Top Tech Jobs & Startup Jobs

Leads the technical direction and architecture of software-defined vehicle platforms. Defines embedded systems architectures spanning HPC, zonal controllers, domain ECUs, Vehicle OS, and mixed-criticality systems. Governs MBSE, functional safety, cybersecurity, ASPICE compliance, and platform engineering standards. Partners with OEM architects, leads complex proposals, develops reusable engineering IP, and builds organizational capabilities through training and mentoring.

Lead chassis electronics and software development for connected and software-defined vehicles. Define chassis control architecture, integrate ECU software, sensors, and actuators, and oversee braking, steering, suspension, and vehicle dynamics systems. Drive functional safety and cybersecurity compliance, testing, validation, performance tuning, and collaboration with OEMs, Tier-1 suppliers, and cross-functional engineering teams. Mentor engineers and shape chassis technology strategy.

Lead architecture, design, development, customization, testing, and debugging of Android Automotive infotainment applications. Integrate VHAL and HAL layers, develop vehicle features, troubleshoot software-hardware interfaces, and collaborate with UX, embedded engineering, and global stakeholders. The role requires expertise in Android Automotive OS, AOSP, Java, Kotlin, C++, automotive infotainment, cloud-connected experiences, and AI-enabled applications.

Lead the design, development, and integration of Android Automotive infotainment applications. Build full-stack solutions for media, navigation, profiles, and playback; integrate VHAL, HALs, system services, and vendor frameworks; debug application-to-HAL issues; and optimize performance. Collaborate with platform, hardware, and QA teams, mentor developers, document architectures, and apply automotive safety and cybersecurity practices.

Lead Java application development using Spring Boot, microservices, REST APIs, Hibernate/JPA, and relational databases. Responsibilities include debugging, production support, automated testing with JUnit and Mockito, version control with Git, build management using Maven or Gradle, and working within Agile/Scrum methodologies. The role is remote in Mexico and requires B2-level English proficiency.

Lead the design and development of Android Automotive infotainment applications, including media, navigation, user profiles, and distributed playback. Architect full-stack solutions, integrate with VHAL and other HALs through AIDL/HIDL, and collaborate across platform, hardware, and QA teams. Debug and optimize application, framework, and HAL layers while ensuring automotive-grade performance, safety, and security. Mentor developers, enforce engineering best practices, and produce technical documentation. The role requires deep AAOS, embedded systems, and infotainment expertise.

Develop production-ready AI and machine learning applications using cloud or on-premises pipelines. Apply generative AI, deep learning, neural networks, chatbots, image processing, and LLM fine-tuning. Collaborate with teams to translate requirements into AI solutions, optimize model performance, improve development practices, evaluate emerging technologies, and document solutions.

Lead the design and development of Android Automotive OS infotainment applications, including media, navigation, user profiles, and distributed playback. Architect full-stack solutions, integrate with VHAL and other HALs through AIDL/HIDL, and collaborate across application, framework, hardware, and QA teams. Troubleshoot and optimize automotive systems, mentor developers, establish quality and testing practices, and document technical designs. The role requires strong Java, Kotlin, and C++ skills, embedded systems experience, and familiarity with automotive safety and cybersecurity standards.

Designs, builds, and scales enterprise AI applications using classical machine learning, generative AI, RAG, and agentic architectures. Develops intelligent workflows, autonomous agents, knowledge systems, chatbots, copilots, and decision-support solutions integrated with enterprise platforms and APIs. Leads AI governance, evaluation, observability, security, and human-in-the-loop controls while advising clients on enterprise AI transformation. Requires extensive experience with Claude, OpenAI, LLMs, cloud platforms, vector databases, semantic search, and production-grade AI implementations.

Lead the design and development of Android Automotive infotainment applications, including media, navigation, user profiles, and distributed playback. Architect full-stack solutions, integrate VHAL and other HALs through AIDL/HIDL, connect with system services, and resolve issues across application, framework, and HAL layers. Collaborate with platform, hardware, and QA teams while mentoring developers, enforcing engineering standards, documenting designs, and optimizing automotive-grade performance, stability, and security.