OPT Product Development Engineer Jobs
Product Development Engineer jobs are among the more OPT-friendly roles in engineering, with strong demand from manufacturers, consumer electronics firms, and medical device companies. Most positions require a degree in mechanical, electrical, or industrial engineering. STEM OPT extension eligibility gives you up to three years of authorized work.
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Get Access To All JobsINTRODUCTION
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
ROLE AND RESPONSIBILITIES
AMD, Inc., is hiring Sr. Product Development Engineer to Research, design, develop, and support software driven system level test (SLT) solutions for datacenter server processors throughout the product development life cycle. Develops, debug, and enhance test software, automation frameworks, data analysis pipelines, and system level characterization flows used in semiconductor product validation and manufacturing. Work on problems of complex scope where analysis of large scale data sets and system behavior requires evaluation of multiple variables and coordination with cross functional engineering teams. Research, design, develop, and improve system level test (SLT) software, test programs, and characterization flows for datacenter server processors across the full product life cycle, including post silicon bring up and volume production. Develop and extend software based characterization and screening workflows using existing SLT test content, automated test algorithms, and configurable test frameworks. Analyze post silicon characterization and manufacturing data using statistical techniques, including Pareto analysis, trend analysis, and correlation analysis, to support silicon debug, yield optimization, and quality improvements. Apply machine learning and data driven modeling techniques to system level test data to identify failure signatures, improve screening effectiveness, enhance test performance metrics, and drive product quality improvements. Design, implement, and maintain SLT test flow software, including version control, configuration management, revision control, and optimization of test conditions to improve screening efficiency and throughput. Develop, bring up, and debug test programs, test patterns, and test algorithms across wafer sort and final test environments. Debug and resolve issues involving test software, automation scripts, analytics pipelines, diagnostic tools, test hardware interfaces, methods, and device specific intellectual property (IP). Collaborate with automatic test equipment (ATE), validation, design, manufacturing, and fabrication teams to analyze system level behavior, identify root causes of yield or quality issues, and implement software driven test and process improvements. Perform system level test yield and performance analysis, generating statistical reports, dashboards, and visualizations that provide data driven recommendations to guide engineering and manufacturing decisions. Develop automation and analytics tools using Python, SQL, scripting languages, and data analysis libraries to process large SLT data sets and enable continuous integration of test results and quality metrics. Apply principles of algorithms, data structures, and object oriented design to improve the reliability, scalability, and maintainability of SLT software systems. Under supervision, exercise judgment within defined company procedures and practices to select appropriate software methodologies, statistical techniques, machine learning approaches, and evaluation criteria for obtaining engineering results.
Multiple openings. Qualified applicants click “APPLY NOW” button to apply online. Travel required: NO
BASIC QUALIFICATIONS
Degree required
Master’s degree or foreign equivalent in Computer Science, Systems Software Engineering, Software Engineering, Computing and Information Science, or related field.
Qualifications: Amount and type of experience required
None.
Specific skills required:
The following skills are required:
- Computer science fundamentals, including algorithms, data structures, and object oriented software design;
- Developing and debugging software systems used for system level testing, automation, and data analytics;
- Statistical analysis, machine learning techniques, and data modeling for improving performance, yield, and quality metrics;
- Working with large scale engineering data sets and automated data processing pipelines; and
- Complex systems integrating software, data analytics, and hardware validation environments;
- Programming and scripting languages: Python, SQL, Java, and Bash;
- Data analytics and visualization tools: Power BI, Dataiku, and Snowflake;
- Software development environments: Linux, Git, and Jupyter Notebook; and
- Python libraries for data processing, statistical analysis, visualization, and applied machine learning.
Experience may be gained through graduate-level coursework, research, or internship experience.
PREFERRED QUALIFICATIONS
N/A
BENEFITS
AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
INTRODUCTION
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
ROLE AND RESPONSIBILITIES
AMD, Inc., is hiring Sr. Product Development Engineer to Research, design, develop, and support software driven system level test (SLT) solutions for datacenter server processors throughout the product development life cycle. Develops, debug, and enhance test software, automation frameworks, data analysis pipelines, and system level characterization flows used in semiconductor product validation and manufacturing. Work on problems of complex scope where analysis of large scale data sets and system behavior requires evaluation of multiple variables and coordination with cross functional engineering teams. Research, design, develop, and improve system level test (SLT) software, test programs, and characterization flows for datacenter server processors across the full product life cycle, including post silicon bring up and volume production. Develop and extend software based characterization and screening workflows using existing SLT test content, automated test algorithms, and configurable test frameworks. Analyze post silicon characterization and manufacturing data using statistical techniques, including Pareto analysis, trend analysis, and correlation analysis, to support silicon debug, yield optimization, and quality improvements. Apply machine learning and data driven modeling techniques to system level test data to identify failure signatures, improve screening effectiveness, enhance test performance metrics, and drive product quality improvements. Design, implement, and maintain SLT test flow software, including version control, configuration management, revision control, and optimization of test conditions to improve screening efficiency and throughput. Develop, bring up, and debug test programs, test patterns, and test algorithms across wafer sort and final test environments. Debug and resolve issues involving test software, automation scripts, analytics pipelines, diagnostic tools, test hardware interfaces, methods, and device specific intellectual property (IP). Collaborate with automatic test equipment (ATE), validation, design, manufacturing, and fabrication teams to analyze system level behavior, identify root causes of yield or quality issues, and implement software driven test and process improvements. Perform system level test yield and performance analysis, generating statistical reports, dashboards, and visualizations that provide data driven recommendations to guide engineering and manufacturing decisions. Develop automation and analytics tools using Python, SQL, scripting languages, and data analysis libraries to process large SLT data sets and enable continuous integration of test results and quality metrics. Apply principles of algorithms, data structures, and object oriented design to improve the reliability, scalability, and maintainability of SLT software systems. Under supervision, exercise judgment within defined company procedures and practices to select appropriate software methodologies, statistical techniques, machine learning approaches, and evaluation criteria for obtaining engineering results.
Multiple openings. Qualified applicants click “APPLY NOW” button to apply online. Travel required: NO
BASIC QUALIFICATIONS
Degree required
Master’s degree or foreign equivalent in Computer Science, Systems Software Engineering, Software Engineering, Computing and Information Science, or related field.
Qualifications: Amount and type of experience required
None.
Specific skills required:
The following skills are required:
- Computer science fundamentals, including algorithms, data structures, and object oriented software design;
- Developing and debugging software systems used for system level testing, automation, and data analytics;
- Statistical analysis, machine learning techniques, and data modeling for improving performance, yield, and quality metrics;
- Working with large scale engineering data sets and automated data processing pipelines; and
- Complex systems integrating software, data analytics, and hardware validation environments;
- Programming and scripting languages: Python, SQL, Java, and Bash;
- Data analytics and visualization tools: Power BI, Dataiku, and Snowflake;
- Software development environments: Linux, Git, and Jupyter Notebook; and
- Python libraries for data processing, statistical analysis, visualization, and applied machine learning.
Experience may be gained through graduate-level coursework, research, or internship experience.
PREFERRED QUALIFICATIONS
N/A
BENEFITS
AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
See all 49+ OPT Product Development Engineer Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as a Product Development Engineer
Lead with your CAD and prototyping experience
Product development roles center on design tools like SolidWorks, CATIA, or Creo and hands-on prototyping. Employers scanning OPT candidates want proof you can contribute immediately. Highlight specific projects where you moved a concept from design to physical prototype.
Target companies with established OPT hiring patterns
Medical device companies, consumer electronics manufacturers, and automotive suppliers regularly sponsor OPT engineers. These industries hire in cohorts, have structured onboarding, and are familiar with STEM OPT paperwork. Focus your search on employers with a track record here.
Frame your OPT timeline around product cycles
Standard OPT gives you 12 months, with a 24-month STEM extension if your degree qualifies. Position this as enough runway to own a full product development cycle, which typically runs six to eighteen months from concept through launch.
Get your employer's E-Verify enrollment confirmed early
STEM OPT extension requires your employer to be enrolled in E-Verify. Confirm this before accepting an offer, not after. Ask HR directly during the offer stage so there are no delays when you file your extension with your DSO.
Emphasize cross-functional collaboration in interviews
Product development engineers work closely with manufacturing, supply chain, and quality teams. Interviewers want to see communication skills alongside technical ones. Use examples where you coordinated across departments to move a design change or resolve a production issue.
File your STEM OPT extension at the 90-day mark
You can apply for the STEM OPT extension up to 90 days before your current OPT expires. Missing this window is one of the most common and costly mistakes. Work backward from your EAD expiration date and set a calendar reminder immediately.
Product Development Engineer OPT: Frequently Asked Questions
Can I work as a Product Development Engineer on OPT?
Yes, as long as your job is directly related to your degree field. A mechanical or electrical engineering graduate working in product development clearly meets this requirement. If your degree is in a related but adjacent field, such as materials science or industrial design, you should confirm the connection with your DSO before starting.
Does a Product Development Engineer role qualify for the STEM OPT extension?
In most cases, yes. Product development engineering roles at companies in manufacturing, electronics, medical devices, or automotive typically fall under STEM-designated degree programs. Your degree must be on the STEM Designated Degree Program list, and your employer must be enrolled in E-Verify. Confirm both with your DSO before filing the I-983 training plan.
Where can I find Product Development Engineer jobs that are open to OPT candidates?
Migrate Mate filters job listings specifically for OPT and visa sponsorship eligibility, so you are not wasting applications on employers who will not hire international students. Browse Product Development Engineer roles on Migrate Mate to find companies already familiar with OPT work authorization requirements.
What should I include in my I-983 training plan for a Product Development Engineer role?
The I-983 requires a detailed description of how your job duties relate to your STEM degree. For product development, list specific learning objectives tied to your role: design validation methods, materials selection, tolerance analysis, or DFM principles. Your employer's supervisor signs the plan, so align it with your actual day-to-day responsibilities to avoid issues during DSO review.
How does changing employers affect my OPT if I switch Product Development Engineer jobs?
On standard OPT, you can change employers but must report the change to your DSO within 10 days. On STEM OPT extension, switching employers requires a new I-983 training plan with the new employer, and the new employer must be enrolled in E-Verify. Do not start work at the new employer until your DSO has processed the update in SEVIS.