Virtualization Engineer, Foundry

• If you’re passionate about pushing technical boundaries and shaping the future of AI for practitioners and newcomers alike, join us to be part of something transformative
• Bachelor’s or Master’s degree in computer science, computer engineering, or equivalent
• At least six years of hands-on experience in a systems or software engineering role
• Familiarity with:
• Operating systems, networking, infrastructure, software engineering, etc
• Virtualization [one of]: QEMU, KVM, Cloud Hypervisor, containers, Kata
• GPUs, high-performance networking (InfiniBand or RoCE)
• Proficiency in at least one mainstream programming language in a professional capacity, along with solid software engineering best practices
• Enthusiasm to tackle complex technical challenges with minimal guidance and develop innovative solutions
• Experienced in large-scale systems architecture and design, with proven ability to own and develop critical components of products and platforms
• Thrives on taking initiative and driving the development of impactful, high-quality systems

Desirable

• Foundry is actively seeking talented candidates at the Senior to Principal level, with leveling determined based on experience and demonstrated expertise
• At Foundry, you’ll play a pivotal role in building the software that powers the future of AI
• Your work is critical—not only in scaling our systems but also in ensuring their reliability and performance at every level
• As AI workloads grow in size and complexity, developing scalable, efficient systems is the cornerstone of our mission
• Our platform is designed to support cutting-edge AI workloads, operating in high-performance, multi-tenant environments
• In this role, you’ll focus on designing, implementing, and optimizing virtualization solutions for GPU, storage, and network resources
• You’ll tackle challenging, ambiguous problems to ensure our virtualization infrastructure upholds the highest standards of performance, security, and reliability
• You’ll collaborate closely with internal product and platform teams, applying your deep knowledge of virtualization technologies like virtual machines (VMs), containers, or hypervisors
• Your contributions will directly shape the future of our platform and drive our success in advancing AI
• Design, develop, and maintain virtualization solutions for GPU, storage, and network resources to meet business needs and performance goals
• Investigate ambiguous problems, identify root causes, and create innovative solutions
• Stay at the forefront of emerging virtualization, artificial intelligence (AI), and machine learning (ML) technologies through research and development (R&D), identifying opportunities to drive innovation and improve our platform
• Build resilient systems with a focus on performance optimization, scalability, and security best practices. Ensure systems are efficient, secure, and reliable
• Cross functionally partner with product, platform, and infrastructure teams to understand stakeholder requirements and deliver effective solutions
• Produce well-documented designs, code, and technical materials to support team collaboration and long-term system maintainability
• Our headquarters is in Palo Alto (next to Caltrain on University Ave.), and we recently opened a new office in San Francisco (Financial District/SoMa) for our teammates based there