Embedded CPU Engineer, Platform Architecture

What you'll do

• Analyze performance characteristics of embedded workloads including real-time processing, audio DSP, and ML inference.
• Identify bottlenecks in existing microarchitectures and propose optimization strategies for performance, power, and area.
• Translate workload insights into actionable improvements for both hardware designs and the software stack.
• Explore ISA extensions and microarchitecture enhancements tailored to specific embedded use cases.
• Develop and refine performance models, simulators, and analysis tools to support architectural exploration.
• Create and analyze real workloads and benchmarks representative of embedded applications.
• Work with design teams to ensure architectural ideas are implementable within power, timing, and area constraints.

What we're looking for

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a similar field.
• Master's or PhD in Electrical Engineering, Computer Engineering, or Computer Science is preferred.
• Experience in CPU architecture or microarchitecture.
• Experience with performance simulation environments and the analysis or optimization of workloads.
• Proficiency in one or more architectures including ARM, RISC-V, or x86.
• Proficiency in programming languages such as C, C++, Python, or Perl.
• Expertise in areas like branch prediction, prefetching, pipeline optimization, datapath, or memory hierarchy.
• Experience with embedded ML workloads, SIMD/vector architectures, or real-time operating systems.