Senior AI Systems Engineer - Memory-Centric Acceleration

Samsungsemiconductor; San Jose (CA); On-site; USD 189,000 - 301,000; Full time

Benefits offered by this job

Paid time off

Medical/dental/vision benefits

Flexible work options

Job summary

Samsung Semiconductor in San Jose, CA is looking for a leader in AI optimization to drive co-design efforts for software and hardware solutions. You will focus on overcoming memory bottlenecks and optimizing LLM workloads. The ideal candidate will have extensive experience in AI infrastructure and possess strong knowledge of memory architecture.

The role offers a competitive salary ranging from $189,000 to $301,000 USD annually along with comprehensive benefits including health care, wellness programs, and flexible work policies.

Qualifications

• 15+ years of experience in the AI industry for Bachelor's, 13+ for Master's, or 10+ for Ph.D.
• Strong experience in high-performance software development for GPUs or other accelerators.
• Hands-on expertise with the PyTorch framework.

Responsibilities

• Lead co-design of software and hardware solutions for AI.
• Analyze and optimize AI workloads for hardware acceleration.
• Collaborate on memory architecture influences.

Skills

AI framework software development

High Performance Computing

PyTorch

Linux development environment

Memory architecture knowledge

Education

Bachelor’s degree with 15+ years or Master’s with 13+ years or Ph.D. with 10+ years of industry experience

Tools

GitHub

Jira

vLLM

Job description

Samsung Semiconductor in San Jose, CA is looking for a leader in AI optimization to drive co-design efforts for software and hardware solutions. You will focus on overcoming memory bottlenecks and optimizing LLM workloads. The ideal candidate will have extensive experience in AI infrastructure and possess strong knowledge of memory architecture.

The role offers a competitive salary ranging from $189,000 to $301,000 USD annually along with comprehensive benefits including health care, wellness programs, and flexible work policies.