Senior Software Engineer, Data Platform - Fully Remote USD - Latin America

📋 Description

• • Glacier Technologies Inc. is at the forefront of revolutionizing the recycling industry, tackling the critical global issue of waste. We are a Series A startup based in San Francisco, driven by a mission to significantly reduce the amount of recyclable materials sent to landfills, thereby decreasing carbon emissions, energy consumption, and the depletion of natural resources. Our innovative approach combines custom-built sorting robots with advanced AI-powered business analytics, empowering recycling facilities to optimize their operations and enhance societal circularity. We are seeking a highly skilled and motivated Senior Software Engineer to join our fully remote team, contributing to the development and scaling of our cutting-edge image capture and analysis platform.
• • In this pivotal role, you will be instrumental in the end-to-end software development lifecycle, encompassing design, development, testing, and maintenance of software solutions. Your expertise will span across our diverse technology stack, including edge devices deployed in the field, our robust on-premise and cloud server infrastructure, and our intuitive customer-facing web applications. This is a unique opportunity to make a tangible impact on a product that directly addresses environmental challenges and contributes to a more sustainable future.
• • You will be responsible for developing and maintaining sophisticated software for our edge devices, ensuring seamless data acquisition and processing at the source. This includes building and refining the APIs that form the backbone of our system, enabling seamless communication between edge devices, server infrastructure, and web applications. Your work will directly influence the efficiency and reliability of our data pipelines, which are crucial for our AI and machine learning models.
• • A significant aspect of your role will involve designing and improving the user interfaces of our web application. You will collaborate closely with product and design teams to create intuitive and powerful tools that our customers use to gain actionable insights from their recycling data. This requires a keen understanding of user experience and the ability to translate complex data into easily digestible visual representations.
• • Furthermore, you will play a key role in implementing, managing, and optimizing our data processing and machine learning inference pipelines. This involves working with large datasets, ensuring efficient data flow, and enabling real-time or near-real-time analysis. Your contributions will be essential for the continuous improvement and performance tuning of our AI capabilities, which are central to our value proposition.
• • The role demands a proactive and analytical approach to troubleshooting. You will be expected to diagnose and resolve complex issues that may span the entire hardware and software stack, from the edge devices and their sensors to the server infrastructure and the web frontend. This cross-functional problem-solving ability is critical for maintaining the integrity and performance of our integrated system.
• • Collaboration is at the heart of our engineering culture. You will work closely with a talented and diverse team of engineers, product managers, and data scientists. Together, you will brainstorm innovative solutions, design new features, and tackle challenging technical problems that push the boundaries of what's possible in recycling technology. Your input will be valued in all stages of product development, fostering an environment of continuous learning and shared success.
• • This position offers the chance to work with a dynamic, fast-growing startup that is making a real difference in the world. You will be part of a team that is passionate about sustainability and committed to building technology that has a positive environmental impact. Your work will directly contribute to improving recycling rates and creating a more circular economy. We are backed by experienced founders from leading tech companies and supported by top-tier investors, providing a stable yet agile environment for growth and innovation.