Introduction: A Career at HARMAN Automotive
We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.
Engineer intelligent systems and data-driven solutions that enhance personalization and entertainment as part of in-cabin experience
Combine research, experimentation, and collaboration across multiple engineering disciplines
Advance analytics and machine learning capabilities that power next generation automotive solutions
About the Role
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.
You will 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 interactions events and user preference data to enable continuous improvement of machine learning models and next-generation audio features.
What You Will Do
Partner with Intelligent Cockpit and Central Compute (HU/CCU), Data Engineer and ML to design and roll out architecture for data collection and models updates.
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.
Identify and establish secure OTA workflows to update ML models considering versioning, integrity checks, rollout and rollback strategies, and compatibility rules.
Advise in-vehicle OS integration approach 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 systems events.
Advise on privacy mechanisms including data minimization, anonymization, retention and deletion rules for data collection
Advise 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.
What You Need to Be Successful
Strong structured mindset with the ability to design complex and robust systems while keeping optimal and clean architecture
Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Embedded Systems, or Computer Science (or 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 designing telemetry/logging systems under constrained compute/memory/storage, including reliability strategies (buffering, persistence, loss management).
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: CAN, Automotive Ethernet, UDS and ODB-II
and ability to collaborate with cybersecurity stakeholders.
Strong communication, collaboration and leadership skills to influence cross-functional stakeholders and standardize practices across teams.
Bonus Points if You Have
Experience with SDV and zonal vehicle architecture
Experience with Android Automotive, QNX, embedded Linux distributions used in cockpit systems, or OEM-specific stacks.
Familiarity with common automotive diagnostics patterns and tools (e.g., DTC workflows, log/trace pipelines).
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., ISO 21434) and/or process frameworks (ASPICE), even if not the owner.
Understanding of privacy and security fundamentals for connected data systems (data minimization, consent, pseudonymization, encryption, secure communications)
What Makes You Eligible
Ability to work from an office in Queretaro, 3+ days per week (hybrid)
Because the team operates globally, flexibility in working hours is required.
Successfully complete a background investigation and drug screen as a condition of employment
What We Offer
Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.)
Extensive training opportunities through our own HARMAN University
Competitive wellness benefits
Tuition reimbursement
“Be Brilliant” employee recognition and rewards program
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