Base Pay Range: $180,700.00 - $307,200.00 Annually
Primary Location: USA-CA-Milpitas-KLA
KLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below.
Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. KLA focuses more than average on innovation and invests 15% of sales back into R&D.
Group/Division
With over 40 years of semiconductor process control experience, KLA's Global Products Group (GPG) is responsible for creating all of KLA’s metrology and inspection products. The LS-SWIFT Division provides patterned wafer inspection systems for high-volume semiconductor manufacturing.
Job Description/Preferred Qualifications
Key Responsibilities:
Technical Leadership:
- Lead a team of engineers and system architects to develop the platform for DL training and inference.
AI Infrastructure Design and Optimization:
- Collaborate with hardware and software teams to design and optimize AI infrastructure.
- Ensure seamless integration of AI workloads with existing HPC clusters.
GPU Cluster Management and Scalability:
- Oversee the management of GPU-based clusters.
- Scale AI infrastructure to handle large-scale training and inferencing workloads.
Performance Tuning and Benchmarking:
- Drive performance improvements by analyzing bottlenecks and optimizing system components.
- Benchmark AI models and algorithms on HPC clusters.
Collaboration and Communication:
- Work closely with product managers, researchers, and stakeholders to align AI initiatives with business goals.
- Communicate technical progress, risks, and opportunities to senior leadership.
Minimum Qualifications:
- Proven track record in managing engineering teams, preferably in AI, HPC, or related fields.
- Familiarity with AI frameworks (TensorFlow, PyTorch, etc.).
- Strong understanding of GPU architectures, CUDA programming, and parallel computing.
- Knowledge of containerization (Docker, Kubernetes) and cloud-based AI deployments.
- Ability to mentor and develop team members.
- Excellent decision-making, problem-solving, and conflict resolution skills.
- Effective communication across technical and non-technical stakeholders.
- Experience presenting technical concepts to executive leadership.
KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law.
#J-18808-Ljbffr