Experienced Verification Engineer
About this role
Mobileye’s Unit Level Verification Team in Haifa is looking for an experienced verification engineer to be involved in the development of Mobileye’s future AI and deep learning HW accelerators.
This is an exciting opportunity to join a team of highly talented engineers, working on the most cutting-edge technologies to deliver Mobileye’s EyeQ future chips, aimed to power the world’s first fully Autonomous Vehicle!
\nWhat will your job look like?- Define, implement and enhance verification environments using UVM methodology.
- Write and debug tests that combine UVM methodology and SW code.
- Identify and write various types of coverage measures.
- Collaborate with designers, architects, and SW developers from Haifa and Jerusalem teams to deliver the most comprehensive verification environment.
- Integrate Industry Standard (such as AXI and OCP) and other 3rd party VIPs.
- BSc in electrical engineering, computer engineering, or computer science
- 8+ years of experience working in verification environment, tests, and test bench development (SV/UVM/C/C++)
- System Verilog writing skills, preferably in OVM/UVM
- SW embedded experience, C/C++ skills
- TestPlan defining and Coverage-Driven Verification experience
- 3rd-party IPs integration testing experience
- Waveform debugging with the latest EDA tools, root-cause bugs independently
- Skills in scripting Perl/Python - Advantage
- Knowledge in Industry Standard protocols such as AXI/OCP/APB - 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!
Company at a glance
Mobileye pioneers physical AI for intelligent systems including advanced ADAS, autonomous driving solutions, and humanoid robotics.
Mobileye’s physical AI foundation reflects decades of experience in real-world driving intelligence, applying the same engineering principles that shaped its automotive AI leadership to AI for humanoid robotics in complex physical environments.
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