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Lead Digital Architect at Caterpillar builds and maintains an enterprise reporting platform, combining full-stack development (Python/Django, React) with cloud operations (Azure) to deliver scalable, secure solutions for internal finance teams.
Designs and optimizes enterprise data models to reduce redundancy and improve information management, collaborating with product teams and analysts to align technical solutions with business needs.
Supports Marvell’s networking hardware (switches, PHYs, SoCs) by troubleshooting customer issues, designing solutions, and training teams—bridging Avnet’s FAEs and Marvell’s engineering.
Designs, tests, and programs critical applications for government clients, automating CI/CD pipelines and cloud-native infrastructure to streamline software delivery and reduce manual tasks.
Designs and leads cloud and network architectures for U.S. Navy infrastructure, modernizing legacy systems, migrating to cloud, and integrating advanced tech while mentoring junior architects.
Lead the design and development of scalable, AI-driven backend services using Python (FastAPI) and ReactJS frontends, with PostgreSQL and GCP/AWS cloud deployments.
Designs, manages, and optimizes large-scale HPC/AI hardware infrastructure (GPU/CPU nodes) for NorthMark’s cloud compute fleet, focusing on provisioning, firmware lifecycle, troubleshooting, and automation to ensure peak performance and availability.
Lead the Security Operations function end to end across five domains—Incident Response, Vulnerability Management, Threat Intelligence, GRC/Privacy, and Offensive Security—for an HPC and cloud infrastructure company.
Senior Solution Architect at Red Hat in São Paulo, focusing on designing hybrid cloud and Kubernetes-based solutions for customers. Daily work involves technical presentations, solution demonstrations, and driving business value through Red Hat’s hybrid cloud offerings, particularly OpenShift.
The IS Security Officer 2 ensures classified information systems comply with security policies, monitors system environments, and handles incident response, physical security, and training. Core focus: RMF, vulnerability management, and security documentation.
The AI Engineer will design, develop, and deploy Generative AI solutions, including chatbots, copilots, and RAG-based applications using Azure, Python, and various AI frameworks. The role involves integrating AI services into enterprise applications and maintaining MLOps workflows.
Leads the design of advanced analog circuits for high-speed clocking and I/O PHY solutions, owning the full lifecycle from specification to post-silicon validation. Focuses on PLL/DLL/CDR and transmitter/receiver circuits for chip-to-chip interconnects, ensuring performance and yield in sophisticated CMOS processes.
Leads chip design and integration for high-speed interface innovations, owning RTL development, timing closure, synthesis, verification, and tape-out processes in a small, senior team focused on PHY-adjacent digital design.
An internship designing RTL for HBM SoC logic die, collaborating with architecture/verification teams to implement high-performance SoC solutions and integrating AI-driven tools into workflows.
The Senior Deep Learning Engineer will design and build evaluation infrastructure for NVIDIA's frontier AI models, including LLMs and agentic systems. This role involves developing novel benchmarking methodologies and collaborating with research teams to guide model releases using large-scale GPU clusters.
The Senior Technical Program Manager will lead large-scale engineering programs for NVIDIA's DGX Cloud, focusing on AI capacity enablement, infrastructure bring-up, and cross-functional process management. The role involves managing roadmaps, driving execution across engineering teams, and communicating program status to executive leadership.
The Senior Staff Site Reliability Engineer will lead the architecture and development of NVIDIA's enterprise AI runtime platform, focusing on Kubernetes-based systems for deploying and scaling AI applications and databases. The role involves building control-plane services, optimizing GPU scheduling, and establishing standards for high-performance AI inference infrastructure.
Lead multi-functional teams (OEM/ODM, network/storage vendors, software partners) to deliver next-gen AI Storage Computing Platforms at NVIDIA, managing the full HW/SW integration lifecycle from proof-of-concept through production deployment.
Senior Product Manager leading NVIDIA's AI Factory SDN stack (OVN, OVS, OVN-Kubernetes) — setting roadmaps, guiding upstream open-source development, and coordinating across DPU, fabric, and virtualization teams for GPU-accelerated data center networking.
Intern on NVIDIA's Deep Learning Software QA team building and maintaining test automation infrastructure for the AI software stack across GPU computing platforms, using Python, C++, and Linux.
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