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Principal Software Engineer, Instrument Simulations
Principal Software Engineer designs and leads development of high-fidelity lab automation simulations and integration layers for AI-driven robotic systems, mentoring a small team in Cambridge, MA.
Principal Software Engineer, Applied AI
Senior Software Engineer on LILA Sciences' Applied AI team, building backend services, data pipelines, and AI integrations (LLM, RAG, agentic AI) that power the company's AI-driven scientific discovery platform. Core stack: Python (FastAPI/Flask/Django), SQL/NoSQL/vector databases, AWS, Kubernetes, and Terraform.
Staff/ Principal Software Engineer, Scientific System of Record
Lead architecture and development of an AI-driven scientific platform that integrates lab workflows, data capture, and analytics, using TypeScript, React, Python, and modern cloud infrastructure.
Principal Software Engineer, App
Designs and builds the AI-native application layer of LILA's scientific discovery platform: full-stack UIs and APIs (React, TypeScript, FastAPI, Python), database architecture across SQL/NoSQL/vector stores, and AWS/Kubernetes infrastructure so researchers can collaborate with AI agents from hypothesis to experiment.
Staff / Principal Automated Systems Engineer
Hands-on automated systems engineer at LILA Sciences who designs, builds, and maintains high-throughput laboratory automation workcells — combining Python control software, sensors, wiring/plumbing, CAD, and machine vision — to turn scientific experiments into reliable, scalable automated workflows.
Principal Engineer, Software (Enterprise Platform)
A hands-on principal-level individual contributor who designs and builds the enterprise platform backbone for LILA's AI-driven autonomous science system: multi-tenancy, identity/permissions, billing, and audit infrastructure, plus AI-native APIs and agentic workflows. Core stack is Python/FastAPI on cloud-native infrastructure (Kubernetes, Terraform, AWS/GCP).
Principal Scientist / Associate Director, Agentic AI Research for Materials Science
Your Impact at LILA Own the technical direction for agentic AI systems applied to materials science at Lila. You will set and execute the roadmap for autonomous agents that plan, run, and interpret materials…
Senior / Principal Chemist, AI Safety
A chemist on LILA Sciences' AI safety team maps chemical dual-use misuse risks from increasingly capable scientific AI — building safety strategy, evaluations, and mitigations while preserving beneficial chemistry. Requires deep chemistry expertise (PhD or equivalent) and dual-use risk assessment experience; base salary $148k–$208k USD.
Principal Machine Learning Engineer, Applied AI
A senior IC role adapting LILA's scientific AI models to customer workflows through post-training (SFT, RLHF-style methods like DPO/PPO/GRPO), building evaluation loops, and debugging production model behavior. Core stack is Python and PyTorch with deep LLM/multi-modal/agentic AI expertise.
Staff / Principal Research Engineer, AI Safety Mitigations
Research engineer on LILA's AI safety team, building and testing safeguards that mitigate risks from increasingly capable closed-loop scientific AI — spanning model training, post-training, classifiers, monitoring, access controls, and runtime interventions. Works hands-on with frontier models, agents, and lab-connected workflows alongside science, evaluation, and platform teams.
Staff / Principal Security Engineer, AI Safety and Security
Staff/Principal Security Engineer leading AI safety-and-security work at LILA Sciences: threat-modeling AI systems for autonomous scientific discovery, running adversarial tests of defenses, and turning findings into implemented safeguards. Requires deep hands-on security expertise (architecture, offensive security, app/infra security, or IR) plus curiosity about AI/ML safety.
Principal Network Engineer
Senior hands-on IC owning the design, security, and scaling of LILA Sciences' multi-site network spanning offices, autonomous AI labs, and OT/robotics environments — driving SD-WAN/SASE (e.g. Cato), firewall-to-SASE migration, VLAN/segmentation design, monitoring, and insourcing work from MSPs.
Senior / Principal Computational Biologist, AI Safety
Conducts original computational biology research on LILA's AI safety team, studying how LLMs, specialized biological models, agents and automated labs change what is biologically feasible, and translating risk judgments into evaluations, safeguards and dual-use policy boundaries. Requires deep computational biology expertise and strong scientific programming skills.
Senior / Principal Materials Scientist, AI Safety
LILA Sciences is hiring a Senior/Principal Materials Scientist for its AI safety team to map dual-use and misuse risks from increasingly capable scientific AI systems. Day to day: assessing materials-science threat landscapes, translating risk judgments into safeguards and policy boundaries, and collaborating across science, engineering, and policy.
Principal Software Engineer - TradeNet
Chief Architect leading the technical rebuild of TradeNet, Singapore's national single window for trade permits, decomposing a legacy Java/J2EE monolith into a cloud-native platform on AWS. Sets cross-team architecture, drives legacy modernisation, and pioneers LLM/agentic-AI engineering workflows.
Principal Java Engineer - Distributed Systems, Serverless - Elasticsearch
Principal engineer on Elastic's Elasticsearch distributed systems team, designing and operating the next-generation Serverless Elasticsearch offering: cluster coordination, concurrent and consistent indexing across nodes, and pushing scale/performance limits on shards, nodes, and petabytes. Core stack is core Java, distributed systems, and consensus algorithms.
Principal Java Engineer - Distributed Systems, Serverless - Elasticsearch
Principal Java engineer on Elastic's Elasticsearch Distributed Systems team, designing, building and operating core parts of the serverless Elasticsearch offering — cluster coordination, concurrent indexing across nodes, and pushing limits on shards, nodes, and petabytes. Core stack: Java, distributed systems/consensus, algorithms.
Director Principal Technical Program Manager, Delivery Enablement and Field Integration, Global Data Centers
The Modular Manufacturing & Integration organization is leading an industry-defining transformation in how Google delivers technical infrastructure for the AI era. Transitioning away from conventional, on-site,…