AI Infrastructure + GPU/HPC Infrastructure : San Jose, California (Onsite/Hybrid)

[Deepika Dua]

Greetings,

 

Please carefully read the Job Description below, and if you would like to pursue this opportunity, please email me an updated MS Word version of your resume to Deep...@VBeyond.com at your earliest convenience.  If you're not interested feel free to send me your resume and let me know what type of positions, I can help you with. I appreciate your time and look forward to hearing from you. 

 

Please share 13+ Years experience candidates

Include contact details and the LinkedIn profile link of the candidate in the email.

Mention Candidate current location & work Authorization/Visa status of the candidate

 

Experience:

10+ years in a senior technical role.

Minimum 5 years building and operating High-Performance Computing (HPC) or AI Infrastructure.

Proven experience as a Principal Engineer or Senior Staff Engineer supporting enterprise AI platforms.

Mandatory Skills

• Enterprise AI infrastructure architecture and operations.
• NVIDIA GPU architecture, CUDA, and cuDNN.
• Multi-GPU and multi-node training/inference environments.
• Building and managing on-premises GPU clusters.
• Azure OpenAI Services.
• Google Cloud Platform (GCP) AI services (Gemini).
• GPU compute, storage, networking, and AI infrastructure optimization.
• Docker (image management, containerization, troubleshooting).
• Kubernetes.
• Deep Learning frameworks:

PyTorch

TensorFlow

LLM deployment and optimization.

High-performance inference frameworks:

vLLM

TGI (Text Generation Inference)

TensorRT-LLM

AI model optimization techniques:

Quantization

Distillation

AI Agent / Agentic AI workflow development.

LSF Cluster Administration.

Linux System Administration (RHEL preferred).

Python, Bash, or Perl scripting.

LDAP / Active Directory integration.

CI/CD for AI model deployment.

Monitoring, automation, and performance tuning.

Strong troubleshooting, communication, and cross-functional collaboration skills.

Preferred Skills

• AI workload profiling and GPU performance tuning (memory, GPU, I/O).
• Slurm scheduler experience.
• LSF Docker integration.
• macOS / Apple Silicon administration and troubleshooting.
• Production-scale AI infrastructure support.
• Security and governance for enterprise AI platforms.

Responsibilities

• Architect and lead Cadence's next-generation AI infrastructure supporting Agentic AI initiatives.
• Design and implement scalable GPU clusters, storage, and networking.
• Manage Azure OpenAI and GCP AI services, including secure access, usage monitoring, and cost optimization.
• Install, configure, optimize, and troubleshoot enterprise GPU clusters.
• Administer LSF production environments and Docker-integrated workloads.
• Build and operate the complete AI technology stack using Docker, Kubernetes, PyTorch, TensorFlow, and CI/CD pipelines.
• Deploy, optimize, and serve Large Language Models (LLMs) using high-performance inference frameworks.
• Design and develop production-grade Agentic AI workflows integrating LLMs with APIs, databases, and enterprise tools.
• Develop automation using Python, Bash, or Perl for deployment, monitoring, and infrastructure management.
• Implement monitoring for system health, GPU utilization, container performance, and job execution.
• Serve as the highest technical escalation point for AI infrastructure issues.
• Mentor engineering teams on AI infrastructure best practices, scalability, and operational excellence.
• Establish AI platform security standards and ensure compliance across enterprise AI environments.

 

 

 

Regards,
Deepika Dua

VBeyond Corporation

https://www.linkedin.com/in/deepika-dua-018459166/

E: Deep...@vbeyond.com | www.vbeyond.com

390 Amwell Road, Suite # 107, Hillsborough, NJ 08844

 

Note – VBeyond is fully committed to Diversity and Equal Employment Opportunity.

 

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[Alfaz]

Consultant Submission Details:         

1. Gen AI & LLM / ML & Statistical Modeling |RAG | Data Engineering / GCP  ::  

Python, PySpark, SQL, BigQuery, Dataflow, Vertex AI, GCS, Pub/Sub, Airflow, LangChain, OpenAI APIs, FAISS, Pinecone, MLflow,

Docker, CI/CD, Kafka, Snowflake, Tableau, Power BI, Looker, Scikit-learn, PyTorch

 

Name:                         Apurva Vijaykumar Raje
Date of Birth :               April 1995
Relocation:                    Open
Current Location:         Baltimore, Maryland
Face to face :                Yes
Visa:                               H1B
Total Exp:                      9 years
Last 4 Digits of SSN:    Will be provided
Passport Number:      Will be provided
LinkedIn Profile:          Will be provided

 

2. Python | Generative AI (GenAI) | AWS Bedrock | LangChain |RAG (Retrieval-Augmented Generation) | AI Agent / Multi-Agent Orchestration | FastAPI | LLMOps | AWS Bedrock |

Microservices Architecture | AWS Cloud | Kafka | Kubernetes (EKS/AKS) | Docker | Prompt Engineering | REST API Development

 

Name:                         Prudhvi Reddy Thondapu

Location:                       Webster City, Iowa
Relocate:                       Yes
Last 4 Digits of SSN:    Will be provided
Passport Number:      Will be provided
LinkedIn Profile:          Will be provided

Work Authorization: H1B
Total Experience:        8+ Years

 

Thanks & Regards

 

Alfaz Karaami

TEK TREE LLC

Email:      al...@tektreeinc.com

Phone:     302-248-8015

LinkedIn : https://www.linkedin.com/in/alfazkaraami/

Website:  www.tektreeinc.com

Address:  1106 Drummond Plaza

                Newark, DE 19711