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8 results for Software Engineer in Manchester, NH

Systems Engineer
  • Littleton, MA
  • onsite
  • Permanent / Full Time
  • 65000 - 95000 USD / Yearly
  • We are looking for a motivated entry-level Systems Engineer to join our team in Littleton, Massachusetts. In this role, you will support a variety of hardware and software initiatives, troubleshoot issues, and contribute to system improvements. If you have a passion for technology, enjoy problem-solving, and thrive in a dynamic environment, this position is an excellent opportunity to grow your career.<br><br>Responsibilities:<br>• Diagnose and resolve hardware and software issues across multiple systems.<br>• Support the integration and maintenance of Active Directory, Microsoft Windows Server, and Azure Active Directory.<br>• Assist in managing and optimizing Citrix technologies to enhance system performance.<br>• Collaborate with team members to prioritize and triage technical problems effectively.<br>• Participate in the development and implementation of computer-aided software engineering tools.<br>• Utilize Python to automate tasks and improve system efficiency.<br>• Provide technical support for PC software and laptop hardware.<br>• Document processes and procedures to ensure consistent system operations.<br>• Stay up-to-date with emerging technologies and recommend improvements to existing systems.
  • 2026-05-14T00:00:00Z
Hardware Engineer
  • Cambridge, MA
  • onsite
  • Permanent / Full Time
  • 130000 - 150000 USD / Yearly
  • <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>
  • 2026-06-03T00:00:00Z
Artificial Intelligence (AI) Engineer
  • Laconia, NH
  • onsite
  • Permanent / Full Time
  • 0 - 0 USD / Yearly
  • <p>We are looking for an AI Software Engineer to help design, build, and deploy AI-driven solutions that improve production, quality, and operational efficiency. You’ll work closely with engineering, operations, and data teams to identify high‑value use cases and turn them into scalable, real-world solutions.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Develop and deploy AI/ML models for manufacturing use cases (predictive maintenance, quality inspection, process optimization)</li><li>Work with sensor, production, and ERP data to build actionable insights</li><li>Collaborate with cross‑functional teams to move ideas from concept to production</li></ul><p><strong>What We’re Looking For</strong></p><ul><li>Experience with Python and modern ML frameworks (TensorFlow, PyTorch, scikit-learn)</li><li>Strong software engineering fundamentals and experience deploying models to production</li><li>Interest or background in manufacturing, industrial systems, or operational data</li></ul><p><br></p>
  • 2026-06-05T00:00:00Z
Senior Data Engineer
  • Boston, MA
  • remote
  • Permanent / Full Time
  • 130000 - 160000 USD / Yearly
  • We are looking for a Senior Data Engineer to join a growing data team supporting an innovative healthcare-focused program in Boston, Massachusetts. In this role, you will design and optimize data solutions that transform complex patient, medical, financial, and marketing information into reliable assets for analytics and leadership reporting. This position offers the opportunity to work remotely while partnering closely with technical and business stakeholders to build scalable data pipelines in a modern Azure environment.<br><br>Responsibilities:<br>• Design, build, and maintain robust data pipelines that ingest, transform, and organize information from multiple sources for downstream analytics use.<br>• Develop scalable data engineering solutions using Databricks, Azure Data Factory, SQL, and Python within a cloud-based architecture.<br>• Integrate and prepare diverse datasets, including patient-related, clinical, financial, and marketing data, to support reporting and business insights.<br>• Collaborate with business intelligence partners to deliver clean, dependable datasets that power dashboards, reporting, and decision-making for leadership teams.<br>• Write efficient SQL and transformation logic to solve complex data challenges and improve the performance and reliability of existing workflows.<br>• Partner with architects and cross-functional stakeholders to define data models, engineering standards, and best practices across the platform.<br>• Monitor pipeline health, troubleshoot data issues, and implement improvements that strengthen data quality, accuracy, and operational stability.<br>• Contribute as a senior member of a small engineering team by sharing technical guidance, communicating clearly, and supporting long-term platform growth.
  • 2026-06-03T00:00:00Z
Sr. Python Data Engineer
  • Boston, MA
  • remote
  • Permanent / Full Time
  • 160000 - 180000 USD / Yearly
  • <p><strong>Data Engineer (Python / AWS)</strong></p><p><strong>Location:</strong> Remote (Northeast / Greater Boston area preferred)</p><p><strong>Type:</strong> Full-Time</p><p><strong>Level:</strong> Mid-to-Senior Individual Contributor</p><p><strong>About the Role</strong></p><p>We are looking for a strong individual contributor who excels in the Python data ecosystem and enjoys building reliable, scalable data pipelines. This role sits within a data engineering group responsible for integrating large volumes of data from external partners and transforming it into usable datasets for internal teams. You’ll work with modern cloud tools while also helping our team gradually transition away from a legacy platform.</p><p>This position is ideal for someone who wants to stay hands-on, focus on technical execution, and remain in an IC role for the next several years. We’re not looking for someone who is aiming to move immediately into architecture or leadership.</p><p>This team is fully distributed, and although candidates in the Boston area can go into the office, the rest of the group is remote. Anyone local may occasionally sit with other teams when on site.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Build and maintain ETL pipelines that ingest, clean, and aggregate data received from external vendors and large enterprise partners.</li><li>Develop Python‑based data processing workflows deployed on AWS cloud services.</li><li>Work with tools such as AWS Glue, Airflow, dbt, and PySpark to support data transformations and pipeline orchestration.</li><li>Help modernize existing workflows and assist in the gradual migration away from a legacy data system.</li><li>Collaborate with internal stakeholders to understand data needs, define requirements, and ensure reliable integration of partner data feeds.</li><li>Troubleshoot pipeline issues, optimize performance, and improve overall system stability.</li><li>Contribute to best practices around code quality, testing, documentation, and data governance.</li></ul><p><br></p>
  • 2026-06-09T00:00:00Z
Senior Machine Learning Engineer
  • Boston, MA
  • remote
  • Permanent / Full Time
  • 180000 - 200000 USD / Yearly
  • We are looking for a highly experienced Senior Machine Learning Engineer to join our team in Boston, Massachusetts. In this role, you will design, develop, and deploy cutting-edge machine learning systems that solve complex problems and scale effectively in production environments. This position offers an exciting opportunity to contribute to impactful projects, leveraging your expertise in machine learning, cloud infrastructure, and data engineering.<br><br>Responsibilities:<br>• Build and deploy machine learning models and solutions for production environments, ensuring they meet scalability and performance standards.<br>• Design and implement comprehensive ML pipelines, including data ingestion, feature engineering, model training, evaluation, and serving.<br>• Write clean, efficient code in Python and leverage its ML ecosystem, such as TensorFlow, PyTorch, and scikit-learn.<br>• Work with large datasets to extract meaningful insights and develop complex queries using modern data processing tools.<br>• Utilize containerization technologies like Docker and cloud platforms such as AWS to ensure robust and scalable deployment.<br>• Apply MLOps best practices, including CI/CD pipelines, automated testing, and performance monitoring, to maintain reliable machine learning systems.<br>• Conduct research and apply deep machine learning and AI techniques, including statistical modeling and large language models.<br>• Solve complex analytical problems with pragmatic engineering approaches while maintaining scientific rigor.<br>• Collaborate with cross-functional teams to align machine learning solutions with business goals and mission-driven objectives.<br>• Monitor and address issues like data drift and model performance to ensure continuous improvement and reliability.
  • 2026-06-09T00:00:00Z
Senior Director of Engineering
  • Boston, MA
  • onsite
  • Permanent / Full Time
  • 190000 - 250000 USD / Yearly
  • <p>We are looking for a Senior Director of Engineering to lead platform innovation and guide the development of advanced software solutions in Boston, Massachusetts. This leader will shape engineering direction for AI- and automation-driven products, support high-performing managers and teams, and partner closely with product and technical stakeholders to turn strategy into scalable execution. The ideal candidate brings a strong software development foundation, excels in customer-facing environments, and is energized by mentoring teams while influencing architecture, delivery, and long-term platform growth.</p><p><br></p><p>Responsibilities:</p><p>• Define and lead the engineering strategy for a next-generation platform focused on AI and automation</p><p>• Manage and develop engineering leaders, with direct oversight of two engineering managers and broader responsibility for a team of approximately 10 to 15 engineers.</p><p>• Translate product vision and roadmap priorities into technical plans that support scalable, reliable, and secure platform delivery.</p><p>• Guide architectural decisions, participate in design discussions, and contribute meaningful feedback during code reviews and technical evaluations.</p><p>• Oversee the creation and validation of proof-of-concept solutions to assess emerging technologies and accelerate product innovation.</p><p>• Partner with cross-functional leaders to advance AI adoption across products and bring new intelligent capabilities to market.</p><p>• Strengthen team performance through effective people leadership, delivery planning, process improvement, and strong project execution practices.</p><p>• Engage with customers and internal stakeholders to understand business needs, communicate technical direction, and align engineering outcomes with user impact.</p><p>• Maintain an on-site leadership presence in Boston, Massachusetts one day per week to support collaboration with executive and engineering partners.</p>
  • 2026-06-03T00:00:00Z
IT Security Specialist
  • Cambridge, MA
  • onsite
  • Permanent / Full Time
  • 90000 - 110000 USD / Yearly
  • We are looking for a dedicated IT Security Specialist to join our team in Cambridge, Massachusetts. The ideal candidate will play a key role in maintaining the integrity, confidentiality, and security of data across our systems. This position requires a proactive individual with a strong background in cybersecurity and governance practices.<br><br>Responsibilities:<br>• Implement and monitor security protocols to ensure the protection of sensitive data and systems.<br>• Conduct regular audits and assessments to identify vulnerabilities and ensure compliance with data privacy regulations.<br>• Develop and enforce security policies and procedures to safeguard computer files and databases.<br>• Collaborate with cross-functional teams to address cybersecurity risks and enhance overall security posture.<br>• Analyze security incidents and provide recommendations for mitigation and prevention.<br>• Manage and maintain secure access controls for databases and information systems.<br>• Provide training and awareness programs to educate staff on cybersecurity best practices.<br>• Stay up-to-date with emerging threats and technologies to continuously improve security measures.<br>• Assist in the development and execution of governance strategies related to cybersecurity.<br>• Prepare detailed reports on security performance and compliance findings for management review.
  • 2026-05-19T00:00:00Z