760 matching jobs for “Software Engineering Intern”

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Marvell Technology

Ph.D. Intern - AI/ML & Design Automation

Santa Clara, California, United States +8 locations

Full time
Internship

… advanced models. Designing that silicon at the pace and complexity the AI era demands requires more than engineering talent. It requires intelligence applied to the design process itself. Marvell's AI and machine learning …

Added Nov 3, 2026

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Danaher

Intern PLC developer thesis worker

Uppsala, Uppsala, Sweden

Temporary

… be refined together with the successful student(s). Who you are: Currently enrolled in a Master’s or Civil Engineering programme in Computer Science, Engineering Physics, Electrical Engineering, Automation or a related field. …

Added Oct 25, 2026

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Marvell Technology

IC Validation Engineer Intern, MS - Summer 2027

Santa Clara, California, United States +2 locations

Internship

… beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Your Team, Your Impact Data center engineering (DCE) team involves in the development of discrete components and integrated optics providing to the …

Added Nov 3, 2026

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Marvell Technology

Product Engineer Intern - Bachelor's Degree

Singapore

Full time
Internship

… learn, and lead. Your Team, Your Impact Marvell is looking for highly motivated, talented Product Engineer Intern. You will part of a dynamic product engineering team working on most advanced technologies. Working at …

Added Nov 3, 2026

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Baker Hughes

Intern – Data Analyst – 2026 (M/F/D)

IT-FI-FLORENCE-VIA FELICE MATTEUCCI 2

Full time

… of Baker Hughes. as well as our strong commitment to diversity, equity and inclusion. The Data Analyst Intern support the Aeroderivative Engines team in data analysis and process improvement activities. The intern …

Added Oct 27, 2026

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Nvidia

Research Intern, Robotics — NVIDIA Research

Singapore, Singapore

… generalize over tasks, environments, and embodiments. We are looking for interns with strong research and engineering skills, intellectual curiosity, and a collaborative mindset. You will have the opportunity to formulate and …

Added Oct 27, 2026

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Marvell Technology

Application Engineer Intern, MS - Summer 2027

Santa Clara, California, United States +1 location

Full time
Internship

… interconnects in cloud data centers and carrier networks. As part of Marvell's Optical DSP application engineering group, you will work with state-of-art technology enabling next generation AI and datacenter applications …

Added Nov 3, 2026

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Marvell Technology

Electrical Validation Intern, BS - Summer 2027

Santa Clara, California, United States

Full time
Internship

… to speed up daily routines. What We're Looking For Currently pursuing a Bachelor’s Degree in Electrical Engineering, Computer Engineering, or a related field with an expected graduation date between Fall 2027 – Summer 2028 …

Added Nov 3, 2026

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Nvidia

AI Developer Intern — Interconnect Hardware Frontend, 2027

China, Shanghai

NVIDIA's MSS-Interconnect frontend team is looking for an intern to help explore where modern AI can create real value for RTL, verification, debug, and design-review …

Added Oct 27, 2026

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Nvidia

Silicon Validation Engineer (RDSS Intern)

Taiwan, Taipei

. Most engineering careers start with tasks someone else defined, on problems someone else identified. This one doesn't. …

Added Oct 27, 2026

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Procter & Gamble

Finance & Accounting Intern - Latin America Internship Program

PANAMA BUSINESS CENTER

… Profile: Active undergraduate student in Latin America with a background in Finance, Accounting, Economics, Engineering, or Mathematics, with interest in Finance. Salary: Competitive salary and benefits program. Duration: …

Added Oct 27, 2026

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Marvell Technology

Design Verification Intern, MS - Summer 2027

Santa Clara, California, United States +4 locations

Internship

… fabrics. Across all groups, you’ll collaborate with your direct team and cross-functional partners (across software, physical design, digital design, and more) to deliver robust, scalable solutions that enable Marvell’s …

Added Nov 3, 2026

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Marvell Technology

Design Verification Intern, BS - Summer 2027

Santa Clara, California, United States +4 locations

Internship

Added Nov 3, 2026

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General Motors

2027 Summer Intern - Human Interface Design

Warren, Michigan, United States +1 location

… visionaries to help launch bold Design initiatives and shape new directions for General Motors. As a Design Intern, you will work with a team to design next-generation in-vehicle experiences. The Team: As a designer within …

Added Oct 18, 2026

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Intel

GPU & AI Accelerator Hardware Design Undergraduate Intern

Toronto, Ontario, Canada

… designing and bringing new technology to life? As a GPU & AI Accelerator Hardware Design Undergraduate Intern , you will work alongside experienced engineers developing next-generation GPU and AI accelerator …

Added Oct 28, 2026

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Stryker

Summer 2027 Internship - Mechanical Engineering - New Jersey

Mahwah, New Jersey, United States

… the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will …

Added Oct 27, 2026

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Marvell Technology

AMS Validation Intern, BS - Summer 2027

Santa Clara, California, United States

Full time
Internship

… cover all test cases. What We're Looking For Currently enrolled in a Bachelors degree program in Electrical Engineering, Computer Engineering, with an expected graduation date between Fall 2027 and Summer 2028. Solid foundation …

Added Nov 3, 2026

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McKesson

System Design / QA Intern - Summer 2027

USA, TX, Remote

Hybrid
Full time

Pay posted by employer$17.33–$28.88

… data to identify trends and improvement opportunities. Evaluate opportunities to apply AI and automation to engineering and quality processes. Create dashboards, documentation, and presentations to support decision making. …

Added Oct 27, 2026

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Nvidia

Product Management MBA Intern, Laptop - Summer 2027

Santa Clara, California, United States

… best work. Come join the team and see how you can make a lasting impact on the world. As a Product Manager Intern, you will help define new products and technologies that drive growth for our RTX Spark & GeForce Lineup. …

Added Oct 27, 2026

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GE Aerospace

Process Improvement Intern - Module Shop

Singapore

Full time
Internship

… and process improvement. Required Qualifications Currently enrolled in a Bachelor’s Degree in Aerospace Engineering/Mechanical Engineering or related field Basic analytical and problem-solving skills Basic proficiency in …

Added Oct 27, 2026

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Marvell Technology

Ph.D. Intern - AI/ML & Design Automation

Santa Clara, California, United States +8 more

Full time
Internship

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What We're Looking For · employer excerpt

To thrive in this role, you must have hands-on experience building and deploying machine learning systems — not just academic familiarity with the theory. Specifically:
Currently enrolled in a Ph.D. program in Computer Science, Electrical Engineering, Data Science, or a related field, with a research focus in machine learning, AI systems, or a related area
Demonstrate applied experience training, evaluating, and deploying ML models using frameworks such as PyTorch or TensorFlow
Write production-quality Python; familiarity with version control (Git) and software development best practices is required
Apply rigorous experimental methodology — you design experiments, measure results, and draw defensible conclusions from data

1 more in the full description below.

About this opportunity

Original employer 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

Marvell is building the silicon that makes AI possible — the custom XPUs, the 224G and 448G SerDes, the Silicon Photonics interconnects, the co-packaged optics platforms that hyperscalers depend on to train and deploy the world's most advanced models. Designing that silicon at the pace and complexity the AI era demands requires more than engineering talent. It requires intelligence applied to the design process itself. Marvell's AI and machine learning teams are working on exactly that — using AI to accelerate how silicon is designed, verified, and deployed, and building the enterprise AI infrastructure that makes Marvell's engineering organization faster and smarter at every level.

This Ph.D. intern pool spans two distinct but connected tracks. The first is hardware-focused: applying ML and AI techniques directly to chip design challenges — EDA automation, design space exploration, predictive modeling for timing and power, and AI-driven approaches to physical design and verification at advanced process nodes. The second is enterprise-focused: building and deploying the internal AI tools and platforms — including large language model integrations, agentic workflows, and AI-assisted engineering systems — that Marvell's global engineering teams use every day. Both tracks sit at the frontier of what applied AI research looks like in a production semiconductor environment, and both are grounded in problems that do not yet have off-the-shelf solutions.

Marvell's Ph.D. Intern Program places doctoral candidates directly inside these active efforts, working on problems that are inseparable from their academic research. The work done here is the applied dimension of doctoral research in machine learning, computer science, and electrical engineering — conducted at production scale, on real design data, with real consequences for the silicon that ships to the world's largest AI infrastructure operators. What you will take away is something no coursework or academic dataset can replicate: the experience of deploying your research inside one of the most complex engineering environments in the semiconductor industry.

What You Can Expect

Track 1 — AI/ML for Hardware & Chip Design

As our Ph.D. AI/ML Intern on the hardware track, every day you will apply machine learning research to real chip design problems across Marvell's advanced silicon development flow. Specifically, you can expect to:

Develop and apply ML models — including graph neural networks, reinforcement learning, and generative approaches — to chip design tasks such as placement, routing, timing closure, power estimation, and design rule checking
Work directly with production EDA tool flows and real design data from active tapeouts in 3nm and 2nm FinFET and Gate-All-Around processes
Build predictive models that reduce design iteration cycles and improve first-pass silicon success rates
Collaborate with analog, digital, and physical design engineers to identify high-value automation targets and validate model outputs against ground-truth silicon results
Present research findings and model performance to engineering leadership and contribute to internal technical documentation

Track 2 — Enterprise AI Tools & Implementation

As our Ph.D. AI/ML Intern on the enterprise tools track, every day you will work on the deployment and integration of large language models and agentic AI systems into Marvell's engineering workflows. Specifically, you can expect to:

Design, implement, and evaluate LLM-based tools and agentic workflows — including systems built on models such as Claude — for use by Marvell's global engineering and operations teams
Build retrieval-augmented generation (RAG) pipelines, fine-tuning workflows, and prompt engineering frameworks grounded in Marvell's internal knowledge and tooling ecosystem
Evaluate model performance, safety, and reliability in production enterprise environments and iterate based on real user feedback from engineering teams
Collaborate with IT, security, and engineering stakeholders to ensure responsible and scalable AI deployment across the organization
Present implementation results and adoption metrics to cross-functional leadership

What We're Looking For

To thrive in this role, you must have hands-on experience building and deploying machine learning systems — not just academic familiarity with the theory. Specifically:

Currently enrolled in a Ph.D. program in Computer Science, Electrical Engineering, Data Science, or a related field, with a research focus in machine learning, AI systems, or a related area
Demonstrate applied experience training, evaluating, and deploying ML models using frameworks such as PyTorch or TensorFlow
Write production-quality Python; familiarity with version control (Git) and software development best practices is required
Apply rigorous experimental methodology — you design experiments, measure results, and draw defensible conclusions from data
Communicate technical work clearly to both research and engineering audiences — you will present your work and defend your approach to the teams you work with

Track 1 — Additional Requirements

Coursework or research experience in VLSI design, digital or analog circuit design, computer architecture, or EDA — sufficient to understand the design problems your models are solving
Familiarity with graph-based ML methods (GNNs), reinforcement learning, or generative models applied to structured engineering data
Exposure to EDA tools or chip design flows (Cadence, Synopsys, or equivalent) is a strong plus

Track 2 — Additional Requirements

Design and implement agentic GenAI systems with demonstrated experience across the full stack — LLMs, multimodal models, RAG pipelines, and agentic protocols such as MCP and A2A
Apply hands-on knowledge of SOTA architectures and frameworks including transformers, diffusion models, and orchestration tools such as LangChain, LangGraph, AutoGen, CrewAI, LlamaIndex, or Hugging Face
Benchmark and evaluate model performance rigorously — you identify failure modes, propose enhancements, and back conclusions with data

Preferred Qualifications — Track 2

Experience with agentic reasoning, planning, and tool-use patterns in multi-agent orchestration frameworks such as n8n or AutoGen
Exposure to end-to-end data pipeline development and model deployment in collaboration with data engineering or platform teams
Demonstrated ability to independently research and implement concepts from current AI literature and apply them in a working system

Expected Base Pay Range (USD)

37 - 73, $ per hour.

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 for our interns: medical, dental, and vision coverage, perks and discounts, robust mental health resources to prioritize emotional well-being, and paid holidays. Additional compensation may be available for intern PhD candidates. 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 [email protected].

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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Keywords also found in description

Full time
Intern (Fixed Term)
Physical Design & Layout

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