We're a global, multi-disciplinary team that's putting the innovative power of technology to work and transforming tomorrow. 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
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.
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.
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.
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 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, will be part of a global team
willing to work in an office at queretaro as part of hybrid flex work
flexible work environment
~ extensive training opportunities through our own harman university
~ an inclusive and diverse work environment that fosters and encourages professional and personal development
we proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want.
across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today's most sought-after performers, while our digital transformation solutions serve humanity by addressing the world's ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as jbl, mark levinson, and revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other.
net' email address. We will never ask for payments, banking, credit card, personal financial information or access to your linkedin/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in one of the above email domains about a job with harman, please cease communication immediately and report the incident to us through: harmancareers@harman.harman strives to hire the best qualified candidates and is committed to building a workforce representative of the diverse marketplaces and communities of our global colleagues and customers. 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. Harman attracts, hires, and develops employees based on merit, qualifications and job-related performance.()