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Part Time Tools Programmer Jobs (NOW HIRING)

ATA Engineering, Inc

Engineering Software Programmer

CA · On-site

$85K - $125K/yr

Experience with Nastran, NX, Femap, or other CAE tools preferred. * Willing to travel and ... No contractors or part-time applications will be accepted. * Excellent verbal and written ...

Best Fit Global

Developer - Programmer

Washington, DC · On-site

An ideal candidate will have a solid understanding of DevOps principles, practices and tools, and ... jobs in Java. Part Time or Full Time: Full-time Notes: Certification Requirements: Schedule ...

Best Fit Global

Developer - Programmer

Washington, DC · On-site

An ideal candidate will have a solid understanding of DevOps principles, practices and tools, and ... jobs in Java. Part Time or Full Time: Full-time Notes: Certification Requirements: Schedule ...

Hasana, Inc.

Web Developer/Programmer

New York, NY · On-site

Must be a full or part-time student and working toward a degree in computer science or a related ... Development experience using extensible web authoring tools. * Experience developing and ...

Booz Allen Hamilton, Inc.

CNC Programmer

Panama City, FL · On-site +1

$61K - $141K/yr

Knowledge of tooling selection to include selection the appropriate cutting tools, speeds, and feed ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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$125K

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How much do part time tools programmer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for part time tools programmer in the United States is $125,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $143,000.00 per year, depending on experience, location, and employer.

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Part-Time Research Assistant/Programmer - Yanxi Liu

University Park, PA • On-site

Penn State University
Colleges, Universities, and Professional Schools • 51 - 200 employees
Learn more about Penn State Universityexternal

$21/hr

Part-time

Re-posted 20 days ago

Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

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.
JOB DESCRIPTION AND POSITION REQUIREMENTS
The Department of Computer Science and Engineering is seeking part-time Research Assistant/Programmer to assist with robotics and machine learning research as well as data collection and data analysis. This project is led by Dr. Yanxi Liu in the School of EECS at Penn State. This position is a unique opportunity to contribute to cutting-edge research.
Position Details
  • Anticipated Start Date: 6/30/25
  • End Date: TBD
  • Weekly Hours: 20 +/- hours per week (flexible scheduling)
  • Compensation: $21 per hour

The following are foundational and necessary skills:
Programming & Environment:
  • Python
  • Proficient in scripting, data manipulation, and debugging
  • NumPy
  • Experience with array operations, broadcasting, and vectorization
  • Linux / Unix
  • Familiarity with shell commands, SSH, file structures, and scripting
  • Git
  • Version control using GitHub or GitLab

Mathematics & Geometry:
  • Linear Algebra
  • Basic matrix operations
  • Coordinate Systems
  • Understanding of world, camera, and image spaces
  • 3D Transformations
  • Rotation, translation, scaling, etc., homogeneous coordinates

Deep Learning:
  • Experience with at least one deep learning framework such as PyTorch or TensorFlow
  • Understanding of:
    • Neural network architecture (e.g., CNNs)
    • Loss functions, optimization, and backpropagation
    • Training, evaluation, and debugging
    • Computer Graphics & Vision Fundamentals
    • Computer graphics basics
    • Mesh structure (vertices, faces, normals)
    • Coordinate transformations
    • Local vs. global frames, extrinsics/intrinsics

Application Instructions
To apply, please submit a resume and a cover letter detailing your background, relevant experience, and interest in this project, in WorkDay.
For inquiries, you may contact Dr.Yanxi Liu at yul11@psu.edu or Dr. Robert Collins at rtc12@psu.edu. We look forward to your application and the prospect of working together!
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
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.
The Pennsylvania State University is committed to and accountable for advancing equity, respect, and belonging in all its forms. We embrace individual uniqueness, as well as a culture of belonging that supports both broad and specific equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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