Senior Engineer - Compiler

Samsungsemiconductor

San Jose (CA)

On-site

USD 138,000 - 206,000

Full time

14 days+
Application generator

A complete application in a minute — tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

4+ weeks paid time off
Charitable giving match
Fertility/adoption stipend
Medical travel support
Virtual veterinary care
Mental health support
Onsite café and gym
Flexible work environment

Job summary

Samsung Semiconductor’s AGI Computing Lab in San Jose seeks a visionary ML compiler researcher to design and optimize compilers for deep learning workloads across diverse hardware. You will collaborate with hardware teams to advance compiler capabilities, deliver robust ML tooling, and contribute to documentation and customer support.

The role requires advanced degrees in CS/EE, strong compiler expertise, HPC experience, and a passion for innovation and collaboration within a global, diverse

Qualifications

  • Master’s/PhD in Computer Science, Electrical Engineering, or related field.
  • Strong background in compiler design and optimization techniques.
  • Experience in developing and optimizing software for high-performance computing systems.
  • Experience in LLVM / MLIR (preferred).
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and as part of a team.
  • Inclusive, adapting your style to diverse global norms of our people.
  • Avid learner with data-driven approach to challenges.
  • Collaborative, building relationships and offering support.
  • Innovative and creative, adapting quickly to change.

Responsibilities

  • 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 evolving workload requirements.
  • Design an algorithm to optimize data locality to minimize energy consumption.
  • Work closely with hardware architects to integrate new ML techniques into the compiler.
  • Collaborate with cross-functional teams to define and deliver ML compiler features.
  • Troubleshoot and debug compiler issues and provide technical support to customers.
  • Contribute to ML compiler documentation and user guides.
  • Stay up-to-date with ML compiler and hardware trends.

Skills

Compiler design
Optimization techniques
HPC software development
LLVM/MLIR experience
Analytical skills
Communication skills
Team collaboration
Inclusive collaboration
Curiosity & learning
Creative problem solving

Education

Master’s/PhD in Computer Science or Electrical Engineering

Tools

LLVM/MLIR

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.

AGI (Artificial General Intelligence) Computing Lab

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:

Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do
  • 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.
What You Bring
  • Master’s/PhD in Computer Science, Electrical Engineering, or a related field
  • Strong background in compiler design and optimization techniques.
  • Experiences in developing and optimizing software for high-performance computing systems
  • Experiences in LLVM / MLIR (preferred)
  • 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.

#LI-VL1

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. We also offer incentive opportunities that reward employees based on individual and company performance.

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/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.

  • Give Back: With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
  • Enjoy Time Away: You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
  • Care for Family: Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
  • Prioritize Emotional Wellness: With on-demand apps and free confidential 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.
Base Pay Range

$138,000—$206,000 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.

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/

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Senior Engineer - Compiler
Senior Engineer - Compiler

Samsung Semiconductor • San Jose (CA)

On-site
USD 138,000 - 206,000
Senior Engineer - Compiler
Senior Engineer - Compiler

Conductor • San Jose (CA)

On-site
USD 138,000 - 206,000
PTO 4+ weeks
Holidays & sick leave
Fertility/adoption support
+4
Staff Engineer, Workbench Platform
Staff Engineer, Workbench Platform

Samsung Semiconductor Inc. • San Jose (CA)

On-site
USD 150,000 - 210,000
4+ weeks paid time off
Excellent benefits package
Onsite cafe & gym
Principal Engineer, Architecture & Performance Research Engineer for Data Center and Agentic AI CPU
Principal Engineer, Architecture & Performance Research Engineer for Data Center and Agentic AI CPU

Samsungsemiconductor • San Jose (CA)

On-site
USD 219,000 - 351,000
Charitable giving match
Paid time off 4+ weeks
Fertility/adoption support
+1
Senior Physical Design Engineer
Senior Physical Design Engineer

Conductor • San Jose (CA)

On-site
USD 138,000 - 206,000
4+ weeks PTO
Competitive benefits
Fertility/adoption support
+1
Staff Software Engineer AI/ML
Staff Software Engineer AI/ML

Socket.dev • San Jose (CA)

On-site
USD 163,000 - 253,000
Charitable giving match
4+ weeks paid time off
Fertility/adoption stipend
+2
Staff Engineer, Architecture & Performance Research Engineer for Data Center and Agentic AI CPU
Staff Engineer, Architecture & Performance Research Engineer for Data Center and Agentic AI CPU

Socket.dev • San Jose (CA)

On-site
USD 163,000 - 253,000
Senior Emulation Engineer
Senior Emulation Engineer

Samsung Semiconductor • San Jose (CA)

On-site
USD 138,000 - 206,000
Staff Engineer, Architecture & Performance Research Engineer for Data Center and Agentic AI CPU
Staff Engineer, Architecture & Performance Research Engineer for Data Center and Agentic AI CPU

Samsung Semiconductor • San Jose (CA)

On-site
USD 163,000 - 253,000
Senior Emulation Engineer
Senior Emulation Engineer

Socket.dev • San Jose (CA)

On-site
USD 138,000 - 206,000