Staff Software Engineer, SIMD Kernels
d-Matrix · Santa Clara
Infrastructureremotestaff$190k–$300k
At a glance
Highlights
- Productize the software stack for a novel AI compute engine.
- Build kernels for softmax, layer norm and activations for next-gen hardware.
- Help make AI inference faster and more energy-efficient at global scale.
What they offer
- Equity
- Bonus
Ideal candidate
A hands-on systems builder energized by hard hardware-software co-design problems and fast-moving execution. You lead with ownership and humility and care about making AI inference faster and more efficient.
Requirements
- MS or PhD in computer engineering, math, physics or related field with 5+ years industry experience
- Strong grasp of computer architecture, data structures, system software and ML fundamentals
- Proficient in C/C++ and Python development in Linux environment
- Experience implementing algorithms for specialized hardware like FPGAs, DSPs, GPUs or AI accelerators
- Experience implementing ML operators such as GEMMs, convolutions, softmax, layer norm and pooling
- Experience mapping AI-framework computational graphs onto hardware architectures
- remote policy
- Will consider remote
Lab profile
About d-Matrix
Pioneers memory-centric compute-in-memory chips and software for faster, energy-efficient AI inference.
What they build
- Digital in-memory compute inference chips
- Rack-scale AI inference systems
- AI inference software stack
Known for
- Compute-in-memory architecture
- Energy-efficient inference design
- Full-stack chips-to-systems expertise
Key facts
- Founded in 2019
- Headquartered in Santa Clara, California
- Backed by Temasek, Playground Global, and M12
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