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 flexible 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
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