NVIDIA 2026 Internships: PhD Autonomous Vehicles Research - US
Research internship job at NVIDIA
By submitting your resume, you're expressing interest in one of our 2026 Autonomous Vehicles focused Research Internships. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.
Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Autonomous Vehicles teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Learn more about Research at NVIDIA.
What you will be doing:
Design and implement cutting-edge techniques in the field of vehicle autonomy.
Collaborate with other team members, teams, and/or external researchers.
Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products, and/or publishing original research.
What we need to see:
Must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship.
Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies: Python, C++, CUDA, Deep Learning Frameworks (PyTorch, TensorFlow, etc.)
Strong background in research with publications at top conferences.
Excellent communication and collaboration skills.
Experience with large-scale model training is a plus.
Potential internships require research experience in at least one of the following areas:
Next-Generation AV Architectures
Chain-of-Thought Reasoning
Mixture-of-Experts
Diffusion-LLMs
Diffusion-based Trajectory Decoding
Novel Policy Training Strategies
Closed-loop Training
Off-policy RL
Online RL
Enforcing Consistency
Foundation and Multimodal Models
Vision-language models
Multimodal reasoning
Spatial Multimodal Models
Modality Alignment
Model Scaling
Synthetic data
Inference Efficiency
Inference Optimizations (e.g., parallel decoding, speculative decoding)
Token Representations
Model Distillation
Simulation and Behavior Modeling
Digital Twins
Scenario Generation
World Models
Behavior/Traffic Modeling
End-to-End AV Systems
Mapless driving
World Representations
Beyond imitation learning
Safety-aware end-to-end models
Perception and Representation Learning
Multi-modal sensor fusion
2D/3D detection, segmentation, depth estimation, scene understanding, neural representations
Safe and Trustworthy Autonomous Systems
Principled robustness
Model explainability
Control Barrier Functions (CBFs)
Verification and Validation of Safety-Critical AI Systems
Trustworthy AI/ML for autonomy and robotics
Data-Strategies for AI
Benchmarking AV
Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 30 USD - 94 USD.
You will also be eligible for Intern benefits.
Applications are accepted on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Auto-ApplyIBM Research US Government Intern
San Jose, CA jobs
Introduction IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations. Our passion for discovery, and excitement for defining the future of tech, is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make.
IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.
Your role and responsibilities
* Responsible for the identification, validation, development, progression, and winning research business funded primarily by the US Federal government.
* Forges and sustains successful strategic partnerships with government agencies, national laboratories, and systems integrators.
* Identifies government research needs and objectives that align with IBM's research strategy.
* Crafts potential new engagements, defines value propositions, articulates technical differentiation, and secures teaming partners where appropriate.
Required education
High School Diploma/GED
Preferred education
Bachelor's Degree
Required technical and professional expertise
* Understanding of the US Federal Government landscape, to include its missions and acquisition processes.
* Ability to analyze industry strategies, technology shifts, and business changes to identify new opportunities.
* Excellent communication skills (written, verbal, and visual/presentation).
* Ability to engage with and influence stakeholders at all levels, including technical teams, executive leadership, program teams, and various client groups.
* Ability to adapt to and perform in a dynamic environment, with challenging deadlines, evolving requirements and diverse stakeholder groups.
Preferred technical and professional experience
* Client engagement experience.
* Federal government experience.
ABOUT BUSINESS UNIT
IBM Research is the organic growth engine of IBM and an innovation engine for our customers and partners. As part of this mission, IBM Research anticipates and examines 'What's Next in Computing' to ultimately create and integrate the technologies the world relies upon to solve big challenges and unlock new opportunities. We create and pioneer new markets for IBM, our partners and customers as exemplified in our ongoing quest to reach practical and large-scale quantum computing. Across IBM Research, we realize the power and potential to accelerate discovery with our partners and clients by combining the power of high performance computing, AI, and Quantum, all integrated through the hybrid cloud.
YOUR LIFE @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBM
IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
OTHER RELEVANT JOB DETAILS
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
Intern 2026: Research Scientist - Semiconductor
San Jose, CA jobs
Introduction IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations. Our passion for discovery, and excitement for defining the future of tech, is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.
Your role and responsibilities
In this role, you will apply your research skills toward new hardware design and applications from state-of-the-art chip architecture, design, fabrication and test to advanced chip packaging. Interns are expected to have a strong research background as evidenced by project or publication in semiconductor technology, materials science or allied fields.
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
Expertise in one or more of these areas:
* Semiconductor or memory device fabrication
* Lithography
* Plasma Etch
* Novel Film deposition and epitaxial growth
* Wet chemical processes
* Device physics
* Chip Packaging and thernal management
* Polymer materials
* Computational materials science
* Computational optics
* Device simulation
* Semiconductor test and charecterization
Preferred technical and professional experience
* Prior publications in focus areas and/or internship experience
ABOUT BUSINESS UNIT
IBM Research is the organic growth engine of IBM and an innovation engine for our customers and partners. As part of this mission, IBM Research anticipates and examines 'What's Next in Computing' to ultimately create and integrate the technologies the world relies upon to solve big challenges and unlock new opportunities. We create and pioneer new markets for IBM, our partners and customers as exemplified in our ongoing quest to reach practical and large-scale quantum computing. Across IBM Research, we realize the power and potential to accelerate discovery with our partners and clients by combining the power of high performance computing, AI, and Quantum, all integrated through the hybrid cloud.
YOUR LIFE @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBM
IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
OTHER RELEVANT JOB DETAILS
Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law.
This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role.
We consider qualified applicants with criminal histories, consistent with applicable law.
Intern 2026: Quantum Computing Applications Research
San Jose, CA jobs
**Introduction** IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations. Our passion for discovery, and excitement for defining the future of tech, is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make.
IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.
**Your role and responsibilities**
Job roles of a successful candidate include:
* Identifying feasible quantum algorithms and application areas relevant to near-term and/or early fault-tolerant quantum devices
* Benchmarking classical algorithms for problems of interest, to establish meaningful comparisons with quantum algorithms
* Benchmarking resource requirements depending on problem parameters, implementation details, and circuit synthesis strategies
* Implementing and testing near-term algorithms on current quantum processors using available hardware and software frameworks
* Developing new capabilities to enable advantage-scale experiments
* Developing and studying compiler optimizations for quantum circuits targeting fault tolerant architectures
**Required technical and professional expertise**
* Bachelors degree in Engineering, Physics, or Computer Science, or related software experience
* Experience with quantum algorithm design and analysis, quantum compiler or computer architecture, experimental realization of quantum algorithms, or related topics in quantum computation
* Familiarity with programming languages for scientific computing (Python, or equivalent)
**Preferred technical and professional experience**
* Familiarity with programming languages for high-performance computing (Rust, C++, or equivalent)
* Experience with large-scale software engineering projects involving multiple contributors and programming languages.
* Experience using experimental techniques such as error mitigation, error suppression, or quantum control
* Experience with Qiskit or other quantum computing frameworks (Cirq, etc.)
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Intern 2026: AI Platform Research Scientist
San Jose, CA jobs
**Introduction** IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations. Our passion for discovery, and excitement for defining the future of tech, is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make.
IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.
**Your role and responsibilities**
Conduct research, design, development, and optimization of software platforms that enable the creation, deployment, and management of artificial intelligence and machine learning models, including LLMs. This includes the development of frameworks, tools, and infrastructure that support the entire AI lifecycle. The AI Platform speciality requires a deep understanding of AI and machine learning algorithms, software development, and cloud computing, as well as expertise in areas such as developing and optimizing the AI software stack, including components such as data ingestion and processing, model architectures and compilation, training, serving, and monitoring, to support the creation and deployment of AI applications and agentic workloads.
**Required technical and professional expertise**
* BSc in Computer Science or a related field, with a focus on artificial intelligence, machine learning, or software development.
* Strong background in artificial intelligence and machine learning, including expertise in areas such as deep learning, LLMs and foundation models.
* Strong background in software development, including proficiency in languages such as Python, Go, or C++.
* Experience with containerization using Docker, Kubernetes, or other container orchestration tools.
**Preferred technical and professional experience**
* Research and development experience in AI platforms, including the design, implementation, and optimization of AI frameworks, tools, compilers, or infrastructure.
* Developing and optimizing the AI software stack, including components such as data ingestion and pre-processing, model training, model serving, and monitoring.
* Design and development of cloud-based AI platforms that leverage cloud computing resources, including compute, storage, and networking.
* Collaboration with research and engineering teams to advance the state-of-the-art in AI platforms and AI model architectures. Drive innovation in the field, as evident from publications, patents, or opensource activity.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Intern 2026: AI Systems Research Scientist
San Jose, CA jobs
Introduction IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations. Our passion for discovery, and excitement for defining the future of tech, is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make.
IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.
Your role and responsibilities
The Hybrid Cloud Infrastructure Research team at IBM Research focuses on the next generation Hybrid Cloud infrastructure for AI, Storage, HPC and Quantum applications. The research agenda of the group spans multiple technical areas in the context of hybrid cloud, AI systems, networking, security, high-speed networked-storage, accelerators, and HPC principles. The selected candidate will focus on system design for running AI algorithms in the IBM Hybrid Cloud. Responsibilities of the candidate will include performance modeling, within a range of system architectures. The candidate should be familiar with system electrical, mechanical and thermal design, in order to understand the limits that these real-world factors will place on the range of architectures and sizes that he or she will consider. Systems will be evaluated for performance, scalability, security, and resiliency.
* Experience in system design
* Experience with GPU Systems
* Familiarity with HPC system performance evaluation.
* Familiarity with system architectures
* Familiarity with system bus standards: PCIe, Ethernet, UALink, Ultra Ethernet
* Programming experience with C, C++, Python. Rust, CUDA
* Familiarity with system mechanical and thermal modeling
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
* Experience analyzing performance of workloads on large scale systems
* Experience running microbenchmarks
* HPC: Experience running HPC workloads on HPC systems
* Experience running highly distributed workloads on large scale systems
* Software expertise: Proficiency with Python, C++, C and/or CUDA
* Familiarity with using Linux
Preferred technical and professional experience
* Familiarity with the PCIe and OIF specifications
* Proficiency with time-domain and frequency-domain electrical channel modeling.
* Experience with chip and I/O macro floorplanning
* Experience with module floorplanning and layout
* Experience selecting cables and connectors for system performance applications
* Familiarity with interposer and module substrate design
ABOUT BUSINESS UNIT
IBM Research is the organic growth engine of IBM and an innovation engine for our customers and partners. As part of this mission, IBM Research anticipates and examines 'What's Next in Computing' to ultimately create and integrate the technologies the world relies upon to solve big challenges and unlock new opportunities. We create and pioneer new markets for IBM, our partners and customers as exemplified in our ongoing quest to reach practical and large-scale quantum computing. Across IBM Research, we realize the power and potential to accelerate discovery with our partners and clients by combining the power of high performance computing, AI, and Quantum, all integrated through the hybrid cloud.
YOUR LIFE @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBM
IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
AI Research Scientist PhD (Intern) - United States
San Jose, CA jobs
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.
Meet the Team
Join a collaborative team of researchers and engineers dedicated to unlocking insights from substantial volumes of structured, unstructured, transactional, and real-time data. Together, we analyze diverse data sources to understand customer usage patterns and deliver actionable, impactful insights using advanced metrics, algorithms, and statistical techniques.
Your Impact
As an AI Research Intern, you will contribute to sophisticated research in large language models (LLMs), natural language processing (NLP), and multimodal deep learning. Working with senior researchers and cross-functional teams, you'll help build, implement, and evaluate machine learning models and algorithms. You'll participate in data collection, preprocessing, and analysis, and assist in developing and fine-tuning AI models for a variety of applications. Your expertise in data manipulation, model building, and database design will help transform raw data into important insights, while you continue to develop your skills with the latest tools and frameworks.
You will also support research initiatives by creating experiments, comparing algorithms, tuning hyperparameters, and documenting results. In addition, you'll share findings with the team, contribute to reports and presentations, and help onboard new team members. Through collaboration and ongoing learning, your work will help identify business and research opportunities, drive strategic decisions, and advance the field of AI at Cisco.
Minimum Qualifications
* Currently enrolled in a PhD program in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
* Strong understanding of machine learning, deep learning, and natural language processing concepts, validated through academic, project, or professional work.
* Experience training large language models (LLMs)-including modeling, optimization, fine-tuning, and serving-using Python and common AI libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers), evidenced through academic, project, or professional work.
Preferred Qualifications
* Familiarity with agentic AI concepts, agent frameworks, and related applications.
* Proficiency in software development, with experience in relevant programming languages (such as Python and Go) and associated tools.
* Experience working with inference engines (e.g., vLLM, Triton, TorchServe) for LLM serving and optimization.
* Familiarity with containerization and cloud platforms (such as Docker and AWS), as well as distributed systems for scaling and deploying AI models.
ProductIntern26
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.
AI Research Scientist I (Intern) United States
San Jose, CA jobs
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.
Meet the Team
Join a collaborative team of researchers and engineers dedicated to unlocking insights from substantial volumes of structured, unstructured, transactional, and real-time data. Together, we analyze diverse data sources to understand customer usage patterns and deliver actionable, impactful insights using advanced metrics, algorithms, and statistical techniques.
Your Impact
As an AI Research Intern, you will contribute to sophisticated research in large language models (LLMs), natural language processing (NLP), and multimodal deep learning. Working with senior researchers and cross-functional teams, you'll help build, implement, and evaluate machine learning models and algorithms. You'll participate in data collection, preprocessing, and analysis, and assist in developing and fine-tuning AI models for a variety of applications. Your expertise in data manipulation, model building, and database design will help transform raw data into important insights, while you continue to develop your skills with the latest tools and frameworks.
You will also support research initiatives by creating experiments, comparing algorithms, tuning hyperparameters, and documenting results. In addition, you'll share findings with the team, contribute to reports and presentations, and help onboard new team members. Through collaboration and ongoing learning, your work will help identify business and research opportunities, drive strategic decisions, and advance the field of AI at Cisco.
Minimum Qualifications
* Currently enrolled in an undergraduate degree program. Relevant fields include: Relevant fields include: Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program.
* Proficiency in software development, with experience in relevant programming languages (such as Python and Go) and associated tools.
* Ability to analyze and interpret data using statistical methods or data analysis tools (e.g., Excel, pandas, NumPy).
Preferred Qualifications
* Experience working with inference engines (e.g., vLLM, Triton, TorchServe) for LLM serving and optimization.
* Familiarity with containerization and cloud platforms (such as Docker and AWS), as well as distributed systems for scaling and deploying AI models.
* Familiarity with agentic AI concepts, agent frameworks, and related applications.
* Experience training large language models (LLMs)-including modeling, optimization, fine-tuning, and serving-using Python and common AI libraries (such as TensorFlow, PyTorch, or Hugging Face Transformers), as evidenced by academic, project, or professional work.
* Understanding of machine learning, deep learning, and natural language processing concepts, as proven through academic, project, or professional work.
ProductIntern26
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.
AI Research Scientist I (Intern) United States
San Jose, CA jobs
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.
**Meet the Team**
Join a collaborative team of researchers and engineers dedicated to unlocking insights from substantial volumes of structured, unstructured, transactional, and real-time data. Together, we analyze diverse data sources to understand customer usage patterns and deliver actionable, impactful insights using advanced metrics, algorithms, and statistical techniques.
**Your Impact**
As an AI Research Intern, you will contribute to sophisticated research in large language models (LLMs), natural language processing (NLP), and multimodal deep learning. Working with senior researchers and cross-functional teams, you'll help build, implement, and evaluate machine learning models and algorithms. You'll participate in data collection, preprocessing, and analysis, and assist in developing and fine-tuning AI models for a variety of applications. Your expertise in data manipulation, model building, and database design will help transform raw data into important insights, while you continue to develop your skills with the latest tools and frameworks.
You will also support research initiatives by creating experiments, comparing algorithms, tuning hyperparameters, and documenting results. In addition, you'll share findings with the team, contribute to reports and presentations, and help onboard new team members. Through collaboration and ongoing learning, your work will help identify business and research opportunities, drive strategic decisions, and advance the field of AI at Cisco.
**Minimum Qualifications**
+ Currentlyenrolled in an undergraduate degree program. Relevant fieldsinclude:Relevant fieldsinclude:Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, ora relatedprogram.
+ Proficiencyin software development, with experience in relevant programming languages (such as Python and Go) and associated tools.
+ Ability to analyze and interpret data using statistical methods or data analysis tools (e.g., Excel, pandas, NumPy).
**Preferred Qualifications**
+ Experience working with inference engines (e.g.,vLLM, Triton,TorchServe) for LLM serving and optimization.
+ Familiarity with containerization and cloud platforms (such as Docker and AWS), as well as distributed systems for scaling and deploying AI models.
+ Familiarity with agentic AI concepts, agent frameworks, and related applications.
+ Experience training large language models (LLMs)-including modeling, optimization, fine-tuning, and serving-using Python and common AI libraries (such as TensorFlow,PyTorch, or Hugging Face Transformers), asevidencedby academic, project, or professional work.
+ Understanding ofmachine learning, deep learning, and natural language processing concepts, as proven through academic, project, or professional work.
ProductIntern26
**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.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
AI Research Scientist PhD (Intern) - United States
San Jose, CA jobs
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.
**Meet the Team**
Join a collaborative team of researchers and engineers dedicated to unlocking insights from substantial volumes of structured, unstructured, transactional, and real-time data. Together, we analyze diverse data sources to understand customer usage patterns and deliver actionable, impactful insights using advanced metrics, algorithms, and statistical techniques.
**Your Impact**
As an AI Research Intern, you will contribute to sophisticated research in large language models (LLMs), natural language processing (NLP), and multimodal deep learning. Working with senior researchers and cross-functional teams, you'll help build, implement, and evaluate machine learning models and algorithms. You'll participate in data collection, preprocessing, and analysis, and assist in developing and fine-tuning AI models for a variety of applications. Your expertise in data manipulation, model building, and database design will help transform raw data into important insights, while you continue to develop your skills with the latest tools and frameworks.
You will also support research initiatives by creating experiments, comparing algorithms, tuning hyperparameters, and documenting results. In addition, you'll share findings with the team, contribute to reports and presentations, and help onboard new team members. Through collaboration and ongoing learning, your work will help identify business and research opportunities, drive strategic decisions, and advance the field of AI at Cisco.
**Minimum Qualifications**
+ Currently enrolled in a PhD program in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
+ Strong understanding of machine learning, deep learning, and natural language processing concepts, validated through academic, project, or professional work.
+ Experience training large language models (LLMs)-including modeling, optimization, fine-tuning, and serving-using Python and common AI libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers), evidenced through academic, project, or professional work.
**Preferred Qualifications**
+ Familiarity with agentic AI concepts, agent frameworks, and related applications.
+ Proficiency in software development, with experience in relevant programming languages (such as Python and Go) and associated tools.
+ Experience working with inference engines (e.g., vLLM, Triton, TorchServe) for LLM serving and optimization.
+ Familiarity with containerization and cloud platforms (such as Docker and AWS), as well as distributed systems for scaling and deploying AI models.
ProductIntern26
**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.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
AI Research Scientist I (Intern) United States
San Francisco, CA jobs
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.
Meet the Team
Join a collaborative team of researchers and engineers dedicated to unlocking insights from substantial volumes of structured, unstructured, transactional, and real-time data. Together, we analyze diverse data sources to understand customer usage patterns and deliver actionable, impactful insights using advanced metrics, algorithms, and statistical techniques.
Your Impact
As an AI Research Intern, you will contribute to sophisticated research in large language models (LLMs), natural language processing (NLP), and multimodal deep learning. Working with senior researchers and cross-functional teams, you'll help build, implement, and evaluate machine learning models and algorithms. You'll participate in data collection, preprocessing, and analysis, and assist in developing and fine-tuning AI models for a variety of applications. Your expertise in data manipulation, model building, and database design will help transform raw data into important insights, while you continue to develop your skills with the latest tools and frameworks.
You will also support research initiatives by creating experiments, comparing algorithms, tuning hyperparameters, and documenting results. In addition, you'll share findings with the team, contribute to reports and presentations, and help onboard new team members. Through collaboration and ongoing learning, your work will help identify business and research opportunities, drive strategic decisions, and advance the field of AI at Cisco.
Minimum Qualifications
* Currently enrolled in an undergraduate degree program. Relevant fields include: Relevant fields include: Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program.
* Proficiency in software development, with experience in relevant programming languages (such as Python and Go) and associated tools.
* Ability to analyze and interpret data using statistical methods or data analysis tools (e.g., Excel, pandas, NumPy).
Preferred Qualifications
* Experience working with inference engines (e.g., vLLM, Triton, TorchServe) for LLM serving and optimization.
* Familiarity with containerization and cloud platforms (such as Docker and AWS), as well as distributed systems for scaling and deploying AI models.
* Familiarity with agentic AI concepts, agent frameworks, and related applications.
* Experience training large language models (LLMs)-including modeling, optimization, fine-tuning, and serving-using Python and common AI libraries (such as TensorFlow, PyTorch, or Hugging Face Transformers), as evidenced by academic, project, or professional work.
* Understanding of machine learning, deep learning, and natural language processing concepts, as proven through academic, project, or professional work.
ProductIntern26
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.
AI Research Scientist I (Intern) United States
San Francisco, CA jobs
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.
**Meet the Team**
Join a collaborative team of researchers and engineers dedicated to unlocking insights from substantial volumes of structured, unstructured, transactional, and real-time data. Together, we analyze diverse data sources to understand customer usage patterns and deliver actionable, impactful insights using advanced metrics, algorithms, and statistical techniques.
**Your Impact**
As an AI Research Intern, you will contribute to sophisticated research in large language models (LLMs), natural language processing (NLP), and multimodal deep learning. Working with senior researchers and cross-functional teams, you'll help build, implement, and evaluate machine learning models and algorithms. You'll participate in data collection, preprocessing, and analysis, and assist in developing and fine-tuning AI models for a variety of applications. Your expertise in data manipulation, model building, and database design will help transform raw data into important insights, while you continue to develop your skills with the latest tools and frameworks.
You will also support research initiatives by creating experiments, comparing algorithms, tuning hyperparameters, and documenting results. In addition, you'll share findings with the team, contribute to reports and presentations, and help onboard new team members. Through collaboration and ongoing learning, your work will help identify business and research opportunities, drive strategic decisions, and advance the field of AI at Cisco.
**Minimum Qualifications**
+ Currentlyenrolled in an undergraduate degree program. Relevant fieldsinclude:Relevant fieldsinclude:Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, ora relatedprogram.
+ Proficiencyin software development, with experience in relevant programming languages (such as Python and Go) and associated tools.
+ Ability to analyze and interpret data using statistical methods or data analysis tools (e.g., Excel, pandas, NumPy).
**Preferred Qualifications**
+ Experience working with inference engines (e.g.,vLLM, Triton,TorchServe) for LLM serving and optimization.
+ Familiarity with containerization and cloud platforms (such as Docker and AWS), as well as distributed systems for scaling and deploying AI models.
+ Familiarity with agentic AI concepts, agent frameworks, and related applications.
+ Experience training large language models (LLMs)-including modeling, optimization, fine-tuning, and serving-using Python and common AI libraries (such as TensorFlow,PyTorch, or Hugging Face Transformers), asevidencedby academic, project, or professional work.
+ Understanding ofmachine learning, deep learning, and natural language processing concepts, as proven through academic, project, or professional work.
ProductIntern26
**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.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
2026 AI/ML Intern - Applied Research
San Jose, CA jobs
Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity
Adobe Express empowers users to seamlessly construct striking designs, whether they are novices or experienced engineers, on a user-friendly platform improved by groundbreaking AI capabilities. The AI Foundations team sits at the core of this vision, driving innovation to make Adobe Express smarter, faster, and more adaptive! By developing modular, reusable AI systems and crafting a robust Horizon AI Stack, this team will play a pivotal role in transforming creative workflows. Joining this team means crafting the future of creativity, solving complex engineering challenges, and delivering scalable AI solutions that redefine what is possible in design!
What You'll Do
* Build innovative machine learning models that drive Agentic and other Generative AI scenarios for Adobe Express.
* Develop and deploy advanced ML models in areas such as computer vision, NLP, and multimodal learning.
* Contribute to foundational AI systems for intelligent assistance, layout automation, image generation, and motion storytelling.
* Design and build modular ML components that integrate into Adobe's Horizon AI Stack and serve multiple creative workflows.
* Drive the end-to-end ML lifecycle-from experimentation to evaluation, optimization, and production deployment.
* Collaborate closely with Adobe Research, engineering, and product teams to bring AI-powered features to life.
* Design evaluation strategies using a combination of automated metrics, LLM based judges, and user feedback.
*
What You Need to Succeed
* Currently enrolled full time and pursuing a Master's or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2026 - June 2027
* Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.
* Proficient in one or more programming languages such as Python, Java and C
* Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn
* Strong analytical and quantitative problem-solving ability.
* Excellent communication, relationship skills and a team player
* Ability to participate in a full-time internship between May-September
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
Jan 09 2026 12:00 AM
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.
2026 AI/ML Intern - Machine Learning Engineer/Researcher Intern
San Jose, CA jobs
Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity
Adobe seeks a Machine Learning Engineer to enhance customer experiences through AI and generative technologies. This is an exciting internship opportunity inside Adobe Firefly's applied research organization. You will be surrounded by amazing talents who build the Firefly family of models from research inception all the way to production. We offer internship roles situated at different stages of the development pipeline from fundamental research to advanced development to production engineering directly shaping the training and integration of Firefly production models. Your role will center on pioneering data, models, applications and scientific evaluation that shape the future of technology in the realms of images, videos, language and multimodal models. Join us in reshaping the future of technology and customer experiences at Adobe!
What You'll Do
Work towards results-oriented research goals, while identifying intermediate achievements.
Contribute to research and advanced development that can be applied to Adobe product development.
Help integrating novel research work into Adobe Firefly product.
Lead and collaborate on projects across different teams.
What You Need to Succeed
Currently enrolled full time and pursuing a Master's or PhD in Computer Science, Computer Engineering, Electrical Engineer or related fields.1 + years of experience in computer vision or natural language processing or machine learning
Some experience in Generative AI
Experience communicating research to public audiences of peers.
Experience working in teams.
Knowledge in Python and typical machine learning development toolkits.
Ability to participate in a full-time internship between May-September.
If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status.
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.
Auto-Apply2026 AI/ML Intern - Machine Learning Engineer/Researcher Intern
San Francisco, CA jobs
Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity
Adobe seeks a Machine Learning Engineer to enhance customer experiences through AI and generative technologies. This is an exciting internship opportunity inside Adobe Firefly's applied research organization. You will be surrounded by amazing talents who build the Firefly family of models from research inception all the way to production. We offer internship roles situated at different stages of the development pipeline from fundamental research to advanced development to production engineering directly shaping the training and integration of Firefly production models. Your role will center on pioneering data, models, applications and scientific evaluation that shape the future of technology in the realms of images, videos, language and multimodal models. Join us in reshaping the future of technology and customer experiences at Adobe!
What You'll Do
* Work towards results-oriented research goals, while identifying intermediate achievements.
* Contribute to research and advanced development that can be applied to Adobe product development.
* Help integrating novel research work into Adobe Firefly product.
* Lead and collaborate on projects across different teams.
What You Need to Succeed
* Currently enrolled full time and pursuing a Master's or PhD in Computer Science, Computer Engineering, Electrical Engineer or related fields.1 + years of experience in computer vision or natural language processing or machine learning
* Some experience in Generative AI
* Experience communicating research to public audiences of peers.
* Experience working in teams.
* Knowledge in Python and typical machine learning development toolkits.
* Ability to participate in a full-time internship between May-September.
If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status.
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.
NVIDIA 2026 Internships: PhD Robotics Research - US
Research internship job at NVIDIA
By submitting your resume, you're expressing interest in one of our 2026 Robotics focused Research Internships. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.
NVIDIA Research is seeking world-class Research Interns to join a variety of teams across our organization, including but not limited to, the Seattle Robotics Lab (SRL), Generalist Embodied Agent Research (GEAR), and the Learning and Perception Research (LPR) Group.
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Robotics teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Learn more about Research at NVIDIA.
What you will be doing:
Work closely with researchers and engineers in robotics to define your research project.
Design, implement and deploy novel robotics methods into real robots.
Collaborate with other research and product teams on topics related to your project.
Initiate the transfer of your research to product teams to enable new products. Deliverable results include prototypes, patents, products, and/or publishing original research to top conferences and journals.
What we need to see:
Must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship.
Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies: Python, C++, Deep Learning Frameworks (PyTorch, JAX, Tensorflow), Physics Simulation Frameworks (Issac Sim/Lab, MuJoCo).
Strong background in research with publications at top conferences.
Excellent communication and collaboration skills.
Experience with large-scale model training on GPU clusters is a plus.
Potential internships require research experience in at least one of the following areas:
Robotic manipulation and control
Dexterous and bimanual manipulation
Humanoid loco-manipulation
Robot kinematics, dynamics, and sensing
Robotics simulation, sim-to-real, real-to-sim
Motion and task planning
Robot Learning and Reasoning
Vision language action (VLA) models
Foundation models for robotics
Imitation and reinforcement learning
Foundation models for 3D perception
Synthetic data generation
Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 30 USD - 94 USD.
You will also be eligible for Intern benefits.
Applications are accepted on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Auto-Apply2026 Intern - People Researcher
San Jose, CA jobs
Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity
The People Research Intern position offers an opportunity to collaborate with the Research team in People Analytics! This intern will partner with analytics business partners, data scientists, and HRBPs across the Employee Experience organization. This internship is your chance to lead impactful projects at the intersection of AI and people strategy. The intern will help us understand how Adobe employees adopt new AI tools and providing insights about AI Talent that will inform workforce planning. If you're eager to apply your research skills to real-world challenges and help shape the future of AI at Adobe, we'd love to hear from you!
All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.
What You'll Do
As a People Research Intern, you'll contribute to projects supporting AI research and improving organizational well-being. Project may include:
* Lead research initiatives using quantitative and/or qualitative methods that will influence Adobe's AI employee adoption strategies, exploring how our workforce engages in new technology and identifying ways to accelerate meaningful adoption.
* Dive into external market research on AI talent within Engineering, leveraging benchmark data and internal insights to help Adobe attract and develop top AI talent.
* Present actionable insights to stakeholders, making a real impact on our people programs and future direction.
What You Need to Succeed
* Currently enrolled full time and pursuing a Masters or PhD degree in Industrial Organizational Psychology, Organizational Behavior, Behavioral Economics, Social Psychology or related field; or equivalent degree required with an expected graduation date of December 2026- June 2027
* Ability to participate in a full-time internship between May-September
* Excellent communication skills with the ability to translate research insights into key take-aways and recommendations to team members and stakeholders across HR.
* Experience in research methods and study design (e.g., experimentation, survey design, etc.)
* Knowledge of technological adoption in the workplace or human-computer interactions is a plus-but not required.
* Analytical thinking, and understanding of data and statistical methods
* A proficiency in Python or R, and SQL is strongly preferred
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $30.00 -- $36.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.
2026 Intern - People Researcher
San Jose, CA jobs
Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity
The People Research Intern position offers an opportunity to collaborate with the Research team in People Analytics! This intern will partner with analytics business partners, data scientists, and HRBPs across the Employee Experience organization. This internship is your chance to lead impactful projects at the intersection of AI and people strategy. The intern will help us understand how Adobe employees adopt new AI tools and providing insights about AI Talent that will inform workforce planning. If you're eager to apply your research skills to real-world challenges and help shape the future of AI at Adobe, we'd love to hear from you!
All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.
What You'll Do
As a People Research Intern, you'll contribute to projects supporting AI research and improving organizational well-being. Project may include:
Lead research initiatives using quantitative and/or qualitative methods that will influence Adobe's AI employee adoption strategies, exploring how our workforce engages in new technology and identifying ways to accelerate meaningful adoption.
Dive into external market research on AI talent within Engineering, leveraging benchmark data and internal insights to help Adobe attract and develop top AI talent.
Present actionable insights to stakeholders, making a real impact on our people programs and future direction.
What You Need to Succeed
Currently enrolled full time and pursuing a Masters or PhD degree in Industrial Organizational Psychology, Organizational Behavior, Behavioral Economics, Social Psychology or related field; or equivalent degree required with an expected graduation date of December 2026- June 2027
Ability to participate in a full-time internship between May-September
Excellent communication skills with the ability to translate research insights into key take-aways and recommendations to team members and stakeholders across HR.
Experience in research methods and study design (e.g., experimentation, survey design, etc.)
Knowledge of technological adoption in the workplace or human-computer interactions is a plus-but not required.
Analytical thinking, and understanding of data and statistical methods
A proficiency in Python or R, and SQL is strongly preferred
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $30.00 -- $36.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.
Auto-Apply2026 Intern - People Researcher
San Francisco, CA jobs
Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity
The People Research Intern position offers an opportunity to collaborate with the Research team in People Analytics! This intern will partner with analytics business partners, data scientists, and HRBPs across the Employee Experience organization. This internship is your chance to lead impactful projects at the intersection of AI and people strategy. The intern will help us understand how Adobe employees adopt new AI tools and providing insights about AI Talent that will inform workforce planning. If you're eager to apply your research skills to real-world challenges and help shape the future of AI at Adobe, we'd love to hear from you!
All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.
What You'll Do
As a People Research Intern, you'll contribute to projects supporting AI research and improving organizational well-being. Project may include:
* Lead research initiatives using quantitative and/or qualitative methods that will influence Adobe's AI employee adoption strategies, exploring how our workforce engages in new technology and identifying ways to accelerate meaningful adoption.
* Dive into external market research on AI talent within Engineering, leveraging benchmark data and internal insights to help Adobe attract and develop top AI talent.
* Present actionable insights to stakeholders, making a real impact on our people programs and future direction.
What You Need to Succeed
* Currently enrolled full time and pursuing a Masters or PhD degree in Industrial Organizational Psychology, Organizational Behavior, Behavioral Economics, Social Psychology or related field; or equivalent degree required with an expected graduation date of December 2026- June 2027
* Ability to participate in a full-time internship between May-September
* Excellent communication skills with the ability to translate research insights into key take-aways and recommendations to team members and stakeholders across HR.
* Experience in research methods and study design (e.g., experimentation, survey design, etc.)
* Knowledge of technological adoption in the workplace or human-computer interactions is a plus-but not required.
* Analytical thinking, and understanding of data and statistical methods
* A proficiency in Python or R, and SQL is strongly preferred
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $30.00 -- $36.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.
2026 MBA University Graduate - Integrated GTM Associate
San Jose, CA jobs
Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity
Reporting directly to the Director of the Digital Experience Marketing and Integrated GTM Strategy, this role will drive high-impact marketing initiatives that leverage agentic capabilities to align Adobe's enterprise go-to-market (GTM) strategy with customer needs, sales plays, and product innovation. The ideal candidate will bring a strong mix of strategic thinking, cross-functional leadership, and operational rigor to drive measurable business outcomes across the funnel.
What You'll Do
You'll work cross-functionally to drive strategic initiatives that span AI-assisted Marketing Capabilities, Integrated GTM Strategy & Alignment, and Translating Account, Persona & Content Strategy into Actionable Insights, Vision-setting and Storytelling. This is a high-visibility role with exposure to senior leadership and opportunities to shape how Adobe delivers experiences to enterprise customers. Key contributions:
* Develop AI-Driven Marketing Capabilities: Collaborate on initiatives to develop agentic capabilities for Business Development Reps and Marketers; scoping use cases and translating data into actionable insights and next-best-action recommendations. Support Proof-of-Concept testing to improve agentic capabilities and recommendations.
* Foster Integrated GTM Strategy & Alignment: Support the development of strategies to deliver unified customers experiences by synthesizing data from multiple sources (CRM, web, campaign, sales). Partner with Product Marketing, Sales Strategy, and Analytics to shape our unified approach to customers and ensure alignment with sales plays, product priorities, and customer personas.
* Translate Account, Persona, & Content Strategy and Actionable Insights: Contribute to the creation and evolution of marketing scorecards and dashboards (e.g., Power BI, CJA B2B), helping teams translate data into actionable insights to inform GTM prioritization. Assist in building and maintaining dashboards, heatmaps, and prioritization tools to support targeted engagement strategies.
* Cross-Functional Leadership: Lead cross-functional workstreams with stakeholders across Enterprise Marketing, PMM, Sales, Content Strategy, ACS, and DX Products to drive alignment and execution.
Experience
We're seeking a highly analytical and strategic thinker to join our Integrated GTM Strategy & PMO team. This role is ideal for someone with a strong foundation in marketing, data analytics, decision sciences, or strategy consulting, and a passion for driving business impact through customer-centric, data-informed marketing strategies.
* Currently enrolled in a full-time MBA program graduating between December 2025 - June 2026
* Exceptional analytical and quantitative problem solving skills, including conducting research, analyzing data, developing hypotheses, and synthesizing recommendations
* Exceptional written and verbal communication skills with the ability to influence both peers and leaders
* Experience in B2B marketing, GTM strategy, or marketing operations preferred
* Proven ability to lead cross-functional initiatives and influence senior stakeholders.
* Familiarity with AI-powered marketing tools, CRM systems (e.g., Salesforce), and campaign orchestration platforms preferred
* Excellent communication and storytelling skills, with a track record of translating complex data into compelling narratives.
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $87,300 -- $167,250 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $115,500 - $167,250
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
Dec 31 2025 12:00 AM
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.