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5 results for Engineer in Manchester, NH

Hardware Engineer

Cambridge, MA
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
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. Responsibilities:• Assess customer environments by reviewing operating conditions such as motion, available space, lighting variability, and mounting limitations to determine effective vision system setups.• Develop hardware recommendations that align with application needs, including cameras, lenses, illumination components, compute platforms, and network connectivity equipment.• Refine camera placement, lighting approach, and viewing angles to improve defect detection and overall imaging quality across different use cases.• Create clear technical documentation such as configuration records, wiring layouts, setup instructions, and deployment diagrams to support repeatable installations.• Support hands-on testing and qualification activities to confirm hardware performance, durability, and reliability before broader rollout.• Visit customer sites as needed to assist with installation planning, validate hardware selections, and troubleshoot field performance issues.• Define hardware use cases for industrial automation environments, including scenarios that may involve integration with programmable logic controllers.• Partner with cross-functional teams to identify vision-related issues, propose corrective hardware changes, and optimize system designs for production demands.
2026-06-03T00:00:00Z

Artificial Intelligence (AI) Engineer

Laconia, NH
onsite
Permanent / Full Time
0 - 0 USD / Yearly
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. What You’ll Do<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>What We’re Looking For<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>
2026-06-05T00:00:00Z

Network Engineer

Lawrence, MA
onsite
Temporary / Contract
63.3365 - 73.337 USD / Hourly
We are looking for an experienced Network Engineer to support and enhance complex enterprise network environments. This Long-term Contract position is ideal for a detail-oriented individual who can combine deep technical expertise with strong project coordination and stakeholder communication. The role will focus on maintaining secure, high-performing connectivity across corporate, retail, cloud, and data center networks while contributing to infrastructure improvements and scalable solution design. Responsibilities: • Deliver advanced Tier 2 and Tier 3 network support by diagnosing escalated issues, resolving service disruptions, and identifying underlying causes across enterprise environments. • Deploy and improve network infrastructure solutions, including security-focused changes involving firewalls, access segmentation, trust boundaries, and external partner connectivity. • Meet with business and technical stakeholders to collect project requirements, understand application traffic patterns, and translate operational needs into network solutions. • Create structured rollout plans that clearly outline implementation steps, milestones, dependencies, and communication points for assigned initiatives. • Assess opportunities to strengthen global network performance, resiliency, and security through informed recommendations based on routing, switching, and traffic flow analysis. • Perform technical planning for new and evolving technologies by applying architectural guidance, supporting deployment strategies, and contributing to network standards. • Develop solution designs and proposals that align business needs with established engineering practices and support application connectivity requirements. • Produce clear project and operational documentation, including technical diagrams, implementation records, budget inputs, workflow details, and transition materials for support teams. • Lead assigned network projects through completion by coordinating tasks, tracking progress, and maintaining regular communication with stakeholders and delivery partners. • Provide direction to entry-level engineers and external vendors during configuration, implementation, testing, and ongoing operational activities.
2026-06-17T00:00:00Z

Senior Director of Engineering

Boston, MA
onsite
Permanent / Full Time
190000 - 250000 USD / Yearly
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. Responsibilities:• Define and lead the engineering strategy for a next-generation platform focused on AI and automation• Manage and develop engineering leaders, with direct oversight of two engineering managers and broader responsibility for a team of approximately 10 to 15 engineers.• Translate product vision and roadmap priorities into technical plans that support scalable, reliable, and secure platform delivery.• Guide architectural decisions, participate in design discussions, and contribute meaningful feedback during code reviews and technical evaluations.• Oversee the creation and validation of proof-of-concept solutions to assess emerging technologies and accelerate product innovation.• Partner with cross-functional leaders to advance AI adoption across products and bring new intelligent capabilities to market.• Strengthen team performance through effective people leadership, delivery planning, process improvement, and strong project execution practices.• Engage with customers and internal stakeholders to understand business needs, communicate technical direction, and align engineering outcomes with user impact.• Maintain an on-site leadership presence in Boston, Massachusetts one day per week to support collaboration with executive and engineering partners.
2026-06-03T00:00:00Z

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. Responsibilities: • Build and deploy machine learning models and solutions for production environments, ensuring they meet scalability and performance standards. • Design and implement comprehensive ML pipelines, including data ingestion, feature engineering, model training, evaluation, and serving. • Write clean, efficient code in Python and leverage its ML ecosystem, such as TensorFlow, PyTorch, and scikit-learn. • Work with large datasets to extract meaningful insights and develop complex queries using modern data processing tools. • Utilize containerization technologies like Docker and cloud platforms such as AWS to ensure robust and scalable deployment. • Apply MLOps best practices, including CI/CD pipelines, automated testing, and performance monitoring, to maintain reliable machine learning systems. • Conduct research and apply deep machine learning and AI techniques, including statistical modeling and large language models. • Solve complex analytical problems with pragmatic engineering approaches while maintaining scientific rigor. • Collaborate with cross-functional teams to align machine learning solutions with business goals and mission-driven objectives. • Monitor and address issues like data drift and model performance to ensure continuous improvement and reliability.
2026-06-09T00:00:00Z