AI Software Development Engineer

100 Intel Corporation; Folsom (CA); Hybrid; USD 150,000 - 276,000; Full time

Benefits offered by this job

Competitive pay

Stock bonuses

Health insurance

Retirement plan

Vacation

Job summary

Intel Corporation is seeking an AI Software Development Engineer to optimize AI inference workloads for Intel GPUs and improve performance across the full AI software stack in California, Folsom.

You will design and tune performance-critical GPU kernels, work with C++, SYCL, Vulkan Compute, OpenCL, and contribute to open-source frameworks like OpenVINO and PyTorch. This role features a hybrid work model in the US.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• 4+ years of relevant industry experience; or advanced degree with reduced experience.
• Experience with performance analysis and optimization for compute-intensive apps.

Responsibilities

• Optimize AI inference workloads for Intel GPUs.
• Design and tune GPU kernels and runtimes using C++, SYCL, Vulkan Compute, or OpenCL.
• Develop and optimize graph compilation flows and compiler passes (MLIR/LLVM).
• Identify and resolve performance bottlenecks across compiler, runtime, framework, and kernel layers.
• Profile, benchmark, and analyze AI workloads to guide optimization strategies.
• Collaborate with hardware, driver, compiler, and framework teams for co-optimization.
• Contribute to open-source AI inference frameworks such as OpenVINO, PyTorch, or ONNX Runtime.

Skills

C++ programming

GPU architectures

Performance profiling

Parallel computing

AI inference optimization

Cross-team collaboration

Education

Bachelor's degree in CS/Engineering

Master's or PhD preferred

Tools

OpenVINO

PyTorch

TensorRT

ONNX Runtime

MLIR/LLVM

Job description

Job Details: Job Description:

The Role and Impact

We are seeking a skilled AI Software Development Engineer to join our team in optimizing AI inference workloads for Intel GPUs. In this role, you will work across the full AI software stack, focusing on improving performance-critical GPU kernels, graph compilation flows, and inference runtimes. Your contributions will directly enhance the efficiency and scalability of modern AI workloads, helping unlock the full potential of Intel's AI technologies.

Business Group

As part of Intel's Software Group, you will join a team dedicated to delivering innovative software solutions that enable and enhance Intel's AI products. The group plays a pivotal role in developing tools, frameworks, and optimizations that empower developers worldwide, shaping the future of AI-driven applications and advancing Intel's mission to create world-changing technology.

Key Responsibilities

• Optimize AI inference workloads, such as Large Language Models (LLMs), multimodal models, and emerging generative AI applications, for Intel GPUs.
• Design, develop, and tune performance-critical GPU kernels and runtime components using C++, SYCL, Vulkan Compute, OpenCL, or similar parallel programming technologies.
• Develop and optimize graph compilation flows and compiler passes using technologies like MLIR, LLVM, or related frameworks.
• Identify and resolve performance bottlenecks across compiler, runtime, framework, and kernel layers.
• Profile, benchmark, and analyze AI workloads to validate performance improvements and guide optimization strategies.
• Collaborate with hardware, driver, compiler, and framework teams to drive hardware/software co-optimization.
• Contribute to and optimize open-source AI inference frameworks such as OpenVINO, llama.cpp, vLLM, PyTorch, or related ecosystems.

Qualifications: Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, with 4+ years of relevant industry experience, OR Master's degree with 3+ years, OR Ph.D. with no prior professional experience.
• Strong proficiency in C++ programming, debugging, and problem-solving.
• Solid understanding of GPU architectures, Graphics Device Driver, Firmware, AI accelerators, or parallel computing systems.
• Experience with performance analysis, profiling, and optimization for compute-intensive applications.
• Hands-on experience with modern neural network architectures and their execution on hardware accelerators.

Preferred Qualifications

• Experience optimizing end-to-end AI inference workloads in production environments.
• Familiarity with AI inference frameworks such as OpenVINO, PyTorch, TensorRT, ONNX Runtime, or similar technologies.
• Knowledge of neural network optimization techniques, including quantization, kernel fusion, and memory optimization.
• Experience across multiple layers of the AI software stack, including inference runtimes, graph compilers, and GPU kernels.
• Experience contributing to open-source software projects is a plus.

We're excited about the opportunity to work with individuals passionate about pushing the boundaries of AI innovation.

Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, California, Folsom Additional Locations: US, California, Santa Clara

Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust: N/A

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $149,750.00-275,580.00 USD. The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.

• Job posting details (such as work model, location or time type) are subject to change.
• ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.