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Senior Engineer - Compiler

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Samsung Semiconductor
Full Time position
Listed on 2026-09-14
Job specializations:
  • IT/Tech
    Electrical Engineering, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Systems Engineer
Salary/Wage Range or Industry Benchmark: 138000 - 206000 USD Yearly USD 138000.00 206000.00 YEAR
Job Description & How to Apply Below

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.

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.

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.

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.

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,…
Position Requirements
10+ Years work experience
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