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Nice to Have
- As an AI Infrastructure Engineer, you will research, evaluate, and develop next-generation hardware and software technologies that enable large-scale AI and machine learning workloads across KLA.
- You will help design and build the infrastructure that powers model training, inference, networking, storage, data protection, and emerging agentic AI systems.
- This role sits at the intersection of systems engineering, AI platform development, MLOps, and DevOps, ensuring that AI teams have reliable, scalable, high-performance infrastructure to develop, train, deploy, and operate AI solutions.
- You will also define and develop reference architectures and platform standards that can be embraced across KLA products and engineering organizations, enabling secure, cost-effective, and repeatable AI infrastructure deployments.
- Responsibilities Design & Build AI Infrastructure: Architect, deploy, and operate scalable, secure, and cost-effective AI platforms, distributed training environments, and model serving systems.
- Research & Innovation: Evaluate emerging technologies in AI infrastructure, compute, storage, networking, orchestration, and security, and develop reference designs for enterprise adoption.
- Hardware & Software Orchestration: Bring up, integrate, and lead AI compute infrastructure while diagnosing hardware, firmware, operating system, and platform issues.
- Data & Storage Management: Design and maintain high-performance storage, networking, and data pipelines supporting large-scale AI workloads.
- Performance & Reliability: Develop observability and monitoring solutions, optimize AI workload performance, and ensure infrastructure meets reliability and availability targets.
- Security & Compliance: Implement security-by-design principles including encryption, identity and access management, secrets management, and AI data security.
- Contribute to the architecture and implementation capabilities for protecting AI workloads, intellectual property, and sensitive data at KLA.
- Collaboration: Partner with AI researchers, data scientists, software engineers, IT, and security teams to align platform capabilities with business and product needs.
- Tools you will use in the role: Technical Skills : Linux administration, Kubernetes/Docker, Slurm, Ray, TensorFlow, PyTorch, GPU/TPU optimization, containerization, orchestration, and programming skills.
- Infrastructure Knowledge : High speed networking, storage systems, virtualization, and server management.
- AI/ML Integration : Understanding of model training, fine‑tuning, RAG pipelines, and agentic AI systems Automation & Scripting : Bash, Python, CI/CD pipelines, infrastructure as code (IaC).
- Security : TPM-based encryption, Kubernetes security (RBAC, OPA/Gatekeeper), container security.
Requirements
- Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years Base Pay Range: $136,300.00 - $231,700.00 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 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.
- We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
- Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.
- Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees.
- KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment.
- Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA .
- Please ensure that you have searched KLA’s Careers website for legitimate job postings.
- KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers.
- If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee.
- We take your privacy very seriously and confidentially handle your information.
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Specialisation
Open roles at KLA Corporation
920 positions
Job ID
/job/Milpitas-CA/AI-Platform-Engineer_2638542
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