Lila Sciences is a startup building an AI platform that trains models on scientific literature and integrates laboratory validation to enable autonomous scientific discovery.
<p><strong>Your Impact at LILA</strong></p> <p>Lila is seeking a seasoned Engineer II / Senior Engineer, Control Systems Design to lead the design and development of control systems for automated scientific equipment. This role involves architecting advanced control systems, integrating robotics and PLC technologies, and driving strategic initiatives to enhance laboratory automation.</p> <p><strong>What You'll Be Building</strong></p> <ul> <li>Assist in designing and implementing control systems using PLC and SCADA technologies to optimize laboratory workflows and promote future scalability.</li> <li>Support the integration of advanced robotics into automation systems, ensuring smooth operation within existing frameworks.</li> <li>Assist in the integration of 3rd party equipment and vendor software, development of wrappers to connect equipment to existing controls system.</li> <li>Design of safety systems with PLCs to safely operate a mix of equipment, robotics, and conveyance systems.</li> <li>Collaborate with software teams to integrate control systems with broader IT/OT factory infrastructure.</li> <li>Develop comprehensive engineering documentation including P&ID diagrams, wiring schematics, control narratives, and instrument IO lists.</li> <li>Lead complex automation projects, defining controls scope, setting milestones, managing vendors, and ensuring on-time and on-budget delivery.</li> <li>Oversee calibration, testing, and validation of control systems to meet strict performance, accuracy, and safety standards.</li> <li>Interface with subject matter experts (SMEs) and cross-functional internal customers to gather requirements, understand challenges, and deliver tailored automation solutions.</li> <li>Provide technical leadership and mentorship to junior engineers, fostering a collaborative and innovative team environment.</li> <li>Drive continuous improvement initiatives to enhance system reliability and operational efficiency.</li> </ul> <p><strong>What You'll Need to Succeed</strong></p> <ul> <li>4+ years of experience in designing and implementing complex control systems for automated laboratory environments.</li> <li>Extensive knowledge of PLCs, HMI, SCADA, and related automation software and hardware.</li> <li>Experience with industrial networking in OT deployments, network routing, security groups, VPNs, etc.</li> <li>Strong proficiency in creating detailed engineering documents and schematics using tools like AutoCAD, SolidWorks Electrical, or similar.</li> <li>Proven experience with robotics integration and programming using structured text.</li> <li>Excellent communication and interpersonal skills for engaging with SMEs and internal stakeholders.</li> <li>Strong analytical and problem-solving skills, with attention to detail and a commitment to excellence.</li> </ul> <p><strong>Bonus Points For</strong></p> <ul> <li>HMI design and Ignition Gold Certified.</li> <li>Structured text programming experience in TwinCAT, Python, C++, etc.</li> <li>Use of communication protocols like OPC-UA, MQTT, and REST APIs.</li> <li>Safety system design and classification like SIL or PL.</li> <li>Configuration of managed network switches, port addressing/IP subnetting, and DHCP services.</li> <li>Ability to troubleshoot traffic flows between OT networks and AWS cloud instances.</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><strong>Compensation</strong></p> <p>We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.</p> <p><strong>U.S. Benefits.</strong> Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.</p> <p><strong>International Benefits.</strong> Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.</p></div><div class="title">Expected Base Salary Range</div><div class="pay-range"><span>$93,600</span><span class="divider">—</span><span>$158,400 USD</span></div></div></div><div class="content-conclusion"><p><strong>About LILA</strong></p> <p>Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.</p> <p>LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.</p> <p>Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.</p> <p><strong>We’re All In</strong></p> <p>Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.</p> <p>Information you provide during your application process will be handled in accordance with our <a href="https://www.lila.ai/candidate-privacy-policy-notice">Candidate Privacy Policy</a>.</p> <p><strong>A Note to Agencies</strong></p> <p><em>Lila Sciences does n