西门子Application Engineer (Veloce Emulation)
任职要求
Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. We are seeking a highly motivated Application Engineer with expertise in emulation platforms to join our team. In this role, you will provide technical leadership and support for customers adopting Veloce hardware-assisted verification platform and related emulation solutions. You will collaborate closely with customers, sales teams, and R&D to drive successful deployment of emulation methodologies, troubleshoot challenges, and ensure customer success in complex SoC/ASIC verification environments during Evaluation & post-sales service. Key Responsibilities • Provide technical support for Veloce emulation platforms, including platform bringup, debug, and performance optimization. • Support Customer in Virtual & ICE Solution bringup including but not limited to low-speed interface such as JTAG, UART, Flash, EMMC/SD and high-speed interface such as PCIE, DDR, Ethernet, etc. ensuring compliance with protocol standards and performance targets. • Deliver technical presentations, demonstrations, and training to customers on Veloce emulation workflows, tools, and methodologies. • Collaborate with product marketing & R&D to translate customer feedback into product improvements or new feature requests. • Stay current with industry trends in emulation, verification methodologies such as UVM, and emerging technologies (AI/ML, automotive, hyperscale). Requirements • Bachelor’s/Master’s degree in Electrical Engineering, Computer Engineering, or related field. • 5+ years + of hands-on experience with hardware assisted verification platforms, for exam…
工作职责
N/A
Field Applications Engineer Intern Job Description: · Provide onsite product application support to customer yield engineering, metrology, and Litho teams. · Develop strong technical relationship with direct customer interface. · Manage product engagement with regular customer review meetings and bringing critical customer requirements to Account Team and RPM (Regional Product Marketing). · The ideal candidate will have excellent communications skills with a passion for problem solving in a pragmatic manner · More importantly feel proud that his/her own developed solutions get adopted and satisfied by customer. · Day-to-day activities includes front-line support at customer site with face-to-face interface as well as email and phone communications, characterizing issues reported, and driving timely solutions feedback to customer. · First line customer engagement role: working with customer daily on e-Beam Inspection & Metrology solution technical development. Drive and monitor ASML eBeam product & solution engagements at customer site. · Project ownership: provide necessary input to RPM project leader to define technical specs and timeline with customer · Bring technical requirements or technical issues to RPM and Account team, with a sense connecting the impact to business. · Weekly reporting and tracking of customer engagement status · On-time reporting/escalation to AT (account team) and RPM upon business critical information/issues · Summarize BKM (best known method) and share within Apps team (extend to WW Apps team)
• In this role, you will • - AI Solution Development: Design, develop, and deploy AI-driven applications, across domains, such as machine learning, NLP, and computer vision, addressing both business requirements and end-user needs. • - Agent Design and Development: Design and implement intelligent agents within multi-agent systems, enabling real-time collaboration based on pre-defined goals, strategies, and data exchanges. Develop agent-based models to optimize decision-making and interactions. • - MCP Integration: Extend and integrate Multi-Agent Coordination Platforms(MCP) to optimize resource allocation, communication, and decision-making across multiple agents in shared environments. • - Collaboration with Data Science Teams: Collaborate with data scientists to refine algorithms, optimize models, and enhance AI performance, focusing on model tuning, feature selection, and performance benchmarking • - Testing and Validation: Conduct rigorous testing and validation of AI models, including unit testing, integration testing, and A/B testing, to ensure accuracy, reliability, and scalability before deployment. • - Monitoring and Maintenance: Monitor deployed AI models, track performance metrics, and implement continuous improvement strategies, including model re-training and updates based on real-world data and evolving business needs.