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Process Optimization Internship Jobs in Hunt Valley, MD

Sr. Asset Manager

Pikesville, MD · On-site

$100K - $120K/yr

... optimization. To achieve this, close collaboration with the OPS team, including site visits, will ... process monthly lease renewals. * Multi-Family Quarterly Responsibilities - Support lender ...

Asset Manager

Pikesville, MD · On-site

$100K - $120K/yr

... optimization. To achieve this, close collaboration with the OPS team, including site visits, will ... process monthly lease renewals. * Multi-Family Quarterly Responsibilities - Support lender ...

Software Engineer, II - HRC0016263

Baltimore, MD · On-site

$96K - $132K/yr

Internship, research, academic, or personal project experience is encouraged. * Strong problem ... You'll Have the Opportunity to Grow Into Designing and optimizing production-scale data pipelines ...

Networking, distributed processing, and real-time controls * System-of-systems engineering, web ... Implement algorithms developed by senior team members and support their refinement and optimization ...

Showing results 21-40

Process Optimization Internship information

See Hunt Valley, MD salary details

$13

$21

$28

How much do process optimization internship jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for process optimization internship in Hunt Valley, MD is $21.12, according to ZipRecruiter salary data. Most workers in this role earn between $17.40 and $24.71 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during a process optimization internship?

As a Process Optimization Intern, you'll typically be involved in projects that analyze and improve operational workflows within the company. This may include mapping current processes, identifying inefficiencies, collecting and analyzing data, and proposing actionable solutions. Interns often collaborate with cross-functional teams, such as operations, engineering, and quality assurance, to gather insights and implement improvements. These hands-on projects provide valuable exposure to real-world problem-solving and can help build a foundation for a career in process improvement or operations management.

What are the key skills and qualifications needed to thrive as a process optimization intern, and why are they important?

To thrive as a Process Optimization Intern, you need a solid understanding of process analysis, data interpretation, and problem-solving, often supported by coursework in industrial engineering, operations management, or related fields. Familiarity with tools like Microsoft Excel, process mapping software (such as Visio), and data analytics platforms is typically required. Strong communication, attention to detail, and a proactive mindset help interns effectively collaborate with teams and identify improvement opportunities. These skills are crucial for analyzing current workflows and implementing solutions that enhance efficiency and productivity.

What is the difference between Process Optimization Internship vs Process Improvement Specialist?

AspectProcess Optimization InternshipProcess Improvement Specialist
Required CredentialsTypically pursuing or recent graduate in engineering, business, or related fieldsBachelor's or master's in similar fields, with some certifications preferred
Work EnvironmentInternship setting, often in corporate or manufacturing environmentsFull-time role in corporate, manufacturing, or consulting firms
Employer & Industry UsageUsed in companies seeking interns to support process projectsFull-time position focused on analyzing and improving processes
Search & Comparison IntentEntry-level, learning-focused roleProfessional role with ongoing responsibilities

The Process Optimization Internship is an entry-level, temporary position designed for students or recent graduates gaining experience in process improvement. In contrast, a Process Improvement Specialist is a full-time professional responsible for analyzing and enhancing business processes. While both roles focus on process efficiency, the internship emphasizes learning and support, whereas the specialist role involves independent project management and strategic improvements.

What is a process optimization internship?

A Process Optimization Internship is a temporary position, often for students or recent graduates, where you assist organizations in analyzing and improving their business processes. Interns work under the guidance of experienced professionals to identify inefficiencies, suggest solutions, and sometimes help implement new strategies or technologies. This role often involves data analysis, process mapping, and collaboration with various departments to streamline operations and increase efficiency. Process Optimization Internships are common in industries like manufacturing, logistics, consulting, and finance. The goal is to gain practical experience while contributing to the organization's continuous improvement initiatives.
What cities near Hunt Valley, MD are hiring for Process Optimization Internship jobs? Cities near Hunt Valley, MD with the most Process Optimization Internship job openings:
Infographic showing various Process Optimization Internship job openings in Hunt Valley, MD as of June 2026, with employment types broken down into 33% Full Time, 64% Part Time, 1% Contract, and 2% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $43,927 per year, or $21.1 per hour.

2026 PhD Graduate - Autonomous Systems Seeker and Sensor Engineer

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 73 rated research


Job description

Description
Are you looking for a career building deep expertise in a technical area critical to our national defense?
Do you wish to collaborate with and learn from some of the country's top seeker and sensor subject matter experts?
If so, the Strike Guidance, Navigation, Controls (GNC), and Seekers group is looking for newly graduating PhD engineers, mathematicians, physicists, and scientists like you!
Our group's vision is to ensure that the United States maintains a technological advantage on the world stage by leading the development and prototyping of advanced weapons and autonomous systems. We provide state-of-the-art design solutions with a focus on seekers and sensors, guidance, navigation and control systems. We also specialize in embedded systems and multi-disciplinary design, simulation and optimization. If you are graduating in Engineering or Science and desire a rewarding career designing and evaluating advanced weapons and autonomous systems seekers and sensors, we'd love to talk to you about joining our team! We are seeking candidates with academic backgrounds and interest in one or more of the following technical areas:
  • Electromagnetics
  • RF System Design
  • RF Antennas and Technologies
  • RF Communications
  • Radar Systems
  • Optics
  • EO/IR System Design
  • EO/IR Imagers
  • Focal Plane Arrays
  • Digital Signal/Image Processing
  • Detection and Classification Algorithms
  • Circuits/Electronics, Software Defined Radios and Hardware Design

As a member of our team you will...
  • Have the opportunity to conduct cutting edge seeker and sensor research, design, modeling, simulation and analysis while collaborating with adjacent technical domains in the development of next generation autonomous systems and weapons.
  • Develop innovative ways of simulating and predicting seeker and sensor performance in complex operational environments.
  • Lab test seeker and sensor hardware and software to identify operational capabilities and limitations.
  • Work closely with seeker and sensor subject matter experts who will train and mentor you on your path to attaining deeper technical knowledge and experience.
  • Collaborate with our teams of engineers and interact with government sponsors, including platform designers in multi-disciplinary optimization studies for early phase vehicle development.
  • Have the opportunity to continue your education through a variety of educational opportunities such as technical short courses, graduate degree programs, and many more.

Qualifications
You meet our minimum qualifications the job if you...
  • Have a PhD in an Electrical Engineering, Physics, or Mathematics.
  • Are passionate about creative problem solving and applying your skills to the design and development of our nation's next generation weapons and autonomous systems.
  • Have academic background and interest in one or more of the technical areas listed above.
  • Have conducted research; completed one or more internships; and/or possess practical skills in RF, EO/IR or related fields.
  • Are able to obtain an Interim Secret security clearance by your start date and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...
  • Have classroom, project or internship experience working with seekers, sensors and/or autonomous systems.
  • Have familiarity with complimentary disciplines such as: modeling, simulation and analysis; design optimization; software or algorithm development; and hardware testing.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually

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