Autonomous Driving / Computer Vision· Jerusalem (main R&D) + Tel Aviv (office)·~3,000 in Israel · ~3,500 globally
Mobileye is the autonomous-driving R&D arm spun out of Intel and re-IPO'd in 2022 — ~3,000 staff, overwhelmingly Jerusalem-based with a smaller Tel Aviv office. The thing the careers page doesn't say: Mobileye's R&D being Jerusalem-only filters out Tel Aviv–anchored candidates without saying so, and the C++ requirement is real even for 'algorithm developer' roles where Python is allowed only for prototyping.
Year-round part-time role developing computer-vision and sensor-fusion algorithms. The work spans classical CV (geometry, calibration, tracking), modern deep-learning approaches, and the system-level integration that runs on Mobileye's EyeQ silicon.
Eligibility
Active bachelor's, master's, or PhD student in CS / Robotics / EE / Math / Physics. C++ is required (not optional). Computer-vision course or project experience strongly preferred.
Part-time SWE role building Mobileye's tooling, testing infrastructure, fleet-data pipelines, and embedded systems software. Less algorithm-heavy than the Algorithm Developer track but still C++-first.
Eligibility
Active CS / EE student. Strong C++; Python or shell-scripting helps. Embedded / Linux comfort is a differentiator.
Schedule
Rolling applications · 2–3 days/week · paid · Jerusalem.
Mobileye's intake is unusually academic-tilted for an Israeli hi-tech company. Hebrew U is the most-represented school given proximity, but Technion CS / EE and BGU are heavy too. Master's students with publications get fast-tracked; BSc students need a strong project portfolio (a CV-related side project, an ML paper reproduction, a 3D geometry implementation) to compete. The company's Jerusalem location is a self-selecting filter — candidates who don't want to commute or relocate to Jerusalem effectively don't apply, which keeps the candidate pool more aligned with what Mobileye actually wants. Hebrew helps daily but isn't gating; English is the engineering language given Intel-era and post-IPO global teams.
The process
Stage 1: CV screen via Lever portal. 1–2 weeks. Stage 2: technical phone screen with the hiring team — 60 minutes, mostly C++ and a CV question or two ('how would you implement Hough transform from scratch'). Stage 3: take-home or live coding (varies by team) — algorithmic with a CV twist. Stage 4: on-site loop — 4 rounds typical: algorithm whiteboard, CV-specific deep dive, system design (sensor pipeline, real-time constraints), and a culture round. PhD/MSc applicants for research-leaning roles add a presentation round on past work. Stage 5: HR + offer. Total CV → offer: 5–8 weeks (longer than typical Israeli tech) because of the multiple technical rounds.
Mobileye CV — what to include
C++ visibly used (project, course, contribution), not just listed. Mobileye's filter is C++-strict; CVs without it move to the bottom regardless of role description.
Computer-vision exposure on the CV. OpenCV experience, a classical CV course, or a small project (face detection, optical flow, lane detection — anything) differentiates more than GPA.
If you've published or contributed to research, surface it at the top. Mobileye's MSc / PhD bias is real and a paper near the top of the CV signals fit immediately.
Mention Jerusalem explicitly. 'Open to relocate to Jerusalem' or 'Currently in Jerusalem' is a recruiter shortcut — without it, recruiters have to ask and you lose 5–7 days.
Don't over-rotate to deep-learning. Mobileye does both classical CV (geometry, calibration) and DL; CVs that only show DL get tagged as one-trick and slow.
Embedded / real-time experience is a differentiator. Anything that touches deterministic timing — RTOS coursework, robotics projects, FPGA work — moves you up the stack.
Common mistakes that get you filtered
Listing only Python on the CV when applying for Algorithm Developer. Mobileye's screen is C++-first; Python-only candidates get filtered before the technical phone screen.
Generic ML / data-science portfolio instead of CV-specific work. The team wants people who can implement geometry, not just call sklearn.
Treating Mobileye like Tel Aviv tech. Recruiters notice when candidates haven't acknowledged the Jerusalem reality — it reads as either lack of research or hesitancy to commute.
Underselling academic work. BSc students who hide their senior project to seem 'industry-ready' lose; the academic angle is the company's hiring bias.
Applying to multiple Mobileye postings simultaneously without tailoring. Lever flags duplicate-application patterns and recruiters prioritize tailored CVs.
Insights that aren't on the company's careers page
Mobileye is Jerusalem-headquartered — R&D is overwhelmingly in Jerusalem with a small Tel Aviv office. This is unusual for Israeli hi-tech (most cluster in Tel Aviv); it filters out Tel Aviv-only candidates without saying so on the job posting.
The interview pipeline puts a strong emphasis on academic-research background. Master's students with published papers get fast-tracked over BSc-only candidates with similar project portfolios.
C++ is not optional. Even for 'Algorithm Developer' roles where Python is allowed for prototyping, the implementation is C++. CVs without visible C++ experience get filtered before the technical screen.
Computer-vision familiarity (OpenCV, classical CV math, deep learning for CV) is the differentiating skill. Even one good CV-related side project moves your CV materially up the stack.
Mobileye's interview process averages 5–8 weeks (longer than typical Israeli tech) due to multiple technical rounds — algorithm whiteboard + CV-specific deep dive + system design + culture. Plan timeline accordingly.
Despite the 2022 IPO, Mobileye still operates with Intel-era engineering culture: heavy C++, embedded / real-time mindset, classical CV alongside DL. Pure Tel Aviv-style web/cloud candidates often misread the role expectations.
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