We are seeking a highly skilled engineer to develop 2.5D/3D chiplet and networking solution based on technology-systems co-optimized for a unique era of heterogeneous compute as Moore’s law slows down. The candidate is expected to be an expert in recent technology-architecture trends for heterogeneous low power high performance compute and AI compute. He/she should be able to apply that knowledge to influence the company's’s next generation SoC and platform architectures, including partitions for logic and Cache, DRAM memories, and involving 2.5D/3D chiplets and networking technologies to connect them. Knowledge of emerging optical networking technology is a plus.
Candidate will also drive innovation in the group and across the company's’s product BUs to effectively map emerging AI and other compute use cases to process and chip-integration solutions with detailed knowledge of process technology, 2.5D/3D chiplet architecture, networking technologies, and trade-offs. Knowledge of different IPs (e.g., CPU, GPU, NPU) and how they act together to drive an E2E use case is a plus. Candidate will work with internal architecture and system teams to develop 2.5D/3D partitions and map to 3D stacking topologies. Candidate will perform system KPI analysis to drive 3D architecture and stacking strategies for new product introduction.
Minimum Qualifications:
- Experience with 2.5D and 3D STCO and pathfinding.
- Excellent understanding of generic and AI use case KPI dependency on process and system architecture involving 2.5D/3D chiplets and networking technologies.
- Good knowledge of heterogeneous architecture, 2.5D/3D integration schemes.
- Basic programming skills e.g., ability to model (e.g., in Python or other languages), system use case impact of 3D architectures, and integration schemes.
- Master's or PhD in Electrical Engineering, Computer Science, or a related field.
- Ability to work across teams and BUs.
- Ability to work without supervision and as part of a team.
- Most tasks do not have defined steps; simultaneous use of multiple mental abilities is generally required to determine the best approach.
- Advanced data analysis and interpretation skills are required.
Education:
- Bachelor’s degree in science, Engineering, or related field and 5+ years of relevant heterogeneous System and technology or related work experience.
- OR Master's degree in Science, Engineering, or related field and 4+ years of heterogeneous System and technology or related work experience.
- OR PhD in Science, Engineering, or related field and 3+ years of heterogeneous System and technology or related work experience.
Job Type: Full-time
Pay: $1,000.00 - $1,001.00 per day
Work Location: In person
