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Internship Quantum Ai Jobs (NOW HIRING)

1910

Computational Theoretical Chemist I

Boston, MA · On-site

Company Overview We are the only AI-native biotech, pioneering small and large molecule ... In-depth knowledge and hands-on experience with quantum chemical (QC) methods, including semi ...

Nvidia

$100K - $136K/yr

Around the world, leading commercial and academic organizations are revolutionizing AI, data ... Providing technical leadership and guidance to library engineers, QA engineers, and interns working ...

New

NorthEastern

Research Scientist

Burlington, MA

... as quantum materials and sensing. This position is with KRI at Northeastern University, LLC, a ... Preferred * Master's degree with a focus on ML/AI, dataintensive systems, network science ...

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139K - $183K/yr

... quantum leap in performance. You: As a Sr. Machine Learning Compiler Engineer III on the Amazon ... A background in Machine Learning and AI accelerators is preferred, but not required. In order to be ...

SpaceX

Solar Cell Reliability Engineer (Starlink)

Bastrop, TX · On-site

$101K - $128K/yr

... AI Sat, and deep-space missions. Your work will form the backbone of the Starlink network (photons ... quantum efficiency, adhesion, and other failure-analysis techniques; close the loop with ...

SpaceX

Solar Cell Reliability Engineer (Starlink)

Bastrop, TX · On-site

$101K - $128K/yr

... AI Sat, and deep-space missions. Your work will form the backbone of the Starlink network (photons ... quantum efficiency, adhesion, and other failure-analysis techniques; close the loop with ...

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How much do internship quantum ai jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for internship quantum ai in the United States is $16.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a Quantum AI internship?

To succeed in a Quantum AI internship, you typically need a strong foundation in quantum mechanics, linear algebra, and computer science, often with ongoing or completed studies in physics, mathematics, or engineering. Familiarity with programming languages such as Python, experience using quantum computing frameworks like Qiskit or Cirq, and knowledge of machine learning libraries are highly valuable. Analytical thinking, problem-solving abilities, and effective communication skills help interns collaborate and contribute to complex research projects. These skills are crucial for tackling innovative challenges in the rapidly evolving field of quantum artificial intelligence and for making meaningful contributions to research teams.

What is the difference between Internship Quantum Ai vs Quantum Computing Intern?

AspectInternship Quantum AiQuantum Computing Intern
Required CredentialsRelevant coursework in AI, machine learning, or quantum computing; basic programming skillsBackground in physics, computer science, or engineering; programming experience
Work EnvironmentResearch labs, tech companies, AI-focused startupsResearch institutions, tech companies, quantum hardware firms
Industry UsageArtificial intelligence, machine learning, data analysisQuantum hardware development, algorithm research, computational physics
Search & Comparison IntentUnderstanding roles in AI and quantum tech intersectionExploring roles in quantum hardware and algorithm development

Internship Quantum Ai typically focuses on applying quantum computing principles to artificial intelligence and machine learning projects, requiring skills in programming and AI concepts. Quantum Computing Internships are more centered on hardware, algorithms, and physics aspects of quantum technology. Both roles are valuable entry points in the quantum tech industry but differ in focus and skill requirements.

What types of projects can I expect to work on during a Quantum AI internship?

As a Quantum AI intern, you can expect to contribute to a variety of projects that combine principles of quantum computing and artificial intelligence. Typical tasks include assisting with algorithm development, running simulations on quantum hardware or emulators, analyzing experimental data, and supporting research on quantum machine learning models. You may also collaborate closely with senior researchers and engineers, participate in team meetings, and present your findings. This hands-on experience offers valuable exposure to cutting-edge technologies and can help you build a strong foundation for a career in quantum computing or AI research.

What is an internship in Quantum AI?

An internship in Quantum AI is a temporary, hands-on position where students or recent graduates work with professionals to gain practical experience at the intersection of quantum computing and artificial intelligence. Interns may assist with research, programming, algorithm development, and data analysis, often contributing to projects that explore how quantum technologies can enhance AI capabilities. These internships are typically offered by research institutions, tech companies, or universities and provide valuable exposure to cutting-edge developments in both quantum computing and AI.
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Internship Quantum Ai jobs near you
Infographic showing various Internship Quantum Ai job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $33,957 per year, or $16.3 per hour.

Accelerated Computing Solutions Analyst - Early Career

Marvell

Santa Clara, CA • On-site

Full-time

Life, Retirement

Re-posted 16 days ago

Job description

About Marvell

Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.

At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.

Your Team, Your Impact

The Technology and Solutions Architecture team is innovating at the intersection of hardware and software- Building co-optimized solutions for the most demanding AI data center challenges, reimagining the data- movement / storage / transformation / processing pipelines with purpose-built Marvell accelerators to advance next-generation AI infrastructure, and shaping open standards..
We are seeking an innovative AI Solutions Analyst to research, explore, and build co-optimized fabric-attached, shared, disaggregated, and multi-tier memory and storage solution architectures designed to meet the rapidly scaling memory and storage demands of XPU for increasingly data-centric workloads.
You will work closely with architects, technologists, and product teams to influence research and development in cutting-edge forward-looking technologies in the disaggregated memory, storage, networking, and security domains.

What You Can Expect

  • Develop Next-Gen Solutions:Partner with hardware and software architects, technologists, and IC engineering teams to develop scalable, high-performance, cutting-edge AI/ML infrastructure.
  • Foster Innovation:Spearhead advancements in accelerating AI/ML applications in heterogenous and disaggregated compute architectures, networking, storage, and security domains, focusing on emerging technologies such as CXL, UAL, UEC, low-latency transport protocols, and Post-Quantum Cryptography.
  • Architect and Execute:Lead system architectural design and implement proof-of-concept solutions for diverse workloads, optimizing execution across distributed, heterogeneous memory, compute, and storage environments. Present innovative ideas and substantiated proof-points to senior management and CTOs.
  • Represent in Standards Bodies:Advocate Marvell's leadership in industry standards bodies and working groups, shaping new standards and emerging technologies aligned with Marvell's strategic interests.
  • Analyze Performance:Conduct advanced characterization and performance analysis of complex workloads, monitoring critical metrics such as response time, latency, and resource utilization.
  • Build Simulation Environments:Create and refine simulation environments for large-scale setups and configurations, especially in the AI/ML domain.
  • Document and Visualize Insights:Develop comprehensive documentation and data visualizations to support analysis and insights, leveraging tools like Python and related libraries.
  • Stay at the Forefront:Keep abreast of the latest developments in generative AI and hardware data analysis, and propose innovative approaches to enhance device tuning and interoperability performance.

What We're Looking For

  • PhD or Master's degree in computer science and engineering, electrical engineering, or related field

  • HW/SW co-design experience with proven expertise with GPUs, DPUs, FPGAs, or custom hardware accelerators

  • Processor micro-architectures (preferably ARM), scalar and vector processing pipelines, techniques to optimize memory bound applications

  • Deep understanding of memory or storage subsystems, disaggregated memory for accelerators, cluster level shared memory approaches, NVMeoF

  • Familiarity with coherent / non-coherent interconnects, like CXL, UAL, NVLink, and multi-GPU / multi-node communication mechanisms and optimization techniques like SHARP and NCCL

  • Proficiency in performance benchmarking of AI data processing workloads, system profiling and analyzing end-to-end flows

  • Experience with simulators & modeling,GPU/CPU cooperative accelerated computing optimizing / accelerating data-centric AI workloads

Expected Base Pay Range (USD)

94,160 - 141,000, $ per annum

The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.

Additional Compensation and Benefit Elements

Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life's most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com.

Interview Integrity

To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.

These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

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