Principal Product Manager, GPUs and AI Accelerators

Job DescriptionJob Description

Code Metal is redefining code translation for mission-critical industries. We build code-to-code translation platforms that help commercial and defense partners across AI, advanced signal processing and HPC move quickly and reliably from algorithm to silicon. Our platform accelerates deployment of performance-critical AI and Signal-Processing workloads to a host of compute platforms including GPUs and domain specific accelerator ASICs.

We are hiring a Principal-level Technical Product Manager for GPUs and AI Accelerators, who will be a critical part of defining a new programmability paradigm for our customers who build GPUs and AI Accelerators.

The Role

This is a leadership role that exists to produce a clear outcome:

Code Metal has a clear product roadmap for supporting accelerated development and deployment of AI, Image Processing and Signal Processing applications on the most commonly used GPUs (edge or data-center) and AI accelerator hardware.

You will work directly with customers, engineers, and growth leaders to identify source , target and hardware target platforms for applying Code Metal’s verified code translation technology.

Success is measured by clarity, and time-to-impact.

Responsibilities:

• Own product strategy and roadmap for code translation pipelines focused on programmability of GPUs and AI accelerator platforms.
• Define and prioritize the GPUs and variants (NPU, Vector-Processors, IPU, AI accelerators) to target for accelerated deployment
• Engage directly with commercial and defense customers to understand how they evaluate, adopt, accredit, and scale new technology
• Combine customer and end-user needs with technical feasibility to shape functional specifications, user stories, and success metrics
• Identify patterns across customer engagements that inform platform capabilities rather than one-off solutions

Requirements

• 5+ years of experience in product management, technical product leadership, or adjacent roles in the area of GPUs and AI accelerators
• Experience with common programming environments for GPUs and HPC (CUDA, ROCm, OpenCL)
• Experience with AI frameworks (PyTorch, OpenCV) and operator collections (GGML, Torch-ATen etc.)
• Excellent communication and cross-functional collaboration skills
• Strong product discovery skills including customer interviewing and problem framing
• US Citizenship required

Benefits

• Pay depends on experience, but we strive to be at the upper end of the salary range
• Health care plan with 100% premium coverage, including medical, dental, and vision.
• 401k with 5% matching.
• Paid Time Off (Uncapped Vacation, plus Sick & Public Holidays).
• Flexible hybrid or remote work arrangement.
• Relocation assistance for qualifying employees.