汽车软件与AI解决方案销售_ETAS at Bosch

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 Responsibilities1. 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, Flex Ray, 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, Math Works, 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.

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