Currently tracking 65 active AI roles, up 115% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $122k–$414k (avg $253k).
| Title | Stage | AI score |
|---|---|---|
| AI Software Engineering Intern Internship role focused on contributing to the oneDNN open-source project, which optimizes neural network performance on Intel hardware. The intern will develop new features and algorithms, focusing on low-level performance tuning, parallel programming, and hardware optimization for CPUs, integrated graphics, and discrete GPUs. | Serve | 5 |
| AI Software Development Engineer AI Software Development Engineer at Intel focused on developing content and datasets for AI-based graphics and next-generation rendering technologies like Super Resolution and Frame Generation. The role involves building scalable workflows for generating scenes, effects, and dataset content using AI tools and procedural methods, working closely with AI and graphics engineers. | Data |
| 5 |
| Middleware Development Engineer Develops Rust-based GPU middleware and runtime APIs for AI and HPC workloads, focusing on the oneAPI-rs ecosystem and open-source contributions. Bridges low-level compute with developer-friendly abstractions. | Serve | 5 |
| Compiler Engineer Intel is seeking an experienced Compiler Engineer to develop and advance their open-source compiler stack, focusing on C/C++/DPC++/Fortran compilers and LLVM. The role involves setting technical direction, designing language extensions and runtimes, and collaborating with the LLVM community to ensure high performance and reliability for CPU and GPU accelerators, particularly for AI and HPC workloads. | — | 1 |
| Cryptography Software Engineer Experienced Cryptography Engineer to develop, validate, and optimize cryptography algorithms for Intel architectures, integrate them into customer applications, and contribute to third-party libraries. Requires strong C programming skills, mathematical background, and cryptography expertise. | — | 0 |
| GPU Software Performance Engineer GPU Software Development Engineer focused on performance optimization of 3D games and applications on Linux, involving driver and shader compiler work. Responsibilities include designing, developing, and validating software for Intel GPUs, implementing and optimizing graphics driver features, analyzing performance, and developing internal tools for profiling and debugging. | — | 0 |
| Firmware Validation Engineer Firmware Validation Engineer responsible for designing, developing, and executing software validation environments and plans to test firmware functionality. This role involves analyzing results, debugging failures, identifying root causes, and collaborating with cross-functional teams to ensure firmware quality and reliability for Intel's technology products. Requires Python scripting and strong debugging skills. | — | 0 |
| Security Software Development Engineer Security Software Validation Engineer at Intel, focusing on validating complex software-hardware security innovations for Intel CPUs using Pre-Silicon simulations and identifying/mitigating security risks. Requires strong C++/C programming and software development experience. | — | 0 |
| Middleware Development Engineer Develops the offloading runtime (liboffload) for heterogeneous compute (GPUs and CPUs) within the LLVM ecosystem, bridging languages like SYCL and OpenMP to driver-level backends. Responsibilities include API design, backend implementation, upstream LLVM contributions, and community engagement. | — | 0 |
| Senior Compiler Engineer Senior Compiler Engineer at Intel responsible for the development, enhancement, and maintenance of Intel C/C++/DPC++ and Fortran Compilers, with a focus on performance optimization for CPU platforms. The role involves feature development, defect resolution, performance analysis, and collaboration with hardware design teams and open-source communities. | — | 0 |
| Facilities Engineering Intern This is an intern position focused on Facilities Engineering, specifically contributing to ISO 50001 energy management certification through documentation and data analysis. The role involves monitoring building systems, assisting with advanced analytics platforms, and supporting administrative tasks related to facility assets. While the role mentions exploring AI-enabled functionalities, the core responsibilities are in traditional facilities engineering and data analysis, not AI/ML model development. | — | 0 |