Top Entry Level Software Engineer Jobs in Dayton, OH

The Sales Systems Engineer serves as the primary technical resource for sales, managing the technology evaluation stage and acting as a key advisor for the Infinera product portfolio. Responsibilities include understanding customer requirements, articulating technical solutions, and establishing strong customer relationships throughout the sales cycle.

The Data Pipeline Solutions Engineer develops and deploys data solutions for customers, ensuring optimal performance of data pipelines. Responsibilities include customer development, troubleshooting pipeline issues, managing software testing processes, ensuring data quality, training neural networks, and improving deployment tooling.

As an Enterprise Sales Engineer, you will assess technical requirements, cultivate relationships with stakeholders, assist the Sales Team in evaluating Chainguard's solutions, and handle technical aspects of sales processes while representing the company at industry events.

The Website Developer is responsible for managing client accounts, ensuring client satisfaction, and developing new website builds. They will write efficient code, create website layouts, integrate back-end services, and provide maintenance and support for clients. This role also involves measuring website KPIs and collaborating with designers.

The Rotational Engineer program offers new engineering graduates a two-year development experience through three different assignments. Engineers will gain knowledge in rotating equipment, apply engineering theory, and engage in projects across various engineering processes, culminating in positions that best match their skills.

As a Software Engineer at Rinsed, you will contribute to new product development, write efficient and clean code, and collaborate with senior engineers and stakeholders. You'll play a key role in shaping the product and culture of the company while having the opportunity to impact the future of Rinsed significantly.

The Machine Learning Engineer is responsible for developing, implementing, and productizing machine learning models for business solutions. Key tasks include model deployment, data preparation, collaboration with product teams, optimization, monitoring, and staying current with AI/ML trends.