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Perception Internship Jobs in Arizona (NOW HIRING)

Industrial Engineer

Peoria, AZ · On-site

$27.50 - $30.50/hr

... depth perception, and the ability to adjust focus. Work Environment The work environment ... Previous full-time engineering experience is not required; relevant internship, co-op, capstone ...

Industrial Engineer

Peoria, AZ · On-site

$27.50 - $30.50/hr

... depth perception, and the ability to adjust focus. Work Environment The work environment ... Previous full-time engineering experience is not required; relevant internship, co-op, capstone ...

... search, perception and prediction, simulation, foundation models and more. - Support deploying ... internships, work experience, research projects, and papers at top conferences. - Strong ...

Intern (NPI Engineering)

Phoenix, AZ · On-site

$15.75 - $20.50/hr

Prior internship, or project experience in a manufacturing or product design environment is an ... perception and ability to adjust optical focus. Travel Requirements: * Limited off-site and/or ...

... Internship or related work experience in a customer facing role preferred • Results oriented ... perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Us About ...

... Internship or related work experience in a customer facing role preferred • Results oriented ... perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Us About ...

... Internship or related work experience in a customer facing role preferred • Results oriented ... perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Us About ...

Showing results 41-49

Perception Internship information

What is a perception internship?

A Perception Internship is a temporary position, typically for students or recent graduates, focused on developing skills in computer vision, sensor data processing, and machine perception. Interns work on projects related to enabling machines or robots to interpret and understand their environment using cameras, LiDAR, radar, and other sensors. These internships are common in industries like autonomous vehicles, robotics, and artificial intelligence research, offering practical experience in areas such as deep learning, image processing, and sensor fusion. The role often involves collaborating with experienced engineers, contributing to real-world projects, and learning about the latest advancements in perception technology.

What types of projects or tasks does a perception intern typically work on during their internship?

Perception Interns often assist with real-world projects involving computer vision, sensor data analysis, and machine learning model development. They may work on tasks such as data labeling, algorithm prototyping, testing sensor systems, and collaborating with full-time engineers to improve perception pipelines for autonomous systems. Interns frequently participate in team meetings, code reviews, and research discussions, gaining exposure to both the technical and collaborative aspects of the field. This hands-on experience helps interns develop practical skills and gain insight into how perception technologies are developed and deployed in industry settings.

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

To thrive as a Perception Intern, you generally need a background in computer science, robotics, or a related field, along with foundational knowledge of computer vision and machine learning principles. Familiarity with programming languages like Python or C++, and experience with libraries such as OpenCV, TensorFlow, or ROS, are often required. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas clearly are valuable soft skills in this role. These skills enable interns to effectively contribute to perception system development, ensuring accurate data interpretation and successful project outcomes.

What is the difference between Perception Internship vs Data Analyst Internship?

AspectPerception InternshipData Analyst Internship
Required CredentialsRelevant coursework, basic technical skillsStatistical, analytical, and technical skills
Work EnvironmentResearch labs, tech companies, or academic settingsBusiness, finance, or tech firms
Industry UsageFocus on perception, cognition, or sensory dataFocus on data analysis, reporting, and insights
Common Search IntentUnderstanding perception-related roles and internshipsFinding data analysis internship opportunities

Perception Internships typically involve research related to sensory perception, cognition, or experimental psychology, often in academic or research settings. Data Analyst Internships focus on analyzing data sets, creating reports, and deriving insights for businesses. While both roles require analytical skills, perception internships emphasize experimental and psychological understanding, whereas data analyst roles focus on data manipulation and business intelligence.

$27.50 - $30.50/hr

Full-time

Re-posted 20 days ago


Job description

Description

The Industrial Engineer will support improvements in safety, quality, delivery, cost, and productivity across production and warehouse operations. This entry-level role will apply engineering methods, data analysis, Lean principles, and structured problem solving to improve processes, reduce waste, develop standard work, and support the implementation of new systems, equipment, and technologies. The Industrial Engineer will work closely with Operations, Supply Chain, Quality, EHS, IT, and other cross-functional partners.

Responsibilities:

Key    Responsibility


Approx.    %

Support continuous improvement projects by observing   processes, collecting data, completing time studies, mapping workflows, and   identifying opportunities to reduce waste and improve safety, quality,   throughput, and cost.


25%

Analyze operational performance using Excel and other   reporting tools; develop clear findings and recommendations related to   productivity, labor utilization, capacity, quality, customer service, and   process performance.


20%

Develop and maintain standard work, process maps, work   instructions, production standards, workstation or material-flow layouts, and   other engineering documentation.


20%

Learn and support Microsoft Dynamics 365 (D365), Tracker,   and other operational systems through testing, data validation, reporting,   user support, and process standardization.


15%

Partner with Operations, Supply Chain, Quality, EHS, IT,   Customer Service, and other teams to implement process improvements, support   change management, and complete assigned engineering projects.


15%

Research and evaluate equipment, tools, software,   technologies, and manufacturing best practices; assist with trials,   validation, implementation, and post-launch performance reviews.


5%


Environment: 

Warehouse, Office, and Production

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is occasionally required to reach with hands and arms. The employee is constantly required to sit. The employee frequently uses hands to finger, handle, feel or operate objects and computer keyboards. The employee is occasionally required to walk, turn/twist, reach and see, talk, and hear.

The employee may frequently lift, carry, push or pull up to 1 to 2 pounds and/or occasionally lift, carry, push or pull up to 5 pounds.

Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.

Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee may be subjected to moving office equipment, fumes, odors, dust, and workspace restrictions.

Employees may be required to wear the proper Personal Protective Equipment (PPE) which may include eye protection, gloves, face shields, and protective shoes. Contact lenses are allowed in all areas.

PRE-EMPLOYMENT TESTING

External hiring into this position may be contingent upon the successful completion of a pre-employment drug screen and background check and possible credit history review.

Antigua Apparel is an Equal Opportunity Employer

The duties listed in job descriptions are intended only as illustrations of the various types of work that may be performed. The omission of specific statements of duties does not exclude them from the position if the work is similar, related or a logical assignment to the position. The job description does not constitute an employment agreement between the employer and employee and is subject to change by the employer as the needs of the employer and requirements of the job change.

The purpose of this description is to assist in ADA compliance and is not intended for other purposes such as collective bargaining, or compensation.

Requirements

Qualifications:

Bachelor of Science degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, or another accredited engineering discipline required.

Entry-level position intended for a recent graduate. Previous full-time engineering experience is not required; relevant internship, co-op, capstone, laboratory, or manufacturing project experience is preferred.

Coursework or practical exposure to Lean manufacturing and continuous improvement tools such as 5S/6S, Standard Work, time studies, process mapping, root cause analysis, value stream mapping, Kaizen, or Kanban preferred.

Ability to collect, organize, and analyze data; identify trends; and develop practical recommendations to improve safety, quality, productivity, customer service, or cost.

Exposure to ERP, manufacturing execution, production management, or warehouse management systems preferred. Microsoft Dynamics 365 experience is a plus but not required.

Working knowledge of engineering methods such as work measurement, process flow analysis, capacity analysis, facility or workstation layout, and basic statistical analysis.

Strong analytical and problem-solving skills with a willingness to learn and apply structured problem-solving methods.

Ability to manage assignments, meet deadlines, and work both independently and as part of cross-functional teams with appropriate guidance and coaching.

Strong attention to detail and a commitment to identifying root causes and implementing sustainable improvements.

Proficient in Microsoft Excel, Word, and PowerPoint. Experience with data visualization or analytical tools is a plus.

Effective written and verbal communication skills with the ability to present findings, document processes, and collaborate professionally with employees at all levels.

Demonstrated initiative, curiosity, adaptability, and a strong desire to learn manufacturing operations, business systems, and continuous improvement methodologies.