| Urgent hiring for AI Systems Engineer at San Jose, California, USA |
| Email: [email protected] |
| From: padmavathi, Yochana IT solutions [email protected] Reply to: [email protected] Hello, I hope you are doing great. This is Padmavathi from Yochana IT Solutions, we have an urgent requirement with one of our clients, please go through the requirement below and let me know your interest. You can forward this opportunity to your friends or colleagues; so that we can help someone who may be desperately looking for opportunities. I sincerely appreciate your time Role: AI Systems Engineer Location: San Jose, CA ( Onsite from Day 1) Job Overview: We are seeking an AI Systems Engineer to join our IT compute platforms engineering team. The AI Systems Engineer is responsible for the design, development, and administration of High-Performance Computing (HPC) infrastructure, GPU clusters, and AI workload schedulers. ABOUT YOU: You have a passion for learning. You are passionate about the field of large-scale distributed computing in AI and HPC workloads. You take responsibility for end-to-end outcomes of your efforts. You want to build scalable and highly performant HPC/AI/Data services with hardware, software, people and processes. You have a curiosity to learn and improve scalable HPC systems. You have significant experience in working across a globally distributed organization. Responsibilities: 1. Develop, implement, and maintain GPU-based clusters of 10 to 1000 nodes, ensuring optimal performance and availability. 2. Administer ML/AI platforms Distributed ML services, LLMs, Vector-DB and AI inferencing, by managing deployments, resource allocation, monitoring, and security. 3. Collaborate with cross-functional teams to address AI infrastructure requirements, support AI-related projects, and provide technical expertise. 4. Monitor and evaluate the performance of AI systems and clusters, ensuring that they adhere to industry best practices and meet company standards. 5. Compile reports, document procedures, and publish recommendations for improving AI infrastructure and solutions. 6. Use AI/ML to continuously improve internal processes and tools that are used in end-to-end delivery of your services in this team Experience and Qualifications: 1. 4+ years of experience in HPC infrastructure engineering for AI/HPC domain 2. 2+ years of experience managing GPU clusters optimizing GPU-based services/tools/software 3. Experience in creating web services with HPC backend (like AI) 4. Proficiency in RoCEv2, K8s, KVM, Ubuntu, Python, Shell, Go, Rust, GPU drivers, and Cluster interconnect with 200G/400G networking. 5. Demonstrated experience with AI workload schedulers and allocation optimization. 6. Strong organizational, problem-solving, and troubleshooting skills, with the ability to manage multiple projects simultaneously. 7. Excellent verbal and written communication skills, with the ability to collaborate effectively with team members and stakeholders at all levels of the organization. Thanks & Regards, Padmavathi Vindeepu, Resource Specialist, Farmington Hills, MI, Email Id: [email protected] https://www.linkedin.com/in/padmavathi-vindeepu-25b540261/ Keywords: artificial intelligence machine learning database information technology golang California Idaho Michigan |
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| Fri Dec 08 00:31:00 UTC 2023 |