Top QA Engineer Jobs in Portland, OR

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.

The Civil Engineer (Engineer-in-Training) will provide design engineering for various projects, performing tasks like street and utility design, hydrology calculations, and Civil 3D drafting. The role involves effective communication with planning staff and managing multiple deadlines, with an emphasis on quality work within budgets.

The Embedded Systems Engineer will collaborate with the engineering team to design and develop products, manage prototypes, improve existing products, and ensure compliance with safety standards. Duties include testing, project coordination, and working closely with stakeholders to support product development.

Support system integration and development of Infotainment and feature Truck App Portal. Collaborate with global teams and stakeholders to meet project milestones and deliver on time. Manage work packages, schedules, and coordinate with suppliers. Must have 1-3 years of system integration engineering experience and a Bachelor's degree in Electrical Engineering or Computer Science.

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.