Software Engineering, Senior Director - Kernels at d-Matrix

Santa Clara, California, United States

d-Matrix Logo
$180,000 – $300,000Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Semiconductors, TechnologyIndustries

Requirements

  • MS or PhD in Computer Engineering, Math, Physics or related degree with 12+ years of industry experience
  • Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals
  • Proficient in C/C++ and Python development in Linux environment and using standard development tools
  • Experience implementing algorithms in high level languages such as C/C++, Python
  • Experience implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, AI accelerators using libraries such as CUDA etc
  • Experience in implementing operators commonly used in ML workloads - GEMMs, Convolutions, BLAS, SIMD operators for operations like softmax, layer normalization, pooling etc
  • Experience with development for embedded SIMD vector processors such as Tensilica
  • Self-motivated team player with a strong sense of ownership and leadership
  • Experience building software kernels for HW architectures
  • Very strong understanding of various hardware architectures and how to map algorithms to the architecture
  • Understand how to map computational graphs generated by AI frameworks to the underlying architecture
  • Past experience working across all aspects of the full stack tool chain and understand the nuances of what it takes to optimize and trade-off various aspects of hardware-software co-design
  • Able to build and scale software deliverables in a tight development window

Responsibilities

  • Be part of the team that helps productize the SW stack for our AI compute engine
  • Responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware
  • Work with a team of compiler experts to build out the compiler infrastructure working closely with other software (ML, Systems) and hardware (mixed signal, DSP, CPU) experts in the company

Skills

Software Kernels
Hardware Architectures
Computational Graphs
AI Frameworks
Compiler Infrastructure
Hardware-Software Co-Design
ML Software
Systems Software
DSP
CPU
Mixed Signal Hardware

d-Matrix

AI compute platform for datacenters

About d-Matrix

d-Matrix focuses on improving the efficiency of AI computing for large datacenter customers. Its main product is the digital in-memory compute (DIMC) engine, which combines computing capabilities directly within programmable memory. This design helps reduce power consumption and enhances data processing speed while ensuring accuracy. d-Matrix differentiates itself from competitors by offering a modular and scalable approach, utilizing low-power chiplets that can be tailored for different applications. The company's goal is to provide high-performance, energy-efficient AI inference solutions to large-scale datacenter operators.

Santa Clara, CaliforniaHeadquarters
2019Year Founded
$149.8MTotal Funding
SERIES_BCompany Stage
Enterprise Software, AI & Machine LearningIndustries
201-500Employees

Benefits

Hybrid Work Options

Risks

Competition from Nvidia, AMD, and Intel may pressure d-Matrix's market share.
Complex AI chip design could lead to delays or increased production costs.
Rapid AI innovation may render d-Matrix's technology obsolete if not updated.

Differentiation

d-Matrix's DIMC engine integrates compute into memory, enhancing efficiency and accuracy.
The company offers scalable AI solutions through modular, low-power chiplets.
d-Matrix focuses on brain-inspired AI compute engines for diverse inferencing workloads.

Upsides

Growing demand for energy-efficient AI solutions boosts d-Matrix's low-power chiplets appeal.
Partnerships with companies like Microsoft could lead to strategic alliances.
Increasing adoption of modular AI hardware in data centers benefits d-Matrix's offerings.

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