2 дня назад
HPC Systems Engineer (AI)
136 300 - 231 700$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
HPC Systems Engineer (AI): Building scalable AI infrastructure, distributed training environments, and model-serving platforms for semiconductor inspection and metrology products with an accent on GPU computing, high-performance storage and networking, and secure orchestration. Focus on optimizing large-scale AI workloads, integrating hardware and software across clusters, and developing reliable infrastructure for model training, inference, RAG pipelines, and agentic AI systems.
Location: Milpitas, California, United States
Salary: $136,300–$231,700 annually
Company
develops inspection, measurement, and manufacturing systems for the semiconductor and broader electronics ecosystem, combining physics, data science, and AI.
What you will do
- Architect, deploy, and operate scalable, secure AI platforms, distributed training environments, and model-serving systems.
- Evaluate emerging technologies in AI compute, storage, networking, orchestration, and security, and develop reference architectures for enterprise adoption.
- Integrate AI compute infrastructure and diagnose hardware, firmware, operating system, and platform issues.
- Design high-performance storage, networking, and data pipelines for large-scale AI workloads.
- Build observability and monitoring solutions, optimize workload performance, and maintain reliability and availability targets.
- Implement security-by-design capabilities for AI workloads, intellectual property, and sensitive data while collaborating with research, engineering, IT, and security teams.
Requirements
- Degree in Computer Science, Computer Engineering, or a related field.
- 5–8 years of experience in systems engineering, DevOps, or ML infrastructure.
- Hands-on experience building AI or GPU clusters.
- Experience with Linux administration, Kubernetes, Docker, Slurm, Ray, TensorFlow, PyTorch, GPU/TPU optimization, containerization, orchestration, and programming.
- Knowledge of high-speed networking, storage systems, virtualization, server management, model training, fine-tuning, RAG pipelines, and agentic AI systems.
- Experience with Bash, Python, CI/CD, infrastructure as code, TPM-based encryption, Kubernetes RBAC, OPA/Gatekeeper, and container security.
Culture & Benefits
- Work in a Central Engineering group focused on AI, physics modeling, high-performance computing, and semiconductor product development.
- Collaborate with physicists, AI researchers, data scientists, machine learning engineers, software engineers, IT, and security teams.
- Benefits may include medical, dental, vision, life insurance, 401(k) matching, employee stock purchase, tuition reimbursement, and career development programs.
- Additional benefits include paid time off, company holidays, family care and bonding leave, wellness programs, financial planning, and student debt assistance.
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