Top Senior Level Software Engineer Jobs in Seattle, WA

The Sr. R&D Engineer develops prototype software solutions utilizing emerging AI training techniques, collaborates with engineers and researchers to create hardware and software solutions, troubleshoots issues, prepares technical documentation, and leads projects to drive innovation in the retail technology space.

As a Staff Machine Learning Engineer, you will design, build, and productionize machine learning models to tackle various business challenges. Collaborating with product and engineering teams, you will focus on data processing, improving service performance, and sharing knowledge through discussions and presentations.

As a Staff Software Engineer at Huntress, you will lead a feature delivery team in designing, developing, and releasing software for the Huntress Security Platform. You'll oversee software system design, maintain coding standards, mentor junior engineers, and stay updated with emerging technologies.

The Staff Software Engineer at IonQ will lead the design, development, and improvement of the software components for their quantum computing systems. Responsibilities include maintaining high quality through reviews, mentoring, and improving processes, while collaborating with interdisciplinary teams.

As a Software Engineering Manager, you will lead a team of engineers, oversee project completion, collaborate with product teams, and guide engineering culture and best practices. This role requires hands-on leadership with a focus on developing high-performance systems and facilitating teamwork.

As a Sr. Electrical Engineer at Carbon Robotics, you will design and implement PCB electrical systems, collaborate with engineering teams, troubleshoot, prototype, and oversee project planning and problem-solving efforts. Your role also includes hands-on debugging and providing manufacturing support while ensuring reliable and safe products for customers.

Senior AI Engineer responsible for training and tuning models using Deep Learning Machine Learning Models, Large Language Models, data engineering, and evaluation frameworks. Working on optimizing networks to better serve applications with a highly novel approach.