Top Senior Level QA Engineer Jobs in Portland, OR

The Senior Data Platform Engineer will collaborate in a team to maintain data management systems, develop and test applications, and perform database design. Responsibilities include creating efficient code, preparing test plans, and resolving complex data issues while leading junior team members and providing technical direction.

This role involves designing and implementing high-performance, low power CPU subsystems. Responsibilities include driving micro-architecture development, implementing in RTL, optimizing for performance, and collaborating with verification and physical design teams. The candidate will also support hardware engineering activities and develop tools related to design processes.

The Staff Controls Engineer will design complex automated systems, utilize LabView and other programming languages, and integrate various components like PLCs, HMIs, and robots. Responsibilities include software development, hardware design, troubleshooting, and leading project teams.

The Sr. Controls Software Engineer designs, develops, and implements advanced PLC control systems for automation equipment, leads programming teams, and collaborates on cutting-edge automation solutions, while mentoring and maintaining project timelines and specifications.

The role involves analyzing workload performance, developing performance models, and validating performance in both pre-silicon and post-silicon stages. Collaboration with software engineers and hardware architects is essential to innovate and improve system performance in the rapidly evolving AI field.

The Cloud Operations Engineer will manage large-scale AWS infrastructure, automate processes, instrument APM tracing, build CI/CD pipelines, and optimize current architectures for the Linux Foundation's LFX products. The focus will be on infrastructure as code and cloud native tools.

As a Forward Deployed AI Engineer at Skypoint, you will design scalable solutions using the Skypoint AI platform and implement data integrations. Key responsibilities include managing AI applications, ensuring alignment with business objectives, and utilizing advanced data modeling techniques. Strong project management and communication skills are essential for success in this role.