10 software development engineer jobs found in Boston

Job Summary: The School of Engineering and Applied Sciences (SEAS) seeks a highly motivated and technically skilled Senior Design Engineer for Active Learning to support and advance hands-on, studio-based, and laboratory-driven engineering education across undergraduate and graduate programs. Reporting to the Director for Design and Fabrication Instruction, this position plays a key role in the support a broad portfolio of programs, including the Master in Design Engineering (MDE), the MS/MBA in Engineering Sciences, undergraduate senior capstone design projects (ES100), and other design, innovation, and interdisciplinary fabrication-based learning courses (ES227, ES55). The Senior Design Engineer will collaborate with faculty, teaching staff, and students to develop experiential learning experiences, mentor multidisciplinary project teams, provide advanced technical guidance, and maintain safe, inclusive, and effective learning environments. The position requires strong...

As a High-Performance Computing (HPC) Engineer, you will support the implementation, operation, and lifecycle management of secure and scalable HPC environments that enable computational research across HMS. Working as part of the Research Computing Infrastructure team, you will contribute to the provisioning and administration of compute clusters, workload scheduling systems such as Slurm, user-facing software environments, and secure platforms that meet institutional compliance needs. This role emphasizes hands-on technical execution, operational reliability, and collaboration with colleagues and researchers to support evolving HPC workflows and infrastructure.  Core Duties: Perform provisioning, configuration, and decommissioning of HPC compute clusters. Support the administration and tuning of workload schedulers (e.g., Slurm) to ensure efficient job management and cluster utilization. Help maintain secure, regulated compute environments (e.g., NIST 800-171). Contribute...

Be a pioneer in business, education, and global impact by joining the Harvard Business School Digital Transformation team - a “startup with assets,” where you will have the chance to deploy cutting-edge digital and emerging-technology education solutions. Where else can you make a difference at the intersection of cutting-edge technology, world-class education, noble purpose, and timeless legacy?   As a Machine Learning and Generative AI Engineer on our team, you will help lead the development of innovative generative AI products that address the needs of our constituents (students, alumni, faculty, researchers, staff, and the community at large). This key technical leadership role requires hands-on expertise across the full machine learning and AI lifecycle. You will collaborate with data scientists, product managers, and data engineers to operationalize AI models in production, drive core platform capabilities, and apply these in a variety of domains. You will also develop...

The Senior Software Engineer role focuses on developing secure new applications and functionality, enhancing and supporting existing applications, providing system redundancy, and collaborating closely with AA&D staff and cross-functional teams to deliver innovative, cost-effective, and timely solutions. The Senior Software Engineer is responsible for leading application development efforts and adhering to Software Development Life Cycle (SDLC) best practices. The role performs the full application development lifecycle, including requirements gathering, functional analysis, design, development, unit testing, documentation, implementation, maintenance, and support of applications and reports. Key responsibilities include developing PL/SQL stored procedures, functions, packages, triggers, and supporting database objects. The role may leverage Oracle AOP, Dynamic SQL, ref cursors, bulk collection, explain plans, materialized views, shell scripting, and performance tuning...

The Core for Computational Biomedicine (CCB) in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS) is looking for a Machine Learning Engineer with advanced expertise to lead development of large language models (LLMs) to advance CCB’s mission to leverage data and computation to transform research and education, and to improve health outcomes. CCB provides computational and analytic resources to advance scientific discovery within HMS through its multi-disciplinary team of computational and quantitative scientists who work on collaborative projects both within the center and with members of the HMS community. The selected candidate will play a pivotal role in advancing the center's mission to harness the power of computational techniques in the field of medicine. By developing medical LLMs, the engineer will contribute to educating the next generation of medical students and enhancing clinical decision-making processes. Key Responsibilities:...

BAIN CAPITAL OVERVIEW With approximately $215 billion of assets under management, Bain Capital is one of the world’s leading private investment firms. We create lasting impact for our investors, teams, businesses, and the communities in which we live. Over four decades we have strategically grown our platform to focus on Private Equity, Growth & Venture, Capital Solutions, Credit, and Real Assets. Today, our team includes 1,985+ employees in 24 offices on four continents.  We partner differently to help people and companies embrace possibility and realize potential. Founded as a private partnership in 1984, we have fostered a culture of innovation, entrepreneurialism, and agility, empowering our people to define and own their career trajectories. Today, our partnership approach enables us to pursue strategic growth, build enduring relationships with a robust external network, and collaborate across our integrated platform to connect the deep and diverse expertise that...

The SBGrid Consortium at Harvard Medical School supports a large international research community by curating and distributing a scientific software platform used across structural biology, cryo-EM, and related fields. The platform includes approximately 650 software titles and 6,000 versions across macOS and Linux and is deployed across laptops, workstations, HPC clusters, and cloud environments. We are hiring a Scientific Platform Engineer to help lead the modernization, security, reliability, and engineering evolution of this platform. This is a platform engineering role with substantial independent responsibility for CI pipelines, reproducible packaging, deterministic installation, release engineering, runtime hardening, observability, and software supply-chain integrity. The role is designed to be primarily engineering and platform-development work, not routine support, and it directly impacts software delivery and platform reliability across a globally distributed scientific...

Job Summary: Participate in the design of software that supports and enriches research productivity and reliability; implement software solutions.  Develop software and data services with researchers to ensure that modern standards of reproducible code are kept. Job-Specific Responsibilities: We are looking for a highly skilled Bioinformatics Software Engineer who specializes in designing, developing, deploying, and maintaining scalable bioinformatics pipelines on cloud-based infrastructure. The candidate will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT Data Analysis Center that manages multi-omic data (e.g., Illumina/PacBio/ONT Whole Genome Sequencing (WGS), RNA-Seq). The ideal candidate will have a deep understanding of next-generation sequencing (NGS) data analysis, workflow automation, cloud computing, and cloud software engineering best practices. This role will support research and production...

The Harvard Medical School Department of Biomedical Informatics seeks a skilled Genomic Data Curator to join our team within the Somatic Mosaicism across Human Tissues (SMaHT) Data Analysis Center. The Park Lab is a bioinformatics research group in the Department of Biomedical Informatics at Harvard Medical School. Our main aim is to understand the genetic and epigenetic mechanisms that underlie disease processes through computational and statistical analysis of genomic data. We are particularly interested in mutational processes in normal and cancer cells and their impact in gene regulation. The successful candidate will manage, harmonize, and standardize datasets mapping genetic variations across human tissues.  Key Responsibilities:  Data Harmonization : Clean, transform, and map diverse genomic and clinical datasets into unified standard formats. Metadata Enrichment : Author and apply standard biological ontologies and rigorous metadata labels to dataset...

About you: You are a collaborative, impact-focused problem solver who wants to be part of a dynamic team dedicated to creating and commercializing novel approaches to global challenges in healthcare and sustainability. You are excited by the opportunity to explore your scientific interests and apply your knowledge to tackle ambitious projects in a fast-paced, entrepreneurial environment with strong support from scientific, operational, and administrative experts. You enjoy working with highly motivated, diverse teams and leveraging your expertise to drive innovations that can change the world.  About the role: We are looking for a Research Assistant III to join the Lymph Node Organ on Chip team in Dr. Don Ingber’s laboratory. We use advanced Lymph Node Organ Chip models to recapitulate key aspects of human immunobiology to study human immune responses against vaccines, pathogens and/or foreign antigens, tumor–immune interactions, inflammation, environmental exposures, and...