Principal Product Manager – Hardware Accelerator Virtualization

Jobtailor

Boston (MA)

On-site

USD 150,000 - 230,000

Full time

14 days+

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Job summary

Jobtailor in Boston seeks a senior technical product manager for hardware accelerator virtualization, focusing on Red Hat OpenStack and OpenShift. You will drive end-to-end projects, ensure GPU enablement, and coordinate across engineering, quality, and hardware partners to meet scope, schedule, and budget.

You will translate AI/ML workload requirements into roadmaps, define virtualization architecture requirements for GPU passthrough, and lead kernel-level integration and driver compatibility

Qualifications

Master’s degree with five years of relevant experience, or bachelor’s with 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, TensorFlow, and LLMs
Three years of experience defining virtualization architecture requirements across OpenStack 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 OpenShift Platform, Red Hat OpenStack 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

Responsibilities

Manage end-to-end execution of hardware accelerator virtualization projects on Red Hat OpenStack and OpenShift
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 OpenShift 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, OpenShift, OpenStack, 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 OpenStack Platform Compute and Cyborg component delivery
Negotiate with GPU vendors and FPGA suppliers for early accelerator access and joint roadmap commitments

Skills

Hardware accelerator mgmt

GPU/FPGA integration

Kubernetes

AI/ML workloads

Virtualization architecture

Agile development

Technical product management

Cloud infrastructure

Driver compatibility

Risk assessment

Education

Master’s degree in Mechanical Engineering/Tech Management/Business Admin

Bachelor’s degree in related fields

Tools

Red Hat OpenShift

Red Hat OpenStack

VMware vSphere

KVM/libvirt

PyTorch

TensorFlow

Cyborg/Compute components

Secure Boot Compliance

Job description

Manage end-to-end execution of hardware accelerator virtualization projects on Red Hat OpenStack and OpenShift
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 OpenShift 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, OpenShift, OpenStack, 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 OpenStack Platform Compute and Cyborg component delivery
Negotiate with GPU vendors and FPGA suppliers for early accelerator access and joint roadmap commitments

Requirements

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, TensorFlow, and LLMs
Three years of experience defining virtualization architecture requirements across OpenStack 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 OpenShift Platform, Red Hat OpenStack 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

Core Competencies

Demonstrates expertise in managing hardware accelerator virtualization projects, particularly with Red Hat OpenStack and OpenShift, 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.

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