SoC Systems Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS

Job Description

AWS designs custom SoCs (System on Chips) that power the world's largest machine learning training and inference clusters. Our organization builds both the SoCs and the low-level software stack that brings these chips to life – drivers that expose the hardware to the OS, runtime libraries that orchestrate computation, and collective communication software that coordinates thousands of chips working together across a network.

We’re looking for a Systems Software Engineer who wants to work at the boundary between hardware and software in both pre‑silicon and post‑silicon, where the problems are hard, the debugging is deep, and the impact is enormous.

Our team develops SoC models and infrastructure to enable SoC validation, accelerate system software development, and enable architectural exploration. As part of the ML Accelerator Systems Modeling Software team, you will:

• Develop and own components of our SoC models, both single‑chip and at the datacenter‑scale level
• Debug complex hardware/software interactions across the full software stack — from register‑level bring‑up on functional models and emulators, to performance analysis on live silicon
• Collaborate with chip architects, RTL designers, modelers, compiler engineers, and ML framework teams to co‑design and validate the hardware/software interface
• Contribute to the design of hardware features by providing a software perspective early in the chip development cycle
• Build tooling, test infrastructure, and automation that accelerate development for yourself and your teammates

• Are comfortable reading hardware specs and translating them into working software
• Have debugged problems where the root cause could be in hardware, software, or the interface between them
• Have built firmware, drivers, runtime software, or communication libraries for SoCs, ASICs, GPUs, CPUs, or FPGAs
• Care about performance and have experience profiling and optimizing latency‑sensitive or throughput‑critical code paths
• Are comfortable in C++ close to the hardware and use Python for tooling and automation
• Enjoy working on a small, high‑impact team where you own significant pieces of the stack end‑to‑end

• Knowledge of hardware architectures
• 2+ years of professional experience developing firmware, drivers, runtime software, or low‑level systems software for custom hardware (SoCs, ASICs, GPUs, CPUs, FPGAs)
• Experience programming in C++, Python, and/or Rust (preference for at least
  2)

• Experience with collective communication libraries or distributed systems primitives (MPI, NCCL, RCCL, or similar)
• Experience debugging using functional models, QEMU, FPGA, or emulators
• Experience with Linux kernel development, device drivers, or bare‑metal firmware
• Experience building functional or performance models of So Cs
• Familiarity with PCIe, DMA engines, on‑chip interconnects, or network‑on‑chip architectures
• Experience with performance profiling and optimization of latency‑sensitive software
• Experience with multi‑threaded, multi‑process, or asynchronous programming models

This role can be based in either Cupertino, CA or Austin, TX.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business…