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Software Engineer Data & AI PhD (Intern) - United States

San Jose, California, United States of America

Live, first seen by us 18 days ago
Pay
Multiple pay statements — pay source
New York City Metro Area: $44,000.00 - $185,000.00Non-Metro New York state & Washington state: $44,000.00 - $185,000.00* 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.
$44,000.00 - $185,000.00Non-Metro New York state & Washington state: $44,000.00 - $185,000.00* 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.
Read the full posting
Work setting
Not stated
Employment
Not stated

Before you apply

New graduates
For current studentsCurrently enrolled in a PhD program

What you’ll work on

Full posting
  • Develop scalable data pipelines

  • Design robust analytics platforms

  • Build infrastructure to support machine learning initiatives

  • Build and maintain key software tools and platforms

From the employer’s posting
developing scalable data pipelines
designing robust analytics platforms
building infrastructure to support machine learning initiatives
By building and maintaining key software tools and platforms

What you’ll bring

All qualifications

Core experience

  • Currently enrolled in a PhD in computer science, AI, ML or related field
  • Expected to continue enrollment in degree program after the internship
  • Proficiency in Python and fundamental data structures
  • Hands-on experience with TensorFlow, PyTorch, or scikit-learn
  • Familiarity with Spark, Hadoop or Flink, and Docker or Kubernetes

Preferred experience

  • Hands-on experience with AI/ML.
  • Familiarity with major cloud platforms, such as AWS, Azure, or Google Cloud.
  • 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).
  • 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
Qualification wording
Currently enrolled in a PhD program.
Expected to continue enrollment in degree program following completion of the internship.
Demonstrated proficiency in Python and fundamental data structures
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Familiarity with distributed data processing technologies, including Apache Spark, Hadoop (MapReduce), or Apache Flink.
Hands-on experience with AI/ML.
Familiarity with major cloud platforms, such as AWS, Azure, or Google Cloud.
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).
10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
Education & alternatives
Minimum Qualifications: - Currently enrolled in a PhD program. -Qualifying education should be in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
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Posting record

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Status in our records
Live
First seen by us
Oct 17, 202618 days ago
Recorded sightings
55
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 18

Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Cisco is hiring

27 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is steady
  • Takes jobs down quickly
  • 4% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • AWS
  • Azure
  • Docker
  • Hadoop
  • Kubernetes
  • Spark
  • PyTorch
  • scikit-learn
  • TensorFlow
  • GCP
Where the posting names them
-Expected to continue enrollment in degree program following completion of the internship. - Demonstrated proficiency in Python and fundamental data structures - Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Hands-on experience with AI/ML. - Familiarity with major cloud platforms, such as AWS, Azure, or Google Cloud. - 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).
- Familiarity with distributed data processing technologies, including Apache Spark, Hadoop (MapReduce), or Apache Flink. - Experience with containerization and orchestration tools, such as Docker and Kubernetes, for deploying data and machine learning workloads. Preferred Qualifications:
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. - Familiarity with distributed data processing technologies, including Apache Spark, Hadoop (MapReduce), or Apache Flink. - Experience with containerization and orchestration tools, such as Docker and Kubernetes, for deploying data and machine learning workloads.
- Demonstrated proficiency in Python and fundamental data structures - Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. - Familiarity with distributed data processing technologies, including Apache Spark, Hadoop (MapReduce), or Apache Flink.

Your next step

Complete your application on cisco.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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 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&TO, Supply Chain, and 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:

  • Currently enrolled in a PhD program. 

-Qualifying education should be in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 

-Expected to continue enrollment in degree program following completion of the internship. 

  • Demonstrated proficiency in Python and fundamental data structures

  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. 

  • Familiarity with distributed data processing technologies, including Apache Spark, Hadoop (MapReduce), or Apache Flink. 

  • Experience with containerization and orchestration tools, such as Docker and Kubernetes, for deploying data and machine learning workloads. 

Preferred Qualifications:  

  • Hands-on experience with AI/ML. 

  • Familiarity with major cloud platforms, such as AWS, Azure, or Google Cloud. 

  • 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:

$44,000.00 - $185,000.00

Non-Metro New York state & Washington state:

$44,000.00 - $185,000.00

* 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.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
New York City Metro Area: $44,000.00 - $185,000.00Non-Metro New York state & Washington state: $44,000.00 - $185,000.00* 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.
More source context
$44,000.00 - $185,000.00Non-Metro New York state & Washington state: $44,000.00 - $185,000.00* 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.
Location & working pattern

San Jose, California, United States of America

Applications 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&TO, Supply Chain, and 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.
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

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