Job Opportunities API

RESPONSIBILITIES - PyTorch-Native Kernel Programming Model: Design the integration layer and runtime environments that enable custom kernels to execute as native extensions within the PyTorch ecosystem. - Tensor-Level Kernel Language: Develop high-level abstractions and programming models to enable efficient model integration and expressive tensor operations. - Virtual ISA: Implement architectural abstractions that resolve performance bottlenecks through direct hardware control while maintaining high-level programmability. - Kernel Developer Ecosystem: Build core programming tools, technical specifications, and reference implementations to enable seamless kernel development and community contributions. MINIMUM QUALIFICATIONS - Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience. - Experience in systems programming such as Rust, C++, or Go with a deep understanding of computer architecture, including ISA, SIMD, and memory hierarchies. - Experience in designing and building clean, robust, and well-defined programming interfaces. PREFERRED QUALIFICATIONS - Master’s or PhD degree in Computer Science or a related technical field, or equivalent practical experience. - Experience in designing low-latency asynchronous execution models, kernel-level performance optimizations, or hardware-software co-design. - Experience in programming language theory and compiler infrastructure, including the design of domain-specific languages or intermediate representations using frameworks such as LLVM or MLIR. - Experience in engaging the developer community through open-source contributions, technical evangelism, or managing developer ecosystems. CONTACT - [email protected]