---
title: 'Staff Systems and Platforms Software Engineer at d-Matrix'
canonical: 'https://feeny.ai/job/staff-systems-and-platforms-software-engineer-d-matrix-santa-clara-yjwz1q4zetrq'
type: 'job'
last_seen: '2026-11-06'
---

# Staff Systems and Platforms Software Engineer at d-Matrix

- **Company:** d-Matrix
- **Location:** Santa Clara, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-24
- **Last confirmed live:** 2026-11-06
- **Apply:** https://jobs.ashbyhq.com/d-matrix/747ebfe6-6641-4550-b0f0-50a33948a807/application

**Skills:** Embedded Software Development, Linux System-Level Programming, Linux Device Driver, Containers, Virtual Machines, C, C++, Python

> Design, implement, and validate runtime firmware and systems software for an AI compute platform focused on in-memory compute for datacenter AI inference. The role involves architecting multi-core CPU subsystems, debugging complex issues, and collaborating with hardware teams to ensure performance and coding standards.

## Job description

Join d-Matrix and help build the future of AI inference. We’ve pioneered a memory-centric architecture that brings compute directly into memory, making AI faster, more energy efficient, and accessible on a global scale. From chips and software to rack-scale systems, our team is tackling some of AI infrastructure’s hardest challenges — and shipping breakthrough technology today. If you want to create what comes next and help make infinite inference possible, we’d love to hear from you. Our culture is built on respect, collaboration, and direct communication. We value humility, we believe our different perspectives lead to better solutions, and we’re looking for people who are driven by execution and energized by hard problems. Location: Hybrid, working onsite at our Santa Clara, CA, headquarters 3 days per week. Staff Systems and Platforms Software Engineer

## Role Overview

d-Matrix is building an in-memory compute platform for AI inference in the datacenter, and this role owns the runtime software that makes that silicon perform. As a Staff Systems and Platforms Software Engineer, you'll architect and develop the runtime, low-level drivers, and systems software that run across the multi-core CPU subsystems inside our SoC and the systems that host it. You'll be the primary owner of runtime performance for the silicon product, setting delivery schedules, upholding d-Matrix's coding and methodology standards, and making the architectural calls that determine how fast and reliably our chips run in production. You'll work closely with the hardware team, hardware verification, and the rest of software engineering to get there.

## What You Will Do

- Architect, document, and develop runtime software that executes across the SoC's multi-core CPU subsystems.
- Own end-to-end runtime performance of the silicon product.
- Design and develop low-level drivers and systems software for the platforms that host the SoC.
- Design, implement, and develop distributed, scale-out systems software for AI inference infrastructure.
- Set delivery schedules and ensure software meets d-Matrix coding and methodology guidelines.
- Identify, analyze, and debug complex systems-level software issues.
- Deliver production-quality code across the runtime and driver stack.
- Collaborate with the hardware team, hardware verification team, and other software engineers throughout development.

## What You Will Bring

- Bachelor's degree in computer engineering, electrical engineering, or a related field, with a minimum of 5 years of industry experience in embedded software development.
- Hands-on experience with Linux system-level programming.
- Strong knowledge of Linux device drivers.
- Hands-on systems programming experience in C or C++.
- Experience working with containers and VMs.
- Strong operating systems fundamentals.
- Excellent written and verbal communication skills.

## Preferred Qualifications

- Experience with Python.
- Understanding of the GPU accelerator compute stack.

## 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 individuals 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 all 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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