Staff System Software Engineer

Your Impact at Lila Sciences Lila Sciences is on the lookout for a highly skilled Staff/Principal Mechanical Engineer to enhance our Hardware & Controls Engineering team. The specific title—Staff or Principal—will align with your level of experience and expertise. As a pivotal technical leader, you will apply your extensive knowledge to design and develop components for workcell robotics, mechanical systems, and automation within the realms of life sciences and physical sciences. You'll collaborate with a diverse team of experimental scientists, AI/ML specialists, software engineers, and process automation experts to spearhead intricate projects, mentor multidisciplinary teams, and deliver cutting-edge automation solutions. What You Will Be Creating Oversee the design and execution of bench-scale robotics and mechanical systems for advanced automation in life science and physical science applications. Craft innovative pneumatic, electro-mechanical, and optical solutions tailored for state-of-the-art robotic workcells utilized in biological research and materials discovery. Lead and mentor teams in advanced CAD design and analyses using SolidWorks, optimizing systems for high-throughput workflows. Manage the creation and validation of designs through rapid prototyping techniques such as 3D printing and laser cutting. Facilitate cross-functional collaborations to seamlessly integrate mechanical designs with software and controls across scientific fields. Devise strategies to convert manual processes into automated workflows while adhering to stringent safety and quality standards. Coordinate with external suppliers for bespoke component development and system integration. What You Need to Succeed A Bachelor's or Master's degree in Mechanical Engineering, Robotics, or a related discipline. 8+ years of mechanical engineering experience, showcasing proven expertise in life science and physical science automation (title will be aligned with experience & expertise). Extensive proficiency in SolidWorks CAD design, GD&T, and DFMA methodologies. In-depth experience utilizing requirement management systems, product lifecycle management, and product data management systems. Proven leadership in managing complex projects and mentoring engineering teams. Bonus Points For Significant experience in automation across scientific disciplines, with a strong command of SolidWorks CAD design, PDM, and related technologies.

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.

Join our dynamic team at ttp1 as a Mechanical Engineer. In this role, you'll leverage your engineering expertise to design innovative solutions and contribute to exciting projects. Our ideal candidate is a creative problem-solver who thrives in a collaborative environment. If you're passionate about engineering and looking to make a significant impact, we want to hear from you!

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.

Are you a talented Mechanical Design Engineer looking to make a significant impact in the field of Cellular Origins? Join our dynamic team at ttp1, where innovation meets collaboration. In this role, you will leverage your engineering expertise to design cutting-edge mechanical systems that enhance our product offerings and drive our mission forward.

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-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.

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.

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.

Join Riverlane as a Staff Testing Engineer in Cambridge, UK. This is a full-time, permanent position offering a hybrid working model.Salary: £95,000 to £120,000, depending on experience, plus bonus and benefits.We offer a competitive salary range based on the candidate's experience, industry knowledge, and relevant skills. Every offer will be tailored to reflect the applicant's background and accomplishments.Part-time applications are welcome. Please indicate your preferred working schedule in your cover letter.About RiverlaneAt Riverlane, we are on a mission to revolutionize quantum error correction (QEC) to facilitate a new era of technological advancement. Our work spans various fields, including material and climate science and drug design simulations, showcasing the potential of quantum computing in addressing humanity's grand challenges. As the leading organization in QEC technology, we are committed to overcoming the industry's most significant technical challenges.With over $125M in funding, we are accelerating our pioneering research and development in QEC and collaborating with top quantum hardware companies and government entities to make fault-tolerant quantum computing a reality.

Join our innovative team at ttp1 as a Mechanical Design Engineer specializing in diagnostics. In this role, you will be instrumental in designing and developing cutting-edge diagnostic tools that will enhance the life sciences sector. Collaborate with multidisciplinary teams to drive projects from concept to completion, ensuring they meet the highest standards of quality and efficiency.

Location: Cambridge, UK | Employment Type: Full-time | Contract Type: Permanent | Work Arrangement: HybridSalary Range: £90,000 to £115,000 depending on experience + Bonus + BenefitsWe are open to considering part-time applications for this role. Please specify your preferred working hours in your cover letter.About UsAt Riverlane, we are on a mission to master quantum error correction (QEC), paving the way for breakthroughs in material science, climate science, and drug design. Quantum computers are set to tackle some of humanity's most pressing challenges, and we are proud to lead the industry in QEC technology. Our team thrives on a blend of expertise, innovation, and passion, which are essential to overcoming this complex problem. With over $125M in funding, we collaborate with top global quantum hardware providers and government agencies to make fault-tolerant quantum computing a reality.

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.

We are seeking a highly skilled Senior Maintenance Mechanic to join our team in Cambridge. In this role, you will be responsible for performing complex mechanical repairs and maintenance on various equipment and machinery. The ideal candidate will possess a strong mechanical aptitude, exceptional problem-solving skills, and the ability to work independently as well as part of a team.

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 as a PhD Mechanical Engineer - Technical Consultant, where you'll leverage your expertise in mechanical engineering to provide cutting-edge solutions in the Health Tech sector. Collaborate with multidisciplinary teams to drive projects that enhance healthcare technologies, ensuring they meet the highest standards of quality and efficiency.

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.

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 Engine as a Senior Associate in Community OperationsAt Engine, we empower visionary founders who are tackling the world's most critical challenges in areas such as climate change, health, and advanced technologies. Our commitment includes providing robust support through founder programs, access to shared infrastructure and labs, and the opportunity to connect with a diverse national network of corporate partners, investors, and industry experts.