---
title: 'Principal Test Automation Engineer at d-Matrix'
canonical: 'https://feeny.ai/job/principal-test-automation-engineer-d-matrix-santa-clara-rq4zjsz8c55v'
type: 'job'
last_seen: '2026-10-16'
---

# Principal Test Automation Engineer at d-Matrix

- **Company:** d-Matrix
- **Location:** Santa Clara, CA
- **Compensation:** $195k–$285k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-15
- **Last confirmed live:** 2026-10-16
- **Apply:** https://jobs.ashbyhq.com/d-matrix/60df1a00-6f18-4ef4-b1dc-839fd4333e60

## 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. Principal Test Automation Engineer Location: Santa Clara, Ca / Remote, US

## Role Overview

d-Matrix is hiring a Principal Software Engineer to define and build how we use AI-enabled automation across the software development lifecycle, from build and CI through testing and release. Our codebase spans a kernel compiler, firmware, device drivers, and an inference serving stack running on silicon we designed ourselves. Tests require real hardware, correctness is numerical rather than pass/fail, and failures can originate in any of several layers. You will set the technical direction for AI-enabled workflow automation and build the foundations other engineers rely on, including the agent harness, integrations into GitLab, Jira, test results, and logs, guardrails, and evaluation methods that show whether an automation actually helped. You will stay hands-on and ship the hardest pieces yourself, working alongside a Senior/Staff engineer in the same area while raising the bar for how the broader engineering organization uses AI in its daily work.

## What You Will Do

- Set the technical direction for AI-enabled workflow automation across build, CI, test, and release.
- Build the shared foundation, including the agent harness and tool integrations into GitLab, Jira, test results, logs, and observability data.
- Develop evaluation methodology to measure whether an automation saves time and preserves correctness.
- Define guardrails and standards for where AI acts autonomously, where it proposes and a human decides, and how every change stays auditable.
- Deliver the first Quality Engineering automations, including cross-layer failure attribution, failure clustering and defect deduplication, coverage-gap analysis, and release-readiness summaries.
- Raise the bar across engineering through shared patterns, design reviews, and mentoring.
- Determine when an agent, a deterministic tool with a narrow model step, or a simple script is the right solution, and teach that judgment to others.

## What You Will Bring

- Extensive production software engineering experience, with strong Python skills.
- Enough Rust and/or C++ experience to understand build flows and diagnose compiler errors.
- Experience shipping AI-enabled tools or automation that others relied on in production, beyond demos.
- Deep hands-on experience with LLM APIs, agent harnesses, tool integration, and context engineering.
- Experience designing evaluations for nondeterministic systems, showing that an automation helped without breaking something else.
- Sound judgment about when AI is the right tool, including examples of choosing not to use it.
- Strong fluency across the development lifecycle, including CI/CD, testing, and release processes.
- A track record of setting technical direction across teams that do not report to you.

## Preferred Qualifications

- Exposure to compilers, firmware, or hardware-in-the-loop test environments.
- Experience building tool integrations with MCP or similar protocols.
- Experience working with GitLab, Jira, or Prometheus APIs.
- Experience managing cost and latency in LLM-based systems.
- Daily use of AI coding tools such as Claude Code, Cursor, or Copilot, with well-formed opinions on where they help and where they do not.

## 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)

## Other roles at d-Matrix

- [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
- [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
- [Staff Software Engineer, Developer Automation - Bazel](https://feeny.ai/job/staff-software-engineer-developer-automation-bazel-d-matrix-santa-clara-g6jehaw0fgr3) — Santa Clara, CA
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