Senior Software Engineer, Operations Research
Cambridge, MA$180k - $256kfull-timePosted 4mo ago
About the role
Senior software engineer role focusing on backend systems, data infrastructure, and orchestration for AI-driven scientific platform in a cross-functional robotics and software team.
Responsibilities
- Fleet orchestrator, Scheduler, Manufacturing Execution System, data pipelines, and related software systems.
- Design & Build APIs: Design and build APIs and backend services that integrate with AI-driven applications, with focus on reliability and performance.
- Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.
- Application Development: Drive the implementation of backend services, focusing on performance, maintainability, and reliability.
- Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.
- Cloud & Infrastructure: Build and deploy production-grade systems on AWS using Kubernetes and modern DevOps practices.
- Cross-Functional Collaboration: Work with robotics scientists, platform engineers, and ML teams to integrate data pipelines and orchestration into scientific workflows.
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 5–10 years of engineering experience building and deploying large-scale backend or data systems in production.
- Backend / Data Development: Experience developing distributed software and data systems (Postgres, Flyte, Temporal, NATS/MQTT, FastAPI).
- Hands-on experience using AI coding assistants to drive productivity is required.
- Communication & Collaboration: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.
- Problem Solving: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.
Skills
Required:APIs and backend servicesDatabase design and systemsDistributed systems
Nice to have:Cloud & DevOps (AWS, Kubernetes, Terraform/CloudFormation, CI/CD)Python for science/data libraries
Benefits
- Full-time U.S. employees receive medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company holidays; paid parental leave; educational assistance; commuter benefits (bike share); subsidized lunch program.
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Lila Sciences
Pioneering Scientific Superintelligence
Pioneering Scientific Superintelligence to solve humankind’s greatest challenges.
Scientific SuperintelligenceAIAutonomous LabsLife SciencesChemical SciencesMaterials Sciences
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