Description
About the Role
Ceva’s AI Division is driving innovation in Neural Network Processors (NPU), embedded AI software, and system-level solutions for edge and cloud devices. This China-based role serves as a key technical bridge between local customers, regional field teams, and global R&D, supporting the full lifecycle from pre-sale evaluation through post-sale deployment.
The position combines strong software expertise, AI system understanding, and customer-facing engineering to ensure successful adoption and optimization of Ceva’s AI solutions. The role reports to the Pre & Post-Sales Manager and works closely with FAEs, Sales, and global R&D teams.
Role Mission
Proactively lead customer engagements across China and worldwide by defining clear technical direction, success criteria, and actionable plans, ensuring high-quality performance and accuracy data that positions Ceva solutions for successful design wins.
Take end-to-end ownership for enabling customers to integrate and deploy Ceva AI tools and software stack, providing hands-on technical leadership across pre-sale and post-sale activities.
Act as a trusted technical advisor to customers, ensuring clarity, alignment, and measurable outcomes across the full customer lifecycle, from initial engagement and evaluation through licensing to production deployment, while maintaining accountability for delivery quality, timelines, and customer success.
Requirements
Key Responsibilities
Customer Engagement & Delivery (Pre- & Post-Sales)
• Lead technical evaluations, benchmarks, and proof-of-concept activities, generating and presenting performance and accuracy data aligned with customer requirements
• Drive design wins by supporting FAEs and Sales with clear technical positioning and customer-facing presentations
• Own customer enablement end-to-end, including integration, debugging, optimization, and training on Ceva tools, SDKs, and AI workflows
• Ensure successful deployment and production readiness across customer projects
Technical Execution:
• Support customers in integrating Ceva AI software stack into their systems, including embedded software, AI frameworks, and NPU/DSP environments
• Perform system-level debugging, profiling, and performance tuning
Customer Interface & Collaboration:
• Serve as primary technical advisor for customers and internal stakeholders
• Collaborate with FAEs, Sales, and global R&D to resolve complex issues and to capture and feedback customer insights
• Understand customer requirements and use cases in depth, translate them into concrete technical gaps, issues, and feature requests, and provide continuous, actionable feedback to R&D and Product teams to support issue resolution, feature prioritization, and solution improvements
• Manage multiple customer engagements with clear priorities, ownership, and accountability
Requirements
Education:
• B.Sc./M.Sc. in Computer Science, Electrical Engineering, or related field
Experience:
• 3+ years in embedded SW AI systems roles
• Experience in customer-facing technical roles (pre-sale/post-sale)
Technical Skills:
• Strong software development and debugging capabilities
• Familiarity with AI/ML frameworks (TensorFlow, ONNX, etc.)
• Knowledge of NPU, DSP, or embedded AI systems
Soft Skills:
• Strong communication skills in English; Mandarin
• Analytical and problem-solving mindset
• Ability to work effectively across cross-functional and multicultural teams
• Proactive approach and “yes we can” mindset
Work Model & Travel:
• Willingness to work on-site at customer locations as required, including extended periods to support critical project phases
• Availability for travel to support multiple customer engagements and to travel to Ceva headquarters in Israel, for training, alignment, and project support
Summary
This role combines software engineering, AI expertise, and customer-facing responsibility, focused on driving successful adoption and deployment of advanced AI solutions. It requires a proactive, hands-on approach with strong ownership, ensuring customer success from evaluation through production.