---
title: 'Principal Software Engineer, Kernels at d-Matrix'
canonical: 'https://feeny.ai/job/principal-software-engineer-kernels-d-matrix-santa-clara-1jxmv8kpezj7'
type: 'job'
last_seen: '2026-09-11'
---

# Principal Software Engineer, Kernels at d-Matrix

- **Company:** d-Matrix
- **Location:** Santa Clara, CA
- **Compensation:** $195k–$285k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-15
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/d-matrix/a8c4d6e0-bc72-4ffc-ab5c-4d8b3769f085/application

**Skills:** C/C++, Python, Linux, CUDA, FPGAs, DSPs, GPUs, AI accelerators, GEMMs, Convolutions, BLAS, SIMD operators, Softmax, Layer normalization, Pooling, Tensilica, Computer architecture, Data structures, System software, TensorFlow

> Lead the development and optimization of software kernels for next-generation AI hardware, mapping computational graphs to underlying architectures. Collaborate with compiler, ML, and hardware experts to productize the software stack for AI compute engines.

## Job description

At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution.  Ready to come find your playground? Together, we can help shape the endless possibilities of AI. Location: Hybrid, working onsite at our Santa Clara, CA, headquarters 3-5 days per week. The Role: Principal Software Engineer, Kernels What you will do: The role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the software team, you will be responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware. You possess experience building software kernels for HW architectures. You possess a very strong understanding of various hardware architectures and how to map algorithms to the architecture. You understand how to map computational graphs generated by AI frameworks to the underlying architecture. You have had past experience working across all aspects of the full-stack toolchain and understand the nuances of what it takes to optimize and trade off various aspects of hardware-software co-design. You can build and scale software deliverables in a tight development window. You will 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. What you will bring: Minimum:

- MS in computer engineering, math, physics, or a related degree with 12+ years of industry experience or a PhD in computer engineering, math, physics, or a related degree with 7+ 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 environments 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.

Preferred:

- Prior startup, small team, or incubation experience.
- Experience with ML frameworks such as TensorFlow and/orPyTorch.
- 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/subsystem company.

## Equal Opportunity Employment Policy

d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day. d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.

## About d-Matrix

## Company Overview
- **One-liner**: d-Matrix is building ultra-low latency, memory-centric AI inference hardware and software platforms for datacenter-scale generative AI workloads.
- **Entity Type**: Private (Series C, total raised ~$429M–$450M per conflicting reports)
- **Headquarters**: Santa Clara, California, USA
- **Founded**: 2019
- **Founders**: Sid Sheth (CEO) & Sudeep Bhoja (CTO / Founder)

## Core Business
- **Primary industries**: AI infrastructure, semiconductor / hardware acceleration, datacenter compute
- **Target customers**: Cloud providers, enterprises running large-scale generative AI inference (B2B)
- **Mission / purpose**: To transform AI from unsustainable to attainable by breaking through limits of latency, cost, and energy in inference.

## Products & Services
- **Corsair™** – AI inference accelerator platform (PCIe form factor, chiplet-based, 3D stacked DRAM) purpose-built for the decode phase of disaggregated inference. Works alongside GPUs for low-latency interactive AI.
- **JetStream™** – Purpose-built I/O accelerator for AI inference (networking fabric to scale accelerator-to-accelerator communication).
- **Aviator** – Software stack that orchestrates and optimizes inference workloads on d-Matrix hardware.
- **SquadRack™** – Industry’s first rack-scale, disaggregated standards-based solution for AI inference, built with infrastructure partners.

## Market Standing
- **Valuation**: Not publicly disclosed (private company)
- **Key metric**: Total funding – $429M (per CB Insights) or $450M (per company blog after $275M Series C). Series C announced in late 2025 / early 2026.
- **Notable investors**: Temasek, M12 (Microsoft’s venture arm), Playground Global, Nautilus Venture Partners, Industry Ventures, Mirae Asset Financial Group, Triatomic Capital, Bullhound Capital.
- **Growth signals**:
  - Corsair entered full production in June 2026.
  - Won “AI Processor Innovation Award” from AI Breakthrough in June 2026.
  - Filed 21+ patents in parallel computing, neural networks, NLP.
  - Opened engineering offices in Santa Clara, Toronto, Bengaluru, Sydney, and Belgrade – global expansion underway.

## Competitive Advantages
- **Memory-centric compute architecture (3DIMC™)** that eliminates latency bottlenecks caused by traditional memory-bound AI inference.
- Chiplet-based design enables scaling to 100B+ parameter models in a PCIe form factor.
- Disaggregated, standards-based rack-scale approach (SquadRack) that integrates seamlessly with existing datacenter infrastructure.
- Team of industry veterans who have shipped over 100 million chips and generated $5B+ in prior revenue.

## Strategic Focus
- Scaling production of Corsair to meet customer demand for agentic AI workloads (voice agents, coding tools, real-time inference).
- Building a heterogeneous compute ecosystem where d-Matrix accelerators complement GPUs rather than replace them.
- Expanding software stack (Aviator) and networking (JetStream) to deliver full-stack inference solutions.

## Why Work Here
- **Culture**: “Round pegs in square holes” – builders, innovators, dreamers. Emphasis on humility, direct communication, and collaboration.
- **Work model**: Remote & hybrid working model (global offices in Silicon Valley, Sydney, Bengaluru, Toronto, Belgrade).
- **Benefits**: Competitive pay and equity, health care, flexible time-off, paid paternity leave, 401k, on-site fitness centers, free food/snacks, peer coaching & development, team-building activities.
- **Engineering environment**: Work with world-leading engineers and researchers on cutting-edge AI hardware/software. Opportunity to shape the future of AI inference infrastructure.

## Sources
1. [d-matrix.ai – Homepage](https://www.d-matrix.ai/)
2. [d-matrix.ai – About / Leadership](https://www.d-matrix.ai/about/)
3. [d-matrix.ai – Careers](https://www.d-matrix.ai/careers/)
4. [d-matrix.ai – Corsair Production & AI Breakthrough Award](https://www.d-matrix.ai/announcements/d-matrix-corsair-ai-inference-platform-enters-full-production-to-meet-customer-demand/)
5. [CB Insights – d-Matrix Company Profile](https://www.cbinsights.com/company/d-matrix)
6. [Ashby – d-Matrix Jobs](https://jobs.ashbyhq.com/d-matrix)

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