Principal Network Engineer owning Lila's global multi-site network (SD-WAN/SASE, enterprise firewalls, segmentation) across corporate offices, autonomous labs, and OT/robotics environments. Work with Identity, Endpoints, Security, and OT teams to design, secure, and scale infrastructure. Requires 10+ years network engineering with deep SD-WAN/SASE, firewall, and OT/IT convergence expertise.
Lila's science factories run on a fast-growing, multi-site network that spans corporate offices, autonomous labs, and OT/robotics environments across Cambridge (Alewife), OCP, San Francisco, and London. As Principal Network Engineer, you will be the senior technical owner of that network: building the in-house engineering capability to design, secure, and scale it, while increasing the value and effectiveness of our managed service provider relationships.
You'll partner closely with Identity, Endpoints, Security, and OT/Controls engineering teams as we build the corporate engineering function. You’ll have real influence over the network architecture decisions that determine how quickly and safely we can bring new labs and AI Science Factories online.
This is a hands-on, senior IC role for someone who can set technical direction, operate deeply in the details, and shape the network engineering function as it matures.
What You'll Be Building
Own the architecture, design, and roadmap for Lila’s global network, including SD-WAN/SASE, enterprise firewalls, and secure remote access.
Lead VLAN, subnet, and segmentation design across corporate IT, lab, and OT environments.
Design IT/OT convergence patterns that keep production labs safe, segmented, observable, and reliable.
Drive network infrastructure migration and hardening, including firewall-to-SASE cutovers and maintenance windows.
Build network visibility, monitoring, and telemetry to detect issues before they affect scientists or lab operations.
Establish scalable standards for DNS, IP addressing, and naming conventions across labs, buildings, and geographies.
Serve as the senior escalation point for complex network incidents, and create runbooks that help the broader IT team self-serve.
Manage network-focused MSPs and vendors while insourcing the highest-value engineering work over time.
Mentor other network engineers and represent network engineering in planning for lab buildouts and facility expansions.
Advise leadership on network architecture tradeoffs across security, cost, reliability, and delivery speed.
What You'll Need to Succeed
Typically 10+ years of progressive network engineering experience, or equivalent depth in designing and operating multi-site networks.
Deep hands-on expertise with SD-WAN/SASE platforms such as Cato Networks or similar.
Strong experience with enterprise firewalls, routing platforms, switching, VLAN segmentation, and subnetting at scale.
Experience securing and connecting both corporate IT and OT, industrial, or lab-instrumentation networks.
Proven ability to manage MSPs and vendors while improving technical outcomes and accountability.
Strong troubleshooting skills and comfort serving as the senior escalation point for production-impacting network issues.
Excellent communication skills, including translating network architecture decisions for technical and non-technical stakeholders.
Bonus Points For
Experience in life sciences, biotech, pharma, or advanced manufacturing environments with lab automation or robotics on the network.
Industry certifications such as CCNP/CCIE, JNCIP/JNCIE, or equivalent.
Cloud networking experience with AWS VPC, Transit Gateway, Direct Connect, or similar.
Experience with infrastructure-as-code for network configuration, such as Terraform, Ansible, or similar.
Familiarity with identity and access patterns, such as SSO/IdP, Keycloak, or similar, as they intersect with network and remote access design.
Experience operating in SOC 2 or similarly regulated security environments.
Prior experience building an internal network engineering function that reduced reliance on outside vendors or MSPs.
Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. 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.
International Benefits. 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.
Expected Base Salary Range
$204,000
—
$272,000 USD
About LILA
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.
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.
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.
We’re All In
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.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
