Staff Test & Release Engineer, Inference Cloud

D-Matrix Corp.; Santa Clara (CA); Remote; USD 180,000 - 230,000; Full time

Job summary

d-Matrix is building the deployment and orchestration tech for inference services, spanning on-prem Corsair/GPU clusters and an Azure cloud. As Staff Test & Release Engineer, you own end-to-end testing and the release process, ensuring features are validated on hardware and delivered safely to customers.

You will extend test infra, partner with QE, product, platform and infra teams, and drive a move to independently released components with clear versioning, gates, and rollback plans.

Qualifications

• 6+ years in test infrastructure, software engineering in test, release engineering, or a closely related role.
• Track record of building test or release automation that measurably improved release reliability or speed.
• Experience running test and release infrastructure across on-premises clusters and a public cloud, preferably Azure.
• Strong Kubernetes experience, including deploying and debugging multi-service workloads, Helm, operators and custom resources, and automated test cluster setup and teardown.
• Experience designing CI/CD pipelines (such as GitLab CI, GitHub Actions, Buildkite, or Argo), including artifact versioning, environment promotion, and rollback.
• Proficiency in Python and pytest or a comparable framework, plus fluency in a second language sufficient to read and test the code under qualification (Rust in our stack).
• Experience testing on shared, limited hardware such as GPU or accelerator fleets, accounting for scheduling and faults.
• Sound judgment about end-to-end vs lower-stack testing and the ability to explain tradeoffs to code owners.

Responsibilities

• Design and build end-to-end test infrastructure for Inference Cloud that supports homogeneous and heterogeneous deployments, runs tests, and tears them down.
• Convert user stories into automated end-to-end tests, including handling failure cases like invalid API keys and unavailable endpoints.
• Bring real hardware into CI by testing on GPU and Corsair nodes, fairly scheduling across a shared pool, and managing flaky tests and failure routing.
• Own the release strategy for orchestration platform, Kubernetes tooling, and benchmarking tools, including versioning and go/no-go criteria.
• Lead the move to independently released components, defining breakdowns, cadence, versioning, and upgrade testing.
• Define release gates covering functional, upgrade/compatibility, and performance baselines.
• Collaborate with QE, product, platform, and infra on a shared test strategy with clear acceptance criteria.
• Enable feature engineers to write and own tests for their work.

Skills

Test infra

Release automation

Kubernetes

CI/CD pipelines

Python/pytest

GPU testing

Cross-team collab

AI tooling

Tools

GitHub Actions

GitLab CI

Buildkite

Argo

AKS

Azure DevOps

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.

Staff Test & Release Engineer, Inference Cloud

Location: Santa Clara, Ca / Remote, US

Role Overview

The Inference Cloud Engineering team builds the deployment and orchestration technology behind d-Matrix’s inference services: an internal cloud where teams test and tune models, and a customer-facing Cloud with self-service inference endpoints and compute. Our accelerators run in on-premises clusters, and parts of the internal cloud also run in Azure. As the Staff Test & Release Engineer, you will own how this software is tested end to end and how it is released. When we say a feature is done, an automated test has proven it works as the user story describes, on the hardware it will run on, and the release process can deliver it to customers predictably and roll it back safely. Many workloads span d-Matrix Corsair accelerators and GPUs, and that hardware is scarce and shared, which makes test design challenging. You will build on existing test suites, CI pipelines, and benchmarks, keep what works, and change the rest. You will partner with QE, product, platform, and infrastructure teams to build a test and release system that scales without slowing development. This is not a manual testing, gatekeeping, company-wide CI/CD, or performance engineering role.

What You Will Do

• Design and build end-to-end test infrastructure for Inference Cloud that stands up homogeneous and heterogeneous inference deployments on demand, runs tests against them, and tears them down.

• Turn user stories and acceptance criteria into automated end-to-end tests, including failure cases such as invalid API keys, unavailable endpoints, and failed draft nodes.

• Bring real hardware into CI by running tests on GPU and Corsair nodes, scheduling fairly on a limited shared pool, and owning test-signal quality, including flaky tests and fast routing of failures to the right owner.

• Own the release strategy for the orchestration platform, Kubernetes tooling, and benchmarking tools, including versioning, cadence, branching, promotion, rollback, release notes, and go/no-go criteria.

• Lead the move from a single platform-wide release to independently released components, defining the component breakdown, cadence, versioning, and compatibility and upgrade testing with platform architects.

• Define release gates covering functional tests, upgrade and compatibility tests, model accuracy evals, and performance baselines (time to first token, time per output token, throughput).

• Partner with QE, product, platform, and infrastructure teams on a shared test strategy, and push for acceptance criteria specific enough to test.

• Enable feature engineers to write and own tests for their own work.

What You Will Bring

• 6+ years in test infrastructure, software engineering in test, release engineering, or a closely related role, including owning end-to-end testing or releases for a distributed system.

• Track record of building test or release automation that measurably improved release reliability or speed.

• Experience running test and release infrastructure across on-premises clusters and a public cloud, preferably Azure (AKS, Azure DevOps or GitHub Actions on Azure, Azure networking and identity).

• Strong Kubernetes experience, including deploying and debugging multi-service workloads, Helm, operators and custom resources, and automated test cluster setup and teardown.

• Experience designing CI/CD pipelines (such as GitLab CI, GitHub Actions, Buildkite, or Argo), including artifact versioning, environment promotion, and rollback.

• Proficiency in Python and pytest or a comparable framework, plus fluency in a second language sufficient to read and test the code under qualification (much of our orchestration layer is Rust).

• Experience testing on shared, limited hardware such as GPU or accelerator fleets, accounting for scheduling, contention, and hardware faults.

• Sound judgment about what to test end to end versus lower in the stack, and the ability to explain tradeoffs to code owners.

• Record of building consensus across teams and turning input into a strategy people follow.

• Fluency with AI and agentic tools for writing tests, triaging failures, and searching logs and code, with the discipline to verify their output.

Preferred Qualifications

• Experience testing or releasing LLM serving systems such as vLLM, SGLang, or TensorRT-LLM, including accuracy evals (such as GSM8K, HumanEval, MMLU) and performance benchmarks as release gates.

• Familiarity with speculative decoding, disaggregated serving, or heterogeneous inference.

• Hardware-in-the-loop testing experience, including qualifying software across driver, firmware, and hardware versions.

• Experience with operator and controller testing tools such as envtest, kuttl, or chainsaw, and with upgrade and CRD version-migration testing.

• Experience shipping software into customer-managed, on-premises Kubernetes environments, including compatibility matrices and customer install packaging.

• Experience with canary or progressive rollouts for customer-facing services.

• Rust experience.

• Startup experience or comfort in environments where priorities shift quickly.

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.