Camera Software Engineering Manager

Overview In this role you own the end-to-end delivery of in-vehicle camera features, aligning IVI software with embedded firmware. You lead cross-functional teams across Android, firmware, hardware/SoC, security, V&V, quality, and manufacturing to ship reliable camera capabilities such as live streaming, image capture, and AI-powered perception. You translate product requirements into a technical roadmap spanning IVI and firmware, manage milestones, and drive releases. This is a leadership role focused on delivering robust, scalable camera solutions for Ford vehicles. You will influence architecture, validation, and manufacturing readiness while communicating progress to senior leadership. Compensation / BenefitsImmediate medical, dental, vision and prescription drug coverageFlexible family care daysPaid parental leave and new parent ramp-upVehicle discount program for employees and familyTuition assistancePaid time off for community service ResponsibilitiesOwn camera feature delivery end-to-end from concept to production release across IVI software and embedded firmwareTranslate product requirements into a cross-stack technical roadmapDefine, track, and communicate milestones, dependencies, and risks to keep releases on scheduleLead interface contracts between IVI and camera firmware and guide video streaming architectureOversee ML/vision integration, including object detection and trackingCoordinate with platform and vehicle network teams for robust communicationsDefine test strategies with V&V, QA, and systems teams and coordinate validation activitiesDrive security aspects (secure boot, TLS, provisioning) and manufacturing readiness (OTA, artifact release pipelines)Report status to product, program, and executive stakeholders Key requirements7–10 years of software engineering experience3+ years leading or managing engineering teams that delivered shipped productsFamiliarity with camera/video software, capture pipelines, ISP, streaming, codecs, latency-sensitive systemsExperience with machine-learning inference and CV workflows for camera appsEnd-to-end ownership across application and embedded/firmware layersSolid Linux fundamentals, system-level programming, driver integrationExpertise on at least one stack side (IVI: Kotlin/Java, AAOS, Jetpack Compose, JNI; Embedded: C/C++, Linux, RTOS, drivers)Experience with device-to-device vehicle communication (UDS, auto Ethernet)Proven CI/CD, automated testing, and code-quality gatesExperience working with V&V, QA, and systems teams for production softwareExcellent cross-functional communication and program management skillscross-functional leadershipexcellent communicationprogram managementIVI: Kotlin/Java, AAOS, Jetpack Compose, JNIEmbedded: C/C++, Linux, RTOS, bootloaders, device driversH.264/H.265 codecs