Lila Sciences
AI Science
PrincipalSoftwareEngineer,Data
Neural analysis suggests this role is
optimal for Principal candidates.
“Principal Software Engineer, Data at Lila Sciences. Skills: backend, Data Platform, AI Science. Design complex backend solutions. Explain complex ideas”
What You'll Achieve.
accelerating discovery
Industry & Context.
Problem Solving; design complex backend solutions
What They're Looking For.
Must Have
backend experience
Nice to Have
Kubernetes, containerization, infrastructure-as-code, Terraform, CloudFormation, CI/CD pipelines, GitHub Actions, laboratory software, analytics for life sciences, material sciences, laboratory devices, robotics, hardware
What You'll Do.
Design complex backend solutions
Explain complex ideas
How You'll Work.
Team & Collaboration
collaborate with software engineers; collaborate with lab scientists; collaborate with machine learning engineers
Communication Scope
explain complex ideas to diverse audiences
Full Job Description
Your Impact at LILA Join us in shaping the future of science! We are seeking Principal Software Engineers with backend experience to join our Data Platform Team (Data), where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you! About The Team The Data Platform Team (Data) builds and support the data systems that underpins Lila's AI Science Factory™. Every experiment run in our labs, every measurement from an instrument, and every signal from our operational systems flows through the platform they build. Their work spans real-time ingestion, large-scale analytical storage, workflow orchestration, and the self-service tools scientists, engineers, and ML teams use to go from raw measurements to discoveries. They build the data backbone of Scientific Superintelligence™, so the science moves faster and each experiment makes the next one smarter. What You'll Be Building Design able to explain complex ideas to diverse audiences. Problem Solving: Proven ability to design complex backend solutions, balancing trade-offs between scalability, performance, and maintainability. Bonus Points For Cloud strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions). Domain Background: Exposure to laboratory software or analytics for life sciences, material sciences, or related fields. Experience with laboratory devices, robotics, or hardware Compensation We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact. U. S. Benefits. Full-time U. S. employees receive a comprehensive benefits program including medical, dental,
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