Principal Software Engineer, Instrument Simulations (AI)

TL;DR

Principal Software Engineer, Instrument Simulations (AI): Architecting and leading the development of a next-generation laboratory automation platform with an accent on designing the simulation infrastructure and integration layer that connects AI-driven experimental design with physical robotic systems. Focus on high-fidelity simulation environments, robust integration patterns, and APIs for seamless interaction with automation infrastructure.

Location: Cambridge, MA USA

Salary: $204,000 - $270,000 USD

Company

hirify.global is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.

What you will do

• Architect and implement high-fidelity simulation environments that model complex laboratory instrumentation, fluidics, and robotic workflows.
• Design robust integration patterns between heterogeneous hardware systems, ensuring reliable and safe execution of fully automated experiments.
• Lead the development of APIs and interfaces that enable scientists and AI agents to seamlessly interact with sophisticated automation infrastructure.
• Maintain and help establish best practices for hardware-software integration, system monitoring, and CI/CD in laboratory automation contexts for all newly developed systems.
• Mentor engineers, likely leading a small agile team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 10+ years of software development experience, including 5+ years in a leadership role.
• Proven experience in architecting and directing large-scale software projects.
• Strong proficiency in programming languages such as C++, Python, or Java.
• Strong record of implementing and advocating for engineering best practices such as code reviews, testing, and continuous integration.
• Experience in leading diverse engineering teams with a focus on collaboration, innovation, and efficiency.

Nice to have

• Ph.D. in Computer Science, Engineering, or a related field
• Experience in leading the development of laboratory automation systems or scientific instrumentation
• Experience with organizational change management and fostering innovation in large technical programs.
• Track record of successful project delivery in agile environments, optimizing team workflows and balancing priorities.
• Published work or presentations that highlight contributions to the field of software engineering and leadership in simulation or automation systems.

Culture & Benefits

• Competitive compensation including bonus potential and generous early equity.
• Committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.