---
title: 'Staff Quality Automation Engineer at d-Matrix'
canonical: 'https://feeny.ai/job/staff-quality-automation-engineer-d-matrix-belgrade-n8bnfyvs6w5f'
type: 'job'
last_seen: '2026-11-06'
---

# Staff Quality Automation Engineer at d-Matrix

- **Company:** d-Matrix
- **Location:** Belgrade, Serbia
- **Employment:** full-time
- **Posted:** 2026-10-28
- **Last confirmed live:** 2026-11-06
- **Apply:** https://jobs.ashbyhq.com/d-matrix/80c5885c-402c-424c-b8d4-d36fedd91bf2

## 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.

## Role overview

The Quality Engineering (QE) team tests, triages and reports deficits, then verifies fixes. It works with Product and Engineering to assess functional behavior, numerical accuracy, performance and stability. As a Staff Quality Automation Engineer, you will turn QE workflows, automation and prototypes into reliable internal products used within QE and across d-Matrix. You will build reusable capabilities that improve how teams test and develop software. You will support test engineers and software engineers across d-Matrix in delivering robust product releases. You already use AI in your engineering work and actively explore what new tools make possible. You will bring fresh approaches to QE and turn useful experiments into capabilities colleagues can adopt.

## What you will do

- Work with QE and Engineering to understand users' needs and agree priorities. Define scope and expected results. Raise dependencies and blockers, and ask for help reaching the right owner.
- Build and maintain shared automation, test frameworks and harnesses for functional, integration, regression and release testing across supported software and hardware configurations.
- Turn scripts and prototypes into tools others can use. Provide clear interfaces, configuration, setup instructions, error handling and diagnostics. Review code and test the tools.
- Integrate tools with existing continuous integration (CI), nightly and release workflows alongside infrastructure owners. Record builds, configurations, commands, inputs and results so another engineer can reproduce failures.
- Support adoption through documentation, examples and user feedback. Check that colleagues can use tools independently. Measure human effort, reliability and result quality, including review and maintenance costs.
- Assess coverage, assertions, expected results and negative cases. Distinguish product deficits, environment problems and unreliable tests. Work with developers to verify fixes and provide testing cover while progressing shared automation.
- Keep up with advances in AI coding agents and workflow tools. Test promising approaches on real QE work, share what you learn and build on the ones that improve results. Use approved tools, check outputs and follow approved data-handling rules.

Initial outcomes — proposed first 90 days

- Understand one QE workflow, its users, dependencies and failure modes. Establish an improvement baseline.
- Deliver a reviewed automation improvement for an agreed need in the existing test environment.
- Show reliable repeat execution, useful diagnostics and reproducible results against identified builds and configurations.
- Have intended users set up, run and troubleshoot the tool from its documentation. Act on their feedback.
- Compare effort, reliability or result quality with the baseline. Hand over operating and maintenance notes.

Agree scope, targets and measurement windows with the manager after onboarding.

## What you will bring — minimum qualifications

- 5+ years of experience
- Strong software-development skills: write, debug and maintain code, explain design choices, review others' work and investigate failures beyond a test's surface result.
- Experience building shared test automation, frameworks or engineering tools that others use repeatedly.
- Evidence of turning prototypes or manual workflows into reliable tools, including configuration, failure handling, documentation, adoption and maintenance.
- Practical test engineering: requirements, boundary and negative cases, coverage, and failure investigation using code, logs and reproducible experiments.
- Experience with Linux, version control, code review, automated tests and CI workflows.
- Regular use of AI coding agents or AI workflows, with examples of what you built, how your approach evolved and how you checked the results.
- Experience guiding technical work across distributed teams through design and code reviews. Explain tradeoffs, understand users' needs, make progress independently and raise missing decisions promptly.

## Preferred qualifications

- Systems software testing in firmware, drivers, compilers, runtimes or distributed systems, including real devices.
- ML inference, model execution, numerical comparisons, quantization or performance benchmarks.
- Test frameworks, CI pipelines, containers, reporting or lab automation.
- Hardware-in-the-loop, multi-card or multi-node configurations, and extended stability or soak testing.
- Internal engineering products used across teams, or human-reviewed AI workflows used repeatedly.

## 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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