Mobileye
Mobileye

Experienced Technical Project Manager

TLDR

Lead multi-disciplinary Imaging Radar projects across VLSI, RF, system, hardware, algorithms, software and validation teams.

Mobileye's Radar group develops innovative high-performance Imaging Radar solutions for ADAS and Autonomous Driving markets.

We are seeking an experienced and independent Technical Program Manager, who will lead a multi-disciplinary cutting-edge projects. The scope of work requires deep technical understanding, detailed planning and tracking of concurrent development activities and effective collaboration with several development teams, different stakeholders and management.

What will your job look like:

  • Plan, manage and lead the project through all development phases
  • Collaborate with cross-functional development teams such as VLSI, RF, System, HW, Algorithms, SW and Validation
  • Identify possible technical or execution problems and risks and drive for solutions
  • Ensure that product is delivered on time, meeting KPIs and within budget
  • Report program development progress to senior managers
  • All you need is:

  • Bachelor's degree in Electrical Engineering or Computer Science
  • 5+ years experience as a technical program manager
  • 7+ years experience with System design, architecture or verification
  • Outstanding leadership, management and collaboration skills
  • Excellent communication skills and ability to articulate complex program or technical situations to a variety of audience
  • Excellent problem-solving and analytical skills
  • Experience with VLSI, RF, HW or SW – advantage
  • Fluent English and Hebrew
  • 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
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