As a Platform Engineer on the Control Plane team, you will be an integral part of our team, focusing on image automation and efficiency enhancement. In this role, you will participate in the development of automation strategies for our virtual machine and bare metal platforms, ensuring smooth integration and deployment of top-tier applications in the marketplace. Collaborating with cross-functional teams, you'll be involved in the full lifecycle of image and application development - from brainstorming to deployment - with a focus on debugging, testing, and maintaining the highest standards of quality.
In this customer-focused role, you will be embedded with our Implementations team, where you'll be gathering custom technical requirements and directly supporting the onboarding processes for new customers & clients. Your success will be measured by delivering sustainable, efficient, and well-documented integrations that not only meet client needs but also create streamlined operational processes for our client operations teams post go-live.
QSIC is looking for a Senior Platform Engineer to manage their distributed fleet of tens of thousands of media players and smart speakers installed across APAC, North America and globally. This is a remote role for someone located in the Pacific or Mountain timezones in the US, someone who will collaborate closely with the Engineering team distributed along the east coast of Australia.
As an Industrial Solution Architect, you will design and implement scalable, data-driven solutions using Rockwell and partner technology, including Cognite Data Fusion (CDF), FactoryTalk Data Mosaix, and FactoryTalk Optix, collaborating with cross-functional teams to translate complex industrial challenges into digital solutions to drive digital transformation.
The ideal candidate will be responsible for analyzing business problems to implement and improve computer systems. You will analyze user requirements, procedures, and problems to automate or enhance existing systems and review computer system capabilities, workflow, and scheduling limitations. You may also analyze or recommend commercially available software.
Design and implement algorithms that dynamically allocate vehicles to meet time-varying passenger demand. Formulate and solve optimization problems (e.g., MILP, QP, network flow) for vehicle routing, rebalancing, and resource allocation. Develop heuristics or approximations for real-time decision-making when full optimization isn’t tractable.
This role involves growing and leading a team of engineers dedicated to adapting products to automotive and industrial requirements. Represent Canonical and Ubuntu in the industrial and automotive community and standards consortia. Ensure products support standards for processes, cyber-security, and safety concerns. Enhance delivery quality, security, and developer experience, influencing culture and strategy. Report to the Vice President of Engineering Excellence and collaborate with the Automotive Product Manager.
As a Field Application Engineer, you'll be the technical point of contact for customers in Southern Europe, helping them evaluate, adopt, and deploy our Metis AI Platform across a range of applications. Working closely with our R&D teams, you’ll guide customers through hands-on integration using our Voyager SDK, supporting the deployment of AI models and pipelines on Axelera AI hardware. This is an opportunity to make a real impact in a dynamic, fast-paced environment.
As the Field Application Engineering (FAE) Manager, you will lead a team supporting customers from evaluation to deployment of the Metis AI platform, collaborating with commercial leadership and global teams. This hybrid role requires technical leadership to solve complex challenges, build teams, and help customers unlock AI's potential at the edge.
Help solve real engineering challenges, keep systems reliable, and build the foundation that powers millions of websites around the world. You’ll work alongside other system, software, and network engineers - people who care deeply about performance, simplicity, and resilience. Design, run, and evolve systems that don’t just work, but stay fast and dependable under pressure.