Advisor - Lab Automation Software Engineer, Ai-Integration …, San José del Rincón

Advisor Lab Automation Software Engineer In This Role, You Will Have The Opportunity To Lab Automation Integration Lead the design and implementation of reliable software integrations between orchestration layers and physical lab systems (liquid handlers, plate readers, robotic workstations, analytical instruments) Own and evolve the translation layer between high-level workflow logic and low-level instrument control Partner with automation engineers and biologists to ensure integrations are robust, maintainable, and production‐ready Platform & Infrastructure Deploy and maintain containerized services using Docker and Kubernetes with GitOps and CI/CD practices Integrate cloud‐based orchestration frameworks with laboratory control systems and LIMS infrastructure Build scalable, production‐grade Python applications and data pipelines connecting experimental readouts with downstream analysis tools AI & Intelligent Automation Collaborate to explore and prototype how AI‐driven decision‐making can be incorporated into existing automation workflows Contribute to autonomous orchestration approaches by applying software engineering rigor to early‐stage AI integration Stay current with LLM tooling and agent frameworks; help evaluate what is practically applicable to the lab environment Technical Leadership Serve as a technical authority and mentor within the automation engineering team (software, integration, emerging AI systems) Influence the broader technical roadmap for autonomous discovery systems at the San Diego site Evaluate tools, frameworks, and vendor solutions for strategic fit with the team's long‐term vision Basic Qualifications Ph.D. (Computer Science, Software Engineering, Bioengineering, or related) with 3+ years relevant industry experience, OR M.S. (related) with 5+ years relevant industry experience, OR B.S. (related) with 8+ years relevant industry experience Demonstrated experience integrating software systems with laboratory automation platforms (required) Preferred Skills & Attributes Software Engineering & Infrastructure Strong Python skills with experience building/maintaining production applications (FastAPI, Redis, Flask, pytest, etc.) Hands‐on Docker, Kubernetes, and CI/CD pipelines in production environments Experience with cloud orchestration frameworks such as Argo on Kubernetes Lab Automation & Integration Direct experience integrating software control systems with lab automation platforms (liquid handlers, analytical instruments, robotic workflows) Hands‐on familiarity with biologics discovery instrumentation (liquid handlers such as Beckman/Hamilton/HighRes, micro‐dispensers, plate readers, integrated robotic workstations) Familiarity with scheduling/execution software used in integrated lab environments (Cellario, Green Button Go, Director, SAMI, VWorks, Genera, or similar) Experience with LIMS platforms, ELN systems, or laboratory data pipelines AI & Emerging Technologies Curiosity and some hands‐on experience with LLMs, agent frameworks, or AI‐driven workflow automation Familiarity with orchestration tools such as LangChain or LangGraph (plus) Demonstrated willingness to learn and experiment with new technologies Proven ability to move between architectural thinking and hands‐on engineering Strong collaboration skills across software, automation, and biological science teams Genuine curiosity about biologics discovery and desire to understand the science well enough to build effective systems Benefits Eligible employees may participate in a company‐sponsored 401(k); pension Vacation benefits Medical, dental, vision, and prescription drug benefits Flexible benefits (e.g., healthcare and/or dependent day care versátil spending accounts) Life insurance and death benefits Certain time off and leave of absence benefits Well‐being benefits (e.g., employee assistance program, fitness benefits, and employee clubs/activities) Full‐time equivalent employees also may be eligible for a company bonus (depending on company and individual performance) Compensation Anticipated wage: $141,000
- $206,800 #J-*****-Ljbffr Postúlate en Kit Empleo: kitempleo.com.mx/empleo/5v6tfx