汽车软件与AI解决方案销售_ETAS

Reports To Head of Customer Chief Engineer About the Role We are looking for a highly motivated Technical Sales Engineer to drive business growth for advanced automotive software, ECU development, testing, calibration, diagnostics, and AI-enabled engineering solutions. This role combines technical consulting, pre-sales engineering, customer engagement, and solution selling . The successful candidate will work closely with OEMs, Tier 1 suppliers, semiconductor companies, and software engineering teams to understand their technical challenges and promote solutions across automotive embedded software, AUTOSAR, in-vehicle networking, ECU testing, measurement & calibration, diagnostics, virtual validation, and AI-driven development workflows . The ideal candidate has strong experience in automotive software or embedded systems, hands-on knowledge of development and testing toolchains, and the ability to translate complex engineering requirements into compelling technical and commercial solutions. Key Responsibilities 1. Technical Sales & Business Development Identify, develop, and manage sales opportunities with automotive OEMs, Tier 1 suppliers, and technology partners. Act as a trusted technical advisor to customers by understanding their engineering workflows, software development, and toolchain requirements. Promote automotive engineering solutions related to: ECU software development AUTOSAR Classic and Adaptive In-vehicle networking Diagnostics Measurement and calibration SIL/HIL/MIL validation Software-defined vehicle development Support the full sales cycle from opportunity qualification, technical discovery, solution proposal, product demonstration, proof of concept, technical negotiation, and final closing. Work with account managers and sales teams to develop account strategies, revenue plans, and customer engagement roadmaps. 2. Pre-Sales Consulting & Solution Design Analyze customer requirements and recommend suitable software, engineering services, and integrated solutions. Prepare and deliver technical presentations, product demonstrations, workshops, and solution proposals. Conduct technical discussions with software engineers, system architects, validation engineers, calibration engineers, project managers, and senior technical stakeholders. Support RFQ responses, technical documentation, competitive analysis, and value proposition development. Collaborate with product management, engineering, application support, and global expert teams to define customer-specific solutions. Provide technical input for quotations, project scoping, implementation planning, and service proposals. 3. AI Solution Promotion & Customer Enablement Promote AI-enabled solutions for automotive software development, testing, diagnostics, validation, and engineering productivity improvement. Identify customer pain points where AI can improve efficiency, quality, automation, and decision-making, such as: Defect detection and root-cause analysis Requirement analysis and traceability Predictive diagnostics Simulation scenario generation AI-based validation and verification Engineering workflow automation Present AI solution concepts to technical and business stakeholders, clearly explaining benefits, limitations, implementation requirements, and ROI. Lead or support AI-related proof-of-concept projects with customers. Work with internal AI, data science, and engineering teams to translate customer requirements into feasible AI solution proposals. Help customers understand how AI can be integrated into existing automotive development toolchains and processes. Collect customer feedback and market insights to support AI product strategy and solution roadmap development. Develop AI solution sales materials, demo scenarios, technical white papers, and customer success stories. 4. Customer Relationship & Technical Account Management Build long-term relationships with key customer stakeholders across engineering, purchasing, management, and innovation teams. Maintain a strong understanding of customer projects, technical roadmaps, development processes, and purchasing cycles. Provide continuous technical support during pre-sales and post-sales phases in collaboration with application engineers and support teams. Coordinate technical workshops, training sessions, and product evaluations. Identify upselling and cross-selling opportunities across software tools, engineering services, AI solutions, and consulting offerings. Represent the company at customer meetings, industry events, exhibitions, seminars, and technical conferences. Education Bachelor’s degree or above in one of the following fields: Electrical Engineering Computer Engineering Computer Science Software Engineering Automotive Engineering Control Engineering Related technical discipline Master’s degree is preferred but not mandatory. Required Technical Experience The candidate should have hands-on knowledge or project experience in several of the following areas: Automotive embedded software development ECU development, integration, testing, or validation AUTOSAR Classic and/or AUTOSAR Adaptive CAN, CAN FD, LIN, FlexRay, Automotive Ethernet UDS, DoIP, OBD, diagnostic protocols Measurement, calibration, and data acquisition Test automation and continuous integration Embedded C/C++ software development Real-time systems or embedded Linux Functional safety and cybersecurity concepts ISO 26262, ISO/SAE 21434 knowledge is a plus PLUS, AI-Related Experience The candidate is preferred to have knowledge or practical exposure to AI-enabled engineering or software solutions, such as: AI application in automotive software development, testing, validation, diagnostics, or calibration Machine learning or data analytics for engineering data AI-assisted test automation Large language model applications in engineering workflows Automated requirement analysis or documentation generation AI-based simulation, scenario generation, or validation acceleration Data-driven calibration or optimization Experience promoting or implementing AI software solutions for enterprise customers Ability to explain AI concepts, business value, risks, and deployment requirements to technical and non-technical stakeholders Hands-on experience with Python, data analysis, machine learning frameworks, or cloud-based AI platforms is a plus. Required Sales & Customer-Facing Skills Proven experience in technical sales, pre-sales, application engineering, solution consulting, or customer-facing engineering roles. Strong ability to understand customer technical challenges and convert them into solution proposals. Excellent presentation, communication, and negotiation skills. Ability to conduct product demonstrations, technical workshops, and proof-of-concept projects. Strong consultative selling mindset. Ability to engage with both engineering teams and business decision-makers. Experience working with automotive OEMs, Tier 1 suppliers, semiconductor companies, or software suppliers. Ability to manage multiple customer opportunities and priorities simultaneously. Self-driven, result-oriented, and comfortable working in a fast-paced technical sales environment. Willingness to travel for customer visits, technical workshops, and industry events. Preferred Qualifications Experience with Vector, ETAS, dSPACE, MathWorks, Siemens, NI, or similar automotive software and testing toolchains. Experience in software-defined vehicle, zonal architecture, central compute, or domain controller projects. Experience in E/E architecture, ECU integration, vehicle communication, or diagnostic engineering. Previous responsibility for revenue targets, key account development, or business growth. Experience leading technical PoC projects or pilot deployments. Experience with AI engineering platforms. Familiarity with automotive development standards and processes, including: ASPICE ISO 26262 ISO/S