---
title: 'Staff Software Engineer, Developer Automation at d-Matrix'
canonical: 'https://feeny.ai/job/staff-software-engineer-developer-automation-d-matrix-santa-clara-8j9wgr5bj8sf'
type: 'job'
last_seen: '2026-10-16'
---

# Staff Software Engineer, Developer Automation at d-Matrix

- **Company:** d-Matrix
- **Location:** Santa Clara, CA
- **Compensation:** $155k–$235k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-01
- **Last confirmed live:** 2026-10-16
- **Apply:** https://jobs.ashbyhq.com/d-matrix/350596ca-060e-4b9a-9bba-75c6ff7937b3

## 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.

## Role Overview

Software Infrastructure owns the CI/CD and release pipeline that every d-Matrix engineer ships through. As a Staff-level individual contributor, you will drive the automation that diagnoses and fixes pipeline failures, such as deciding whether a failed CI job is a real regression, a flaky card, or an infrastructure issue, and identifying which merge broke an overnight test run. Rapid company growth and AI-accelerated development are increasing development velocity, and the pipeline from product through dev, test, and release must keep pace. You will blend modern AI techniques with traditional software automation to build highly reliable systems, and shape the architecture for compute and storage across an environment that spans cloud to on-prem, from firmware updates to rack-scale performance testing. You will partner with the Software Infrastructure team, development groups, and Quality Engineering to develop and spread best practices across the organization. This role is not primarily an AI agent role, and it is not a DevOps role. Kubernetes and systems skills are valued but are not the focus.

## What You Will Do

- Design and build automation that diagnoses and resolves CI/CD pipeline failures, including classification of regressions, flaky hardware, and infrastructure issues.
- Develop automated methods to identify which merges cause failures in long-running test suites.
- Evaluate and integrate AI techniques alongside deterministic automation to maximize reliability.
- Architect scalable compute and storage for build and test workloads across cloud and on-prem environments.
- Own release engineering practices, including versioning schemes, independent component release trains, and compatibility matrices.
- Reduce developer toil and time-to-signal across the product, dev, test, and release pipeline.
- Partner with development groups and Quality Engineering to drive adoption of new tooling and best practices.

## What You Will Bring

- Track record of building automation that measurably reduced toil or time-to-signal in a CI, release, or dev-tooling context.
- Release engineering experience, including versioning schemes, independent component release trains, and compatibility matrices.
- Architectural judgment on trade-offs such as AI versus deterministic software, and compute availability versus data locality.
- Strong software engineering fundamentals, with experience building production-grade automation rather than scripts.
- Track record of driving adoption of new tooling and best practices across teams that do not report to you.

## Preferred Qualifications

- Experience with GitLab CI and merge-train workflows at scale.
- Hands-on experience building LLM-based agents or tools for developer workflows, such as CI triage or code review.
- Experience with semantic versioning or independently versioned multi-component release systems.
- Experience as a user of CI/CD systems, with an understanding of the developer-customer perspective.
- Hands-on experience with containerized workloads, VMs, and Kubernetes.
- Experience with observability of distributed systems, including metrics, logging, reporting, and alerting.
- Systems administration skills for investigating host-level issues.

## 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
- [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
- [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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