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Intel Corporation is seeking a Senior AI Systems Software Engineer to accelerate AI inference on Intel GPUs and shape optimization across the software stack. You will lead performance improvements for LLMs, Generative AI, and related workloads, collaborating across hardware, compilers, runtimes, and AI frameworks.
This role offers a hybrid on‑site/off‑site work model in the United States. You’ll mentor engineers, influence product direction, and drive end‑to‑end optimization from kernels to
Join a team shaping the future of AI on Intel platforms. You will work on cutting‑edge technologies that accelerate Large Language Models, Generative AI, and other advanced AI workloads on next‑generation Intel GPUs. This role offers the opportunity to collaborate with experts across hardware architecture, compilers, runtime systems, and AI frameworks while developing skills that span the full AI software stack. Your work will have direct impact on delivering industry‑leading AI performance and enabling the next generation of AI applications.
Intel is seeking a Senior AI Systems Software Engineer to drive optimization strategy and technical leadership across the AI software stack. In this role, you will lead the development of high‑performance software solutions that accelerate AI inference workloads, including Large Language Models (LLMs), Generative AI, and emerging machine learning applications on Intel GPU platforms. You will work across software, compilers, runtimes, frameworks, and hardware architecture teams to deliver breakthrough AI performance and influence future product direction.
Demonstrates exceptional technical judgment and the ability to solve complex, high‑impact challenges. Thinks strategically across the software and hardware stack, identifying opportunities to improve performance, scalability, and efficiency. Leads through influence, building alignment and driving outcomes across cross‑functional organizations. Communicates effectively with both technical and business audiences, translating complex concepts into actionable insights. Operates with a strong sense of ownership and accountability, driving initiatives from strategy through execution. Uses data, experimentation, and measurable results to inform decisions and guide technical direction. Develops and elevates talent through mentorship, collaboration, and technical leadership. Brings an innovation mindset and a passion for advancing the future of AI computing.
Minimum Qualifications and Experience: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field with 5+ years of experience. Or a Master’s degree in the same field with 3+ years of experience or a PhD in the same field with 1+ year of experience.
You’ll help shape the future of AI computing by solving some of the industry's most challenging performance problems. Working alongside leading experts in AI, GPU architecture, compilers, and systems software, you’ll have the opportunity to influence next‑generation technologies that power AI at scale.
Experienced Hire
Shift1 (United States of America)
US, California, Folsom
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.
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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: $149,750.00-275,580.00USD. 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.
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.
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