Distributed Resource Scheduler Software Engineer IV

Broadcom

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: CA
Salary: $120,000–$192,000 / yr
Posted: 145 days ago
Freshness: Confirmed live 2 days ago
Closes: Oct 17, 2026
Nearby: 76 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $175k

This role $156k

$109k most similar roles pay here $226k

This role pays less than 68% of similar roles. Most pay $146,843–$202,800 — the shaded band above. At the midpoint, this role pays about $156k versus about $175k for comparable roles.

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 119 open roles on FindRole.

Listed pay typically runs $121,900–$195,000 across 105 roles with salary data.

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View all roles at Broadcom

At a glance

TL;DR · Distributed Resource Scheduler Software Engineer IV

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Distributed Resource Scheduler: Software Engineer 4 joins the VMware VCF DRS team to develop critical workload placement and balancing technologies for the vSphere platform. This role involves designing and developing algorithms for multi-constraint scheduling problems in distributed systems, specifically focusing on storage, networking, compute, and hardware accelerators. The engineer will decompose vague problems into detailed requirements, implement low-latency scaling solutions, and maintain automated tests to ensure reliability. Key responsibilities include troubleshooting complex issues and collaborating with cross-functional teams to integrate features like Kubernetes on vSphere. The ideal candidate possesses expert proficiency in C++ programming, experience with cloud-based infrastructure, and knowledge of version control systems like Git. This role addresses the technical challenge of managing distributed compute clusters and optimizing resource utilization for modern AI inferencing workloads and cloud-native environments within a large-scale virtualization stack.

Skills

C++ Kubernetes vSphere Docker VMware VCF NSX vSAN vCenter Server Distributed Systems Containerization Git Agile Resource Scheduling Algorithms

What you'll do

Design and develop reliable mechanisms for multi-constraint scheduling problems in distributed systems.
Scale algorithms to support low-latency infrastructure workload placement, resource scheduling, and balancing.
Optimize algorithms to manage storage, networking, compute, and hardware accelerator resources.
Decompose vague, high-level problems into detailed technical requirements and actionable solutions.
Develop and maintain automated tests to ensure feature quality and reliability.
Troubleshoot and resolve complex issues related to workload placement and resource balancing.
Perform code reviews to ensure alignment with established coding standards and best practices.

What we're looking for

Bachelor's degree in Computer Science or Engineering with 8+ years of related experience.
Master's degree in Computer Science or a related field with 6+ years of related experience.
Proficiency in C++ programming and strong experience in the software development process.
Ability to decompose vague problems into detailed requirements and deliver high-quality solutions.
Experience with cloud-based infrastructure offerings.
Strong problem-solving, debugging, communication, and collaboration skills.
Experience with agile development methodologies and version control systems like Git.
Legal authorization to work in the United States.

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