2

Entry Level Computer Vision Engineer Jobs in State College, PA

Basic computer skills. * Experience with production, inspection, hand tools, and assembly ... Aerotek offers weekly pay, employee benefits including medical, dental & vision, life insurance ...

New

next page

Showing results 1-20

Entry Level Computer Vision Engineer information

See State College, PA salary details

$48.3K

$121.1K

$137K

How much do entry level computer vision engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for entry level computer vision engineer in State College, PA is $121,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,100.00 and $131,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Vision Engineer, and why are they important?

To thrive as an Entry Level Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, often supported by a relevant degree. Familiarity with programming languages like Python or C++, experience with deep learning frameworks (such as TensorFlow or PyTorch), and knowledge of OpenCV are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork set top candidates apart. These skills and tools are essential for developing, optimizing, and implementing computer vision solutions in real-world applications.

What types of projects do entry level computer vision engineers typically work on, and how much collaboration is involved?

Entry level computer vision engineers often work on tasks like annotating datasets, developing and testing algorithms for image or video analysis, and supporting the integration of computer vision models into existing applications. These projects usually require close collaboration with data scientists, senior engineers, and sometimes product managers to ensure models meet performance requirements. It's common to participate in code reviews and team meetings, fostering a supportive learning environment. As you gain experience, you'll likely take on more complex responsibilities and contribute to larger project components.

What does an Entry Level Computer Vision Engineer do?

An Entry Level Computer Vision Engineer assists in developing computer systems that can interpret and process visual information from the world, such as images and videos. They typically work with machine learning algorithms, neural networks, and image processing techniques to solve problems like object detection, facial recognition, and image classification. Their work often involves data annotation, model training, testing, and optimizing algorithms under the guidance of senior engineers. Entry level engineers usually have a background in computer science or related fields and are familiar with programming languages such as Python and libraries like OpenCV and TensorFlow.

What is the difference between Entry Level Computer Vision Engineer vs Computer Vision Analyst?

AspectEntry Level Computer Vision EngineerComputer Vision Analyst
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of ML and CV frameworksBachelor's in CS, Data Science, or related; strong analytical skills
Work EnvironmentTech companies, R&D labs, startups; focus on developing algorithms and modelsData analysis teams, research firms; focus on interpreting CV data and insights
Employer & Industry UsageTech, automotive, robotics, healthcareMarket research, consulting, security, and surveillance

Entry Level Computer Vision Engineers focus on developing and implementing computer vision algorithms, often working in R&D or product teams. In contrast, Computer Vision Analysts primarily interpret and analyze CV data to generate insights. Both roles require a strong technical background, but their daily tasks and industry applications differ.

What job categories do people searching Entry Level Computer Vision Engineer jobs in State College, PA look for? The top searched job categories for Entry Level Computer Vision Engineer jobs in State College, PA are:
What cities near State College, PA are hiring for Entry Level Computer Vision Engineer jobs? Cities near State College, PA with the most Entry Level Computer Vision Engineer job openings:
Infographic showing various Entry Level Computer Vision Engineer job openings in State College, PA as of May 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $121,060 per year, or $58.2 per hour.

Signal Processing Engineer

Penn State University

University Park, PA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Penn State University rating

8.0

Company rating: 8.0 out of 10

Based on 98 frontline employees who took The Breakroom Quiz

146th of 529 rated colleges and universities


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
POSITION SPECIFICS
We are looking for a highly motivated Signal Processing Engineer to join the Advanced Phenomenology Department at the Applied Research Laboratory (ARL) at Penn State University. You will assist our research efforts to develop novel sensing and estimation strategies that facilitate data-driven decision support. Under the mentorship of our R&D staff, you will utilize state-of-the-art tools in machine vision, UxV autonomy, and data processing. Your work will support a unique problem area that have applications in defense, manufacturing, law enforcement, security, and disaster relief. Our highly collaborative team is comprised of adaptable, curious, creative, lateral thinkers with both traditional and non-traditional backgrounds and multidisciplinary points-of-view. We offer opportunities to grow, explore, and experience multiple roles, and we encourage team members to pursue higher degrees and certifications in their field of study.
ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.
You will:
  • Support the research and testing of novel collection methods and strategies using multiple networked asset and evaluate signal processing strategies and UxV autonomy in sea, ground, air and space environments
  • Develop data architectures and pipelines for test and evaluation, document findings and recommend system modifications where needed
  • Research data fusion and estimation frameworks for sensor networks, i.e. Kalman filter approaches
  • Collaborate with geospatial imagery analysts and/or UxV operators to understand and automate data processing workflows and implementations
  • Collaborate with computer vision algorithm developers and data scientists to support the integration of machine learning algorithms
  • Derive physics-based and mathematical models where appropriate for validation and verification
  • Apply scientific method and best practices across multiple disciplines to advance data and geospatial sciences and develop data analytics through systematic experimentation
  • Grow career and capabilities, plan and conduct applied research, provide technical guidance and oversight, contribute to large research efforts, report results, foster trusted relationships with sponsors, and advise on new and evolving technology and techniques
  • Engage in research efforts ranging from proof-of-concept through integrated production

Required skills/experience areas include:
  • Technical skills and training in a field directly applicable or highly related to Computer Science, Applied Mathematics, Engineering, or Geospatial Sciences
  • Interest in the design and development of data fusion and estimation frameworks using heterogenous sensor network configurations
  • Computer programming in one or more of the following: Python, C++, MATLAB, Java
  • Exposure to spatio-temporal data fusion, applicable database architectures and machine learning applications

Preferred skills/experience areas include:
  • Willingness to work within DoD/IC Analysis or Operational environments
  • Willingness and ability to obtain a government security clearance

Your working location will be on-site in State College, PA. Questions related to flexible work should be directed to the hiring manager during the interview process.
MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS
If filled as Research and Development Engineer - Intermediate Professional, this position requires:Bachelor's Degree - Engineering or Science2+ years of relevant experienceRequired Certifications:NoneIf filled as Research and Development Engineer - Professional, this position requires:Bachelor's Degree - Engineering or ScienceNo prior relevant work experience requiredRequired Certifications:None
ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC). FOR FURTHER INFORMATION on ARL, visit our website at www.arl.psu.edu
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
All positions at ARL require candidates to possess the ability to obtain a government security clearance; you will be notified during the interview process if this position is subject to a government background investigation. You must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.
SALARY & BENEFITS
The salary range for this position, including all possible grades, is $76,700.00 - $129,500.00.**THE PROPOSED SALARY RANGE MAY BE IMPACTED BY GEOGRAPHIC DIFFERENTIAL**
Salary Structure - Information on Penn State's salary structure
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Federal Contractors Labor Law Poster
PA State Labor Law Poster
Penn State Policies
Copyright Information
Hotlines

What Penn State University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom