Lead Principal Software Engineer for Instrument Simulations

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.

Your Contribution at Lila Sciences Lila Sciences is seeking a passionate Software Engineer to spearhead the development of cutting-edge Lab Instrument Integration Software, a crucial element of our AI-powered laboratory ecosystem. We want innovative thinkers who thrive at the intersection of software, science, and hardware, delivering impactful solutions that propel scientific advancements. Key Responsibilities Lab Instrument Software Development: Design and implement reliable software that facilitates seamless communication between robotic systems and automation hardware (e.g., robotic arms, liquid handlers, sensors) and control software, guaranteeing effective hardware integration. System Integration: Integrate lab instruments into our next-gen AI-driven lab automation framework, managing intricate connections between cloud and edge infrastructures, along with device execution. Testing and Debugging: Conduct comprehensive testing, debugging, and troubleshooting of drivers to pinpoint, isolate, and resolve performance issues, bugs, and compatibility hurdles. Technical Documentation: Develop, revise, and maintain thorough documentation for driver interfaces, APIs, and integration procedures, ensuring clarity for internal teams and end-users. Collaboration and Support: Partner with cross-functional teams, including hardware engineers, software developers, product managers, and end-users, to provide technical assistance and resolve integration challenges efficiently. AI-Driven Development: Leverage advanced coding models and development tools to enhance the speed and quality of software delivery. Qualifications for Success Proficiency in Python, C#/.NET, or other programming languages/frameworks is essential. Proven experience in debugging and problem-solving, particularly in hardware-software integration contexts. Strong analytical skills and a methodical approach to troubleshooting complex technical challenges. Excellent verbal and written communication skills to facilitate effective collaboration within multidisciplinary teams. Bonus Qualifications A keen interest or background in science. Experience in developing software for laboratory instruments.

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.

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.

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!

Join our dynamic team at ttp1 as a Simulation & Modelling Engineer - Consultant. In this role, you will leverage your expertise to develop innovative simulation models, engage in complex problem-solving, and provide valuable insights to our clients. You will collaborate with multidisciplinary teams to deliver high-quality engineering solutions that meet the needs of diverse industries.

Join Cambridge Mobile Telematics (CMT), the leading telematics service provider dedicated to enhancing road safety and driver performance. Our AI-powered platform, DriveWell Fusion®, aggregates data from millions of IoT devices, including smartphones and connected vehicles, to deliver actionable insights for auto insurers, automakers, and mobility companies. Headquartered in Cambridge, MA, with a global presence in cities like Budapest, Chennai, and Tokyo, we protect millions of drivers every day.We are on the lookout for a talented Principal Software Engineer to spearhead ambitious projects while mentoring our engineering teams in developing robust and scalable full-stack solutions. This pivotal role involves setting the technical direction for our platform and contributing to its ongoing success.If you are a collaborative, innovative, and customer-focused engineer eager to make a real impact on road safety, we invite you to apply!

Your Impact at Lila Join our dynamic team in the Physical Sciences division as a Senior Machine Learning Engineer. In this pivotal role, you will be instrumental in shaping the infrastructure that empowers Lila’s scientific superintelligence to autonomously design, execute, and interpret intricate physics simulations. Your expertise will be critical in developing core systems that enable AI agents to reason over and control computational experiments, ranging from electronic structure calculations to surrogate-driven atomistic modeling, and beyond. Your contributions will directly enhance the capability of autonomous computational processes to explore chemical and materials landscapes with unmatched autonomy and robustness. What You Will Be Building Architect and implement agentic frameworks to support dynamic, multi-stage simulation workflows for scientific tasks. Develop pipelines that allow agents to autonomously plan, schedule, execute, and interpret computational tasks at scale. Create integration layers and APIs that connect machine learning models, large-scale simulation engines, databases, and heterogeneous compute platforms. Collaborate with AI researchers to productionize agent behaviors, including tool-use strategies, simulation-aware decision loops, and adaptive task planning. Enhance the robustness, modularity, performance, and reproducibility of agent-driven computational workflows; develop internal tooling for debugging, observability, and validation. What You’ll Need to Succeed A Master's degree or PhD in Computer Science, Machine Learning/AI, Scientific Computing, or a related technical field, or equivalent experience. Proven experience in building machine learning-driven pipelines, workflow systems, or tool-use frameworks, particularly for complex or scientific applications. Proficiency in Python and familiarity with machine learning ecosystems; experience with compiled languages such as C++, Rust, or Julia is advantageous. Understanding of large-scale scientific or engineering software, including integrating external tools into automated computational workflows. Background in distributed systems, high-performance computing environments, cloud platforms, or accelerator-based computing. A solid grasp of modern machine learning architectures and their deployment in production systems (e.g., GNNs, transformers, diffusion models, multimodal or tool-using models). Strong engineering fundamentals: reproducibility, testing, modular design, CI/CD, and scalable machine learning operations. Bonus Points For Experience developing or integrating agentic frameworks, autonomous machine learning pipelines, or multi-step tool-using agents, particularly for scientific applications.

POS-31591About Our TeamThe Prospecting Solutions team is revolutionizing the way B2B SMB and mid-market sales teams cultivate their pipeline. The current outbound sales approach is often inefficient and outdated, with representatives dedicating excessive time to research, tool integration, and uncertain contact strategies. Our focus transcends mere outreach execution; we prioritize intelligent sourcing, prioritization, and trust.This team is developing a comprehensive, signal-driven prospecting ecosystem that aligns with contemporary B2B purchasing behavior: account-centered, aware of buying groups, and trust-oriented. Our mission is to merge human discernment with automation, enabling sales teams to generate consistent, high-quality pipeline without compromising their brand integrity or their representatives' well-being.About the RoleWe are seeking a Principal Software Engineer to serve as a pivotal technical leader for Prospecting Solutions. This role is highly hands-on, perfect for an innovator who excels in dynamic, product-defining environments.As a Principal Engineer within our team, you will play a crucial role in shaping how data, AI, and workflows converge to facilitate intelligent prospecting at scale. You won't just follow a roadmap; you will help craft it, transforming ambiguous challenges such as “who should I contact next and with what message?” into robust, transparent, production-grade systems utilized by millions of sales professionals.Key ResponsibilitiesDesign signal-driven prospecting systems: Define the integration of intent signals, firmographics, behavioral insights, and CRM context to create actionable prioritization and recommendations.Hands-on, impactful developer: Write production-quality code, steer complex projects from conception to completion, and scale prototypes into full-fledged systems.AI and systems integration: Guide the integration of machine learning and generative AI models into deterministic workflows, balancing efficiency with transparency and user trust.Influential technical leadership: Shape not only the construction of the product but also its vision, collaborating closely with Product to define interfaces, workflows, and necessary trade-offs.Extensibility focus: Design systems capable of functioning across diverse accounts, buying groups, and regions while ensuring adaptability and ongoing evolution.Cross-department collaboration: Work collaboratively across CRM, data, AI, and GTM teams to synchronize patterns and avoid localized optimizations.Elevate technical standards: Foster a culture of excellence in engineering practices and innovation.

Your Impact at Lila Sciences Become a pivotal part of the scientific revolution! We are looking for a Principal Software Engineer with extensive full-stack expertise to join our innovative software platform team. In this collaborative role, you will partner with software engineers, lab scientists, and machine learning experts to develop advanced tools for automated scientific analysis and beyond. Your responsibilities will encompass web services and data engineering, with a strong focus on Python development tailored for scientific applications. If you excel in a teamwork-oriented, fast-paced setting and adhere to best practices in version control, development workflows, and user-centered design, we would love to connect with you! Key Contributions You Will Make Design & Build Services and Front-ends: Create high-performance, secure, and well-documented code that seamlessly integrates with our existing services and applications. Performance & Reliability: Identify and resolve system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads. Cloud & Infrastructure: Utilize AWS services, Kubernetes, and contemporary DevOps methodologies to build and deploy production-ready systems at scale. Cross-Functional Collaboration: Collaborate with machine learning researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows and services.

Join Redgate Software as a Lead Software EngineerAt Redgate, we develop brilliantly intuitive software solutions that empower data professionals to maximize the value of their databases. Our innovative tools tackle intricate database management issues throughout the DevOps lifecycle, simplifying processes for IT leaders, development teams, and operations by enhancing efficiency, minimizing errors, and safeguarding crucial business data. The data community relies on Redgate for a harmonious blend of rapid deployment, team collaboration, and robust data protection.Learn more about our culture and team:Redgate Software – CultureFlexa CareersGlassdoorRepVueAs our Lead Software Engineer, you will collaborate within a dynamic, cross-functional team, including a Tech Lead, Product Designer, Product Manager, and several software engineers. You will also have the guidance of the Group Engineering Manager and an Architect, who will support you in overcoming challenges and achieving your goals.This role focuses on developing the next generation of AI capabilities aimed at enhancing database administration. You will be instrumental in creating new interfaces and methodologies that cater to the needs of database professionals utilizing agentic AI, while also collaborating with other teams at Redgate to integrate features from their tools into the workflow.Your role will be hands-on, influencing the team's approach to tackling complex engineering challenges. You will oversee the quality of engineering practices within the team and foster the growth of your colleagues. Additionally, you will lead interdisciplinary engineering initiatives and work closely with your architect to guide technical strategy.Beyond technical expertise, a critical aspect of your role is to elevate the entire team through mentoring, coaching, and sharing your knowledge. You will work closely with team leadership to establish and achieve team objectives.

Join Lila Sciences as the Director of Instrument Development Acceleration, where you will lead innovative projects aimed at advancing our cutting-edge instrument technologies. This role is pivotal in propelling our development efforts and driving strategic initiatives that will shape the future of our capabilities.

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.

At Cambridge Mobile Telematics (CMT), we are the leading telematics service provider globally, dedicated to enhancing road safety and improving driver performance. Our innovative AI-driven platform, DriveWell Fusion®, integrates sensor data from millions of IoT devices—including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices—providing a comprehensive view of driver and vehicle behavior. Our insights empower auto insurers, automakers, commercial mobility firms, and public sector entities to refine risk assessment, safety measures, claims processing, and driver enhancement initiatives. With our headquarters in Cambridge, MA, and additional offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT is committed to safeguarding and measuring the journeys of millions of drivers every day.We are currently seeking a dynamic and innovative Principal Software Engineer specializing in Android to join our mission of making roads safer and drivers better. This pivotal role as a principal-level individual contributor on our Android SDK team emphasizes deep technical ownership, cross-functional leadership, and strategic architectural guidance for CMT's Android SDK platform.

Join Cambridge Mobile Telematics (CMT), the largest telematics service provider globally, dedicated to enhancing road safety. Our innovative AI-driven platform, DriveWell Fusion®, integrates sensor data from millions of IoT devices, including smartphones and connected vehicles, with contextual information to deliver insights that empower auto insurers, manufacturers, and public sector organizations to improve risk assessment and driver safety. With our headquarters in Cambridge, MA, and global presence across cities like Budapest, Chennai, Seattle, Tokyo, and Zagreb, we protect millions of drivers daily.We are on the hunt for a talented Principal Software Engineer who possesses deep expertise in full-stack development. In this pivotal role, you will lead intricate projects, mentor teams, and contribute to the technical evolution of our platform, driving its ongoing success.If you are a collaborative, innovative thinker passionate about making roads safer through technology, we invite you to apply!

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.

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.

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 lilasciences as a Product Lead specializing in Software and Applied AI, where you will spearhead innovative projects that leverage cutting-edge AI technologies. In this pivotal role, you will collaborate with cross-functional teams to define product vision, strategy, and execution, ensuring alignment with user needs and market trends.

Role overview Speechify seeks a Platform Software Engineer based in Cambridge, MA. This position centers on building and enhancing the core platforms that power Speechify’s applications. The work involves designing, implementing, and refining scalable systems that influence both product development and the overall user experience. What you will do Develop and maintain platform software supporting Speechify’s products Work with engineering, product, and design teams to deliver reliable solutions Improve existing systems for better performance and scalability Share ideas that help shape the direction of Speechify’s technology Requirements Proven experience building high-quality software Ability to collaborate with cross-functional teams Interest in tackling complex technical challenges This is an onsite role in Cambridge, MA.