Top Tech Jobs & Startup Jobs

The Embedded Software Engineer develops and optimizes embedded software for motion control and communication subsystems, focusing on precision control systems and collaboration across teams.

Lead PMO for infrastructure integrations and transformations: govern program execution, maintain plans/RAID/dependency trackers, produce executive reporting, align stakeholders, run workshops, and drive issue resolution across global technology workstreams.

The role involves working with stakeholders to define goals and requirements, coordinating project delivery, and preparing documentation while ensuring timely communication and collaboration across teams.

The DevOps Engineer will maintain the software department's build systems, enhance site reliability, automate CI/CD processes, and communicate with stakeholders for system upgrades and troubleshooting.

The Sales Executive is responsible for promoting products and services, establishing client relationships, meeting sales targets, and ensuring customer satisfaction through effective communication and teamwork.

Develop software for E-beam inspection tools, write documentation, perform testing, and ensure project timelines through collaboration.

Develop software for E-beam inspection tools, design and implement software modules, document requirements, and perform testing while collaborating with teams.

As an AI Fullstack Architect, you'll design AI-driven solutions across the tech stack, focusing on backend APIs, frontend applications, and AI integration, while mentoring teams and ensuring compliance with robust standards.

Design, build, and maintain Power BI dashboards and semantic data models using Power BI and Microsoft Fabric. Optimize performance, troubleshoot dataset and refresh issues, ensure governance and data accuracy, and collaborate with stakeholders to modernize analytics platforms.

Lead governance and continuous improvement of AI operations reporting, dashboards, and KPIs. Analyze consumption, billing, cost, capacity, and performance data to produce executive and operational reports, detect anomalies, recommend actions, and support forecasting, chargeback, and data governance across AI platforms.