Software Engineer – Scientific Computing & AI

Who is Northwind Robotics? We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. What does Northwind Robotics do? Northwind Robotics helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. Why Northwind Robotics? At Northwind Robotics, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Northwind Robotics, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Northwind Robotics. In This Role As a Software Engineer, you will partner with customers and cross-functional stakeholders to develop, maintain, and enhance software solutions that support scientific computing, data science, machine learning, and simulation-based workloads. You will contribute to customer-facing code repositories, build reusable AI-powered agents and tools, and help establish engineering best practices for technical communities. This role combines software engineering, customer engagement, scientific problem-solving, and emerging AI/LLM technologies to enable research and data-driven innovation. Responsibilities Collaborate with product and engineering teams to support customer onboarding and technical adoption. Develop, maintain, and own customer-facing GitHub repositories and related codebases. Design, build, test, and deploy software solutions for scientific computing and data science applications. Apply software engineering principles to address scientific, research, and computational challenges. Create, maintain, and improve reusable AI agents, automation workflows, and community assets. Utilize AI, LLMs, and agent-based technologies to enhance customer solutions and development processes. Support machine learning and data science workflows through software development and integration efforts. Contribute to simulation-based projects and computational science initiatives. Troubleshoot technical issues, identify root causes, and implement effective solutions. Follow software development best practices, including version control, testing, documentation, and code reviews. Engage with customers to understand requirements, provide technical guidance, and drive successful outcomes. Help establish and promote engineering best practices across customer and community projects. Required Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field. 1–2+ years of professional experience in software engineering or software development. 1–2+ years of experience using GitHub and version control systems in collaborative development environments. 1–2+ years of experience or demonstrated familiarity with AI/LLM technologies, machine learning concepts, APIs, and Model Context Protocol (MCP) concepts. Experience applying software engineering practices to scientific, research, computational, or data-driven applications. Understanding of software development lifecycle (SDLC) principles, coding standards, testing, and source control. Strong programming and problem-solving skills. Ability to communicate technical concepts effectively with customers and cross-functional teams. Experience troubleshooting software issues and implementing solutions. Strong verbal and written communication skills. Preferred Qualifications Experience with scientific computing, computational science, or simulation-based applications. Exposure to machine learning workflows, model development, or data science projects. Familiarity with agentic AI systems and AI-driven automation. Experience building or maintaining customer-facing open-source or GitHub-based projects. Demonstrated ability to apply software development skills to scientific or research-oriented problems. Experience creating reusable tools, agents, frameworks, or community assets. GitHub portfolio showcasing relevant software development projects. Knowledge of best practices for open-