MediaTek
Computing Platform Planner (Senior Product Manager)
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Hsinchu, North District, Hsinchu City, Taiwan
Work mode:
Onsite
Published on:
19 August 2026
What they need
We need your help drive the development of Computing technology for architectures used for artificial intelligence, high-performance computing, gaming. Come join the Computing Platform team and help us push performance boundaries for all our products! At MTK, our mission is to build great products that accelerate next-generation computing experiences—for PCs and other derived systems. What you'll be doing:
- Benchmark MTK solutions against x86 and ARM offerings the same timeframes to frame MTK's value proposition, and suggest software or hardware improvements.
- Present insights and recommendations to MTK senior leadership.
- Build a strong knowledge base of long-term roadmap requirements to support product definitions to meet next-gen edge AI computing platform needs.
- ==
- Work on workload bring-up and performance analysis/projection, both on silicon and full-system.
- Study real world use-cases and identify critical application behavior for PC and Edge AI Market, including PC/Laptop productivity , Gaming, Creating workloads
- Work with CPU and interconnect architects to improve future SoC and system designs based on your findings.
Main Requirements and Qualifications
- What we need to see:
- MS in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.
- 5+ years of relevant experience.
- Knowledge of performance metrics—such as cinebench, geekbench, specint, perf/W, tokens/sec, bandwidth, and industry standards.
- Knowledge of traditional PC/Laptop workloads on productivity , Gaming, Creating.
- Knowledge of performance test cases benchmarking for CPU and I/O.
- Experience with CPU workloads and performance analysis.
- Experience with the ARM instruction set architecture (ISA) preferable but not required.
- Ways to stand out from the crowd:
- Experience on Agentic AI workloads
- Deep knowledge of CPU architecture and system architecture.
- Experience on Intel or AMD CPU Performance Architect or Product planning experiences
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