Sr. Technology Enablement Engineer

About the role

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale-faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.

Group/Division KLA's IT group supports business growth and productivity by connecting people, process and technology around the world. We work to improve the technology that drives our business to thrive and focus on empowering employee use of technology. This integrated approach to customer service, creativity and technological excellence enhances employee productivity, business analytics and process excellence.

What You'll Do

In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. We are seeking a highly skilled Sr. Software Engineer with specialized expertise Design, build, and operate production-grade AI infrastructure for large-scale GPU training and inference. The role owns cluster architecture from ground zero, distributed workload orchestration, accelerator management, performance engineering, and open-source integration. TPU experience is optional.

Key Responsibilities

• Design and deploy scalable, multi-node GPU clusters on Kubernetes, including compute, networking, storage, scheduling, security, and observability.
• Build distributed training and reinforcement learning platforms using Ray and NVIDIA NeMo RL, supporting frameworks such as PyTorch and JAX.
• Deploy and optimize high-throughput LLM inference using vLLM, SGLang, and NVIDIA Dynamo.

• Implement GPU scheduling, quotas, isolation, autoscaling, health monitoring, and capacity management for multi-tenant environments.
• Profile and troubleshoot GPU workloads using NVIDIA Nsight Systems, Nsight Compute, DCGM, CUDA, NCCL, and related diagnostics.
• Automate cluster provisioning, upgrades, workload deployment, and operational recovery through infrastructure-as-code and GitOps practices.

Contribute to or actively participate in relevant open-source AI infrastructure communities and bring upstream best practices into the platform.

Minimum Qualifications

Bachelor's Degree and eight (8) years of Software Engineering experience Four (4) years in software, cloud, platform, HPC, or systems engineering, including two (2) years supporting distributed AI/ML workloads. Proven hands-on experience building GPU clusters from the ground up and operating them at production scale.

• Deep Kubernetes expertise, including operators, CRDs, Helm, networking, storage, scheduling, and cluster lifecycle management.
• Production experience with Ray and at least two of the following: NVIDIA NeMo RL, vLLM, SGLang, or NVIDIA Dynamo.
• Strong knowledge of NVIDIA GPUs, CUDA, NCCL, GPU Operator, DCGM, MIG, RDMA, and multi-node collective communication.

• Experience debugging training and inference performance across GPU, CPU, memory, network, and storage layers.
• Proficiency in Python and Linux, plus experience with containers, CI/CD, GitOps, infrastructure-as-code, and platform observability.
• Demonstrated open-source contribution, maintainership, or meaningful participation in an AI infrastructure project.

Pay and benefits

Experience with Google TPUs and TPU-oriented frameworks or distributed workloads. Experience with large language model training, fine-tuning, RLHF or agentic reinforcement learning. Knowledge of TensorRT-LLM, Triton Inference Server, DeepSpeed, Megatron-LM, or similar performance-oriented frameworks. Experience operating secure, multi-tenant AI platforms in enterprise or regulated environments.

About KLA We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.

Total Rewards Base Pay Range: $129,600.00 - $190,067.00 Annually Primary Location: USA-MI-Ann Arbor-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training.

We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. Use of AI Statement At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking.

Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset. Please contact us at or at to request accommodation.