Responsible for Infrastructure & Data Center Architect/Lead.
Provide technical leadership and oversee / maintain data center operations for genomic workloads requiring HPC, Imaging, and AI-Large Language Models (LLM).
Architect, design, develop and implement enterprise and cloud-based infrastructure and platform solutions.
GovCIO transforms government IT by delivering innovative IT services and solutions. They foster a collaborative team environment and invest in their people, prioritizing continuous enhancement of the employee experience.
Design and implement advanced GPU virtualization solutions.
Manage and optimize large-scale GPU and HPC clusters.
Collaborate with data science and engineering teams to optimize AI models.
Jobgether is a company that connects job seekers with potential employers. They use AI-powered matching to ensure applications are reviewed quickly and fairly, and their system identifies top-fitting candidates for hiring companies.
Architect the Universal Edge, orchestrating compute and AI workloads across distributed, high-latency environments.
Drive the architectural roadmap for visionary initiatives, including Data Centers in Space.
Work with industry partners to co-design solutions that integrate Armada’s technology into their ecosystems.
Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited. They aim to bridge the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere.
Build and scale ML-optimized HPC infrastructure by deploying and managing Kubernetes-based GPU/TPU superclusters across multiple clouds.
Optimize for AI/ML training by collaborating with cloud providers to fine-tune infrastructure for cost efficiency, reliability, and performance.
Troubleshoot and resolve complex issues and proactively identify infrastructure bottlenecks, performance degradation, and system failures.
Cohere's mission is to scale intelligence to serve humanity by training and deploying frontier models for developers and enterprises who are building AI systems. The company is composed of researchers, engineers, and designers passionate about their craft and believes that a diverse range of perspectives is a requirement for building great products.
Own deployment engineering projects, leading the technical execution of Parloa’s deployments inside large, complex enterprise environments.
Design for scale and resilience, architecting deployment solutions that meet enterprise-grade requirements for performance, reliability, and security.
Engineer solutions where none exist, building custom extensions, integrations, and configurations to close product gaps and meet enterprise requirements.
Parloa is a fast-growing startup in the world of Generative AI and customer service. Their voice-first GenAI platform automates customer service with natural-sounding conversations and has over 400+ employees in Berlin, Munich, and New York.