AI Senior Systems Engineer

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.

• AI Infrastructure Architecture & Strategy
• Lead the design and implementation of next‑generation AI infrastructure to support Agentic AI initiatives.
• Define technical strategy for on‑premise GPU clusters, storage solutions, and networking to ensure optimal performance, scalability, and reliability for all AI workloads.
• Cloud AI Service Integration
• Support and secure the use of public cloud AI services, including Azure OpenAI and Google Cloud Platform (GCP) services like Gemini.
• Manage secure access, monitor usage, track billing for cost‑effectiveness, and provide hands‑on experience with compute, GPUs, and AI services on both GCP and Azure.
• GPU Cluster Management
• Configure, install, and optimize GPU server clusters, troubleshoot hardware and software, tune performance, and implement best practices for cluster utilization and resource management.
• Administer job schedulers such as LSF in a production environment and integrate with Docker for containerized job submission.
• Full‑Stack AI Tech Stack Development & Operations
• Architect and deploy scalable AI tech stacks, including deep learning frameworks (PyTorch, Tensor Flow), Docker, Kubernetes, and CI/CD pipelines for AI model development.
• Advanced LLM Deployment & Optimization
• Lead the deployment, serving, and optimization of Large Language Models using model quantization, distillation, and high‑performance serving frameworks (vLLM, TGI, TensorRT‑LLM).
• Agentic AI Workflow & Service Engineering
• Architect and build production‑grade Agentic AI workflows and services, integrating LLMs with external tools, APIs, and databases.
• Mentor other engineers on building robust and scalable AI agent applications.
• Automation & Monitoring
• Develop and maintain automation scripts using Python, Bash, or Perl to streamline system maintenance, deployment, and reporting.
• Implement and manage monitoring solutions for system health, GPU utilization, container performance, and job statuses.
• AI Systems Support & Mentorship
• Act as the final escalation point for complex technical issues related to AI infrastructure.
• Serve as a technical leader and mentor to other engineers, providing guidance on best practices, performance tuning, and operational excellence.
• Security and Compliance
• Develop and implement security best practices for AI systems and data, ensuring compliance with relevant regulations and protecting intellectual property.

• 10+ 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, CUDA, and cuDNN.
• Extensive experience with multi‑GPU and multi‑node training and inference.
• Proven experience managing access, usage, and billing for Azure OpenAI and GCP services.
• Extensive hands‑on experience with Docker (image management, container orchestration, troubleshooting).
• Proficiency in scripting languages such as Python, Bash, or Perl.
• Deep expertise in Linux system administration (RHEL preferred), networking, storage, and performance tuning.
• Familiarity with user authentication and integration via LDAP or Active Directory.
• Strong problem‑solving and communication skills with the ability to work in a multi‑platform, cross‑functional, geographically distributed team.

• Understanding of AI job profiling and tuning (memory, GPU, I/O).
• Experience administering LSF clusters in production or research environments.
• Familiarity with other job schedulers such as Slurm.
• Experience with LSF Docker integration and container image job submission.
• Experience with macOS/Apple Silicon system admin tasks and troubleshooting.

The annual salary range for California is $136,500 to…