Top Hardware Engineer Jobs in Philadelphia, PA

As a Senior QA Engineer for Veeva's Data Platform, you'll lead the development of the QA framework and oversee end-to-end quality assurance. Your responsibilities will include creating test cases for ETL applications, automating tests, analyzing data accuracy and completeness, and ensuring compliance with business rules while collaborating in an Agile environment.

The Salesforce Engineer is responsible for designing, developing, and maintaining web solutions, particularly within the Equipment Finance Development Team. The role involves systems analysis, front-end development using Javascript, HTML, and CSS, and collaboration with technology staff. This position also includes project management responsibilities and working with clients to address application issues.

The RF Engineer will lead a team to develop innovative analog and RF circuit designs for lighting, shading, and energy control systems. Responsibilities include managing PCB design, leading RF antenna development, collaborating across disciplines, and ensuring high quality in both individual and team outputs.

The Quality Engineer will oversee quality control planning and maintenance of quality standards for products. Responsibilities include conducting quality audits, ensuring product compliance, and leading quality improvement activities in coordination with management and other departments while achieving customer satisfaction and continuous improvement goals.

The Senior Software Engineer will develop and maintain data-driven web applications using ColdFusion, JavaScript, and SQL. Responsibilities include debugging, adding new features, troubleshooting issues, and collaborating with project managers and QA analysts. The role involves managing a small team and contributing technical expertise throughout project lifecycles.

As a Staff Software Developer, you will develop and optimize the Pricing Engine using Java and the Quarkus framework, and manage Dartboard using Elixir. Responsibilities include enhancing services, solving complex technical issues, navigating regulatory systems, collaborating with teams, and providing mentorship. You'll also influence technical vision and architectural strategy across the engineering organization.

As an ML DevOps Engineer, you will optimize and automate the deployment pipeline for real-time machine learning models, enhancing model reliability and integration with the Perpay app while collaborating with Data Science and Engineering teams. You'll also improve data infrastructure efficiency using your DevOps expertise.