Jobs in the United States

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Added 1 min ago
Systems Engineer 4
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Intern, Compiler Engineer
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Added 28 mins ago
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You Must Have
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Added 50 mins ago
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Sr. Launch Engineer, Propellant Systems (Starship)
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Added 50 mins ago
Sr. Launch Engineer, Propellant Generation (Starship)
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Starbase, TX · Brownsville, TX
Cradle-to-grave project ownership through hosting design reviews, project decision justification, equipment procurement, and coordination and assistance in the construction of your ideas

Samsung Semiconductor

Intern, Compiler Engineer

San Jose, CA, United States

$28 - $68 USD

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

Job details

Pay: $28 - $68 USD
Apply by: Feb 11, 2027
Posting language: English
Posted: Nov 13, 2026

Original job description

Please Note:

To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.

Advancing the World’s Technology Together

Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.

We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.

What You’ll Learn

Project Overview: ML Compilers
Skills You’ll Learn:
Design and implement compiler optimizations
Working with MLIR framework

What You’ll Do

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordableand sustainable manner. Join us in our passion to shape the future of computing!

Location: Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work policy

Reports to: Principal Engineer

Design and implement ML compilers for high-performance deep learning applications.
Optimize compilers for efficient execution of deep learning models on various hardware platforms.
Design a staged lowering infrastructure to meet rapidly evolving workload requirements effectively.
Design an algorithm to optimize data locality to minimize energy consumption.
Work closely with hardware architects and developers to integrate new ML techniques and algorithms into the compiler.
Collaborate with cross-functional teams to define and deliver ML compiler features and improvements.
Troubleshoot and debug compiler issues, and provide technical support to customers.
Contribute to the development of ML compiler documentation and user guides.
Stay up-to-date with the latest trends and advancements in the field of ML compilers and hardware.
Complete other responsibilities as assigned.

What You Bring

Pursuing Bachelors, Masters, or PhD in Computer Science preferred.
Experiences in developing and optimizing software for high-performance computing systems
Experiences in LLVM / MLIR (preferred)
Familiarity with PyTorch, Tensorflow, or JAX.
Familiarity with hardware architectures such as CPUs, GPUs, TPUs, and NPUs.
Strong analytical and problem-solving skills
Excellent communication and interpersonal skills\Ability to work independently and as part of a team
You’re inclusive, adapting your style to the situation and diverse global norms of our people.
An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
Innovative and creative, you proactively explore new ideas and adapt quickly to change.

What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience.

This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.

Relocation Support Live 50+ miles away from your new office? No worries! We'll provide a stipend to help support your move. Housing Stipend Signing a lease on a new place for your summer internship? We'll help you pay your way with a monthly stipend. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Prioritize Emotional Wellness With on-demand apps and paid therapy sessions, you’ll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.

Hourly Base Pay Rate

$28 - $68 USD

Equal Opportunity Employment Policy

Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.

When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.

Our Commitment to Innovation and Fairness

At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically.

Recruiting Agency Policy

We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.

Applicant AI Use Policy

At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified.

Trade Secret Notice

By submitting an application, you agree not to disclose to Samsung - or encourage Samsung to use - any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.

Applicant Privacy Policy https://semiconductor.samsung.com/about-us/careers/us/privacy/

Apply on job-boards.greenhouse.io About employer

More about this job

Skills

ML
Research
Hardware platforms
Troubleshoot
Technical support
Documentation
Computer science
PyTorch
TensorFlow
Hardware architectures
Problem solving
Communication skills
Interpersonal skills
Work independently
Relationship building

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Work requirements

Jobs in the United States