Silicon Software Lead

Job Title

Silicon Software Lead

Role Summary

Lead and grow the silicon software team responsible for the compiler, runtime, kernels, drivers, and hardware abstraction layer for a novel stochastic analog in-memory ASIC. Collaborate closely with hardware architects to co-design ISA and software interfaces so software requirements shape the silicon design.

Hands-on technical leadership: set technical direction, review designs and code, and unblock engineering challenges across simulation, FPGA prototypes, and silicon bring-up.

Experience Level

Senior — technical lead role. The posting does not specify a required number of years of experience.

Responsibilities

Own the architecture and delivery of the silicon software stack and lead the team that implements it.

• Lead and grow a team spanning compiler, runtime, kernels, drivers, and systems software while remaining hands-on in design and code review.
• Define and own the software stack architecture from ML framework ingestion through compilation, scheduling, memory management, and execution on hardware.
• Drive software/hardware co-design: partner on ISA definition and the hardware abstraction layer to ensure programmability and compilability.
• Develop and maintain runtime, kernels, drivers, profiling, and debugging tooling for real inference workloads.
• Maintain continuity from simulation to FPGA prototypes to silicon so software development proceeds alongside hardware maturation.
• Set roadmap milestones tied to the hardware program and hire engineers to meet delivery goals.

Requirements

Key qualifications required to perform the role and preferred additional strengths.

Must-have

• Proven experience building software stacks for accelerators or non-standard hardware targets (compilers, runtimes, kernels, drivers).
• Technical leadership experience (technical lead or manager) while remaining hands-on in design and code.
• Strong systems programming skills in C++, Rust, or equivalent; fluency in Python.
• Deep understanding of ML inference workloads and constraints that affect hardware execution.
• Experience with compiler frameworks (MLIR, LLVM) or inference runtime and kernel development.
• Comfort building software for evolving hardware across simulation, FPGA prototypes, and silicon bring-up.
• Track record of hiring and developing systems engineers.

Nice-to-have

• Experience taking an accelerator software stack from zero to production in a startup or new hardware program.
• Experience with in-memory compute, processing-in-memory, or analog hardware interfaces.
• Contributions to open-source compiler or runtime infrastructure.
• Prior work where software insights shaped ISA or architecture decisions.

Education Requirements

Not specified.

Equal Opportunity & Accessibility

Normal Computing is an equal opportunity employer and provides reasonable accommodations. For accessibility accommodations, contact accommodations@normalcomputing.com.

About the Company

Company: Normal Computing

Headquarters: New York, NY, USA

Normal Computing develops software and hardware solutions for the semiconductor and AI infrastructure industries, specializing in ASICs for image and video diffusion inference and AI accelerators. The company focuses on architecture and microarchitecture of compute blocks, PE array design, ISA co-design, and FPGA prototyping.