科技職缺
職缺列表
PCB Design EDA and AI Engineer - New College Graduate 2027
PCB design automation engineer building EDA tools and AI-driven workflows for NVIDIA's next-generation AI computing platforms, using Python, Cadence, GitLab, and CI/CD pipelines in close collaboration with global hardware teams.
Senior Software Engineer, Cloud Platform
Senior engineer at NVIDIA building scalable cloud infrastructure services for accelerated compute, owning end-to-end code for multi-tenant hardware/network provisioning and systems automation.
Senior Software Engineer - AI Networking
Senior SWE building cutting-edge AI networking software and POCs alongside NVIDIA and top customer R&D teams — develops C/C++ code on Linux (user/kernel), spanning networking protocols (L2/L3, VLAN, BGP, OSPF), RDMA/DPDK/SONiC, and AI infrastructure stacks (NCCL, vLLM, SGlang).
Senior Network Architect, Advanced Packaging
Senior architect at NVIDIA designing advanced packaging solutions for next-generation InfiniBand, NVL, and Ethernet switches powering large radix compute clusters and AI supercomputers. Collaborates across architecture, logic, hardware, and system teams to deliver high-performance interconnect packaging.
Sr. Product Designer – Study Designer at Evinova
Designs end-to-end UX and UI for Evinova’s AI-enabled clinical study solution, from discovery and rapid prototyping through testing and delivery. The role translates complex scientific workflows into accessible, scalable experiences using Figma, Claude Code, and established design systems.
Generative AI Cloud Operations Engineer - Evinova
Operate and scale production Generative AI systems (LLM agents, RAG pipelines, multi-agent orchestration) for a clinical-trial SaaS on AWS, partnering with AI engineers to move research into production-grade deployments.
Senior Backend Software Engineer
Senior backend engineer on HPE's AIOps team building scalable, high-performance backend services and distributed data pipelines that automate networking workflows using Python, PySpark, Kafka, Kubernetes, and ML infrastructure on AWS/Azure/GCP.