Software Engineer - Scientific Computing & AI

Role Description

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.

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-source development, collaboration, and repository management.
• Experience supporting technical customers or working in customer-facing engineering roles.

Salary Range

At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $32 to $35.48 USD/hourly. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate’s qualifications and could fall outside the stated range.

Benefits

• Medical, dental, and vision coverage
• Flexible Spending Account
• 401k program
• Competitive PTO offerings
• Parental Leave
• Opportunities for professional growth and development

Location

100% remote, preferably on the west coast.