1 day ago
Base Salary
$195k - $285k/yr
Responsibilities
- Set technical direction for AI-enabled workflow automation across build, CI, testing, and release.
- Build agent harnesses and integrations with GitLab, Jira, test results, logs, and observability data.
- Develop evaluation methods to measure automation effectiveness while preserving correctness.
- Define guardrails, autonomy standards, human review points, and auditability requirements for AI systems.
- Deliver quality engineering automations for failure attribution, failure clustering, defect deduplication, coverage-gap analysis, and release-readiness summaries.
- Establish shared engineering patterns, participate in design reviews, mentor engineers, and set technical direction across teams without direct authority.
Requirements
- 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 production AI-enabled tools or automation used by others beyond demonstrations.
- Deep hands-on experience with LLM APIs, agent harnesses, tool integration, and context engineering.
- Experience designing evaluations for nondeterministic systems and measuring their impact without reducing correctness.
- Strong fluency across CI/CD, testing, and release processes, with sound judgment about when AI is appropriate.
- A track record of setting technical direction across teams that do not report to you.
- Preferred: exposure to compilers, firmware, or hardware-in-the-loop test environments.
- Preferred: experience with MCP or similar protocols, GitLab, Jira, or Prometheus APIs, and cost and latency management for LLM-based systems.
- Preferred: daily use of Claude Code, Cursor, or Copilot.
Benefits
- Location: Santa Clara, California or remote within the United States.
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About d-Matrix
d-Matrix builds AI inference computing platforms for data centers, combining custom silicon with systems, networking, and software. Its flagship Corsair platform and JetStream fabric focus on low-latency, energy-efficient generative AI inference at scale. Founded in 2019 and headquartered in Santa Clara, California, the privately held company sells hardware with accompanying software to cloud providers and enterprises deploying large AI models.