---
title: 'Principal System Software Engineer, AI Inference Execution at d-Matrix'
canonical: 'https://feeny.ai/job/principal-system-software-engineer-ai-inference-execution-d-matrix-santa-clara-0w9ynznmrm9p'
type: 'job'
last_seen: '2026-11-06'
---

# Principal System Software Engineer, AI Inference Execution at d-Matrix

- **Company:** d-Matrix
- **Location:** Santa Clara, CA
- **Compensation:** $195k–$285k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-28
- **Last confirmed live:** 2026-11-06
- **Apply:** https://jobs.ashbyhq.com/d-matrix/7b4b1167-1d63-4d35-b9cb-02e4ddab8436/application

**Skills:** System software, Data structures, Computer architecture, Machine learning fundamentals, C, C++, Python, Linux, Distributed software design, High-performance software implementation, Inference servers, Model serving frameworks, TensorRT-LLM, vLLM, SGLang, PyTorch, TensorFlow, ONNX Runtime, NCCL, OpenMPI

> The Principal AI/ML System Software Engineer leads the productization of the software stack for the AI compute engine. Responsibilities include developing, enhancing, and maintaining next-generation AI deployment software, optimizing hardware-software co-design, and building scalable software deliverables within tig...

## 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.

The role: Principal System Software Engineer, AI Inference Execution 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 the next-generation AI deployment software. 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 are able to build and scale software deliverables in a tight development window. You will work with a team of system software experts to build out the deployment infrastructure, working closely with other software (ML and compilers) and hardware experts in the company.

What you will bring: Minimum:

- BS in Computer Science, Engineering, Math, Physics, or related degree with 12+ years of industry software development experience and MS in Computer Science, Engineering, Math, Physics, or related degree preferred with 6+ years
- Strong grasp of system software, data structures, computer architecture, and machine learning fundamentals
- Proficient in C/C++/Python development in Linux environment and using standard development tools
- Experience with distributed, high-performance software design and implementation
- Self-motivated team player with a strong sense of ownership and leadership.

Preferred:

- MS or PhD in Computer Science, Electrical Engineering, or related fields
- Experience with inference servers/model serving frameworks (such as TensorRT-LLM, vLLM, SGLang, etc.)
- Experience with deep learning frameworks (such as PyTorch and TensorFlow)
- Experience with deep learning runtimes (such as ONNX Runtime, TensorRT, etc.).
- Experience with distributed systems collectives such as NCCL and OpenMPI
- Experience with software testing fundamentals
- Experience deploying ML workloads (LLMs, VLMs, NLP, etc.) on distributed systems.
- Experience with Kubernetes, Ray, or other MLOps tools and techniques used from definition to deployment
- Prior startup, small team, or incubation experience
- 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 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)

## Other roles at d-Matrix

- [Staff Quality Automation Engineer](https://feeny.ai/job/staff-quality-automation-engineer-d-matrix-belgrade-n8bnfyvs6w5f) — Belgrade, Serbia
- [Sr. Staff Thermal Design Engineer](https://feeny.ai/job/sr-staff-thermal-design-engineer-d-matrix-santa-clara-39ny8qf64pk1) — Santa Clara, CA
- [Director, Quality and Reliability Engineering – AI Hardware](https://feeny.ai/job/director-quality-and-reliability-engineering-ai-hardware-d-matrix-santa-clara-7dgjc25jaem6) — Santa Clara, CA
- [Vice President, Investor Relations](https://feeny.ai/job/vice-president-investor-relations-d-matrix-san-francisco-w5vdzjxkge26) — San Francisco, CA
- [Head of Talent Acquisition](https://feeny.ai/job/head-of-talent-acquisition-d-matrix-santa-clara-efmpa19dtvy2) — Santa Clara, CA
- [Senior Staff Inference Performance Engineer](https://feeny.ai/job/senior-staff-inference-performance-engineer-d-matrix-santa-clara-bwd8va6rtmg4) — Santa Clara, CA
- [Staff Test & Release Engineer, Inference Cloud](https://feeny.ai/job/staff-test-release-engineer-inference-cloud-d-matrix-santa-clara-rr5c8gtjtcj0) — Santa Clara, CA
- [Principal Test Automation Engineer](https://feeny.ai/job/principal-test-automation-engineer-d-matrix-santa-clara-rq4zjsz8c55v) — Santa Clara, CA
- [Senior Infrastructure Engineer](https://feeny.ai/job/senior-infrastructure-engineer-d-matrix-remote-y6h8b1ddg7zq)
- [Director, Software Quality Engineering](https://feeny.ai/job/director-software-quality-engineering-d-matrix-santa-clara-3s339nvntwb4) — Santa Clara, CA