Full-Time

Software Engineer – Senior Staff Kernels

Confirmed live in the last 24 hours

d-Matrix

d-Matrix

201-500 employees

AI compute platform for datacenters

No salary listed

Senior

Santa Clara, CA, USA

Hybrid, working onsite at our Santa Clara, CA headquarters 3 days per week.

Category
Embedded Engineering
Software QA & Testing
Software Engineering
Required Skills
Python
CUDA
Data Structures & Algorithms
Machine Learning
C/C++
FPGA
Linux/Unix
Requirements
  • MS in Computer Engineering, Math, Physics or related degree with 7+ years of industry experience or PhD in Computer Engineering, Math, Physics or related degree with 5+ 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++ and Python
  • Experience implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, and 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
Responsibilities
  • Be part of the team that helps productize the SW stack for the 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
  • Work closely with other software (ML, Systems) and hardware (mixed signal, DSP, CPU) experts in the company
  • Build and scale software deliverables in a tight development window
Desired Qualifications
  • Prior startup, small team, or incubation experience
  • Experience with ML frameworks such as TensorFlow and or PyTorch
  • Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc.
  • Experience with a deep learning framework (such as PyTorch or Tensorflow) and ML models for CV, NLP, or Recommendation
  • Work experience at a cloud provider or AI compute / sub-system company

d-Matrix develops an AI compute platform aimed at improving efficiency for large datacenter customers. Its main product, the digital in-memory compute (DIMC) engine, integrates computing capabilities directly into programmable memory, which helps reduce power consumption and improve data movement. This technology allows for high-performance AI inference acceleration while maintaining accuracy. d-Matrix differentiates itself from competitors by offering scalable and modular solutions through a network of low-power chiplets that can be tailored for different applications. The company's goal is to provide energy-efficient AI compute solutions that meet the demands of large-scale datacenter operators.

Company Size

201-500

Company Stage

Series B

Total Funding

$154M

Headquarters

Santa Clara, California

Founded

2019

Simplify Jobs

Simplify's Take

What believers are saying

  • Growing interest in brain-inspired computing aligns with d-Matrix's mission and products.
  • The rise of AI-driven chatbots increases demand for specialized AI chips like d-Matrix's.
  • Collaboration with Micron Technology enhances product development and market reach.

What critics are saying

  • Increased competition from Nvidia and startups could pressure d-Matrix's market share.
  • Dependency on Micron Technology may affect d-Matrix's supply chain and innovation pace.
  • Regulatory changes like the EU's AI Act could impose compliance costs on d-Matrix.

What makes d-Matrix unique

  • d-Matrix's DIMC engine integrates compute into programmable memory for enhanced efficiency.
  • The company offers scalable AI solutions through low-power, customizable chiplets.
  • d-Matrix focuses on power-efficient AI inference acceleration for large datacenter operators.

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Benefits

Hybrid Work Options

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

3%

2 year growth

14%
VC News Network
Jan 2nd, 2025
Corsair: The Future of Generative AI Processing Unveiled

Additionally, Micron Technology is collaborating with d-Matrix to bolster Corsair's development and expansion, ensuring that this innovative processor meets the growing demands of the industry.

DIG Watch
Nov 21st, 2024
d-Matrix debuts AI chip for chatbots

Silicon Valley firm d-Matrix has launched its first AI chip, designed to enhance AI services like chatbots and video generators.

Wall Street Pit
Nov 19th, 2024
Challengers Arise: Can AMD, Intel, and Startups Take on Nvidia's AI Chip Reign?

The design and production of these chips is a highly intricate process, as demonstrated by d-Matrix's recent launch of its AI processor, "Corsair."

VentureBeat
Dec 27th, 2023
Ai Predictions For 2024: What Top Vcs Think

Are you ready to bring more awareness to your brand? Consider becoming a sponsor for The AI Impact Tour. Learn more about the opportunities here. As 2023 draws to a close, it’s a time of reflection on the monumental advances — and ethical debates — surrounding artificial intelligence this past year. The launch of chatbots like Bing Chat and Google Bard showcased impressive natural language abilities, while generative AI models like DALL-E 3 and MidJourney V6 stunned with their creative image generation.However, concerns were also raised about AI’s potential harms. The EU’s landmark AI Act sought to limit certain uses of the technology, and the Biden Administration issued guidelines on its development.With rapid innovation expected to continue, many wonder: What’s next for AI? To find out, we surveyed leading venture capitalists investing in artificial intelligence startups for their boldest predictions on what 2024 may bring. Will we see another “AI winter” as hype meets reality? Or will new breakthroughs accelerate adoption across industries? How will policymakers and the public respond?VCs from top firms including Bain Capital Ventures (BCV), Sapphire Ventures, Madrona, General Catalyst and more offered their outlook on topics ranging from the future of generative AI to GPU shortages, AI regulation, climate change applications, and more

Yahoo Finance
Oct 24th, 2023
A new phase of the AI race is coming - and chip startup d-Matrix could be the winner

With backers like Microsoft, d-Matrix is competing against Nvidia to become the next big thing in AI chips.