d-Matrix is redefining AI inference with memory-centric compute built for ultra-low latency, greater efficiency, and scalable AI infrastructure.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about this role
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.
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...
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