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Automation Engineer, Physical Sciences

Lila Sciences is building a scientific superintelligence platform and autonomous lab to accelerate discovery in life, chemistry, and materials science. We are seeking a hands-on Automation Engineer to design, develop, and implement scalable, high-throughput automated workflows for synthesis and characterization, collaborating closely with hardware, controls, and software teams in a fast-paced R&D environment.

Skills

  • Proficient Python programming, API integration, and error handling
  • CAD design and rapid prototyping experience including 3D printing
  • Hands-on hardware experience: electrical wiring, sensors, fluid plumbing, PID controllers
  • Experience programming and training robotic systems (e.g., pick-and-place)
  • Familiarity with vacuum, laser, furnace, and electrochemical experimental systems
  • Knowledge of machine vision and robotics control algorithms
  • Ability to create robust SOPs, documentation, and perform FMEA

Responsibilities

  • Design, develop, test, and implement automated laboratory workflows for synthesis and characterization
  • Collaborate with hardware, controls, and software teams to integrate instruments across the software stack
  • Develop scalable, modular SOPs, documentation, and runbooks for automated processes
  • Perform equipment and system FMEA(s) and implement failure detection and mitigation
  • Troubleshoot, optimize, and maintain automated systems to maximize throughput and reliability
  • Prototype mechanical and electrical solutions (CAD, 3D printing, wiring, plumbing, sensors)
  • Evaluate and integrate robotics, machine vision, and advanced sensors into workflows
  • Translate scientific goals into automation requirements and ensure safety and quality alignment

Education

  • Bachelor's degree in Materials Science, Chemistry, Engineering, or related field required
  • Advanced degree (MS/PhD) in a related field preferred

Benefits

  • Competitive salary and equity
  • Comprehensive health, dental, and vision benefits
  • Generous PTO and flexible time off
  • Professional development and conference support
  • 401(k) or retirement plan options
  • Collaborative, inclusive research-focused environment
To read the complete job description, please click on the ā€˜Apply’ button

Average salary estimate

$145000 / YEARLY (est.)
min
max
$120000K
$170000K

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FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
No info
HQ LOCATION
No info
SALARY RANGE
$120,000/yr - $170,000/yr
EMPLOYMENT TYPE
Full-time, onsite
DATE POSTED
September 16, 2025
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