Middleware Development Engineer

The Software Team at Intel develops AI technologies and foundational software stacks, products, and services. They focus on client and data center software strategy, delivering specialized NPU IP for AI PCs and GPU IP for various market segments. The team includes hardware and software engineering experts responsible for IP, SOCs, runtimes, and platforms supporting CPU and GPU/accelerator roadmaps, including integrated and discrete graphics.

Minimum Qualifications:

• Strong professional software development experience in Rust.
• Hands-on experience with systems programming concepts such as memory management, concurrency, and performance optimization.
• Practical experience with GPU programming fundamentals.
• Experience contributing to or maintaining open source software through pull requests, issue discussions, and review cycles.
• Ability to profile, benchmark, and optimize code paths in performance-sensitive environments.
• Strong problem-solving and debugging skills across application, runtime, and system layers.
• Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent practical experience.

Preferred Qualifications:

• Strong C++ experience.
• Willingness to learn Rust; existing familiarity is a strong plus.
• Familiarity with GPU parallel compute programming models like SYCL or CUDA.
• Excellent English written and verbal communication skills for cross-functional and open source collaboration.

• Design, implement, and maintain Rust middleware and runtime layers for GPU-accelerated workloads.
• Contribute to the oneAPI-rs codebase including API design, feature development, bug fixes, and performance improvements.
• Build safe and ergonomic Rust abstractions over oneAPI concepts such as memory management, kernels, module loading, and execution flows.
• Improve integration paths between Rust applications and GPU compute stacks used in AI and HPC workloads.
• Diagnose and resolve complex systems-level issues related to performance, memory behavior, concurrency, and multi-device execution.
• Develop validation strategies with benchmarks and real-world workloads; analyze latency, throughput, and resource utilization.
• Strengthen code quality through tests, documentation, examples, and CI-focused reliability improvements.
• Collaborate in open source workflows through technical design discussions, issue triage, code reviews, and upstream contributions.
• Partner cross-functionally with architecture, performance, and product teams to align technical direction with business priorities.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, ancestry, age, disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender identity or expression, sexual orientation, or any other characteristic protected by local law. This role is eligible for a hybrid work model allowing split time between on-site and off-site work.