Senior Computer Vision Data Engineer

About the role

Join Mobileye's AI Engineering group to shape the intelligence layer of a unified autonomous‑vehicle dataset. You will work in a small, independent team that builds end‑to‑end data pipelines, turning massive multi‑camera video, object labels, HD maps and sensor data into high‑quality training sets at scale.

Key responsibilities

• Design, build and improve the curation pipeline, from vision‑model embeddings and scene detection to VLM‑based analysis, scoring, deduplication and balanced sampling.
• Run and optimise GPU inference (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
• Develop scoring and sampling strategies to ensure rare scenarios (night driving, adverse weather, hazardous situations) are well‑represented.
• Collaborate with algorithm teams to identify data gaps and translate them into curation criteria.
• Create validation and diagnostic tools that measure dataset quality for training, not just pipeline health.
• Contribute to the core dataset SDK, converters and 3D‑geometry tooling (camera projection, calibration, coordinate transforms).

Required profile

• 4+ years of data engineering or backend/software engineering experience with production‑grade pipelines.
• Strong Python skills and familiarity with the PyData stack (NumPy, PyArrow, Pandas, DuckDB).
• Background in research, algorithms or machine learning sufficient to read papers and discuss model outputs.
• Comfort working with vision‑model outputs such as embeddings, detection results and VLM responses.
• Ability to work across algorithm, infrastructure and data teams.

Required skills

• Python
• NumPy
• PyArrow
• Pandas
• DuckDB
• GPU inference at scale
• Workflow orchestration tools (Argo, Airflow, Kubeflow)
• Embeddings and detection result handling
• VLM (visual‑language model) inference
• 3D geometry, camera projection, calibration, coordinate transforms
• Vector database concepts (e.g., LanceDB)