Product Manager, GPU Compute & AI Infra (Onsite Fremont)

Acceler8 Talent; Fremont, Northern (CA, KY); Hybrid; USD 110,000 - 149,000; Full time

Benefits offered by this job

Comprehensive benefits

Job summary

Acceler8 Talent is seeking a Product Manager for GPU Compute & AI Infrastructure in Fremont, CA. You will own the product strategy for GPU workstations, servers, racks, and software, coordinating with hardware partners and internal teams across engineering, sales, and marketing.

The role requires deep knowledge of NVIDIA/AMD platforms, pricing, lifecycle management, and go-to-market execution. You’ll translate customer workloads into deployable AI/HPC solutions and help shape the portfolio in a

Qualifications

• Evidence of owning a hardware or infrastructure product line involving NVIDIA or AMD GPU compute.
• Deep familiarity with GPU workstations, servers, racks or clusters.
• Ability to discuss complete GPU solutions spanning compute, storage, networking and software.
• Experience managing products across vendors and internal teams.

Responsibilities

• Own product and solution strategy across GPU workstations, servers, racks, storage, networking and software.
• Define roadmaps, portfolio priorities and lifecycle plans based on customer needs.
• Collaborate with NVIDIA, AMD, OEMs, ISVs and other partners.
• Work with purchasing, sales, marketing and engineering across the lifecycle.
• Shape pricing, positioning, and go-to-market strategy.
• Lead from vendor evaluation through launch and ongoing portfolio management.
• Translate customer workloads into deployable AI/HPC infrastructure solutions.

Skills

GPU product management

Vendor management

Cross-functional leadership

Strategic planning

Tools

NVIDIA GPUs

AMD GPUs

Slurm

Bright Cluster Manager

InfiniBand

Job description

Acceler8 Talent is seeking a Product Manager for GPU Compute & AI Infrastructure in Fremont, CA. You will own the product strategy for GPU workstations, servers, racks, and software, coordinating with hardware partners and internal teams across engineering, sales, and marketing.

The role requires deep knowledge of NVIDIA/AMD platforms, pricing, lifecycle management, and go-to-market execution. You’ll translate customer workloads into deployable AI/HPC solutions and help shape the portfolio in a