Building Engineer I

Role Overview The Building Engineer I at LPC supports the daily operation and maintenance of building systems in Cambridge, MA. Working under the guidance of senior engineers, this role focuses on HVAC, plumbing, and electrical systems. The position involves routine maintenance, responding to tenant requests, and helping ensure safe, efficient building operations. Main Responsibilities Perform regular maintenance, repairs, and inspections of building systems. Respond to service requests, including temperature adjustments, plumbing issues, and lighting repairs. Diagnose minor equipment problems and escalate complex issues to senior staff as needed. Replace light fixtures, filters, and other key components. Keep accurate records of inspections and system performance. Communicate clearly with tenants, contractors, and property managers to resolve concerns and coordinate activities. Work closely with senior engineers and technicians to support smooth building operations. Assist with preventive maintenance tasks and oversee contractor work when required. Conduct property inspections to identify and document deficiencies. Record equipment readings to confirm compliance with operational standards. Follow safety protocols, wear required PPE, and comply with OSHA, NEC, NFC, and NFPA regulations. Report hazards and participate in safety inspections. Offer guidance to junior technicians when needed. Communicate professionally in both verbal and written formats with teammates, leadership, vendors, tenants, and client employees. Collaborate with senior engineers to build technical skills and participate in professional development programs. Complete additional duties as assigned.

We are seeking a dedicated Lead Building Engineer to manage the daily operations and maintenance of our building systems, ensuring optimal performance and safety. In this role, you will supervise engineering staff and contractors while maintaining high operational standards.Key Responsibilities:Oversee the operational efficiency of HVAC, plumbing, and electrical systems.Plan and coordinate preventive maintenance and emergency repairs.Manage service contractors to ensure adherence to building standards.Guide and mentor junior engineers and technicians, setting performance goals and evaluating their progress.Work collaboratively with tenants, contractors, and property managers to ensure smooth building operations and address tenant concerns.Coordinate with vendors to define scopes of work and monitor contract compliance and quality control.Conduct regular inspections of the building and proactively address any deficiencies.Implement and manage preventive maintenance schedules effectively.Document equipment readings and ensure systems operate within standards.Adhere to company safety protocols, ensuring compliance with OSHA, NEC, NFC, and NFPA regulations, and maintain safety training logs.Communicate professionally with team members, leadership, vendors, tenants, and clients to keep all parties informed.Perform additional duties as required.

Join our dynamic team at Ramboll as a Structural Engineer specializing in building structures across multiple levels. We are seeking a passionate individual who is eager to tackle complex engineering challenges and contribute to innovative designs that enhance the built environment. You will collaborate closely with architects, contractors, and other engineering disciplines to ensure the successful execution of projects.Your expertise will play a vital role in delivering high-quality solutions, optimizing structural performance, and adhering to industry standards. This role offers the opportunity to work on a diverse portfolio of projects while advancing your professional development in a supportive environment.

ABOUT THE ROLEJoin our dedicated Building Consultancy team, where you will engage in a diverse array of responsibilities ranging from contract and project management to professional services, including Technical Due Diligence (TDD), dilapidations, and fire safety assessments.Your role will involve regular, direct communication with institutional fund management clients, landlords, consultants, and tenants, ensuring that we meet their needs effectively.Our team blends technical expertise with commercial insight to fulfill specific client requirements across our nationwide office network.Key clients include prominent firms such as Columbia Threadneedle, Hammerson, M&G, Landsec, BlackRock, and Federated Hermes.WHAT MATTERS MOST IN THIS ROLEBuilding and nurturing strong professional relationships with clients, tenants, and colleagues is essential for your success. We encourage proactiveness and initiative in your work.You will be responsible for managing multiple building surveying instructions for a variety of key clients, demonstrating your ability to adhere to timelines and provide regular updates throughout the project lifecycle.Understanding client briefs and meeting their expectations will be fundamental to your success.Clients will rely on your expertise and guidance for schedules of dilapidations, pre-acquisition surveys, due diligence, development monitoring, defect diagnosis, fire safety advice, and condition reports.You may take on roles as a designer, contract administrator, project manager, or a combination of these.Other Responsibilities Include:Effectively managing the project process from inception through to completion.Collaborating with landlords and tenants on ESG initiatives, advising on environmentally sustainable practices and materials.Supporting the development of less experienced team members and assuming leadership roles when appropriate.Formulating a strategic view on the lifecycle of property assets and comprehending the clear objectives of client briefs.Being present to seize business opportunities and demonstrating a desire to advance your career.Mentoring and managing a small team of surveyors, including apprentices and graduates, while supporting their continued education.WHAT WE EXPECT FROM YOUA proactive, practical, and positive approach to your work is essential.Exceptional communication skills with a focus on building a strong reputation among clients.You must be an MRICS chartered surveyor.Prior experience in commercial property consultancy is preferred.WHY WORKMAN?We offer hybrid working arrangements to promote a healthy work-life balance, requiring a minimum of three days in the office each week.

Join our team as an Apprentice Building Surveyor at AECOM in Cambridge! This is a fantastic opportunity for individuals eager to kick-start their careers in building surveying. You will gain practical experience while working alongside seasoned professionals in a dynamic and collaborative environment.Your responsibilities will include assisting in the preparation of reports, conducting site inspections, and supporting project management activities. This role is perfect for those looking to learn and grow in the field of building and construction surveying.

We are seeking a passionate and detail-oriented Scientist I to join our innovative team at Integrated Resources Inc. This entry-level position offers a fantastic opportunity to contribute to groundbreaking research and development projects. You will work closely with experienced scientists to support various laboratory activities, including experimental design, data collection, and analysis.

Join Harvard University as a Building Operations Manager, where you will oversee the daily operations of our facilities to ensure a safe, efficient, and welcoming environment for students, faculty, and visitors. You will play a pivotal role in maintaining building systems, managing maintenance teams, and coordinating with various departments to achieve operational excellence.

Join Ramboll as a Rail Buildings Associate/Director, where you will lead innovative projects in rail building design and management. In this pivotal role, you will collaborate with multidisciplinary teams, ensuring the successful delivery of rail infrastructure projects while adhering to industry standards and client expectations.

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.

We are seeking a motivated and detail-oriented Scientist I to join our dynamic team in Cambridge. The ideal candidate will have a strong background in scientific research, with a passion for innovation and problem-solving. This entry-level role offers an exciting opportunity to contribute to groundbreaking projects and advance your career in a collaborative environment.

Your Contribution at Lila Sciences Lila Sciences is on the lookout for a motivated Automation Engineer I to enhance our Integrated Automation Engineering Team. This role offers an exciting opportunity to engage in the creation and refinement of our state-of-the-art automated workcells. As an Automation Engineer I, you will be pivotal in diagnosing and addressing operational challenges while fueling the innovation that propels our objective of achieving scientific superintelligence. Your responsibilities will encompass pioneering automation solutions in life science laboratories and extending into material and physical sciences, thereby supporting a myriad of applications, including drug discovery, bioengineering, and advanced material characterization. This position promises to equip you with invaluable hands-on experience in an energetic and collaborative environment, aiding in the cultivation of a broad skill set that will be beneficial for your future endeavors in science and technology. Your Responsibilities Identify, categorize, and resolve issues associated with automated workcells. Efficiently troubleshoot software and electro-mechanical systems, swiftly learning new technologies and documenting processes for team knowledge sharing. Proactively pinpoint potential failure points and spearhead initiatives to mitigate them. Develop automated processes or tools to facilitate the attainment of Lila's objectives. Collaborate on significant projects to gain practical experience and create a tangible impact, including initiatives focused on proactive issue identification, preventive maintenance, and AI integration into troubleshooting operations.

Your Impact at Lila In this pivotal role, you will spearhead the innovation and validation of advanced pooled assays utilizing mammalian cells. Your work will encompass everything from proof of concept to automated screening processes, enabling the generation of intricate, high-dimensional datasets. This position involves collaboration across cell biology, protein design, and nucleic acid teams to facilitate biologic development programs, focusing on the rapid assessment of binding, stability, function, and immunogenicity of diverse biologics. What You'll Be Building Create next-generation mammalian display-based assays for binding, stability, function, and immunogenicity. Implement cutting-edge multiomic, single-cell, and in situ sequencing workflows to design innovative, highly multiplexed assays. Collaborate with protein design, nucleic acid, and automation teams to leverage these workflows in biologics development. Closed-Loop Experimentation and Execution: Work closely with engineering and automation teams to architect automated, high-throughput experimentation platforms that yield data-rich workflows. Join forces with the AI team to conduct iterative experiments in real time, facilitating rapid optimization and discovery cycles. Collaborate, Lead & Communicate: Engage with cell biologists, synthetic biologists, automation engineers, protein design scientists, and data scientists to document systems, share insights, and refine best practices in autonomous science. Mentor junior scientists, align project milestones with internal and external collaborators, contribute to intellectual property and publications, and present findings across the organization. What You’ll Need to Succeed Ph.D. in Chemical/Biomedical Engineering, Biochemistry, Pharmaceutical Sciences, Immunology, or a related discipline (or M.S./B.S. with 5–8+ years of relevant industry experience). Proficiency in the development and/or application of mammalian display or similar pooled mammalian systems (perturb-seq, MPRA, etc.). Experience in designing, executing, and analyzing single-cell, in situ, or multiomic sequencing experiments. Expertise in creating complex libraries of defined sequences in mammalian cells. Experience in designing, executing, and analyzing flow cytometry and sorting experiments. Familiarity with next-generation sequencing (NGS) based experimental design and analysis.

The Engine supports Tough Tech entrepreneurs who are developing solutions for major global challenges. As a nonprofit, the organization connects founders with infrastructure, funding, and operational support to help turn breakthrough science and technology into real-world impact. Role overview The Chief Growth Officer (CGO) will lead The Engine through its next phase of growth. This executive shapes partnership strategies, drives revenue initiatives, and works to strengthen the organization’s market position. The CGO also serves as a strategic advisor to the CEO and leadership team, providing input on key organizational decisions. Who should apply Experienced leaders with a background in Tough Tech, either as entrepreneurs or commercial executives Individuals with a track record of scaling organizations and launching first-of-a-kind (FOAK) projects Candidates who have advocated for Tough Tech founders and engaged with the broader ecosystem Location This position is based in Cambridge.

Role Overview Harvard University seeks a Building Services Assistant in Cambridge to help maintain the quality and safety of campus facilities. This position plays a direct part in creating a clean, welcoming environment for everyone on campus. What You Will Do Carry out routine cleaning throughout university buildings Assist with basic maintenance tasks as needed Work alongside other team members to meet campus standards Workplace This role is based on-site at Harvard University in Cambridge.

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.

Your Role at Lila SciencesJoin our innovative Physical Sciences division, where you will spearhead the development of intelligent agent-driven systems designed to enhance AI-accelerated and AI-orchestrated process engineering across diverse industrial applications. In this pivotal role, your mission will be to create methodologies empowering AI agents to reason, design, simulate, optimize, and operate complex physical and chemical processes using both traditional and machine learning-driven process engineering tools. You will focus on building agentic infrastructures that facilitate AI systems in planning and executing multi-step process engineering workflows, which include process synthesis, flowsheet generation, steady-state and dynamic simulation, control strategy design, and techno-economic evaluation. Your contributions will significantly influence how Lila's scientific superintelligence addresses real-world challenges through closed-loop autonomous process engineering.Your ContributionsDesign and implement agentic frameworks supporting comprehensive process engineering workflows, encompassing process setup, simulation, optimization, and analysis.Create AI agents capable of autonomously planning, executing, and refining process engineering tasks utilizing existing tools such as steady-state and dynamic simulators, optimizers, and data systems.Investigate agentic strategies for advanced objectives, including process intensification, control co-design, real-time optimization, and closed-loop learning informed by operational data.Enhance the robustness, interpretability, and reproducibility of agent-driven process engineering workflows; develop internal tools for debugging, observability, validation, and auditability.Collaborate with interdisciplinary teams to apply agentic process engineering across a wide range of industrial applications.

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!

COMPANY DESCRIPTION Flagship Pioneering is a groundbreaking bioplatform innovation organization dedicated to inventing and building transformative companies that make a positive impact on the world. We unite exceptional scientific talent with entrepreneurial visionaries and mobilize substantial capital to enable bold advancements in human health, sustainability, and beyond. Our innovative efforts span critical areas such as disease detection and treatment, nature-positive agriculture, and pioneering applications of AI that catalyze the development of new technologies. What distinguishes Flagship is our unique ability to propel science and technology forward by integrating innovation, company creation, and capital investment within a cohesive framework that is largely unprecedented. Our scientific founders, entrepreneurial leaders, and professional capital managers share a commitment to an institutionalized process that empowers us to innovate and transform for the betterment of humanity and the planet. Many of our founded companies have tackled some of the most pressing challenges facing humanity: from vaccinating billions against COVID-19 to curing complex diseases, enhancing human health, preempting illness, and bolstering global food security through improved agricultural resilience and sustainability. Flagship has earned recognition on FORTUNE’s “Change the World” list, celebrating companies that have made a significant social and environmental impact through their core business strategies, and has been named twice to Fast Company’s annual list of the World’s Most Innovative Companies. THE ROLE We are on the lookout for a Senior Scientist I or II to spearhead microbial strain engineering initiatives that will support a pioneering biological platform within one of our stealth mode startups. This position will concentrate on the design, construction, and optimization of engineered microbial strains aimed at enabling scalable production systems. The ideal candidate will manage strain development cycles from genetic design to experimental validation, collaborating closely with our discovery and bioprocess development teams to translate initial biological insights into robust strains suitable for fermentation environments. This role will also provide technical leadership within our technical operations function and aid in establishing best practices for microbial engineering in a dynamic and collaborative R&D setting.

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.

Your Impact at Lila As a Machine Learning Engineer on the Physical Sciences team, you will play a pivotal role in developing and managing comprehensive, scalable machine learning workflows. These workflows will address a wide range of scientific challenges in materials science, chemistry, and physical sciences. Your contributions will be instrumental in advancing research initiatives focused on cutting-edge algorithms, driving towards the establishment of scientific superintelligence to tackle today’s most significant challenges in physical sciences. What You Will Build Design, implement, and sustain end-to-end ML pipelines, encompassing data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. Productionize models and services while ensuring robust testing, observability, and documentation in collaboration with cross-functional software teams; develop CI/CD workflows and automated evaluations to facilitate safe and frequent releases. Work closely with domain scientists and platform engineers to translate research insights into high-performing, scalable systems. Participate in technical design reviews, establish coding standards, and mentor colleagues on best practices. What You’ll Need to Succeed BS, MS, or PhD in Computer Science, Engineering, or a related quantitative field, or equivalent industry experience. A solid foundation in Python software engineering, including testing, packaging, and typing; experience with machine learning frameworks such as PyTorch and Hugging Face. Experience deploying ML services in cloud-based environments (FastAPI/GRPC, containers, orchestration, cloud infrastructure). Hands-on experience with deploying models in production systems (LLMs, multimodal models, databases, RAG) along with strong debugging and profiling skills. Effective communication and collaboration in cross-functional settings. Bonus Points For Familiarity with scientific or engineering domains (materials, chemistry, physics) and related data formats/benchmarks. Experience in GPU optimization (CUDA, Triton, compilation, distributed training). Previous contributions to open-source ML or scientific software. Experience with workflow orchestration, data provenance, or large-scale computing environments. About Lila Lila Sciences stands as the pioneering platform for scientific superintelligence, offering an autonomous laboratory dedicated to life sciences, chemistry, and materials science. We are at the forefront of a new era of limitless discovery, harnessing AI to revolutionize research and innovation in these fields.