Principal Software Engineer I, Full Stack

Role Overview Lila Sciences is seeking a Principal Engineer with expertise in AI Security for its Cambridge, MA office. This senior individual contributor will help define and drive the technical strategy to secure AI applications across the organization. The role involves close collaboration with IT and business teams to ensure AI tools and platforms are implemented safely and in compliance with internal and external requirements. Securing both third-party and in-house AI tools is central to this position. The work will focus on protecting sensitive data, intellectual property, and scientific processes as AI becomes increasingly embedded in Lila's operations. What You Will Do Enterprise AI Security Strategy: Develop and roll out security controls and guidelines for using AI tools throughout the company, covering LLM APIs and SaaS AI platforms. AI Gateway & Agentic Gateway Security: Design and enforce controls for AI gateways, monitoring and managing access to AI systems. Ensure agentic workflows are secured with strong identity and authorization measures. AI Red Teaming & Adversarial Testing: Lead red teaming and adversarial testing efforts to uncover vulnerabilities in AI usage, such as prompt injection and data exfiltration risks. Data Protection for AI Usage: Establish and maintain safeguards to prevent sensitive data exposure through AI systems, with a focus on input/output filtering and secure data management. Multi-Layer AI Security: Integrate AI security practices with the organization's broader security framework, maintaining visibility and control over AI service access and data flows. AI Threat Modeling: Build and maintain threat models tailored to enterprise AI applications, addressing risks like data leaks and unauthorized agent actions. Vendor & Platform Security: Assess and advise on secure integration of third-party AI vendors, with close attention to their data handling practices and model behavior.

Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Relocation package: AvailableStart date: ASAPLanguages: English (required)About the RolePragmatike is seeking a highly skilled Principal AI/ML Engineer to join a rapidly growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by researchers from MIT CSAIL.In this pivotal role, you will become an integral part of our elite AI engineering team, responsible for architecting, developing, and deploying advanced AI systems utilized by Fortune 500 clients. Your technical expertise will drive the development of essential ML components while collaborating closely with AI researchers, platform engineers, and product teams to ensure the delivery of scalable, production-ready AI solutions.This position is tailored for seasoned AI/ML engineers with a proven track record of building and deploying models in production settings, eager to work at the nexus of research-grade AI and practical systems engineering.Key ResponsibilitiesDesign, construct, train, and refine machine learning and deep learning models for production deploymentLead the successful deployment of ML models into robust, scalable production environmentsArchitect training, inference, and evaluation pipelines for both structured and unstructured datasetsOwn the performance, reliability, scalability, and lifecycle management of ML modelsDrive experimentation, model iteration, and performance benchmarking initiativesImplement and uphold high-quality ML codebases primarily in PythonMonitor, troubleshoot, and enhance live production modelsCollaborate with platform, backend, and infrastructure teams to ensure seamless system integrationContribute to technical direction, architecture decisions, and AI roadmap strategiesMentor junior engineers and foster a culture of technical excellence within the teamDesired QualificationsBachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, or a related discipline7+ years of relevant professional experience in AI/ML, data science, or applied machine learning rolesDemonstrated experience in deploying ML systems in production environmentsStrong proficiency in Python and familiarity with machine learning frameworksExcellent problem-solving skills and a passion for innovation in AI

POS-4092 Team and Product Focus The Data Hub team at HubSpot connects scattered data sources to deliver practical insights for Revenue Operations, marketing, sales, and customer teams. By integrating information from various channels and tools, the team improves data quality and makes this data actionable within HubSpot. This enables teams to run AI-powered demand generation, optimize campaigns, and produce reliable reports, without requiring deep expertise in data systems. Product engineering here blends data engineering, machine learning, applied AI, and market strategy. The group prioritizes reliability, cost efficiency, and scalability, while always considering usability for marketers and sales professionals. Role Overview HubSpot is seeking a Lead Principal Software Engineer to steer the next phase of Data Hub's development. This platform is evolving into the central engine for data-driven demand generation company-wide. Key Responsibilities Take ownership of critical components in the data lake and analytics architecture, working with technologies such as Iceberg, Spark, and both batch and streaming data pipelines. These systems underpin large-scale demand generation, segmentation, and scoring. Design and refine data systems to achieve the right balance between cost, latency, data freshness, and reliability. Apply principles like the CAP theorem, efficient partitioning, and thoughtful storage layout to guide decisions. Collaborate closely with Product Management, product analytics, and go-to-market leaders to deliver solutions that drive business outcomes: improved lead scoring, enhanced funnel visibility, audience segmentation, and campaign attribution for marketing and sales. Contribute to transforming Data Hub into an AI-powered platform, aiming for curated, always-available datasets that support AI agents and reporting tools, eliminating the need for manual integrations or custom pipelines. This is a hands-on principal engineering position. The role involves building systems, working alongside product and design, and amplifying the impact of HubSpot's broader engineering community.

Join our dynamic team at Ramboll as a Senior / Principal Electrical Engineer. In this role, you will lead innovative projects, collaborate with a talented team, and contribute to the development of sustainable electrical solutions. Your expertise will be pivotal in driving forward our commitment to excellence in engineering.

ABOUT PIONEERING INTELLIGENCE Pioneering Intelligence builds on the legacy of Flagship Pioneering, leveraging the latest advancements in artificial intelligence, machine learning, and data analytics to expedite groundbreaking research and establish a portfolio of AI-centric companies. As an integral part of Flagship’s innovative model that merges science, entrepreneurship, and capital, we transform revolutionary ideas into transformative enterprises, enhancing the AI breakthroughs occurring within the realms of human health, sustainability, and beyond. THE ROLE Pioneering Intelligence represents a strategic initiative of Flagship Pioneering, dedicated to positioning our organization at the forefront of global innovation through the fusion of human, machine, and nature’s intelligence – a concept we refer to as Polyintelligence. We are currently on the lookout for a Principal Product Manager to collaborate across various disciplines including UX design, AI research, engineering, legal, communications, marketing, and scientific research teams, as well as venture creation units, to address the most significant challenges in AI within the life sciences sector. We are establishing a state-of-the-art digital infrastructure that integrates computational science, AI/ML technologies, knowledge engineering, data platforms, and workflow automation. These capabilities are essential in supporting Flagship’s distinctive approach to exploring uncharted territories and translating scientific insights into transformative enterprises. The Principal Product Manager, Agentic AI will be a key individual contributor responsible for owning a specific product area from conception to execution, translating intricate user and scientific requirements into a coherent strategy, quantifiable outcomes, and widely adopted solutions aligned with our business objectives. As part of a multidisciplinary team, you will closely partner with scientists and business stakeholders to drive impactful innovations from agentic systems that redefine workflows and business capabilities within a dynamic startup environment. KEY RESPONSIBILITIES Own and articulate the product vision, strategy, and roadmap. Define Objectives and Key Results (OKRs) and drive measurable outcomes. Lead discovery processes with scientists, synthesize insights, and develop wireframes. Facilitate cross-functional decision-making and alignment among machine learning, engineering, and scientific stakeholders. Drive product adoption, including spearheading user enablement initiatives.

Your Impact at Lila As a Senior or Principal Research Engineer specializing in Synthetic Data, you will play a pivotal role in shaping the vision, roadmap, and execution of our synthetic data initiatives. Your responsibilities will span from asset generation and simulation to integrating machine learning training and achieving measurable enhancements in model performance. Collaborating closely with our Research Engineering team, you will design, generate, and implement artificial datasets aimed at training, testing, and refining Lila’s platform to achieve our strategic objectives. What You Will Build Define and refine the synthetic data strategy along with a comprehensive multi-quarter roadmap. Create evaluation frameworks that effectively connect synthetic interventions with genuine model performance. Establish high standards for asset quality, diversity, thorough documentation, and reproducibility while fostering a robust review culture. What You Will Need to Succeed Over 6 years of experience in applied ML/ML systems, with at least 3 years leading industry initiatives, showcasing a strong track record in advanced algorithms and frameworks designed for large-scale synthetic data generation. More than 8 years of experience working with contemporary ML workflows, including Python, PyTorch, dataset tools, training loops, and evaluation frameworks; adept at profiling and optimizing GPU-intensive pipelines. Bonus Points For A proven history of constructing synthetic datasets from source data to significantly enhance model performance in specific domains. Experience with instruction fine-tuning and hill-climbing techniques. Ability to translate product requirements and feedback into a scalable synthetic data generation pipeline. Knowledge of quantization, distillation, routing, mixture-of-experts, and cost optimization at scale. Experience in compliance-heavy settings (HIPAA, PCI, FedRAMP) and with on-premises/VPC deployments. About Lila Lila Sciences stands at the forefront of innovation as the world’s first scientific superintelligence platform and autonomous lab, dedicated to life sciences, chemistry, and materials science. We are ushering in an era of limitless discovery by harnessing AI to enhance every facet of the scientific method. Our mission is to empower scientists to tackle humanity's most pressing challenges in health, climate, and sustainability at an unprecedented pace and scale. Discover more about our mission at www.lila.ai. If this sounds like an environment in which you would thrive, we encourage you to apply even if your experience doesn't perfectly align with every requirement listed.

Join Cambridge Mobile Telematics (CMT), the world's leading telematics service provider, dedicated to enhancing road safety and improving driver behavior. Our cutting-edge AI platform, DriveWell Fusion®, integrates sensor data from millions of IoT devices—including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices—melding it with contextual information to deliver a comprehensive analysis of vehicle and driver interactions. Our insights empower auto insurers, automotive manufacturers, mobility companies, and public sector organizations to optimize risk assessment, safety protocols, claims processing, and driver improvement initiatives. Based in Cambridge, MA, with global offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT actively monitors and safeguards millions of drivers worldwide every day.As a Principal Software Engineer within our Trip Processing team, you will play a crucial role in delivering innovative technical solutions at the core of our advanced telematics pipeline. Collaborating closely with product and research teams, you will design, develop, and implement new features while mentoring junior engineers and enhancing our codebase. Your contributions will be vital in upholding our high standards of software quality to meet the expectations of our insurance partners.We seek a collaborative, customer-focused, and imaginative Principal Software Engineer II - Backend who is eager to help make roads safer and drivers more responsible!

About Flagship Pioneering Flagship Pioneering is a biotechnology company based in Cambridge, MA. The team invents and builds platform companies focused on advancing human health and sustainability. Flagship brings together scientific leaders, entrepreneurs, and experienced capital managers to address challenges ranging from cancer care to sustainable agriculture. The company’s portfolio includes organizations that have vaccinated billions, developed new treatments, and promoted eco-friendly practices. Flagship has been recognized on FORTUNE’s “Change the World” list and featured in Fast Company’s annual “World’s Most Innovative Companies.” Role Overview: Lead Cloud Security and Application Security Engineer This role shapes Flagship’s cloud security and application security engineering practice. Supported by the CISO and Director of Security Engineering, the position focuses on defining and executing cloud posture management, secure software development lifecycle (SSDLC) security, and cloud-side data loss prevention. The engineer will work closely with the Infrastructure & Operations team on cloud architecture and network infrastructure. One of the main responsibilities is to build workflows that use AI and large language models (LLMs) to automate routine security tasks, freeing up time for complex challenges that require human judgment. The position leads technical execution for cloud security and application security across Flagship and its portfolio, partnering with engineering teams to embed security into development pipelines from the start. Key Responsibilities Establish and lead Flagship’s cloud security and application security engineering practice Define cloud posture management, SSDLC security, and cloud-side DLP strategies Collaborate with Infrastructure & Operations on cloud architecture and network infrastructure Develop and implement AI-enhanced workflows using LLMs and intelligent tools Automate recurring tasks to focus on high-impact security work Work directly with engineering teams to integrate security into development pipelines Drive technical execution of cloud security and AppSec across Flagship and its portfolio companies Work Location Cambridge, MA, USA

Join Lila Sciences as a Staff or Principal Engineer specializing in Technical Mitigations Research. This role offers an exciting opportunity to leverage your engineering expertise to develop innovative solutions in the field of technical mitigations.

Location: Cambridge, MA (Eastern Time / UTC -4)Relocation package: AvailableStart date: ASAPLanguages: English (required)About the RolePragmatike is collaborating with an innovative AI startup, acknowledged as a Top 10 GenAI company by GTM Capital, founded by researchers from MIT CSAIL. We are looking for a Principal Full Stack Engineer specializing in Node.js + React who possesses extensive hands-on expertise in crafting scalable, high-performance web applications that support intricate, data-driven AI solutions utilized by Fortune 500 clients.This position is perfect for those who relish taking ownership of features from inception to completion—encompassing backend architecture and refined frontend delivery. The ideal candidate will be adept at designing APIs, constructing scalable services, developing user-friendly interfaces, and deploying production-ready features at scale.ResponsibilitiesDesign, develop, and maintain scalable full stack applications using Node.js, React, and TypeScript.Architect and create robust backend services, APIs, and data models.Build modern, production-grade web interfaces with React.Own features throughout the entire lifecycle, from technical design and implementation to deployment and production support.Enhance performance across the stack, including frontend rendering, API latency, and database queries.Collaborate closely with product, design, and AI/ML teams to deliver user-centered features.Establish best practices for testing, code quality, observability, and CI/CD processes.Enhance overall system architecture, scalability, and developer experience.Diagnose and resolve production issues spanning both frontend and backend systems.QualificationsMinimum of 5 years of experience as a Full Stack Engineer.Strong expertise in Node.js (including frameworks such as Express, NestJS, or similar).Proficient in React and TypeScript in production settings.Experience designing RESTful APIs and working with databases like PostgreSQL or MongoDB.Solid understanding of modern web architecture and principles of distributed systems.Proven experience in building scalable applications and deploying them effectively.Exceptional problem-solving skills and a passion for technology.

POS-9034About Our TeamThe Commerce Hub at HubSpot is revolutionizing how businesses sell, bill, and manage revenue seamlessly within our platform. Handling billions in customer transactions, our focus on accuracy, clarity, and reliability is paramount. We are developing an AI-first commerce ecosystem that integrates flawlessly with HubSpot’s CRM, offering a streamlined, consistent, and adaptable experience for both sellers and buyers.About the RoleWe are in search of a Principal Software Engineer to drive the technical evolution of Commerce Hub. This pivotal role demands hands-on involvement, where you will engage in coding, exploring services, evaluating complex designs, troubleshooting intricate systems, and taking ownership of the architecture for critical components in CPQ, Billing, Payments, and Revenue OS.Your ResponsibilitiesDevelop a Cohesive, Scalable PlatformInfluence the technical roadmap for CPQ, Billing, and Payments using strong, decisive patterns.Define and enhance core domain models to ensure consistent and predictable behavior for pricing, products, contracts, invoices, and payments.Create frameworks that facilitate easy extensions without increasing complexity.Be a Proactive, Impactful BuilderRegularly write code, lead design reviews, and construct impactful systems from start to finish.Manage extensive multi-team projects that encompass CPQ, Billing, and Payments.Transform prototypes into scalable production-ready solutions.Guide Architectural DirectionEstablish patterns for extensibility, contract boundaries, financial accuracy, event-driven consistency, and safe interactions between AI/agents and commerce objects.Advocate for simplicity in complex domains while maintaining consistency across surfaces.Collaborate Closely with Product LeadershipShape product strategies across CPQ, Buyer Portal, and Revenue OS.Assist teams in navigating trade-offs between speed, accuracy, compliance, and long-term platform sustainability.Elevate Organizational StandardsMentor senior engineers and technical leads.Drive informed design choices and facilitate learning from incidents and significant migrations.Encourage teams to align on best practices and strategic goals.

Teamwork Makes the Stream Work. Roku is revolutionizing the way the world experiences television.As the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is on a mission to power every television globally. We pioneered streaming to the TV and aim to connect consumers with the content they cherish, empower content publishers to grow and monetize their audiences, and furnish advertisers with unique tools to engage effectively with consumers.From your very first day at Roku, you will be a crucial and appreciated member of our team. We are a rapidly growing public company where everyone plays an integral role. Join us to delight millions of TV streamers worldwide while gaining invaluable experience across diverse disciplines. About the TeamThe Roku Trust Engineering team consists of passionate professionals committed to information security.Our mission is to safeguard our customers, partners, devices, services, infrastructure, and data. We collaborate closely, sharing insights and expertise to stay ahead of emerging threats.Join us and be part of a vibrant team that embraces challenges and celebrates successes together. About The RoleAs a Security Engineer on the Trust Engineering team, you will play a vital role in designing, implementing, and managing Roku's comprehensive security systems and controls that impact a global user base.Your key responsibilities will encompass supporting the development of security controls, managing and maintaining SIEM/SOAR tools, overseeing threat intelligence platforms, responding to technical incidents, conducting vulnerability management, performing risk assessments, and serving as the primary contact for the future outsourced Tier 1 SOC function.You will work collaboratively with teams within Trust Engineering and across the organization to promote, develop, and influence robust security practices and postures. What You Will Be DoingTrust Information Security OperationsSupporting the design and implementation of information security systems and frameworks, including tools for threat prevention, detection, and mitigation.Manage, maintain, and optimize security infrastructure to ensure a secure environment.

Join Redgate Software as a Product Security Engineer!At Redgate, we develop innovative, user-friendly software solutions that empower data professionals to maximize the value of their databases. Our products address intricate database management issues throughout the DevOps lifecycle, enhancing efficiency, minimizing errors, and safeguarding critical business data. The data community places its trust in Redgate to effectively balance speed to market, teamwork, and data security.Explore more about our vibrant culture and commitments:Redgate Software – CultureFlexa CareersGlassdoorRepVueYour RoleAs a vital member of our team, you will integrate security into the software development lifecycle across various product teams. Your responsibilities will include defining security requirements, enhancing detection and prevention mechanisms (SAST/DAST), guiding teams on application security governance, and conducting threat modeling.Your Contributions at RedgateCollaborate with engineering and product teams to define and operationalize security requirements throughout the SDLC, from design to deployment.Conduct audits of application code to identify weaknesses and vulnerabilities.Lead or co-lead application security governance practices, including secure-by-default standards, patterns, guardrails, and risk acceptance processes.Promote SAST/DAST adoption and ensure high-quality outcomes through tool tuning, triage workflows, severity calibration, and fix-forward practices.Facilitate the implementation of threat modeling for new features, architectural changes, and high-risk services, transforming findings into actionable engineering tasks.Offer guidance on product security within cloud-native environments (AWS and containerized workloads), focusing on secure service design.

ABOUT PIONEERING INTELLIGENCE Pioneering Intelligence is a forward-thinking initiative that builds upon Flagship Pioneering's rich history of establishing groundbreaking scientific and computational enterprises. By leveraging cutting-edge advancements in artificial intelligence, machine learning, and data science, we aim to accelerate fundamental research and cultivate a dynamic portfolio of AI-first companies. As an integral part of Flagship's unique model that intertwines science, entrepreneurship, and investment, we transform revolutionary concepts into impactful companies, enhancing AI innovations that contribute to human health, sustainability, and more. THE ROLE We are on the lookout for a Principal Scientist specializing in Embedded Machine Learning and Computational Methods to spearhead various AI/ML and computational initiatives across early-stage ventures within our company origination framework. Your responsibilities will include defining and executing practical AI strategies, overseeing the development of methodologies and platforms (including systems design, drug design, molecular modeling, systems biology, protein design, and LLM-based workflows), and ensuring a high standard of rigor in model development, benchmarking, scaling, and reporting. You will also manage cross-functional teams as necessary, influence the strategic direction of our initiatives, and represent Pioneering Intelligence to venture teams and external collaborators. The ideal candidate is a self-motivated individual with a diverse skill set, capable of transitioning seamlessly from protein design to mass spectrometry or docking pipelines, and then creating LLM-based agents to streamline scientific workflows.

Collaboration Fuels Innovation. Transforming the Way the World Experiences TelevisionRoku is the leading TV streaming platform across the U.S., Canada, and Mexico, and we are on a mission to empower every television globally. As pioneers in streaming technology, our goal is to be the central platform connecting the entire television ecosystem. We facilitate connections between consumers and their favorite content, help content publishers grow and monetize their audiences, and provide advertisers with unique tools to engage viewers.From your very first day at Roku, you will play a crucial role in our mission. We are a rapidly growing public company where every team member's contribution is valued. Join us to delight millions of TV streamers worldwide while gaining invaluable experience across diverse disciplines. About Our Team The Roku Trust Engineering team comprises a dedicated group of professionals passionate about information security. Our mission is to safeguard our customers, partners, devices, services, infrastructure, and data. We work collaboratively, sharing insights and expertise to stay ahead of potential threats. Join us, and you’ll be part of a vibrant team that thrives on overcoming challenges and celebrates achievements together.

Join Luminance, a trailblazer in Legal-Grade™ AI for enterprises, and seize this incredible internship opportunity. Backed by prestigious venture capitalists and recognized in the Forbes AI 50 list as one of the ‘Most Promising Private AI Companies in the World’ as well as in Inc. 5000’s ‘Fastest Growing Companies in America’, Luminance is at the forefront of transforming the legal industry worldwide.We are on an ambitious growth trajectory and are continuously seeking bright, passionate individuals eager to contribute to our success. This internship offers you a unique chance to gain hands-on experience as part of our dynamic software engineering team at a fast-paced company. You will immerse yourself in the work from day one, collaborating closely with and being mentored by one of our skilled engineers.

Your Impact at Lila Lila Sciences is on the lookout for a talented Industrial Engineer to take the lead in designing and optimizing the physical layout of our cutting-edge AI Science Factories. In this pivotal role, you will integrate laboratory instrumentation and robotics into a seamless and efficient factory design. Your collaboration with hardware engineering, scientific teams, robotics, facilities, and operations will be crucial in creating layouts that prioritize safety, scalability, and high-throughput autonomous research. This position is vital for translating intricate cross-functional requirements into a factory environment that propels Lila’s next-generation scientific capabilities. What You'll Be Building Take ownership of the complete factory layout, focusing on spatial planning, adjacency mapping, and utility requirements. Integrate diverse lab instrumentation layouts from various scientific and engineering domains into a cohesive, high-performance factory design. Work closely with teams in hardware, robotics, science, automation, safety, and facilities to incorporate essential requirements for utilities, safety, accessibility, maintenance, and environmental controls. Create and maintain precise 2D and 3D CAD models of the entire factory layout, managing version control and change updates effectively. Collaborate with robotic teams to conduct simulations and scenario analyses, evaluating throughput, operational efficiency, and identifying bottlenecks. Partner with construction, facilities, and external vendors to ensure that physical buildouts accurately reflect intended designs and are scalable to meet future demands. Develop standards, documentation, and layout guidelines for new lab instrumentation and factory expansions. What You’ll Need to Succeed Bachelor’s or Master’s degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, Systems Engineering, or a related field. Proven experience in designing factory, laboratory, or production layouts in complex environments. Expertise in CAD tools (e.g., AutoCAD, REVIT, SolidWorks). Strong knowledge of workflow optimization, material flow, ergonomics, and spatial systems. Ability to work collaboratively across multidisciplinary engineering and scientific teams. Exceptional communication and documentation skills.

ABOUT PIONEERING INTELLIGENCEPioneering Intelligence extends Flagship Pioneering's tradition of launching innovative scientific and computational initiatives. By leveraging the latest advancements in AI, machine learning, and data analytics, we aim to expedite fundamental research and build a diverse portfolio of AI-first companies. As a key player in Flagship's integrated approach to science, entrepreneurship, and investment, we transform groundbreaking concepts into transformative enterprises that enhance AI innovations in human health, sustainability, and more.THE ROLEWe are on the lookout for a Principal Scientist specializing in Embedded Machine Learning and Computational Techniques to spearhead various AI/ML and computational initiatives across early-stage ventures in our company origination process. You will be responsible for defining and executing practical AI strategies, overseeing the development of methodologies and platforms such as systems design, drug design, molecular modeling, systems biology, protein design, and LLM-driven workflows while ensuring the utmost rigor in model development, benchmarking, scaling, and reporting. You will manage cross-functional contributors as necessary, influence the strategic direction of the company, and represent Pioneering Intelligence to venture teams and external partners. The ideal candidate is a proactive, deep thinker who can seamlessly transition between protein design one week and mass spectrometry or docking pipelines the next, while also developing LLM-based agents to automate scientific workflows.

Your Role at Lila Sciences Lila Sciences is on the lookout for an experienced Principal Software Engineer specializing in Instrument Simulations. In this pivotal position, you will spearhead the architecture and development of our cutting-edge laboratory automation platform. Your expertise will be crucial in designing the simulation framework and integration layer that links AI-driven experimental design with physical robotic systems, enabling groundbreaking scientific discoveries at an unparalleled scale. Key Responsibilities Design and implement high-fidelity simulation environments that accurately model intricate laboratory instrumentation, fluidics, and robotic processes. Establish and maintain robust integration frameworks between diverse hardware systems, ensuring the safe and reliable execution of fully automated experiments. Lead the development of APIs and interfaces to facilitate seamless interaction between scientists and AI agents with complex automation infrastructures. Champion best practices in hardware-software integration, system monitoring, and continuous integration/deployment (CI/CD) within laboratory automation contexts. Provide mentorship to engineers, likely overseeing a small, agile team.