Top Entry Level Hardware Engineer Jobs in San Antonio, TX

As a Staff Software Engineer in the Video team, you'll design and implement key features of the video platform, working on scalability, video quality optimization, and automated testing to enhance user experience during video calls.

The Automation Anywhere Developer I will design, develop, and implement automation solutions for healthcare processes. Key responsibilities include creating web, API, and desktop automations, maintaining observability tools, collaborating with teams to deliver optimal solutions, ensuring high-quality scripts, and troubleshooting existing automations.

As a Data Ops Engineer at Deep 6 AI, you will oversee the execution of the data pipeline, implement monitoring and alerting measures, ensure data quality, collaborate with cross-functional teams, and support various projects to enhance data sufficiency and pipeline health.

The Software Engineer will design, implement, and maintain APIs, leverage AWS for deployment, and optimize application performance while collaborating with various teams. Responsibilities include developing backend data stores, troubleshooting system problems, and participating in software lifecycle activities.

The RPA Developer at Amitech will implement, optimize, and support RPA solutions to enhance healthcare workflows. Responsibilities include developing and testing automation processes, collaborating with teams, and ensuring compliance with best practices. The role requires strong technical communication and innovative thinking to drive impactful results in intelligent automation projects.

The Product Engineer will focus on billing projects, developing client code and backend services, leading pricing plans, and enhancing product quality. Responsibilities include collaborating with teams, conducting code reviews, and incorporating user feedback into development.

The DL Communications Collectives SW Engineer will design and implement optimized communication libraries for distributed systems used in deep learning. Responsibilities include working with GPUs, optimizing low-latency communication, collaborating with hardware teams, and validating library performance. The role demands strong problem-solving skills and a collaborative mindset in a fast-paced environment.