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 is an AI infrastructure company building the next generation of inference computing for the era of generative and agentic AI. Founded in 2019, d-Matrix is rethinking AI inference from the ground up with a full-stack approach spanning silicon, systems, networking, and software. Its flagship products, including the Corsair™ inference platform and JetStream™ inference fabric, are purpose-built to deliver high-performance, low-latency, and energy-efficient AI inference at datacenter scale. The company has raised nearly $500 million from a global syndicate of leading venture capital firms, sovereign wealth funds, and strategic investors, including Playground Global, Bullhound Capital, M12 (Microsoft’s Venture Fund), SK hynix, Temasek, Qatar Investment Authority, and Singapore’s EDBI. The company’s most recent financing valued d-Matrix at approximately $2 billion. As AI shifts from training to inference, the demands on AI infrastructure are changing. d-Matrix is building the infrastructure required to power the next generation of real-time AI at scale.