---
title: 'Principal Software Engineer, SDK & Lowering Stack at d-Matrix'
canonical: 'https://feeny.ai/job/principal-software-engineer-sdk-lowering-stack-d-matrix-santa-clara-skfnfyc8cvs0'
type: 'job'
last_seen: '2026-09-11'
---

# Principal Software Engineer, SDK & Lowering Stack at d-Matrix

- **Company:** d-Matrix
- **Location:** Santa Clara, CA
- **Compensation:** $190k–$300k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-31
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/d-matrix/fc9434b7-c256-46f2-bdba-8825c515ceeb/application

**Skills:** C/C++, Python, Linux, CI/CD, API Design, Systems Engineering, Computer Architecture, Data Structures, Machine Learning Fundamentals, GPU Kernel Development, TPU Optimization, High-Performance Computing (HPC), ML Compilers, MLIR, LLVM, TVM, Glow, AI-assisted coding tools

> Architect and develop the kernel authoring SDK and lowering stack for Corsair dataflow architecture. Champion engineering best practices, build APIs, create development tools, and lead junior engineers while ensuring high-quality, scalable software delivery.

## 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: Santa Clara, CA, headquarters, but open to other locations within the US/Canada. The role: Principal Software Engineer, SDK & Lowering Stack What you will do:

- Help architect and develop the kernel authoring SDK that targets our novel Corsair dataflow architecture.
- Champion software engineering best practices across the team by establishing robust CI/CD pipelines, driving automated testing, and enforcing rigorous code review processes.
- Build intuitive, domain-specific APIs, determining the optimal boundaries for kernel developers and compiler teams.
- Create development tools to be used in kernel authoring and modeling lowering flows.
- Lead and mentor junior engineers, fostering a culture of technical excellence, accountability, and collaborative problem-solving.
- Leverage systems engineering ability to understand complex interactions between hardware and software components, proposing and implementing solutions integral to the software stack.
- Take ownership of delivering solutions by interacting with stakeholders, generating requirements, documenting designs, implementing, debugging, and deploying.
- Build and scale software deliverables in a tight development window.

Minimum experience:

- MS in Computer Engineering, Math, Physics, or a related degree with 8 years of industry experience or a PhD in Computer Engineering, Math, Physics, or a related degree with 4 years of industry experience.
- Proficient in C/C++ and Python development in a Linux environment and using standard development tools.
- Proven track record of driving software engineering best practices, including CI/CD integration, continuous testing, and leading comprehensive code reviews.
- Deep grasp of computer architecture, data structures, system software, and machine learning fundamentals.
- Demonstrated experience designing high-quality, scalable APIs and SDKs, with a comprehensive systems engineering mindset to solve end-to-end problems.
- Self-motivated team player with a profound sense of ownership and leadership.

Preferred experience:

- Proven experience writing and optimizing high-performance kernels targeting GPUs, TPUs, or custom ML accelerators.
- Background working in High-Performance Computing (HPC) environments, managing large-scale distributed workloads and resource optimization.
- Experience developing ML compilers and working with intermediate representations or algorithms (e.g., MLIR, LLVM, TVM, Glow, etc.).
- Familiarity with leveraging AI-assisted coding tools to accelerate software development and elevate code quality.
- 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 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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