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The Software Engineer will develop and validate wireless features across access points, controllers, and cloud-managed platforms using C/C++ and Python. This role involves full-stack development, including feature implementation, test automation, and system debugging.
Cisco is seeking a junior UI/Full Stack developer to build features for policy and vulnerability management within the Secure Workload team. The role involves working with modern web technologies and backend languages to support cloud-native infrastructure security.
This role involves full-stack software development for Cisco's Customer Experience platform, focusing on cloud-native technologies and the integration of AI/ML features. Engineers will build scalable systems, manage CI/CD pipelines, and collaborate across teams to deliver high-quality, secure software solutions.
Lead Solutions Engineering teams across APJC at Cisco, aligning multi-architecture solutions with customer priorities and driving technical sales strategy, booking growth, and partner-led demand.
This role involves developing software for industrial IoT networking devices like routers and gateways using C and Linux-based operating systems. You will work closely with hardware, analyze new technologies, and solve complex system-level issues.
Develops moderately complex software for semiconductor equipment, designing reusable modules, debugging, and collaborating with customers to analyze requirements and resolve issues.
Designs and delivers Microsoft 365–based workplace solutions for large enterprises, focusing on security, governance, and AI-enabled collaboration tools like Teams and SharePoint.
Own and modernize CI/CD pipelines and cloud-native platforms using Azure Pipelines, AWS, Kubernetes, and Terraform to improve reliability, security, and developer experience.
Maintains and develops ABB’s DCS software (800xA controller tool and Sattline workstations), troubleshooting global customer issues and managing software components through full product lifecycle (coding, testing, docs).
The Project Manager will lead cross-functional development projects for Automated Optical Inspection (AOI) equipment and software, managing the end-to-end phase-gate process from concept to release.
The Data Scientist will design and implement optimization models and machine learning algorithms to solve complex global supply chain challenges. The role involves using Python or R, optimization libraries, and SQL to transform data into actionable insights for procurement, planning, and logistics.
The Post-Doctoral Researcher will design, model, and simulate electronic and photonic devices for advanced packaging applications. This role involves laboratory-based experimental validation and collaboration on EU and industry-funded projects in a deep-tech research environment.
The Post-Doctoral Researcher will design, model, and experimentally validate optical devices and systems for advanced packaging applications. This role involves working on interdisciplinary projects in photonics and semiconductor integration to support fields like AI, quantum technologies, and communications.
Oversees Medius AP automation platform implementation, drives automation improvements, and ensures seamless adoption across business/operations teams while managing stakeholders and documentation.
The Lead Analyst will manage and mature the Third-Party Risk Management (TPRM) and enterprise risk programs at OutSystems. This role involves defining risk strategies, ensuring audit readiness, and collaborating across departments to integrate security requirements into vendor and business processes.
The Senior Platform Technical Analyst oversees the architecture, implementation, and governance of Veeva, Salesforce, and AWS platforms within a pharmaceutical context. The role involves leading global projects, driving AI-native workflows, and ensuring system performance and security across a multi-vendor environment.
This intern role involves developing and performing tests to validate the robustness and performance of NVIDIA's deep learning software stack and GPU infrastructure. The intern will work with AI-powered tools to automate testing, triage issues, and improve workflows for various AI product teams.
Develops and maintains full-stack web platforms for CUDA test analysis, integrating AI/ML features like LLM-powered diagnostics and test automation for NVIDIA’s AI and ARM-based products.
Research and develop techniques to GPU-accelerate high-performance databases, ETL, and data analytics applications at NVIDIA, working with CUDA, C/C++, and GPU architecture optimization.
Develops and integrates SONiC open-source networking features for NVIDIA’s high-speed AI data center hardware, collaborating with global teams to design, code, and deploy production-grade networking solutions.
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