Connecting Odds
Cadence

Sr IT Architect

Cadence
San Jose, CAPosted 22 days agoDiscoveredMatch locked
5+ years expData and Analytics

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

We are seeking a highly skilled and experienced AI Systems Engineer to join our team. This is a hands-on, senior individual contributor role that will be pivotal in leading the development, operations, and support of our entire AI infrastructure. You will be responsible for the entire lifecycle of our AI systems, from architecting and building high-performance GPU clusters to deploying and optimizing our most advanced AI models and agentic services.

Responsibilities

  • AI Infrastructure Architecture & Strategy:

Lead the design and implementation of our next-generation AI infrastructure to support our Agentic AI initiatives. You will define the technical strategy for our on-premise GPU clusters, storage solutions, and networking to ensure optimal performance, scalability, and reliability for all our AI workloads. •

Cloud AI Service Integration

Support and secure the use of public cloud AI services, including

Azure OpenAI services

and

Google Cloud Platform (GCP)

services like

Gemini

. This includes managing secure access, monitoring usage, and tracking billing to ensure cost-effectiveness. You will also have hands-on experience supporting compute, GPUs, and AI services on both GCP and Azure. •

Hands-on GPU Cluster Management

Take a leadership role in the configuration, installation, and optimization of GPU server clusters. This includes advanced troubleshooting of hardware and software, performance tuning, and implementing best practices for cluster utilization and resource management. You will be an expert in administering job schedulers like

LSF

in a production environment, including integration with

Docker

for containerized job submission. •

Full-Stack AI Tech Stack Development & Operations

Architect and deploy a robust and scalable AI tech stack. You will be responsible for the end-to-end operational lifecycle, including setting up and managing deep learning frameworks (

PyTorch

,

TensorFlow

), containerization with

Docker

and

Kubernetes

, and implementing CI/CD pipelines for AI model development. •

Advanced LLM Deployment & Optimization

Lead the deployment, serving, and optimization of Large Language Models (LLMs). You will be an expert in techniques such as model quantization, distillation, and using high-performance serving frameworks (e.g.,

vLLM

,

TGI

,

TensorRT-LLM

) to maximize inference throughput and minimize latency. •

Agentic AI Workflow & Service Engineering

Architect and build production-grade Agentic AI workflows and services. You will be responsible for the technical design and implementation of systems that integrate LLMs with external tools, APIs, and databases, and will mentor other engineers on building robust and scalable AI agent applications. •

Automation & Monitoring

Develop and maintain automation scripts using languages like

Python

,

Bash

, or

Perl

to streamline system maintenance, deployment, and reporting. Implement and manage monitoring solutions for system health, job statuses, GPU utilization, and container performance to proactively identify and resolve issues. •

AI Systems Support & Mentorship

Act as the final escalation point for the most complex technical issues related to our AI infrastructure. You will also serve as a technical leader and mentor to other engineers, providing guidance on best practices in AI systems engineering, performance tuning, and operational excellence. •

Security and Compliance

Develop and implement security best practices for our AI systems and data, ensuring compliance with relevant regulations and protecting our intellectual property.

Required Skills and Qualifications

  • 12+ years of experience in a senior technical role, with at least 5 years focused on building and operating high-performance computing or AI infrastructure. Proven track record as a Principal or Senior Staff Engineer.
  • Expert-level knowledge of

NVIDIA GPU architecture

and technologies like

CUDA

and

cuDNN

. Extensive experience with multi-GPU and multi-node training and inference.

  • Proven experience with public cloud AI services, specifically managing access, usage, and billing for

Azure OpenAI

and

Google Cloud Platform (GCP)

services.

  • Extensive hands-on experience with

Docker

: image management, container orchestration, and troubleshooting.

  • Proficiency in scripting languages such as

Python

,

Bash

, or

Perl

.

  • Deep expertise in

Linux system administration

(

RHEL

preferred), including networking, storage, and performance tuning.

  • Familiarity with user authentication and integration using systems like

LDAP

or

Active Directory

.

  • Strong problem-solving and communication skills with the ability to work in a multi-platform, cross-functional, and geographically distributed team.

Preferred/Bonus Skills

  • Understanding of AI job profiling and tuning (memory, GPU, I/O).
  • Experience administering LSF

clusters in a production or research environment. Familiarity with other job schedulers like

Slurm

is a plus.

  • Experience with

LSF Docker integration

and job submission using container images.

  • Experience with

macOS/AppleSilicon

system admin tasks and troubleshooting. The annual salary range for California is $168,000 to $312,000. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more. We're doing work that matters. Help us solve what others can't.

Not included in the source posting: about the role, what you'll do, qualifications, benefits.

Skills

artificial-intelligencegcpdockerazurellmbashperlpythonlinuxnode-jsci-cddeep-learning

Who can apply

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