R&D Principal Software Engineer

Broadcom

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Quick summary

Work type: On-site
Location: Promontory, CAAustin, TX
Employment: Full-time
Posted: 20 days ago
Freshness: Confirmed live today
Closes: Dec 11, 2026
Nearby: 99+ roles within 25 mi

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Similar $192k

$118k $292k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $169,550–$214,500.

Based on 240 similar postings.

Employer

About Broadcom

Broadcom is a global semiconductor and infrastructure software company that designs and markets a wide range of networking, storage, and wireless connectivity solutions. Industry: Semiconductors & Infrastructure Software

Broadcom currently has 280 open roles on FindRole.

Listed pay typically runs $121,900–$195,000 across 169 roles with salary data.

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At a glance

TL;DR · R&D Principal Software Engineer

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The R&D Principal Software Engineer joins the GPU Virtualization Team within the VMware Cloud Foundation Division. This role focuses on developing and integrating the AI Virtualization Stack to provide hardware-agnostic acceleration for AI/ML workloads on Virtual Machines. Key responsibilities include researching, designing, and developing the stack for the ESXi server product, specifically implementing and optimizing PyTorch and JAX backends using the OpenXLA framework. The engineer will analyze and re-architect performance-critical sections for LLM inference, including KV-caching and FlashAttention. Required skills include proficiency in C++, Python, and Git, along with experience in ML framework development and GPU/XPU backend engineering. The work involves solving complex problems related to multi-vendor GPU support and ML compilation technologies to enable heterogeneous computing for modern applications.

Skills

PyTorch JAX OpenXLA C++ Python CUDA ROCm vLLM Triton Git ESXi GPU Virtualization ML Compilation KV-caching FlashAttention

What you'll do

Research, design, and develop the AI Virtualization Stack for the ESXi server product.
Implement and optimize PyTorch and JAX backends using the OpenXLA framework.
Re-architect performance-critical sections of ML acceleration code for LLM inference.
Troubleshoot and resolve bugs related to AI/ML acceleration functionality.
Develop and maintain technical documentation for all delivered features.
Provide end-to-end support for ML frameworks in coordination with virtual driver and device teams.
Monitor and integrate the latest GPU/XPU hardware architectures and ML compiler technologies.

What we're looking for

Bachelor's degree in Computer Science or related field and 8+ years of related experience.
Master's degree and 6+ years of related experience.
5+ years of experience in ML framework/runtime development and 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.
Experience with version control systems such as Git.
Experience with inference servers such as vLLM or Triton (preferred).
Experience with low-level GPU kernel development and writing custom kernels (e.g., CUDA, ROCm, or similar) (preferred).

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