Automotive Systems and Applications Engineer

Business Unit Description

NXP’s Automotive Processing business line provides the processing power and system enablement needed to accelerate the next generation of automotive innovation, including vehicle networking, wireless connectivity, body and chassis, powertrain, safety, gateway, zone control, advanced driver assistance systems and central-compute applications. The business line includes flagship automotive processor platforms such as S32G, S32Z/E, S32N, and other next-generation real-time and applications processing devices that enable scalable vehicle architectures for software-defined vehicles (SDVs) and connected automotive platforms.

Vehicle architectures are rapidly evolving from distributed ECU-based systems to zonal, domain and central-compute architectures, where software, high-speed networking, real-time processing, security, safety and AI-driven workloads are becoming key differentiators. Edge AI is bringing a major revolution to automotive innovation by enabling intelligent and safe decision-making closer to the vehicle.

Job Summary

• This position will be a part of AP Business Line working on above mentioned products directly associating with this transformation by combining heterogeneous compute, real-time processing, networking, accelerator integration and software enablement for next-generation automotive platforms.
• Solve customer system design issues throughout all stages of the customer product development cycle (conception through production).  Provide responsive and thorough hardware and software technical support to enable successful launch and production of customer systems.
• Create and own the development of evaluation and demonstration HW and SW solutions that showcase NXP automotive devices capabilities and value proposition.
• Create and own solution development and proof-of-concept activities for automotive processor platforms, including reference boards, diagnostics software, software package enablement, and silicon bring-up.
• Contribute to NPI development, create technical documentation and training material to enable customers
• Support marketing efforts to position NXP as a thought leader in automotive applications.

Key Responsibilities

• Promote NXP design-win activities by enabling customer transition from reference designs to production applications.
• Create evaluation and demonstration hardware and software solutions to showcase the value, performance and innovation of NXP automotive processors.
• Support customer system design, debug and integration activities across the complete customer development cycle, including concept, evaluation, bring-up, validation, production readiness and post-launch support.
• Develop and demonstrate innovative embedded automotive solutions across vehicle networking, gateway, vehicle dynamics, safety, real-time processing, central-compute, zonal architecture(s) and AI-enabled edge workloads.
• Contribute to NPI activities through application readiness, reference board support, diagnostics software, software package validation, customer enablement, collateral creation and training material.
• Provide technical guidance to field applications engineers, sales engineers, marketing teams and customers on processor features, system architecture, software enablement, debug methodology and platform integration.
• Work closely with marketing, product management, product definition, test engineering, hardware development and software development teams to enable successful launch and adoption of new automotive processors.
• Provide customer input, competitive intelligence and technical feedback to internal teams to optimize processor platforms, software enablement, collateral, tools and customer experience.
• Create technical documentation, application notes, training material, demos, quick-start guidance, debug notes and customer-facing enablement collateral.

Cross-Functional Aspects

• Collaborate with customers, FAEs, sales, marketing, systems engineering, software engineering, hardware design, product definition, validation and test teams to drive customer success and product adoption.
• Act as the technical voice of the customer inside NXP, helping internal teams understand customer requirements, issue trends, product gaps, competitive positioning and solution opportunities.
• Support technical queries from field applications engineers, sales engineers and marketing teams with clear, accurate and timely responses.
• Contribute to solution roadmap discussions by aligning device capabilities, customer use cases, software readiness, demo priorities, collateral needs and market trends.

Job Qualifications

• Bachelor’s or Master’s degree(s) in Electronics Engineering, Electrical Engineering, Computer Engineering or a related discipline.
• 8-12 years of relevant experience in embedded systems, software development, automotive processors and system applications, systems engineering, HW/SW development
• Strong hands-on development experience with MCU/MPU architecture(s), Arm-based is an advantage.
• Strong hands-on experience with compilers, emulators, RTOS, bare-metal software, system initialization and embedded debug techniques.
• Strong hands-on with Operating System(s), porting BSPs, boot flows, drivers and system-level debugging. Development experience with Linux, QNX, FreeRTOS, and Hypervisors is an advantage.
• Working knowledge of HW and SW (system) debugging using debug tools like T32, logic analyzers, oscilloscopes, digital voltmeters, LabVIEW or equivalent tools.
• Working knowledge of automotive communication interfaces such as CAN, Ethernet, PCIe protocols and associated software is an advantage.
• Experience interacting directly with customers and solving complex technical issues throughout all stages of customer development cycles.
• Knowledge of AI principles, machine learning fundamentals, model optimization concepts and edge AI deployment workflows is desirable. Prior experience with edge AI accelerators, AI/ML runtime environments, model deployment on embedded targets, and performance or memory optimization for AI workloads will be an advantage.
• Must have very strong English communication skills, both written and verbal.
• Ability and desire to travel domestically and internationally as required.

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