivering results even under pressure.
- Flexibility: Willingness to travel as needed to support customer engagements.
- Automotive & Embedded Context: Experience in the automotive industry or experience bridging embedded systems/Linux environments with cloud backends - Advantage.
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!
Mobileye is a technology company at the forefront of the mobility revolution, developing advanced autonomous-driving and driver-assist systems. Our cutting-edge expertise in computer vision and machine learning not only powers self-driving vehicles but also enhances mobility infrastructure through sophisticated data analysis. With innovations like REM crowdsourced mapping and Responsibility-Sensitive Safety (RSS), we are shaping the future of intelligent transport.
- Founded
- Founded 1999
- Employees
- 500+ employees
- Industry
- automotive
- Funding stage
- Public
- Stock ticker
- Publicly traded (MBLY)
- Total raised
- $3B raised