R&D Principal Software Engineer

Broadcom; Austin (TX); On-site; USD 127,100 - 226,000; Full time

Benefits offered by this job

Medical, dental, and vision plans

401(K) participation with company matching

Employee Stock Purchase Program (ESPP)

Paid sick leave and vacation time

Job summary

Broadcom is hiring a Principal Software Engineer in Austin, Texas, to lead initiatives in AI Virtualization technology. The engineer will focus on developing the AI Virtualization Stack and optimizing performance for machine learning workloads.

This role requires extensive experience with ML frameworks, strong programming skills in C++ and Python, and a problem-solving mindset. As part of a dynamic team, you will enhance virtual machine capabilities while ensuring adherence to coding standards and quality metrics.

The position offers a competitive salary, a comprehensive benefits package, and opportunities for professional growth.

Qualifications

• 12+ years of related experience or Master’s degree and 10+ years of experience.
• 5+ years of experience in ML framework/runtime development.
• Strong understanding and direct experience with ML frameworks.
• Excellent communication and collaboration skills.
• Ability to thrive in a fast-paced work environment.

Responsibilities

• Research, design, and develop the AI Virtualization Stack for the ESXi server.
• Implement and optimize ML frameworks to ensure high-performance execution.
• Troubleshoot and address bugs related to AI/ML acceleration.
• Develop and maintain technical documentation for features.

Skills

ML framework/runtime development

GPU/XPU backend engineering

C++ programming

Python programming

Problem-solving

Communication skills

Git version control

Education

Bachelor's degree in Computer Science or related field

Master's degree in related field

Tools

ML frameworks (PyTorch, JAX)

OpenXLA

CUDA

Job description

About Us

Broadcom is a global leader in semiconductor and infrastructure software solutions. As part of our commitment to innovation and excellence, our VMware subsidiary is dedicated to shaping the future of virtualization technology. We are seeking talented individuals to join the GPU Virtualization Team, which is responsible for integrating GPUs in the ESXi Operating System and providing acceleration to AI/ML and Graphics applications running inside the Virtual Machines. The GPU Virtualization Team is part of the VMware Cloud Foundation (VCF) Division which enables readily deployable, easily managed solutions with GPUs to unleash the power of heterogeneous computing for modern applications.

Job Summary

We are seeking an experienced Principal Software Engineer who has experience leading initiatives in the past. As a Principal Engineer, you will be focused on developing and integrating our AI Virtualization Stack to provide hardware‑agnostic acceleration for AI/ML workloads on Virtual Machines. This role is critical in enabling multi‑vendor GPU and XPU support using ML compilation technologies.

Responsibilities

• Research, design, and develop the AI Virtualization Stack for our ESXi server product.
• Implement and optimize PyTorch and JAX backends using the OpenXLA framework to ensure high‑performance AI/ML workload execution across GPUs and XPUs.
• Analyze and re‑architect performance‑critical sections of the ML acceleration code, focusing on optimization techniques for LLM inference such as KV‑caching and FlashAttention.
• Troubleshoot and address bugs related to AI/ML acceleration functionality.
• Deliver software that meets the coding guidelines and quality standards set by the VCF.
• Develop and maintain technical documentation for delivered features.
• Work closely with the larger team, including virtual driver and device team, as well as external GPU/XPU vendors, to provide end‑to‑end support for ML frameworks.
• Stay up‑to‑date with the latest GPU/XPU hardware architecture and AI/ML compiler technologies.

Qualifications

• Bachelor’s degree in Computer Science or related field and 12+ years of related experience or Master’s degree and 10+ years of related experience.
• 5+ years of experience in ML framework/runtime development, GPU/XPU backend engineering.
• Strong understanding and direct experience with ML frameworks (PyTorch, JAX) and graph/ML compiler technologies (e.g., OpenXLA).
• Experience with C++ and Python programming languages.
• Strong problem‑solving skills and ability to troubleshoot complex issues.
• Excellent communication and collaboration skills.
• Experience with version control systems such as Git.
• Ability to thrive in a fast‑paced and dynamic work environment.
• Familiarity with enterprise coding standards and best practices.

Nice to Have

• Experience with inference servers such as vLLM, Triton.
• Experience with low‑level GPU kernel development and writing custom kernels (e.g., CUDA, ROCm, or similar).

Must have legal authorization to work in the US.

Compensation and Benefits

The annual base salary range for this position is $127,100 - $226,000.

As a valued member of our team, you’ll be eligible for a discretionary annual bonus and the opportunity to receive not only a competitive new hire equity grant, but also annual equity awards, connecting your success directly to the company’s growth. All subject to relevant plan documents and award agreements.

Broadcom offers a competitive and comprehensive benefits package: Medical, dental and vision plans, 401(K) participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave and vacation time. The company follows all applicable laws for Paid Family Leave and other leaves of absence.

Equal Opportunity Employer

Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law.