Enter a job title or keyword

Senior Director, AI Interface Architecture

Credo


Job Location:

San Jose, CA - USA

Yearly Salary: USD 230000 - 315000
Posted: 29 September 2026 (10 days ago)
Application Deadline: 27 December 2026
Vacancies: 1 Vacancy

Job Summary

Description

We are seeking a Senior Director AI Interface Architecture to solve the system-level interconnection challenges that connect XPUs (NPU/GPU/custom silicon) into working AI infrastructure. This role owns how compute elements are wired networked and orchestrated together at node rack and cluster scale so that large-scale LLM training and inference run efficiently across the platform.

Base salary range is $230000 - $315000 a year. The base salary offer will depend on factors such as education experience training skills qualifications and location. This position is also eligible for a discretionary bonus equity and a full range of medical and other benefits.

Why Credo
  • Purpose: We invest in what matters. From meaningful-future shaping projects to competitive compensation we empower you to grow your career while making a lasting impact.
  • People: Connection starts within. We collaborate celebrate wins and create an environment where everyone can do their best work.
  • Possibilities: Our belief shapes whats next. Our technology powers the most reliable and energy-efficient connections around the world and our team powers new products and markets that come next.

Requirements

Basic Qualifications
  • 15 years in systems/interconnect architecture or AI/HPC infrastructure including 5 years in a technical leadership role.
  • Solid understanding of NPU GPU and CPU architectures
  • Strong grasp of DP TP PP EP and hybrid parallelism strategies and how they drive interconnect and communication patterns.
  • Familiarity with leading open LLM architectures (e.g. Kimi Llama DeepSeek Mixtral Qwen) and their impact on system-level communication.
  • Experience solving rack- node- and cluster-scale interconnection and workload-partitioning problems.
  • Understanding of LLM deployment methods across training and inference from a networking/system-integration perspective.
  • Strong cross-functional leadership and communication skills.
  • Bachelors degree in Computer Engineering EE CS or related field required; Masters or PhD preferred.

Preferred Qualifications
  • Experience at a silicon vendor or hyperscaler solving system/network integration for accelerator hardware at scale.
  • Contributions to open-source AI infrastructure projects (Megatron-LM DeepSpeed vLLM SGLang).
  • Experience with next-gen interconnect standards (UALink UEC).


Required Experience:

Exec


About Company

Company Logo

Credo delivers high-speed, energy-efficient connectivity solutions powering AI, cloud computing, and hyperscale networks up to 1.6T.

View Profile View Profile