Senior AI Software Development Engineer

Intel Corporation; Santa Clara (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive Pay

Stock Bonuses

Health Benefits

Retirement Benefits

Vacation

Job summary

Intel Corporation is seeking a lead for optimization strategy and development of high-performance AI inference software across Intel GPUs, including compilers, runtimes, frameworks, and GPU kernels.

The role requires evaluating workloads, identifying bottlenecks, and shaping hardware-software co-design while leading cross-functional initiatives and mentoring engineers.

Qualifications

• Requires a bachelor’s degree with 5+ years of experience, a master’s with 3+ years, or a PhD with 1+ years.
• Strong C++ development and debugging skills.
• Performance optimization experience and familiarity with modern neural networks on hardware accelerators.

Responsibilities

• Lead optimization strategy and development of high-performance AI inference software for Intel GPUs, spanning compilers, runtimes, frameworks, and GPU kernels.
• Analyze workloads and system bottlenecks to drive improvements.
• Influence hardware-software co-design and lead cross-functional initiatives.
• Mentor engineers and guide technical directions.

Skills

C++

AI Inference

GPU Architecture

Performance Analysis

Profiling

Parallel Computing

Neural Nets

GPU Programming

Compiler Optimization

Graph Compilation

Quantization

Kernel Fusion

Memory Optimization

AI Frameworks

Technical Leadership

Cross-Functional Collaboration

Education

Bachelor's degree in a relevant technical field

Master's degree

PhD

Job description

Lead optimization strategy and development of high-performance AI inference software for Intel GPUs, spanning compilers, runtimes, frameworks, and GPU kernels. Analyze workloads and system bottlenecks, influence hardware-software co-design, lead cross-functional initiatives, and mentor engineers.

Requirements

Requires a bachelor's degree in a relevant technical field with 5+ years of experience, a master's degree with 3+ years, or a PhD with 1+ years. Candidates need software development or AI systems experience, C++ development and debugging skills, performance optimization experience, and familiarity with modern neural networks running on hardware accelerators.

Key Skills

C++, AI Inference Optimization, GPU Architecture, Performance Analysis, Profiling, Parallel Computing, Neural Network Architectures, GPU Programming, Compiler Optimization, Graph Compilation, Quantization, Kernel Fusion, Memory Optimization, AI Inference Frameworks, Technical Leadership, Cross-Functional Collaboration

Benefits

• Competitive Pay
• Stock Bonuses
• Health Benefits
• Retirement Benefits
• Vacation