9 months ago
Base Salary
$180k - $300k/yr
Responsibilities
- Develop, enhance, and maintain software kernels for next-generation AI hardware.
- Map algorithms and computational graphs generated by AI frameworks to underlying hardware architectures.
- Optimize and make tradeoffs across hardware-software co-design and the full-stack toolchain.
- Build and scale software deliverables within tight development windows.
- Collaborate with compiler experts to develop compiler infrastructure and work with ML, systems, mixed-signal, DSP, CPU, and other hardware specialists.
Requirements
- MS in computer engineering, math, physics, or a related degree with 5+ years of industry experience, or a PhD in one of those fields with 1+ year of industry experience.
- Strong understanding of computer architecture, data structures, system software, and machine learning fundamentals.
- Proficiency in C/C++ and Python development in Linux environments using standard development tools.
- Experience implementing algorithms in C/C++ and Python and for specialized hardware such as FPGAs, DSPs, GPUs, and AI accelerators using libraries such as CUDA.
- Experience implementing ML operators including GEMMs, convolutions, BLAS, and SIMD operators for softmax, layer normalization, and pooling.
- Experience developing for embedded SIMD vector processors such as Tensilica.
- Strong ownership, leadership, collaboration, and self-motivation.
- Preferred experience includes startup or small-team work, ML frameworks and compilers, deep learning models for computer vision, NLP, or recommendation, and work at a cloud provider or AI compute/subsystem company.
Benefits
- Hybrid work arrangement with at least 3 onsite days per week at the Santa Clara, California headquarters.
About d-Matrix
d-Matrix builds AI inference computing platforms for data centers, combining custom silicon with systems, networking, and software. Its flagship Corsair platform and JetStream fabric focus on low-latency, energy-efficient generative AI inference at scale. Founded in 2019 and headquartered in Santa Clara, California, the privately held company sells hardware with accompanying software to cloud providers and enterprises deploying large AI models.