Job Description: 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. Job Qualification: 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/SAE 21434 • AUTOSAR methodology • Experience in international or cross-functional project environments. 博世集团网上招聘数据处理同意声明 个人信息及目的：你的如下个人信息将被处理并用于招聘：姓名、电子邮箱、电话号码、所在地区、经验和教育信息、简历等应聘者自主提交的附件信息、证件号、职位、部门、计划入职日期、劳动合同持续时间、工作地点、月薪、年薪、浮动奖金比例、餐贴、车贴。 博世将依据相关的数据保护法规，在全球范围内对您的数据进行保密。招聘流程中，您的个人信息只有在必须时才会被提供给博世以外的第三方机构(如代理机构)。博世精心挑选了第三方机构并与之签订了保密合同。博世采取了种种保密措施以保护您的数据，确保其不会遭受操纵、丢失、破坏、未经授权的访问或泄漏。我们的安全措施将随着新技术的应用而不断升级。您的本地浏览器和我们的人才招募系统之间的数据传输通过https加密。 特定职位申请：申请博世集团的职位就意味着您将自己的个人信息提供给博世集团旗下相应的法律实体（具体请见博世集团法人清单）。请注意，若有任何文件或资料变更，请在所有申请书里一并变更。人力资源部门的员工可能与您联系，询问您是否同意将您的求职申请转向博世集团内部另一合适职位。如果您申请了特定职位，那么只有在您同意的情况下，博世才会将您的求职申请转向另一职位。 您可以随时撤回求职申请，博世将根据相关法律删除您的个人信息。与您的申请相关的所有资料将被保留至24个月。您的权利：若您希望停止向博世提供您的个人信息，可联系我们或通过博世网上招聘数据隐私声明中的BKMS系统提出申请。您可以在SmartRecruiters平台查阅和修改您的简历。您对您的个人信息的处理享有知情权、决定权，您有权限制或者拒绝我们对您的个人信息进行处理。您还可以更正、补充您的个人信息。 跨境传输：为了实现前述目的，我们所收集的您的个人信息可能会在多个国家或地区间进行跨境转移，例如德国、新加坡。 德国：罗伯特-博世有限公司（德国格宁根市罗伯特博世广场1号（Robert-Bosch-Platz 1, Gerlingen-Schillerhohe, Germany，邮编：70839），用于集团统一招聘管理（博世中国与数据接收方均基于该目的开展数据出境活动； 英国：SmartRecruiters（英国伯克郡温莎亚瑟路圣斯蒂芬大厦 邮政区码: SL4 1RU），用于招聘、后期交流联系及分享职位/活动信息、潜在人才社区邀请。 您可通过上述联系方式依法向境外接收方行使您在个人信息处理活动中的权利。 存储您的个人信息：我们将仅在为实现目的必要的范围内以及法律法规要求的时间内保留您的个人信息。 雇佣：被雇佣后，您提供的数据将被从当前招聘系统转移至职位所属公司的人力资源管理系统。联系方式： 请通过访问博世中国官方主页：博世在中国＞加入博世＞工作机会，在网上招聘数据隐私声明中“9.联系方式” 博世集团法人清单： 请通过访问博世中国官方主页：博世在中国＞加入博世＞工作机会，在网上招聘数据隐私声明中获取现阶段使用网上招聘系统的博世集团法人（第五页）