CPT ML Software Engineer Jobs
ML Software Engineer CPT roles let you apply machine learning coursework directly in industry settings, from model training pipelines to production inference systems. Your DSO must authorize each position as integral to your degree program, so bring a job description that maps clearly to your ML curriculum before you request CPT.
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Get Access To All JobsINTRODUCTION
pSemi Corporation is a Murata company driving semiconductor integration. pSemi builds on Peregrine Semiconductor’s 30-year legacy of technology advancements and strong IP portfolio but with a new mission—to enhance Murata’s world-class capabilities with high-performance semiconductors. With a strong foundation in RF integration, pSemi’s product portfolio now spans power management, connected sensors, optical transceivers, antenna tuning and RF frontends. These intelligent and efficient semiconductors enable advanced modules for smartphones, base stations, personal computers, electric vehicles, data centers, IoT devices and healthcare. From headquarters in San Diego and offices around the world, pSemi’s team explores new ways to make electronics for the connected world smaller, thinner, faster and better.
JOB SUMMARY
This position will assist engineers in designing, developing, and implementing AI/ML solutions utilizing large language models (LLMs) from sources such as OpenAI, Llama, and Gemini. The intern will support the creation of Agent frameworks that leverage Agentic AI principles for autonomous decision-making and task execution. Additionally, this role will involve leveraging software to automate RFIC design workflows to improve efficiency and accuracy. This includes contributing throughout the entire product life cycle—from initial concept through scalable deployment.
ROLES & RESPONSIBILITIES
This position has responsibility for:
- Full Stack Development: Build software platforms for LLM integration including frontend, UI/UX design, and backend infrastructure.
- Agent Framework Creation: Assist in developing intelligent systems based on Agentic AI principles using tools like OpenAI Agents SDK or Langchain.
- Data Management: Support backend software development efforts including database infrastructure management with SQL, NoSQL, or vector databases. Implement RAG systems to improve LLM performance.
- RFIC Design Automation: Leverage software tools to automate various stages of RFIC design workflows, including simulation setups, data collection processes, and verification procedures.
- Model Implementation: Collaborate with engineers to implement tools like Langchain and OpenAI Agents SDK for enhancing data flow between applications and LLMs.
- Research & Documentation: Conduct research on emerging technologies in AI/ML frameworks and their application to the semiconductor industry.
MINIMUM QUALIFICATIONS
- Hands-on experience in programming languages such as Python.
- Familiarity with machine learning concepts including large language models such as GPT5, Llama, Gemini, and Claude.
- Experience with backend development using Flask or FastAPI.
PREFERRED QUALIFICATIONS
- Experience working on projects involving machine learning techniques or agent-based systems is a plus.
- Knowledge of vector databases, RAG frameworks, and vector databases is a plus.
- Knowledge of frontend frameworks such as React or Svelte is a plus.
- Understanding cloud service architecture across platforms like AWS, Azure or GCP would be advantageous.
EDUCATION REQUIREMENTS
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science or related field (must be completing 3+ years).
WORK ENVIRONMENT
This job operates in a professional office environment. This role routinely uses standard office equipment.
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. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. This position requires the ability to occasionally lift office products and supplies, up to 20 pounds.
COMPENSATION
- Salary Range: USD 32.20 - 58.32 per hour
Thank you for your interest in our temporary position. Please be advised that the selected candidate will be employed and receive all wages directly from a third-party staffing agency selected by pSemi.
pSemi Corporation supports a diverse workforce and is committed to a policy of equal employment opportunity for applicants and employees. pSemi does not discriminate on the basis of age, race, color, religion (including religious dress and grooming practices), sex/gender (including pregnancy, childbirth, or related medical conditions or breastfeeding), gender identity, gender expression, genetic information, national origin (including language use restrictions and possession of a driver’s license issued under Vehicle Code section 12801.9), ancestry, physical or mental disability, legally-protected medical condition, military or veteran status (including “protected veterans” under applicable affirmative action laws), marital status, sexual orientation, or any other basis protected by local, state or federal laws applicable to the Company. pSemi also prohibits discrimination based on the perception that an employee or applicant has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.
Note: The Peregrine Semiconductor name, Peregrine Semiconductor logo and UltraCMOS are registered trademarks and the pSemi name, pSemi logo, HaRP and DuNE are trademarks of pSemi Corporation in the U.S. and other countries. All other trademarks are the property of their respective companies. pSemi products are protected under one or more of the following U.S. Patents: http://patents.psemi.com
INTRODUCTION
pSemi Corporation is a Murata company driving semiconductor integration. pSemi builds on Peregrine Semiconductor’s 30-year legacy of technology advancements and strong IP portfolio but with a new mission—to enhance Murata’s world-class capabilities with high-performance semiconductors. With a strong foundation in RF integration, pSemi’s product portfolio now spans power management, connected sensors, optical transceivers, antenna tuning and RF frontends. These intelligent and efficient semiconductors enable advanced modules for smartphones, base stations, personal computers, electric vehicles, data centers, IoT devices and healthcare. From headquarters in San Diego and offices around the world, pSemi’s team explores new ways to make electronics for the connected world smaller, thinner, faster and better.
JOB SUMMARY
This position will assist engineers in designing, developing, and implementing AI/ML solutions utilizing large language models (LLMs) from sources such as OpenAI, Llama, and Gemini. The intern will support the creation of Agent frameworks that leverage Agentic AI principles for autonomous decision-making and task execution. Additionally, this role will involve leveraging software to automate RFIC design workflows to improve efficiency and accuracy. This includes contributing throughout the entire product life cycle—from initial concept through scalable deployment.
ROLES & RESPONSIBILITIES
This position has responsibility for:
- Full Stack Development: Build software platforms for LLM integration including frontend, UI/UX design, and backend infrastructure.
- Agent Framework Creation: Assist in developing intelligent systems based on Agentic AI principles using tools like OpenAI Agents SDK or Langchain.
- Data Management: Support backend software development efforts including database infrastructure management with SQL, NoSQL, or vector databases. Implement RAG systems to improve LLM performance.
- RFIC Design Automation: Leverage software tools to automate various stages of RFIC design workflows, including simulation setups, data collection processes, and verification procedures.
- Model Implementation: Collaborate with engineers to implement tools like Langchain and OpenAI Agents SDK for enhancing data flow between applications and LLMs.
- Research & Documentation: Conduct research on emerging technologies in AI/ML frameworks and their application to the semiconductor industry.
MINIMUM QUALIFICATIONS
- Hands-on experience in programming languages such as Python.
- Familiarity with machine learning concepts including large language models such as GPT5, Llama, Gemini, and Claude.
- Experience with backend development using Flask or FastAPI.
PREFERRED QUALIFICATIONS
- Experience working on projects involving machine learning techniques or agent-based systems is a plus.
- Knowledge of vector databases, RAG frameworks, and vector databases is a plus.
- Knowledge of frontend frameworks such as React or Svelte is a plus.
- Understanding cloud service architecture across platforms like AWS, Azure or GCP would be advantageous.
EDUCATION REQUIREMENTS
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science or related field (must be completing 3+ years).
WORK ENVIRONMENT
This job operates in a professional office environment. This role routinely uses standard office equipment.
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. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. This position requires the ability to occasionally lift office products and supplies, up to 20 pounds.
COMPENSATION
- Salary Range: USD 32.20 - 58.32 per hour
Thank you for your interest in our temporary position. Please be advised that the selected candidate will be employed and receive all wages directly from a third-party staffing agency selected by pSemi.
pSemi Corporation supports a diverse workforce and is committed to a policy of equal employment opportunity for applicants and employees. pSemi does not discriminate on the basis of age, race, color, religion (including religious dress and grooming practices), sex/gender (including pregnancy, childbirth, or related medical conditions or breastfeeding), gender identity, gender expression, genetic information, national origin (including language use restrictions and possession of a driver’s license issued under Vehicle Code section 12801.9), ancestry, physical or mental disability, legally-protected medical condition, military or veteran status (including “protected veterans” under applicable affirmative action laws), marital status, sexual orientation, or any other basis protected by local, state or federal laws applicable to the Company. pSemi also prohibits discrimination based on the perception that an employee or applicant has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.
Note: The Peregrine Semiconductor name, Peregrine Semiconductor logo and UltraCMOS are registered trademarks and the pSemi name, pSemi logo, HaRP and DuNE are trademarks of pSemi Corporation in the U.S. and other countries. All other trademarks are the property of their respective companies. pSemi products are protected under one or more of the following U.S. Patents: http://patents.psemi.com
See all 162+ CPT ML Software Engineer Jobs
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Get Access To All JobsML Software Engineer CPT: Frequently Asked Questions
Does an ML Software Engineer role qualify for CPT?
Yes, if the work is integral to your degree program. ML engineering roles typically qualify for students in computer science, data science, or electrical engineering programs because model development, training pipelines, and deployment work map directly to core coursework. Your DSO will need a job description that lists specific ML tasks, not just a generic software engineering title, to authorize CPT.
Can I do CPT at a startup that doesn't have an immigration attorney?
Yes. CPT authorization comes from your school, not from the employer filing anything with USCIS. The employer doesn't need to take any immigration action for CPT to be valid. What matters is that your DSO approves the position and your I-20 is updated with the CPT authorization before your start date. Small ML startups and research labs frequently hire CPT students for this reason.
How do I find ML Software Engineer employers who understand CPT?
Search for ML Software Engineer roles on Migrate Mate, which shows employer LCA filing history by occupation and location. Employers who have filed LCAs for ML roles before are familiar with work authorization processes and less likely to rescind offers when you explain CPT. You can also ask during interviews whether the company has hired F-1 students before.
Does full-time CPT as an ML engineer affect my OPT eligibility?
Full-time CPT authorization totaling 12 months or more eliminates your OPT eligibility entirely. Part-time CPT, defined as 20 hours per week or fewer, has no impact on OPT regardless of duration. If you're planning to use OPT after graduation to stay in an ML role or pursue H-1B visa sponsorship, structure your CPT as part-time during academic semesters and discuss the trade-off with your DSO before accepting a full-time offer.
What should I bring to my DSO to get CPT authorized for an ML role?
Bring a written job description that lists specific ML duties, such as model training, data pipeline development, or inference optimization, not just a job title. Include the employer name, work location, start and end dates, and whether the role is part-time or full-time. Some DSOs also ask for an offer letter or a statement from a faculty advisor confirming the work connects to your curriculum. The more specific the documentation, the faster your I-20 gets updated.