ZipRecruiter

Log In

1

Manufacturing Intelligence Software Jobs in Massachusetts

Cognex

Principal Manufacturing Engineering

Natick, MA

$98K - $182K/yr

Using advanced optics, image sensors and artificial intelligence software Cognex vision and ID ... The Principal Manufacturing Engineer is a senior technical contributor who leads complex ...

Bostondynamics

Senior Staff Manufacturing Engineer

Waltham, MA · On-site

$98K - $134K/yr

... and intelligence. Our cutting-edge robots, including the iconic Atlas, Spot, and Stretch, are ... Expert-level proficiency in CAD software (SolidWorks, CATIA, or similar) for tool/fixture design ...

Lumafield

Systems Software Engineer

Boston, MA · On-site

$120 - $170/hr

Lumafield was founded in 2019 to upgrade manufacturing. We are engineers with deep experience ... We're building for greater intelligence, autonomy, and speed. For deeper vision, operational ...

next page

Showing results 1-20

All JobsManufacturing Intelligence Software JobsManufacturing Intelligence Software Jobs in Massachusetts

Manufacturing Intelligence Software information

What is manufacturing intelligence software?

Manufacturing Intelligence Software refers to digital tools and platforms that collect, analyze, and visualize data from manufacturing operations to help businesses optimize production, quality, and efficiency. These systems integrate data from machines, sensors, and enterprise software to deliver real-time insights, enabling companies to make informed decisions and quickly respond to issues. By using Manufacturing Intelligence Software, manufacturers can reduce downtime, improve product quality, and enhance overall productivity.

What are the key skills and qualifications needed to thrive in manufacturing intelligence software roles?

To thrive in Manufacturing Intelligence Software roles, you need a solid background in data analysis, process engineering, and manufacturing operations, often supported by a degree in engineering, computer science, or a related field. Familiarity with MES (Manufacturing Execution Systems), SCADA, data visualization tools, and experience with programming languages such as SQL or Python are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals interpret data insights and collaborate with cross-functional teams. These skills are crucial for optimizing manufacturing processes, driving operational efficiency, and enabling data-driven decision-making in an industrial environment.

How does a professional in manufacturing intelligence software typically collaborate with production and engineering teams?

Professionals working in Manufacturing Intelligence Software often play a key role in bridging the gap between IT systems and production or engineering teams. They gather requirements from manufacturing stakeholders, translate them into software solutions, and ensure that data flows seamlessly between different shop floor systems. Regular collaboration involves troubleshooting data issues, optimizing system performance, and training team members on new software tools. Strong communication skills are essential, as these professionals must explain technical concepts to non-technical staff and incorporate feedback to improve system usability.

What is the difference between Manufacturing Intelligence Software vs Manufacturing Data Analyst?

FeatureManufacturing Intelligence SoftwareManufacturing Data Analyst
CredentialsTypically requires technical skills, data analysis, and industry knowledgeRequires analytical skills, often with degrees in data science, statistics, or engineering
Work EnvironmentSoftware development, data integration, and factory floor supportData analysis, reporting, and process improvement in manufacturing settings
UsageUsed to monitor, analyze, and optimize manufacturing processes through software toolsInterprets data outputs from manufacturing systems to inform decision-making

Manufacturing Intelligence Software focuses on developing and implementing tools to analyze manufacturing data, while Manufacturing Data Analysts interpret this data to improve processes. Both roles are essential in modern manufacturing but serve different functions within the industry.

What cities in Massachusetts are hiring for Manufacturing Intelligence Software jobs?

Cities in Massachusetts with the most Manufacturing Intelligence Software job openings:

Manufacturing Intelligence Software jobs near you

Staff Machine Learning Engineer, Technical Lead

Boston, MA • On-site

Paperless Parts
Software Development • 11 - 50 employees
Learn more about Paperless Partsexternal

Full-time

Re-posted 20 days ago

Job description

Job Summary:
Paperless Parts is a SaaS startup helping manufacturers quote faster and win more work. They are seeking a Staff Machine Learning Engineer, Technical Lead to drive R&D execution and lead the technical efforts in building the core manufacturing intelligence engine. This role involves mentoring early-career engineers and operationalizing machine learning infrastructure to solve complex manufacturing challenges.
Responsibilities:
• Drive R&D Execution: Own planning and execution of the AI/ML pod’s backlog. Partner closely with the Chief Scientist and other engineering pods to ensure the research pipeline aligns smoothly with border product timelines.
• Prototype and Transition: Lead the hands-on prototyping of novel solutions and transition of successful proofs-of-concept into production-ready services. Guide the strategic migration of workloads, identifying opportunities to shift repetitive tasks from expensive frontier models to fine-tuned, open-source architectures.
• Operationalize ML Infrastructure: Develop scalable, repeatable approaches to labeling data, training models, and deploying services that support our products with AI capabilities.
• Design Rigorous Benchmarks: Define and track metrics that evaluate the effectiveness and costs of our AI-powered solutions, enabling key technology decisions to be data-driven.
• Mentor the Pod: Act as the technical anchor and primary mentor for early-career ML engineers. Cultivate an engineering culture of deep theoretical and practical rigor through hands-on pairing and comprehensive design and code reviews.
Qualifications:
Required:
• 8+ years of experience in relevant R&D roles with a strong background in SaaS products at scale
• Advanced Academic Foundation: a technical degree in Computer Science, Applied Mathematics, or closely related field, with a strong understanding of the mathematics behind modern AI/ML techniques is essential.
• AI/ML Fundamentals: A robust understanding of core machine learning and deep learning theory, including neural networks, statistical modeling and inference, and metric learning.
• MLOps: Experience working with cloud-native patterns for ML pipelines, including platforms like AWS SageMaker.
• Communication Mastery: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and influence decisions without relying on authority.
Preferred:
• start-up to scale-up transition experience preferred
• An advanced degree and track record of peer-reviewed publications is a strong plus when paired with proven software experience in industry.
Company:
Paperless Parts is a manufacturing intelligence company building a new type of marketplace for custom parts. Founded in 2017, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

Apply