Data engineer (hybrid) (Santiago de Querétaro)

As an Embedded Automotive Data Architect, you will design and lead the in‑vehicle data collection architecture that enables continuous improvement and personalization of in‑vehicle audio experiences, while ensuring a secure, privacy‑preserving approach. You will partner closely with ML Engineers, Data Engineers, and Intelligent Cockpit engineers to define and roll out an end‑to‑end architecture that supports OTA delivery of edge AI/ML model updates, fully aligned with OEM specifications, constraints, and requirements.

Responsibilities

• Bridge collaboration with Intelligent Cockpit and Central Compute (HU/CCU) development teams to expand logging, telemetry, and communication mechanisms to capture and export audio system related interaction events and user preference data to enable continuous improvement of machine learning models and next‑generation audio features.
• Identify HMI/UX interaction and communication messages in HU/CCU/Amplifier to reliably capture how users interact with audio features.
• Identify logging mechanisms and storage allocation on HU/CCU/Amplifier to store relevant audio system related interactions and user preferences.
• Define retention, compression, and resource budgeting (CPU/RAM/flash) for new messages and signals about audio features usage and user preferences.
• Architect data upload mechanisms, both on board and by cellphone gateways, under real constraints: connectivity availability, restrictions, cost/bandwidth budgets, OEM policies, intermittent coverage, and offline‑first behavior; implement batching, sampling, retry/acknowledgement for data collection retrieval.
• Advise on in‑vehicle OS integration across HU/CCU platforms (Linux, Android Automotive, QNX, and other OEM stacks) about logging frameworks, networking messaging and UDS.
• Select and advise on vehicle networking messages (CAN, Automotive Ethernet, etc.) to safely consume necessary signals and create correlation with audio system events.
• Advise on privacy mechanisms including data minimization, anonymization, retention and deletion rules for data collection and on consent‑aware data collection, retention and deletion strategies according to privacy standards and OEM practices.
• Partner with Data/ML/DSP teams to ensure the vehicle‑side data architecture cleanly connects to cloud pipelines for training, evaluation, and continuous improvement of edge experiences.
• Will be part of a general team and work in an office at Queretaro as part of a hybrid flex work environment.

Qualifications

• Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Embedded Systems, Computer Science or a closely related field.
• ~12+ years of experience in automotive embedded software or systems engineering, with architecture ownership in at least one of: Head Unit/Infotainment, Cockpit/Domain Controller, Telematics/Connectivity, or Vehicle Data/Diagnostics.
• Experience with OTA update architectures (software/component delivery), including artifact versioning, signing/integrity, staged rollout, rollback, and compatibility management.
• Working knowledge of HU/CCU operating systems (Linux, Android Automotive, QNX, or similar), including debugging/log analysis, process/service design, and performance constraints.
• Solid knowledge of automotive networking and integration constraints, and ability to collaborate with cybersecurity stakeholders.
• Experience with Android Automotive, QNX, embedded Linux distributions used in cockpit systems, or OEM‑specific stacks.
• Background in infotainment/audio feature delivery, real‑time constraints, or resource budgeting for DSP/SoC platforms.
• Exposure to cybersecurity and automotive standards contexts (e.g., understanding of privacy and security fundamentals for connected data systems: data minimization, consent, pseudonymization, encryption, secure communications).
• Advanced English communication skill.

All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.