STEM OPT Senior AI Software Engineer Jobs
Senior AI Software Engineer roles qualify for the 24-month STEM OPT extension when your degree falls under an eligible CIP code and your employer is enrolled in E-Verify. With 36 months of total OPT work authorization, you have a meaningful runway to build experience while pursuing H-1B visa sponsorship.
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INTRODUCTION
Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.
Applications are accepted until further notice.
This role may be eligible for remote work in the United States depending on business needs and hiring manager approval.
MEET THE TEAM
Our dedicated team members are building the future of Cisco’s AI-driven platforms and data infrastructure, supporting innovation across the globe. You will join teams focused on developing advanced data pipelines, machine learning infrastructure, and analytics platforms within business groups such as S, Supply Chain, and Infrastructure Engineering. As part of this collaborative environment, you will contribute to the growth of emerging technologies in data and intelligent systems. Explore the opportunities at the intersection of data engineering and AI, helping to transform how Cisco and its customers harness information and intelligent automation.
YOUR IMPACT
You are a passionate software engineer with expertise in developing scalable data pipelines, designing robust analytics platforms, and building infrastructure to support machine learning initiatives. Your strong background in programming, data systems, and collaboration enables you to solve complex challenges with innovation and attention to detail. By building and maintaining key software tools and platforms, you enable Cisco’s business groups to leverage AI and data-driven insights for operational excellence and strategic growth. Your work ensures high-quality, reliable data infrastructure that supports Cisco’s leadership in intelligent, scalable technology solutions.
MINIMUM QUALIFICATIONS
- Meet one of the following (completed within the past 3 years or expected to be completed within the next 12 months):
- A Master's degree with 0 years of work experience; or
- A Bachelor's degree with 2 years of work experience; or
- An educational or workforce development program (e.g., Associate’s, Apprenticeship, Boot camp, or Certification) with 3 years of work experience; or
- A High school diploma (or equivalent) with 4 years of work experience.
- Qualifying education and work experience should be in Computer Science, Computer Engineering, Cybersecurity, IT, or a related program.
- Proficiency in Python or another programming language, with a strong understanding of software engineering fundamentals, including data structures, algorithms, and object-oriented programming.
- Foundational knowledge of data analysis, machine learning, artificial intelligence, or related concepts, gained through coursework, projects, research, internships, or other hands-on experience.
- Familiarity with data technologies and tools, such as SQL, data processing frameworks, machine learning libraries, or cloud platforms, with the ability to learn and apply new technologies.
PREFERRED QUALIFICATIONS
- Hands-on experience with AI/ML.
- Familiarity with major cloud platforms, such as AWS, Azure, or Google Cloud.
- Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Familiarity with distributed data processing and containerization/orchestration technologies, such as Apache Spark, Hadoop, Apache Flink, Docker, or Kubernetes.
- Understanding of distributed systems concepts, including scalability, reliability, fault tolerance, and data consistency, as well as familiarity with distributed computing patterns (e.g., load balancing, consensus algorithms, and inter-service communication).
WHY CISCO?
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
MESSAGE TO APPLICANTS APPLYING TO WORK IN THE U.S. AND/OR CANADA:
Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:
- 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
- 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
- Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
- Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
- 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
- Additional paid time away may be requested to deal with critical or emergency issues for family members
- Optional 10 paid days per full calendar year to volunteer
For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:
- .75% of incentive target for each 1% of revenue attainment up to 50% of quota;
- 1.5% of incentive target for each 1% of attainment between 50% and 75%;
- 1% of incentive target for each 1% of attainment between 75% and 100%; and
- Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
The applicable full salary ranges for this position, by specific state, are listed below:
New York City Metro Area:
$125,700.00 - $203,100.00
Non-Metro New York state & Washington state:
$111,700.00 - $180,800.00
- For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.
Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Senior AI Software Engineer
Verify your degree's CIP code eligibility
Check that your STEM degree maps to an approved CIP code before applying. Computer science, electrical engineering, and data science degrees typically qualify, but your DSO confirms the exact classification using your official transcript and program details.
Confirm E-Verify enrollment before accepting offers
Your employer must be enrolled in E-Verify before your STEM OPT extension is approved. Search the E-Verify employer search tool by company name to confirm enrollment status, and ask recruiters to provide the company's E-Verify ID during the offer stage.
Target employers with active H-1B LCA filings
Use Migrate Mate to filter Senior AI Software Engineer roles by employers who have filed Labor Condition Applications for AI and machine learning occupations, so you're applying to companies with a documented track record of sponsoring roles like yours.
Build your I-983 training plan around ML deliverables
Your I-983 must connect your daily work to your STEM degree field. For AI engineering roles, document specific learning goals tied to model development, data pipelines, or systems architecture. Vague plans draw scrutiny from USCIS during OPT extension adjudication.
Time your H-1B registration to your OPT end date
If your STEM OPT runs through April 1, the cap-gap rule extends your authorization automatically while your H-1B petition is pending. Map your 36-month OPT end date against the H-1B registration window to avoid gaps in employment authorization.
Negotiate role scope to match your degree field
Offers that title you as a generalist software engineer rather than an AI or ML specialist can complicate your I-983 and future H-1B specialty occupation case. Get the job description to reflect AI-specific responsibilities before signing, not after.
Frequently Asked Questions
Does a Senior AI Software Engineer role qualify for the STEM OPT extension?
Yes, if your employer is enrolled in E-Verify and your degree maps to an approved STEM CIP code. Computer science, electrical engineering, applied mathematics, and data science degrees are the most common qualifying fields for AI engineering roles. Your DSO verifies your CIP code and recommends the STEM OPT extension through SEVIS before USCIS adjudicates your I-765 application.
What does the I-983 training plan need to include for an AI engineering role?
Your I-983 must describe how your day-to-day work applies your STEM degree directly. For Senior AI Software Engineer positions, that means documenting specific learning objectives around model training, inference optimization, data infrastructure, or AI systems design. Generic descriptions like 'software development' are not sufficient. Your employer signs the plan, so align the language with your actual job responsibilities before submission.
Does my employer need to be enrolled in E-Verify before I start work on STEM OPT?
Yes. E-Verify enrollment is a hard requirement for STEM OPT authorization, not a recommendation. If your employer is not enrolled at the time your extension is approved, your STEM OPT is not valid for that position. Confirm enrollment before accepting an offer by searching the E-Verify employer database by company name, and ask the recruiter for the company's E-Verify employer identification number to be certain.
How does cap-gap work if my STEM OPT ends before October 1?
If your STEM OPT expires after your H-1B petition is filed but before October 1, the cap-gap rule automatically extends your work authorization through September 30 of that year. Your EAD card may expire, but your authorization to work for the same employer continues. USCIS confirms cap-gap status through your employer's timely filing receipt, so your employer needs to file before your OPT end date.
Where can I find Senior AI Software Engineer jobs at E-Verify enrolled employers?
Migrate Mate lists Senior AI Software Engineer roles filtered for employers with confirmed E-Verify enrollment and active Labor Condition Application filings in AI and machine learning occupations. That combination lets you target companies that are both legally eligible to hire you on STEM OPT and have already demonstrated a willingness to sponsor roles at this level.