Top Senior Level Hardware Engineer Jobs in Portland, OR

As a Senior Software Engineer, you will develop and maintain software systems, lead design and coding efforts, ensure security and privacy compliance, solve complex technical issues, and engage in testing and documentation while collaborating with cross-functional teams.

The Solidity Engineer will design, develop, and maintain blockchain-based solutions for a stablecoin ecosystem, focusing on smart contracts and decentralized applications. Responsibilities include integrating with financial systems, conducting audits, optimizing security and transaction speeds, and mentoring junior developers.

As a Senior Open Source Web Developer, you will design, create, and document high-performing open source solutions using PHP and Javascript. You will lead architectural decisions, collaborate with teams, conduct code reviews, and mentor others while ensuring the development team adheres to best practices and documentations.

As an Ecosystem Technical Solutions Engineer, you will engage in building the Dagger ecosystem through community engagement, partner engineering, and creating technical content. Your role includes educating users, documenting feedback, and developing strategies to enhance Dagger's capabilities while supporting integrations related to CI/CD, AI/ML, and data pipelines.

The Sr. UX Engineer will develop an enterprise-level design system focused on reusable UI components, serving as a liaison between UX and Engineering. The role involves building accessible components using React, facilitating collaboration across teams, and contributing to design system project planning and implementation.

As a Contract Developer, you will work on site building, custom front end and theme development for Drupal, custom plugins for WordPress, and participate in peer reviews and client meetings to enhance the website development process.

The MLOps Engineer will be responsible for training, deploying, and monitoring machine learning models using AWS technologies. They will collaborate with Data Engineers and Data Scientists to develop pipelines and build testing frameworks, leveraging tools like Apache Airflow and Docker. They should have deep knowledge of machine learning frameworks and AWS services for effective model evaluation and implementation.