Principal Product Manager – Hardware Accelerator Virtualization

• Manage end-to-end execution of hardware accelerator virtualization projects on Red Hat Open Stack and Open Shift
• Ensure GPU enablement, resource scheduling, and delivery of Compute/Cyborg components stay within scope, schedule, and budget
• Confer with engineering, quality, and hardware partner teams to resolve technical blockers in driver alignment, secure boot compliance, and upgrade compatibility
• Monitor milestones for AI/ML workload optimization, including GPU passthrough, partitioning, and performance tuning
• Assess customer and market requirements for GPUs and FPGAs in AI/ML and HPC workloads and translate them into roadmap priorities
• Develop and update Open Shift hardware-enablement project plans, objectives, specifications, schedules, and staffing needs
• Prepare status reports on hardware trends and virtualization architecture requirements to inform platform strategy
• Establish communication plans across RHEL, Open Shift, Open Stack, and external hardware vendors
• Submit production-grade accelerator features after validating scalability and security
• Direct engineering and quality personnel validating scalable, secure accelerator features
• Perform risk assessments and develop mitigation strategies for integration, lifecycle management, upgrades, and secure boot compliance
• Develop a WBS for Red Hat Open Stack Platform Compute and Cyborg component delivery
• Negotiate with GPU vendors and FPGA suppliers for early accelerator access and joint roadmap commitments

• Master’s degree in Mechanical Engineering, Technology Management, Business Administration, or related field and five years of relevant experience, OR bachelor’s degree in one of these fields and seven years of relevant experience
• Three years of experience with hardware accelerators, including GPUs and FPGAs, applied to AI/ML workloads
• Three years of experience with AI/ML technologies and frameworks, including classifiers, PyTorch, Tensor Flow, and LLMs
• Three years of experience defining virtualization architecture requirements across Open Stack Nova, KVM/libvirt, and Kubernetes for GPU passthrough, partitioning, and performance tuning
• Three years of experience as a technical product manager driving enterprise software solutions, including cloud infrastructure or virtualization platforms
• Two years of experience with Red Hat Open Shift Platform, Red Hat Open Stack Platform, VMware vSphere, or other enterprise infrastructure solutions
• Two years of experience with Agile development processes
• Two years of experience overseeing kernel-level hardware-enablement integration, driver compatibility, and upgrades
• Two years of experience with management frameworks for various accelerator types

Demonstrates expertise in managing hardware accelerator virtualization projects, particularly with Red Hat Open Stack and Open Shift, while ensuring GPU enablement and resource scheduling for AI/ML workloads. Proficient in defining virtualization architecture requirements and collaborating with cross-functional teams to drive enterprise software solutions.

• Hardware Accelerator Virtualization Management
• AI/ML Technologies and Frameworks
• Red Hat Open Shift and Open Stack Experience
• Virtualization Architecture Requirements Definition
• Technical Product Management

• GPU Enablement
• FPGA Integration
• Performance Tuning
• Virtualization Architecture
• Kubernetes
• Agile Development Processes
• Driver Compatibility
• Cloud Infrastructure Solutions
• Risk Assessment
• Work Breakdown Structure (WBS)

• Communication
• Collaboration
• Problem-Solving
• Negotiation
• Leadership

• AI/ML Workloads
• Hardware Accelerators
• Virtualization Platforms
• Enterprise Infrastructure Solutions
• Technical Blockers

• Red Hat Open Shift
• Red Hat Open Stack
• VMware vSphere
• KVM/libvirt
• Py Torch
• Tensor Flow
• AI/ML Workload Optimization
• Secure Boot Compliance
• Cyborg Components
• Compute Components