ZipRecruiter

Log In

1

Manufacturing Intelligence Software Jobs in California

SirenOpt

Lead Software Engineer

San Leandro, CA · On-site

Our manufacturing intelligence platform scans materials, revealing critical internal information ... A Lead Software Engineer at SirenOpt is a technical and cultural leader with deep expertise across ...

next page

Showing results 1-20

All JobsManufacturing Intelligence Software JobsManufacturing Intelligence Software Jobs in California

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 California are hiring for Manufacturing Intelligence Software jobs?

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

Manufacturing Intelligence Software jobs near you

Principal Software Engineer, Manufacturing Intelligence

Socket.dev

Los Angeles, CA • On-site

$120 - $180/hr

Other

Posted 6 days ago

Job description

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

We are seeking an experienced Principal Software Engineer to lead the technical design and engineering of systems to predict and remediate challenges in manufacturing customers' parts. This team's solutions combine ML model predictions, part geometry information, and customer information to help us accurately predict manufacturing cost and find the partners to manufacture parts successfully. This role does not require previous knowledge of manufacturing or ML, though it is helpful.


The ideal candidate will have at least 8+ years of total experience in the industry, including a minimum of 4 years as technical leader of a fast-moving, collaborative team. This position requires both technical leadership and hands-on contribution. Our teams are highly collaborative, cross-functional, and rapidly iterating and innovating.


Responsibilities:



  • Hands-On Technical Leadership: Adopt a 'lead by example' approach by actively coding and troubleshooting, as well as creating documentation and technical diagrams.

  • Teaching & Mentorship: You will serve as a technical mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills.

  • Code Review: You will do code review and mentor others within the organization regarding best practices in ML Engineering.

  • Operational Excellence: Guarantee the delivery of superior infrastructure and software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines.

  • Collaborative Strategy: Forge strong partnerships with product managers, data scientists, and company leadership to promote a culture of open communication and integrated team dynamics.

  • Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance problem-solving efficiency and effectiveness across the AI/ML organization.


Qualifications:



  • At least 8 years of experience in software engineering or similar technical roles.

  • A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science or a related field is preferred and may substitute for some years of experience.

  • Proficiency in software engineering best practices, including object-oriented design, code versioning, and testing as well as experience improving a team's use of these practices

  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (Docker and Kubernetes)

  • Experience designing, building, and managing distributed computing systems

  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams

  • Demonstrated ability to manage multiple projects simultaneously, prioritizing tasks and managing resources effectively

  • Demonstrated ability to interact and communicate effectively at all levels of the organization, from executives to product managers and a wide variety of stakeholders and contributors

  • Must be a US Citizen or Green Card holder (ITAR)


#LI-Hybrid

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.


For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

#J-18808-Ljbffr

Apply