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.
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. If you're ready to make a meaningful impact and collaborate with a dynamic team, we encourage you to apply today.
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, California, FolsomAdditional Locations:US, California, Santa ClaraPosting 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 TrustN/ABenefits
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.Skills Required
- 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 drivers, 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.
- 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 inference runtimes, graph compilers, and GPU kernels.
- Experience contributing to open-source software projects.
Intel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intel and has not been reviewed or approved by Intel.
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Leave & Time Off Breadth — Sabbaticals and paid time off are highlighted as signature elements, with an established program offering four weeks after four years or eight weeks after seven years. This distinctive time off is positioned as a meaningful part of the overall package.
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Parental & Family Support — Paid bonding leave of 12 weeks and a New Parent Reintegration program, plus fertility benefits around $40,000 and up to $15,000 adoption reimbursement with no lifetime cap, are clearly stated. These programs are presented as standout components alongside broader family support resources.
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Healthcare Strength — Multiple medical plan options with 2026 updates, a shift to Spring Health for EAP, and in‑network virtual medical visits covered at 100% beginning in 2026 indicate a comprehensive offering. These features signal an emphasis on robust medical access and mental health support.
Intel Insights
What We Do
Our mission is to shape the future of technology to help create a better future for the entire world, that’s the power of Intel Inside. With more ingenuity and creativity inside, our work is at the heart of countless innovations. From major breakthroughs to things that make everyday life better— they’re all powered by Intel technology. With a career at Intel, you can help make the future more wonderful for everyone.
