Lead Principal Software Engineer for Instrument Simulations

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!

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.

COMPANY DESCRIPTION Extuitive, a pioneering startup backed by Flagship Pioneering, is redefining product innovation for the AI age. Our mission is to equip entrepreneurs and direct-to-consumer (D2C) brands with AI-powered tools that streamline, expedite, and enhance the launch of new products. Situated in Cambridge, MA, we function like a specialized operations team—agile, data-informed, and unwaveringly committed to making a significant impact. THE ROLE As a Principal Backend Developer, you will serve as a technical leader, responsible for the architecture, development, and scalability of the core backend systems that drive our platform. You will spearhead the design of high-throughput services, resilient data pipelines, and ensure seamless integration with essential third-party providers. Collaborating closely with product managers, designers, and engineering leadership, you will translate intricate requirements into robust, sophisticated systems that foster rapid growth. Additionally, you will mentor engineers, shape long-term technical strategies, and evolve our platform architecture to ensure security and reliability as we expand. KEY RESPONSIBILITIES Own Core Backend Systems – Design, implement, and manage scalable services, APIs, and platform infrastructure while ensuring reliability, observability, and maintainability. Drive Large-Scale Data Pipelines – Architect and operate high-volume, resilient data pipelines for ingestion, transformation, and analytics. Lead Third-Party Integrations – Build and maintain integrations with external vendors, ensuring reliability, observability, and long-term maintainability. Influence Architecture & Best Practices – Shape backend architecture, coding standards, testing frameworks, CI/CD pipelines, and operational excellence. Mentor & Lead Engineers – Provide guidance on system design, debugging at scale, and engineering practices. Wear Multiple Hats – Assist with DevOps, troubleshooting, or other platform needs as required.

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 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!

Join Castle, the innovative finance app designed to save homeowners both time and money.Castle empowers homeowners to manage all their home expenses seamlessly in one platform. By tracking transactions, Castle identifies money-saving opportunities, enabling users to save an average of over $10,000.As housing affordability becomes increasingly challenging across the U.S., Castle aims to provide homeowners with superior data for managing their largest asset. We are developing payment infrastructure for the biggest consumer category in the U.S., helping individuals automate, consolidate, and reduce their expenses.In this role, you will be a vital and adaptable member of our engineering team, dedicated to crafting a more intuitive and streamlined experience for homeowners. You will work closely with our Head of Engineering, Head of Design, and fellow engineers to create a user-friendly application that simplifies complex home expense management and fosters long-term trust with our customers. This position is ideal for someone who is enthusiastic about tackling intricate challenges and shaping a compelling product experience in a fast-paced, early-stage company.Your Key Responsibilities Will Include:Develop and maintain RESTful APIs using the Django framework.Manage and optimize our cloud infrastructure.Oversee CI/CD pipelines along with monitoring, logging, and alerting systems.Build pivotal features such as:A bill payment system for processing ACH and check payments;An AI-powered system for recording payments made outside of the Castle environment;A data pipeline that transforms customer data into actionable insights.To Succeed in This Role, You Will Need:Proficiency in Python and the Django framework.Expertise in RESTful API design.Experience with distributed systems architecture.Strong background in cloud infrastructure and associated tools.Familiarity with CI/CD practices and tools.

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 Contribution at Lila Sciences Be a part of our mission to revolutionize science! We are on the lookout for a skilled Senior Backend Software Engineer to become a vital member of our software platform team. In this role, you will work alongside talented software engineers, laboratory scientists, and machine learning engineers to develop advanced tools for automated scientific analysis and beyond. Your focus will be on Python development, web services, and data engineering, creating impactful scientific applications. If you excel in a dynamic, collaborative environment and advocate for best practices in git, development workflows, and user-centered design, we invite you to apply! Your Projects Service Design & Development: Craft and build high-performance, secure, and well-documented code that seamlessly integrates with our existing services and applications. System Optimization: Identify and resolve system bottlenecks, ensuring high availability and low-latency performance across extensive workloads. Cloud Infrastructure: Utilize AWS services, Kubernetes, and modern DevOps methodologies to construct and deploy scalable production-grade systems. Collaborative Integration: Partner with ML researchers, engineers, and scientists to incorporate data pipelines, APIs, and cloud infrastructure into scientific workflows and services.

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!

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.

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 Role at Lila Sciences We are in search of a Senior Software Engineer to become a pivotal member of our Applied AI team, contributing to the development of our next-generation AI-powered scientific platform. This position involves designing and refining backend systems, data pipelines, and AI integrations that facilitate intelligent, data-centric applications. You will operate at the crossroads of backend engineering and machine learning, ensuring that our platform scales effectively and supports state-of-the-art applied AI methodologies such as Retrieval-Augmented Generation (RAG), agentic AI, and large language model (LLM) integration. This opportunity is perfect for individuals who excel at merging software engineering with applied AI, transforming research into production-level systems that foster genuine scientific breakthroughs. If you are driven by the challenge of building high-performing, sophisticated systems that maximize the utility and impact of AI, we would be eager to connect with you! Your Contributions Applied AI Integration: Design and implement backend services and data pipelines that underpin advanced AI applications, including LLMs, RAG, and agentic frameworks. API & Service Development: Create high-performance APIs and microservices that facilitate seamless interactions between AI models, scientific tools, and user-facing applications. Data Pipeline Architecture: Architect and oversee scalable pipelines adept at managing structured, unstructured, and vectorized data for AI/ML workloads. Database & Knowledge Systems: Develop and optimize SQL, NoSQL, and vector databases to ensure low-latency AI retrieval and inference tasks. Cloud & Infrastructure: Utilize AWS, Kubernetes, and infrastructure-as-code (Terraform/CloudFormation) to construct resilient, production-ready AI platforms. Performance & Reliability: Identify system bottlenecks, optimize for efficiency and speed, and guarantee the reliability and fault-tolerance of AI-driven processes. Collaboration: Work closely with ML researchers, platform engineers, and scientists to translate models and algorithms into scalable, production-ready solutions.

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 our innovative team at ttp1 as a Robotic Software Engineer. In this pivotal role, you will develop cutting-edge robotic software solutions that enhance our capabilities and drive our projects forward. Your expertise will be crucial in designing, testing, and implementing software for robotic systems, working alongside a dedicated team of engineers and scientists.If you are passionate about robotics and eager to contribute to groundbreaking technology, we invite you to apply and be a part of our journey!

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.

This Integration Software Engineer position is based in Cambridge, UK and offers a hybrid working arrangement. The role is full-time and permanent. Salary: £65,000 - £80,000, depending on experience. The final offer will reflect relevant experience, transferable skills, and previous achievements. Applicants are encouraged to mention their preferred working schedule in the cover letter. Role overview This role focuses on integrating software solutions that support the advancement of quantum error correction (QEC) technology. Riverlane works at the intersection of quantum computing and fields such as material science, climate research, and drug design. Integration Software Engineers play a key part in developing and connecting systems that help address the technical challenges of QEC. About Riverlane Riverlane is committed to developing quantum error correction technology, aiming to unlock the full potential of quantum computers. The company partners with quantum hardware providers and government agencies to drive progress toward fault-tolerant quantum computing. With over $125 million raised, Riverlane continues to expand its research and development efforts in this area.