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Design and optimize Efficient’s processor architecture across the hardware-software interface. Responsibilities include defining interfaces with compiler and digital design teams, building architectural simulators and performance dashboards, executing design-space exploration experiments, analyzing and visualizing data, and producing technical reports and publications.

Drive functional verification of complex ASIC, SoC, and IP designs from specification through tapeout. Build UVM and constrained-random testbenches, achieve functional and code coverage closure, debug simulation failures, and develop Python-based automation and regression flows. Collaborate with software and technical leadership to communicate verification risks and status. Preferred experience includes formal verification, AI-assisted verification, pre-silicon software testing, post-silicon validation, SoC architecture, and power-aware verification.

Develop firmware and applications for energy-efficient processors across simulation, RTL emulation, and silicon. Maintain low-level SDKs, port RTOSes, validate and verify silicon, develop bring-up hardware and customer evaluation kits, perform board and first-silicon bring-up, debug hardware issues with design teams, and support customers with board development.

The Senior Product Manager - Software defines the roadmap for Efficient Computer's developer platform, focusing on SDKs, compilers, and ensuring robust developer experiences while driving strategy and metrics for product success.

Serve as the technical bridge between customers and engineering teams during silicon IP evaluation and SoC integration. Responsibilities include verification environment setup, RTL and integration debugging, synthesis, physical implementation, timing closure, signoff, training, pre-sales evaluations, customer reviews, release validation, and creating reusable enablement resources. The role requires broad ASIC/SoC expertise, scripting, IP integration experience, and customer-facing communication, with approximately 20–30% travel.

Design and implement compiler features and toolchains to compile ML models to a custom energy-efficient processor. Improve performance, debug compiler issues, write tests, work with ML frameworks, and collaborate with hardware and application teams to optimize compilation, placement, and runtime for TinyML applications.