Principal Software Engineer, SDK & Lowering Stack - Santa Clara, United States

Originally posted 15 May 2026 by the employer.

Target the Corsair dataflow architecture by architecting kernel authoring SDKs and lowering stack tools.

About the role

As a Principal Software Engineer, SDK & Lowering Stack at d-Matrix, you will architect and develop the kernel authoring SDK targeting the Corsair dataflow architecture.

What you'll do

- Architect and develop the kernel authoring SDK targeting the Corsair dataflow architecture. - Establish CI/CD pipelines, drive automated testing, and enforce code review processes across the team. - Build domain-specific APIs and establish boundaries between kernel developers and compiler teams. - Create development tools for kernel authoring and modeling lowering flows. - Lead and mentor junior engineers while owning end-to-end deliverables from requirement generation to deployment. - Evaluate complex interactions between hardware and software components to implement integral software stack solutions.

What you'll need

- MS in Computer Engineering, Math, Physics, or a related degree with 8 years of industry experience, or a PhD with 4 years of industry experience. - Proficiency in C/C++ and Python development in a Linux environment with standard development tools. - Track record of driving software engineering best practices, including CI/CD integration, continuous testing, and leading code reviews. - Deep grasp of computer architecture, data structures, system software, and machine learning fundamentals. - Demonstrated experience designing scalable APIs and SDKs with a systems engineering approach.

Nice to have

- Experience writing and optimizing high-performance kernels targeting GPUs, TPUs, or custom ML accelerators. - Background working in High-Performance Computing (HPC) environments managing large-scale distributed workloads and resource optimization. - Experience developing ML compilers and working with intermediate representations or algorithms (e.g., MLIR, LLVM, TVM, Glow). - Familiarity with AI-assisted coding tools. - Prior startup, small team, or incubation experience, or work experience at a cloud provider or AI compute/subsystem company.

Skills: kernel authoring SDK, CI/CD pipelines, automated testing, APIs and SDKs, ML compilers