<p>We are looking for a Sr. Software Engineer. This role is suited for someone who enjoys building modern web applications, creating reliable backend services, and working across the full software development lifecycle. The ideal candidate brings strong experience with Microsoft-based technologies and a practical approach to delivering scalable, maintainable solutions in a collaborative environment.</p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and maintain software applications using C# and .NET technologies across both backend and web-based systems.</p><p>• Build responsive user interfaces with modern front-end tools such as Angular, JavaScript or TypeScript, along with HTML5 and CSS3.</p><p>• Create and integrate RESTful APIs to support application functionality and enable communication between services.</p><p>• Develop database-driven features and write efficient queries for relational database platforms.</p><p>• Apply object-oriented design methods and established engineering standards to produce clean, testable, and maintainable code.</p><p>• Collaborate with cross-functional team members in an Agile/Scrum setting to plan, deliver, and refine application features.</p><p>• Use source control tools such as Git to manage code changes, support team development, and maintain version history.</p><p>• Contribute to application architecture, troubleshooting, and performance improvements throughout the development process.</p>
<p>We are looking for a Hardware Engineer to join our team in Boston, Massachusetts and support the design and deployment of machine vision hardware solutions for industrial applications. This role is ideal for someone with a mechanical engineering foundation who enjoys translating real-world operating conditions into practical camera, lighting, and system configurations. You will work closely with internal teams and customers to improve imaging performance, document deployment standards, and help validate reliable hardware setups for both pilot programs and production environments.</p><p><br></p><p>Responsibilities:</p><p>• Assess customer environments by reviewing operating conditions such as motion, available space, lighting variability, and mounting limitations to determine effective vision system setups.</p><p>• Develop hardware recommendations that align with application needs, including cameras, lenses, illumination components, compute platforms, and network connectivity equipment.</p><p>• Refine camera placement, lighting approach, and viewing angles to improve defect detection and overall imaging quality across different use cases.</p><p>• Create clear technical documentation such as configuration records, wiring layouts, setup instructions, and deployment diagrams to support repeatable installations.</p><p>• Support hands-on testing and qualification activities to confirm hardware performance, durability, and reliability before broader rollout.</p><p>• Visit customer sites as needed to assist with installation planning, validate hardware selections, and troubleshoot field performance issues.</p><p>• Define hardware use cases for industrial automation environments, including scenarios that may involve integration with programmable logic controllers.</p><p>• Partner with cross-functional teams to identify vision-related issues, propose corrective hardware changes, and optimize system designs for production demands.</p>
<p>Join a growing engineering team supporting commercial wireless and communications projects. This is a hands-on RF engineering role focused on designing, testing, and optimizing wireless networks, including 5G, LTE, and LMR systems.</p><p><br></p><p>What You'll Do</p><ul><li>Design, analyze, and troubleshoot RF and wireless systems</li><li>Perform propagation modeling, coverage analysis, and field testing</li><li>Support 5G/LTE and public safety radio network projects</li><li>Conduct RF compliance, interference, and PIM studies</li><li>Prepare technical reports and engineering deliverables</li><li>Work directly with customers and cross-functional engineering teams</li><li>Support zoning and permitting activities as a technical resource</li></ul><p><br></p><p>Why Consider This Opportunity?</p><ul><li>Work on cutting-edge 5G, LTE, and public safety communications projects</li><li>Mix of office and field work (approximately 70/30)</li><li>Exposure to a wide variety of wireless technologies and engineering challenges</li><li>Growth opportunity into project leadership and advanced RF engineering specialties</li></ul>
We are looking for an experienced Chief Information Security Officer to provide strategic technology and security leadership for a mission-driven nonprofit in Boston, Massachusetts. This Long-term Contract opportunity is ideal for a senior leader who can evaluate current risk exposure, strengthen protection of sensitive donor and client information, and shape a practical roadmap for cybersecurity, data governance, and resilience. The position combines executive-level advisory work with hands-on involvement in infrastructure, disaster recovery planning, and security operations in a Microsoft 365 and Azure-based environment.<br><br>Responsibilities:<br>• Develop a comprehensive security and IT risk strategy aligned with the organization’s mission, operational needs, and compliance expectations.<br>• Assess the current technology landscape and produce a prioritized roadmap covering cybersecurity improvements, data governance, business continuity, and disaster recovery readiness.<br>• Lead gap analyses focused on data protection, incident response, network security, backup practices, and overall resilience against breaches or service disruptions.<br>• Establish and refine policies for information handling, document classification, retention, and archiving to better safeguard confidential legal, community, and donor records.<br>• Partner with leadership, the internal IT manager, and external service providers to strengthen day-to-day security operations and improve oversight of help desk and technology vendors.<br>• Provide senior guidance on protecting cloud and on-premises systems, including Microsoft 365, Azure services, shared file environments, servers, and network infrastructure.<br>• Support planning and execution for critical technology upgrades and security enhancements while minimizing operational risk to the organization.<br>• Advise on incident preparedness by defining response procedures, escalation paths, and recovery approaches for cyber threats, system outages, and data integrity events.<br>• Deliver practical recommendations to executive stakeholders on technology priorities, risk posture, and investments needed to support long-term organizational stability.
We are looking for a Computer Vision Engineer to join a growing team building AI-driven solutions for manufacturing environments in Cambridge, Massachusetts. In this role, you will create and deploy vision models that interpret live camera feeds to support defect detection and workflow monitoring across industrial settings. This position is ideal for an engineer who enjoys turning machine learning concepts into reliable production systems and collaborating closely with technical teams to deliver measurable operational value.<br><br>Responsibilities:<br>• Design, train, and refine computer vision models for manufacturing use cases such as defect identification, anomaly detection, and step-by-step task tracking.<br>• Build production-ready Python-based machine learning pipelines using frameworks such as PyTorch or TensorFlow.<br>• Work with image and video data captured from facility cameras to develop accurate and scalable real-time analysis solutions.<br>• Deploy and support vision applications in cloud and edge environments, including AWS services such as S3 and EC2.<br>• Collaborate with engineering leadership and cross-functional teammates to translate customer needs into practical model and system designs.<br>• Create solutions from the ground up using supervised and unsupervised learning techniques where appropriate.<br>• Improve system performance through testing, evaluation, and iterative tuning of algorithms in live operational settings.<br>• Participate in periodic onsite visits to customer facilities to understand workflows, validate model behavior, and support implementation.