Senior ML Compiler Engineer – High-Performance AI

Conductor; San Jose (CA); On-site; USD 138,000 - 206,000; Full time

Benefits offered by this job

PTO 4+ weeks

Holidays & sick leave

Fertility/adoption support

Medical travel support

Therapy services

Onsite café & gym

Flexible work policy

Job summary

Samsung Semiconductor's AGI Computing Lab in San Jose seeks an engineer to design and implement ML compilers for high-performance DL workloads, collaborating with hardware teams to optimize across devices.

You will work onsite in San Jose, contribute to compiler improvements, and stay at the forefront of ML techniques. The role emphasizes collaboration, research, and practical impact for AI workloads.

Qualifications

• Master’s or PhD in Computer Science, Electrical Engineering or related field.
• Strong background in compiler design and optimization techniques.
• Experience developing software for high-performance computing systems and ML workloads.

Responsibilities

• Design and implement ML compilers for high-performance deep learning applications.
• Optimize compilers for efficient execution of deep learning models on diverse hardware.
• Develop staged lowering infrastructure to meet evolving workload requirements.
• Create algorithms to optimize data locality and energy use.
• Collaborate with hardware architects to integrate ML techniques into the compiler.
• Work with cross-functional teams to deliver compiler features and improvements.
• Troubleshoot compiler issues and provide customer support.
• Contribute to ML compiler documentation and user guides.
• Stay current with ML compiler and hardware trends.

Skills

Compiler design

High-performance computing

LLVM/MLIR

Analytical skills

Communication

Independent work

Collaborative

Education

Master’s/PhD in CS/EE

Job description

Samsung Semiconductor's AGI Computing Lab in San Jose seeks an engineer to design and implement ML compilers for high-performance DL workloads, collaborating with hardware teams to optimize across devices.

You will work onsite in San Jose, contribute to compiler improvements, and stay at the forefront of ML techniques. The role emphasizes collaboration, research, and practical impact for AI workloads.