1

Predictive Maintenance Phd Jobs (NOW HIRING)

Engineer V

San Diego, CA · On-site

$105K - $189K/yr

Typically requires a bachelors degree, masters degree or PhD in engineering or a related technical ... Experience developing and implementing Predictive Maintenance or Reliability-Centered Maintenance ...

Sr. Engineer, Advanced Process Controls

Painted Post, NY · On-site

$82K - $108K/yr

... predictive maintenance Key Responsibilities * Design, develop, and implement controls solutions for ... S. or PhD in Electrical, Mechanical, or Chemical Engineering (or a related field) with coursework ...

next page

Showing results 1-20

Predictive Maintenance Phd information

See salary details

$12

$31

$56

How much do predictive maintenance phd jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for predictive maintenance phd in the United States is $31.57, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $38.22 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Predictive Maintenance PhD, and why are they important?

To excel as a Predictive Maintenance PhD, you need advanced knowledge in data analysis, machine learning, and reliability engineering, typically backed by a doctorate in engineering or a related quantitative field. Expertise with statistical software (such as Python, R, or MATLAB), industrial IoT platforms, and condition monitoring systems is highly valued. Strong problem-solving abilities, effective communication, and the capacity to collaborate with multidisciplinary teams set top candidates apart. These competencies enable accurate failure predictions and optimal maintenance strategies, minimizing downtime and maximizing asset performance.

What is the difference between Predictive Maintenance Phd vs Maintenance Engineer?

AspectPredictive Maintenance PhdMaintenance Engineer
Required CredentialsPhD in Engineering, Data Science, or related fieldBachelor's or Master's in Engineering or related field
Work EnvironmentResearch labs, corporate R&D, or specialized analytics teamsIndustrial plants, manufacturing facilities, or maintenance departments
Industry UsageFocus on developing predictive models, algorithms, and researchImplementing maintenance strategies, troubleshooting, and equipment upkeep

Predictive Maintenance Phd professionals typically focus on research, developing advanced predictive models, and data analysis, often working in labs or R&D settings. Maintenance Engineers apply these insights in real-world industrial environments, performing maintenance tasks and ensuring equipment reliability. While both roles require technical knowledge, the Phd emphasizes research and development, whereas Maintenance Engineers focus on practical application and operational maintenance.

What are some common challenges faced by Predictive Maintenance PhDs when implementing machine learning models in industrial environments?

Predictive Maintenance PhDs often encounter challenges such as dealing with heterogeneous and sometimes incomplete datasets, ensuring the reliability of sensor data, and integrating machine learning models with existing legacy systems. Another common hurdle is the need to balance model complexity with interpretability for non-technical stakeholders. Collaboration with cross-functional teams, including maintenance engineers and IT specialists, is essential to ensure that predictive solutions are both technically robust and practically actionable on the shop floor.

What is a Predictive Maintenance PhD?

A Predictive Maintenance PhD refers to an individual who has earned a doctoral degree specializing in predictive maintenance, which is a field focused on using data analysis, machine learning, and statistical methods to predict equipment failures before they occur. This expertise is valuable in industries like manufacturing, transportation, and energy, where minimizing downtime and optimizing maintenance schedules are crucial. Professionals with this background develop advanced algorithms and research new techniques to improve maintenance strategies and increase operational efficiency. Their work often involves interdisciplinary knowledge in engineering, data science, and computer science.
Infographic showing various Predictive Maintenance Phd job openings in the United States as of May 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $65,662 per year, or $31.6 per hour.
Automotive HW Methodology Principal Engineer

Automotive HW Methodology Principal Engineer

Qualcomm

San Diego, CA • On-site

Full-time

Posted 29 days ago


Qualcomm rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

4th of 186 rated software companies


Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > ASICS Engineering
General Summary:
Define and drive end-to-end Predictive Maintenance solutions for automotive SoCs, spanning hardware architecture, DFT infrastructure, software enablement, and silicon reliability. The role requires strong SoC architecture experience and a deep understanding of the silicon development lifecycle, from early architecture definition through implementation, validation, qualification, and production. The position works across multiple domains and teams to ensure Predictive Maintenance capabilities are architected, implemented, and productized as part of automotive SoC platforms.
Roles and Responsibilities
  • Architect and own Predictive Maintenance solutions across hardware, DFT, software, and reliability domains for automotive SoCs.
  • Drive SoC-level architecture decisions to enable silicon health monitoring, aging prediction, and proactive failure mitigation.
  • Collaborate closely with SoC architecture, DFT, reliability, manufacturing, technology, and software teams throughout the full silicon development cycle (architecture, design, validation, qualification, and production).
  • Translate reliability and safety requirements into concrete hardware, DFT, and software mechanisms.
  • Influence methodology, infrastructure, and roadmap decisions to ensure scalable and reusable Predictive Maintenance solutions across automotive programs.
  • Collaborate with academic partners to explore and develop future models and data analysis techniques.
  • Represent Predictive Maintenance and silicon health topics in architecture reviews, safety reviews, and cross-functional technical forums.

Minimum Qualifications:
• Bachelor's degree in Science, Engineering, or related field and 8+ years of ASIC design, verification, validation, integration, or related work experience.
OR
Master's degree in Science, Engineering, or related field and 7+ years of ASIC design, verification, validation, integration, or related work experience.
OR
PhD in Science, Engineering, or related field and 6+ years of ASIC design, verification, validation, integration, or related work experience.
Preferred Qualifications:
  • Strong SoC architecture experience with a solid understanding of the full silicon development lifecycle (architecture definition through production).
  • Broad cross-domain knowledge spanning hardware design, DFT/test infrastructure, firmware/software interaction, and system-level reliability.
  • Experience with DFT technologies such as MBIST, ATPG, LBIST, in-system test, and structural test reuse.
  • Good understanding of silicon aging, reliability mechanisms, and automotive qualification expectations (e.g., lifetime, availability, AEC-Q100).
  • Understanding of AI/ML models and data analysis techniques.
  • Proven ability to drive cross-functional technical solutions in complex, matrixed engineering organizations.
  • Automotive or other safety-critical SoC experience is highly desirable.

Principal Duties and Responsibilities:
• Leverages expert ASIC knowledge and experience to define, model, design (digital and/or analog), optimize, verify, validate, implement, and document IP (block/SoC) development for a variety of high performance, high quality, low power products.
• Creates highly advanced architectures, circuit specifications, logic designs, and/or system simulations based on system-level requirements.
• Collaborates with high-level representatives across functional teams (e.g., software architecture, hardware architecture, product management, program management teams) to develop and execute an implementation strategy that meets system requirements and customer needs.
• Serves as an expert resource for all aspects of the process flow from high-level design to synthesis, place and route, timing and power use, and verification or similarly for custom circuit design/layout flow.
• Utilizes tools/applications (e.g., RTL to GDS Flow, Virtuoso) to execute and enable highly advanced architecture and design of multiple complex blocks/SoC or IC Packages; provides technical expertise and support to team members.
• Writes detailed technical documentation for highly complex EDA/IP/ASIC projects; reviews technical documentation for experienced engineers.
Level of Responsibility:
• Decision-making is critical in nature and highly impacts program, product, or project success.
• Requires verbal and written communication skills to convey highly complex and/or detailed information. May require strong negotiation and influence with large groups or high-level constituents.
• Has a great degree of influence over key organizational decisions (e.g., is making or directly making key decisions that will have substantial impact over the organization).
• Tasks often require multiple steps which can be performed in various orders; extensive planning, problem-solving, and prioritization must occur to complete the tasks effectively.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$192,000.00 - $288,000.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.

Qualcomm logo

About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985