Intern, Compiler Engineer

3 Months ago • Upto 1 Years • Research & Development • $28,000 PA - $62,000 PA

Job Summary

Job Description

This internship within the AGI Computing Lab focuses on designing and implementing ML compilers for high-performance deep learning applications. Responsibilities include optimizing compilers for various hardware platforms, designing a staged lowering infrastructure, optimizing data locality for energy efficiency, and collaborating with hardware architects. The intern will work on integrating new ML techniques, troubleshooting compiler issues, contributing to documentation, and staying current with advancements in ML compilers and hardware. The role requires experience in developing and optimizing software for high-performance computing, familiarity with LLVM/MLIR, and knowledge of frameworks like PyTorch, TensorFlow, or JAX. The position is hybrid, requiring 3 days a week on-site in San Jose, CA.
Must have:
  • Design and implement ML compilers
  • Optimize compilers for various hardware
  • Experience in high-performance computing
  • LLVM/MLIR familiarity
  • Knowledge of PyTorch, TensorFlow, or JAX
Good to have:
  • Familiarity with CPU, GPU, TPU, and NPU architectures
Perks:
  • Relocation support
  • Housing stipend
  • Charitable giving match
  • Paid therapy sessions
  • Onsite gym and cafe
  • Flexible work environment

Job Details

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 affordable and sustainable manner. Join us in our passion to shape the future of computing!

Location: Hybrid, working onsite at our San Jose, CA headquarters 3 days per week, with the flexibility to work remotely the remainder of your time 

Reports to: VP, Software Architecture

  • 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.
  • 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.

#LI-AD1

What We Offer
The pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role’s function and location, as well as the individual’s knowledge, skills, experience, education, and training. 

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 - $62 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.

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.

Covid-19 Policy
To help keep our employees, customers, and communities safe, we’ve developed guidelines for our teams. Currently, we encourage vaccination for all employees and may require it depending on job functions (e.g., traveling for business, meeting with customers). While visiting our offices or attending team events, we ask employees to complete a daily health questionnaire and complete a weekly COVID test. Our COVID policies are subject to change depending on public health, regulatory and business circumstances. 

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

 

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San Jose, California, United States (On-Site)

San Jose, California, United States (On-Site)

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