Silicon Validation and Tool Development Engineer
12 hours ago
- Debug and Validation Tools Development: Creating and enhancing tools that enable FPGA silicon validation, IP, software, tools, and integration.
- Continuous Improvement: Delivering ongoing improvements to silicon validation environments and methodologies.
- Test Environment Development: Developing lab-based test environments and synthetic test content to characterize and test functionality, performance, and power, qualifying them for product release.
- Hardware and Software Techniques: Applying various hardware and software tools and techniques to ensure functional coverage and debug issues.
- Silicon Debugging: Debugging and resolving silicon bring-up issues, documenting solutions, and troubleshooting from prototype to production.
- Collaboration: Work closely with cross-functional teams like architecture, design, software, firmware, and tools teams to ensure seamless integration of validation and debugging tools.
- Software Tools Optimization: Researching, designing, developing, and optimizing software tools that enable the use of FPGAs. Conduct research and stay updated on the latest trends and technologies in ML, AI, and post-silicon validation
- Firmware Development: Developing System level programming and firmware closely coupled to FPGA silicon, IP, and boards.
- Problem Solving: Demonstrating strong problem-solving skills to contribute to the development and implementation of innovative solutions to enhance validation and debugging processes.
- Customer Interaction: Responding to customer/client requests or events as they occur and bridge the gap. Document technical specifications and project progress
- Education: Bachelor's or Master's degree in Computer Science Engineering or equivalent.
- Experience: 12+ years of relevant experience, including 4+ years in a leadership role.
- Tool Development: Strong expertise in developing system/embedded and debug tools.
- Programming Skills: Proficiency in C, C++, and Python.
- Hardware-Software Debug: Hands-on experience in hardware and software debugging.
- Design Principles: Solid understanding of design principles and data structures.
- Machine Learning & AI: Preferred exposure or expertise in Machine Learning (ML) and Artificial Intelligence (AI).
- Analytical Skills: Strong analytical and problem-solving skills.
- Team Collaboration: Ability to work effectively in a team environment.
- Communication: Excellent communication and interpersonal skills.
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