Associate Fellow - Software

Microchip Technology Inc.•San Jose, CA

1d•Onsite

About The Position

Microchip's Data Center Solutions Business Unit (DCS) is entering a new era. Our Storage Controllers, PCIe Switches, NVMe Controllers, and smart memory products run inside the infrastructure that trains and serves the world's AI workloads — and the way we build those products must evolve just as quickly as the workloads they enable. As an Associate Fellow – Software, you will serve as a senior technical authority responsible for optimizing and modernizing the full spectrum of engineering systems used to produce our data center products — firmware, systems software, DevOps platforms, and test architecture — and for driving the AI-era transformation of how those systems operate. You will set the vision for an AI-native Agentic engineering organization and, working alongside Microchip's established firmware, DevOps, test, systems, and silicon teams, help make it real. This is a senior hands-on role executed in partnership with the internal. You will architect, prototype, and co-develop — contributing code, reference implementations, and agentic tooling — while empowering those teams to adopt, operate, and scale what you build together. Your influence will span Microchip's Flash Controller, PCIe Switch, and memory-attach product lines, reach into how firmware and silicon teams design, verify, and bring up next-generation products, and — where opportunity permits — extend into the products themselves through AI-enabled capabilities.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering
20+ years of relevant experience
15+ years of experience in data-center-class software engineering, with demonstrated product impact
10+ years combined hands-on experience across systems software, DevOps/platform engineering, and test architecture for complex hardware/software products.
Demonstrated experience personally designing, building, and deploying agentic systems, LLM-based tooling, or AI-augmented engineering workflows in a production or product-engineering context.
Working knowledge of Ethernet, NVMe and PCIe protocols and the storage and connectivity products built on them.
Fluency in modern software stacks (Python, Go, C/C++, TypeScript as applicable), modern ML/LLM frameworks, and orchestration patterns for agentic systems (tool use, retrieval, evals, guardrails).
Strong systems thinking, written/verbal communication, and ability to influence across engineering, product, and executive audiences — while remaining hands-on in the code.

Nice To Haves

Master's degree in Computer Science, Computer Engineering, or Electrical Engineering
Working knowledge of Ethernet and related data center networking stacks.
Experience transforming engineering organizations at scale — raising developer productivity, test maturity, or release velocity through platform and AI investments.
Experience applying agentic or AI-assisted methods to firmware and silicon engineering workflows (verification, coverage, RTL, bring-up).
Experience with Ethernet, Enterprise Flash Controllers, PCIe Switches, or NVMe/NVMe-oF products.
Familiarity with firmware development environments for ARM, RISC-V, or MIPS-based embedded subsystems.
Background contributing to open-source AI tooling, agent frameworks, or engineering-productivity platforms.

Responsibilities

Drive architectural optimization of the end-to-end engineering systems used to produce our products — source control, CI/CD, reproducible environments, hardware-in-the-loop test farms, and release engineering — in partnership with internal DevOps and platform teams.
Define and drive the AI-era engineering vision for DCS: agentic developer tooling, AI-augmented verification, autonomous test, intelligent observability, and AI-native release pipelines — personally prototyping the foundational pieces and scaling what works through partner teams.
Shape the strategy for test and verification automation, including pre-silicon software validation, post-silicon bring-up automation, compliance testing, and protocol conformance (NVMe, PCIe) — working with the test and verification teams who operate these systems.
Provide senior technical leadership across the data center software stack — firmware, embedded Linux/RTOS subsystems, host drivers, management, diagnostics, and telemetry — driving architectural coherence in collaboration with the teams that own each area.
Extend platform and AI investments into firmware and silicon engineering workflows, so firmware and silicon teams share a continually improving, increasingly AI-native engineering backbone.
Roll up your sleeves to co-build alongside internal teams — contributing reference implementations, agentic workflows, and critical components, and mentoring senior engineers by building with them.
Where opportunity permits, partner with architecture and product teams to infuse AI capabilities into DCS products themselves — on-device intelligence, adaptive telemetry, and intelligent diagnostics.
Establish evaluation, governance, and safety practices for AI/agentic tooling used in production engineering workflows — covering IP, security, reproducibility, and data handling.
Set standards for observability, performance, and reliability across firmware and systems software; influence hiring, technical roadmaps, and cross-BU engineering practices; represent Microchip in relevant technical forums.