Principal Software Engineer, Instrument Simulations

External

Lilasciences · Cambridge, UK

$204K–$270K/yrFull-timeOn-site1mo ago

AgileCI/CDJavaLeadershipMovePython

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Benefits

We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.Expected Base Salary Range$204,000 - $270,000 USDAbout LILALila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.We're All InLila Sciences is 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.Information you provide durinDental insuranceVision insuranceFlexible scheduleEquity / stock optionsPerformance bonusParental leave

Additional Information

Your Impact at LILA Lila Sciences is seeking a Principal Software Engineer, Instrument Simulations to architect and lead the development of our next-generation laboratory automation platform. In this role, you'll be responsible for designing the simulation infrastructure and integration layer that connects AI-driven experimental design with physical robotic systems, enabling closed-loop scientific discovery at unprecedented scale. What You'll Be Building 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 What You'll Need to Succeed Bachelor's or Master's degree in Computer Science, Engineering, or a related field: Background that supports technical and leadership capabilities. 10+ years of software development experience, including 5+ years in a leadership role: Demonstrates ability to lead and manage complex projects and engineering teams. Proven experience in architecting and directing large-scale software projects: Skilled in designing and leading the development of scalable, reliable, and maintainable systems. Strong proficiency in programming languages such as C++, Python, or Java: Capable of setting technical standards and guiding development practices. 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. Excellent strategic thinking skills, with the ability to understand and align team efforts with organizational goals. Proven ability to mentor and develop engineering talent, fostering an environment of growth and continuous learning. Outstanding communication and interpersonal skills: Effectively engage with stakeholders at all levels, from developers to senior executives. Bonus Points For 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.

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