Applied AI Engineer
About The Position
The VMware Cloud Foundation Division enables organizations around the world to run their business critical and modern applications in a secure, resilient, and cost-efficient manner. With our flagship product VMware vSphere, and our industry-leading technologies including vSAN, NSX and Aria, Broadcom customers receive the scale and agility of a public cloud with the security and performance of a private cloud. Modern infrastructure, accelerated application innovation, and predictable TCO savings and investment returns are just a few of the benefits from having a private cloud infrastructure powered by VMware Cloud Foundation. Together, our bold group of technology professionals with diverse backgrounds – spanning engineering, products, marketing, partners, professional services, and global support services – is focusing on what can be for the largest enterprises, governments, financial services, healthcare, manufacturing and educational institutions of the world. Elevator Pitch Large language models (LLMs) have rapidly evolved from simple assistive tools into sophisticated agents capable of driving multi-system workflows and taking on complex knowledge work. As enterprises deploy AI across business critical environments to boost productivity, these modern workloads will require highly optimized, scalable, and resilient infrastructure. The AI and Advanced Services team within the VMware Cloud Foundation (VCF) Division is seeking a highly skilled Applied AI Engineer. Working at the intersection of research and product engineering, you will help enable AI workloads to run seamlessly on VCF. This role requires a unique blend of deep AI expertise, hands-on experience with on-premise and cloud infrastructure, and cross functional collaboration to drive product outcomes. You will join a global team of senior engineers and technologists responsible for VCF's AI IaaS platform. By collaborating closely with product, engineering, and AI platform teams, you will help deliver highly performant, cost effective AI solutions across the VCF portfolio.
Requirements
- Deep practical knowledge of both theoretical and production designs for infrastructure and systems that support AI agents, including APIs, cloud services, and data pipelines.
- Strong analytical and problem-solving skills, the ability to work both independently and collaboratively with diverse stakeholders.
- Excellent written and verbal communication skills preferably demonstrated through technical blogs, published research, and talks.
- Hands-on experience with agentic AI coding tools such as Cursor, Codex, or Claude Code.
- BS with 8, MS with 5 or PhD with 3 years of experience in computer science, machine learning or equivalent practical experience with specialization in cloud or on-premise infrastructure preferred.
- Proven track record of taking a novel concept, engineering a solution and driving its adoption to a product at scale.
Responsibilities
- Design and implement enterprise scale AI infrastructure solutions to enable agents at scale.
- Develop optimizations for AI workloads to ensure maximum hardware utilization and efficiency.
- Leverage VCF runtime data to derive new insights that will inform performance and scalability improvements.
- Manage stakeholders effectively and solve ambiguous technical challenges that align to the overall strategy and roadmap for the team.
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
