DeVry Bootcamp Logo

DeVry Bootcamp

Online Visiting Professor of Manufacturing and Automation

Reposted 16 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
22-3K Hourly
Mid level
Remote
Hiring Remotely in United States
22-3K Hourly
Mid level
Teaches undergraduate and graduate manufacturing and automation courses in online and blended formats. Develops syllabi, lesson plans, course materials, assessments, and learning activities; uses online technologies and course-related software; grades fairly and provides timely feedback; supports responsible AI use in academic work; and participates in faculty training and development.
The summary above was generated by AI

DeVry University strives to close our society’s opportunity gap and address emerging talent needs by preparing learners to thrive in careers shaped by continuous technological change. Through innovative programs, relevant partnerships, and exceptional care, we empower students to meaningfully improve their lives, communities, and workplaces.

Opportunity:

DeVry University focuses on developing long-term relationships with superior instructors who have high professional standards, excellent communication skills, enthusiasm and a commitment to providing the finest practitioner-focused education. We are seeking primarily industry professionals to teach and share their knowledge and experience with undergraduate and graduate students in a variety of fields.

 

  • Courses meet once or twice a week for eight weeks.
  • Face-to-face interaction is blended with technology (such as online discussions and online assignments) for an enhanced learning environment.
  • Faculty are responsible for facilitating student learning by teaching courses and programs in accordance with DeVry University requirements.
  • Faculty develop course syllabi and lesson plans and apply teaching techniques to best achieve course and programmatic objectives.
  • All DeVry instructors will participate in a comprehensive faculty training program and ongoing faculty development activities to ensure the highest quality instruction. 
  • DeVry University does not guarantee any specific number of work hours or assignments, which may vary based on the University’s needs and discretion.
  • As you explore this opportunity, we invite you to view this brief video highlighting how our faculty engage in meaningful student support.

Responsibilities:

  • Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus, and which includes the terminal course objectives.
  • Organizes, prepares, and regularly revises and updates all course materials.
  • Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students.
  • Models effective oral and written communications that engage the students, provide clarity, and improve student learning. 
  • Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories.
  • Ensures that the content and level of material included on exams correspond to the course terminal objectives.
  • Demonstrates consistency and fairness in the preparation and grading of exams and provides timely feedback to students.
  • Embraces and integrates the responsible use of AI technologies in the classroom to enhance teaching and learning outcomes.
  • Demonstrates the ability to recognize, evaluate, and address appropriate and inappropriate student use of AI tools in academic work.
  • Completes other duties as assigned.

 

Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • A doctorate in Manufacturing Engineering, Industrial Engineering, Engineering Technology, Automation Engineering, or a closely related field is required, with at least 18 graduate credit hours in manufacturing systems, industrial automation, robotics, production engineering, or related technical disciplines.
    • Applicants must upload unofficial graduate-level transcripts with their application.
    • Degrees must be awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or by an international institution determined to hold equivalent accreditation.
  • Three to five years of applied professional experience in manufacturing environments, industrial automation, production engineering, robotics, or advanced manufacturing systems.
  • Demonstrated experience with manufacturing processes and automation technologies, including production systems, programmable logic controllers, robotics, industrial control systems, or smart manufacturing environments.
  • Two to five years of teaching experience at the post-secondary level, preferably in manufacturing technology, industrial automation, robotics, or applied engineering disciplines.
  • Industry-recognized certifications or professional credentials relevant to manufacturing, industrial automation, robotics, or production systems.
  • Strong subject matter expertise in manufacturing systems and automated technologies, combined with effective communication skills and the ability to explain technical concepts to diverse learners.
  • Knowledge of industrial safety standards, quality management practices, and operational efficiency principles within manufacturing environments.
  • Additional requirements driven by state licensing, institutional policy, or accreditation standards may apply.

 

Preferred Qualifications: 

  • Industry certifications related to manufacturing systems, industrial automation, robotics, or production technologies.
  • Experience with advanced manufacturing technologies, such as robotics integration, industrial automation systems, computer numerical control (CNC), additive manufacturing, or smart factory systems.
  • Experience applying industrial operational frameworks, including lean manufacturing, continuous improvement, production optimization, or industrial systems integration.
  • Experience with digital manufacturing technologies, including industrial data systems, industrial internet of things (IIoT), or automated production monitoring.
  • Experience with programmatic or regional accreditation processes, including outcomes assessment, curriculum alignment, and continuous improvement initiatives.
  • Active membership or engagement in professional manufacturing, automation, or industrial technology organizations to maintain current industry knowledge.
  • Experience integrating hands-on laboratory instruction, industrial simulations, automation platforms, and applied production system projects into post-secondary instruction to support experiential learning.

 

Pay:

Visiting Professor pay is based on level, credit hours taught per 8-week session, and location. 

  • Pay may vary in most states from $1500-$2700 per 8-week session.
  • Pay in the states of AZ, CA, IN and PA is paid at an hourly rate of either $22.00/hour or $23.50/hour. 

 

For Visiting Professor roles, we accept applications on an ongoing basis.

DeVry University offers benefit options for Visiting Professors, including:

  • 401(k) and Roth Plan
  • Paid Tuition Program
  • Remote and Flex Work Options
  • Paid Sick Time
  • Technology Stipend

 

We believe that a vibrant and collaborative workplace is essential to our educational mission and the success of our community. We are committed to a workplace environment where all colleagues feel valued, respected, and supported.

DeVry Bootcamp San Jose, California, USA Office

2160 Lundy Ave, Ste 250, San Jose, United States, 95131

Similar Jobs

2 Minutes Ago
In-Office or Remote
2 Locations
165K-242K Annually
Senior level
165K-242K Annually
Senior level
Cloud • Information Technology • Machine Learning
Leads the Launch and Sandboxes engineering team building cloud execution environments, job submission services, compute orchestration, and HPC integrations. Owns roadmap delivery, architecture, reliability, technical debt, customer outcomes, and cross-team coordination. Develops engineers into autonomous leaders while maintaining technical fluency in Go, Python, Kubernetes, distributed systems, authentication, and billing infrastructure.
Top Skills: Authentication SystemsBilling InfrastructureCloud Virtual MachinesContainer OrchestrationDistributed SystemsGoHpc SchedulersKubernetesLlm-Based Coding ToolsPython
2 Minutes Ago
Easy Apply
Remote or Hybrid
Location, WV, USA
Easy Apply
109K-155K Annually
Senior level
109K-155K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Provides second-line support for complex security and networking issues, including troubleshooting, testing, reproducing, and resolving customer problems. Partners with Engineering and Operations, documents incidents, manages enterprise escalations, develops training, mentors engineers, and contributes customer-driven product and code improvements. Requires expertise in web security, network infrastructure, packet captures, and HAR traces, along with 5+ years of relevant troubleshooting experience.
Top Skills: Ai ToolsAWSAzureGCPHar TracesHTTPIpsec VpnNgfwPac FilesPacket Capture AnalysisSAMLSandboxingScimSd-WanSslSsl VpnSwgTcp/Ip
5 Minutes Ago
Remote or Hybrid
126K-215K Annually
Expert/Leader
126K-215K Annually
Expert/Leader
Automotive • Hardware • Internet of Things • Mobile • Software • App development • PropTech
Architect and develop production-grade GenAI systems, including LLM-powered agents, RAG pipelines, tool integrations, multi-agent coordination, memory systems, and chatbot experiences. Lead AI productization across engineering, product, and research teams; establish architecture, infrastructure, observability, coding standards, and delivery practices. Mentor engineers, guide technical roadmaps, and ensure scalable end-to-end deployment across frontend, backend, and ML components.
Top Skills: AutogenAWSAzureCamelComputer VisionFaissGCPGrpc ApisLangchainLanggraphLlamaindexLlmsMcpMlopsNode.jsPineconePythonRagRasaRest ApisVector DatabasesWeaviate

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account