Principal Software Engineer in Test (SDET), d-Matrix

• Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, with 10+ years of industry experience
• 8+ years of experience in software development with strong command of data structures and algorithms
• 8+ years of experience developing and testing lower-layer software stacks including FPGAs, bootloaders, and host runtime drivers
• 5+ years of experience in firmware design, implementation, and troubleshooting
• 3+ years of experience with embedded architectures and IO technologies, including PCIe, GPUs, and CPUs
• Fluency in Python programming; ability to write production-quality test code applying advanced data structures and algorithms
• Proven ability to debug complex, multi-layered issues spanning hardware and software
• Comfort navigating ambiguous, open-ended problems and driving toward structured, measurable outcomes
• Excellent verbal and written communication skills; able to represent quality concerns clearly across engineering, product, and leadership

Desirable

• We are looking for a Principal Software Engineer in QA to join our Software Qualification team and play a central role in productizing the d-Matrix AI compute engine
• This is a senior individual contributor role with team leadership responsibilities — you will both set the technical direction for test strategy and directly mentor and guide junior engineers through test planning, automation, and execution
• You will work side by side with software development, product, and systems teams to design, automate, and execute comprehensive test suites covering the features, functionalities, and deployment scenarios of our next-generation AI chip software stack
• You will own the development and continuous improvement of d-Matrix’s end-to-end and regression test infrastructure, bringing rigor and scalability to quality across the full stack — from low-level firmware and hardware interfaces up through runtime and ML workload execution
• Lead and mentor junior QA engineers in test planning, test case design, automation best practices, and systematic debugging
• Define test coverage strategies for new features and deployment scenarios in collaboration with product, software, and systems teams
• Drive root cause analysis for test failures and escaped defects; own resolution workflows with engineering counterparts
• Represent the Software Qualification team in cross-functional design and planning reviews, surfacing quality risks early
• Design, implement, and maintain scalable Python-based test suites within the Pytest framework, covering both software and system-level use cases
• Build and improve the d-Matrix end-to-end test suite and regression test suite, integrated into CI/CD pipelines using Jenkins and GitLab
• Develop and maintain test infrastructure that supports rapid, reliable validation of workloads and ML models across hardware and software configurations
• Write high-quality Python programs applying advanced data structures and algorithms to complex testing scenarios
• Design and execute test cases covering lower-layer stack components including FPGAs, bootloaders, and host runtime drivers
• Validate firmware behavior, embedded architectures, and IO technologies including PCIe interfaces
• Test integration across CPUs, GPUs, and d-Matrix AI accelerators, ensuring correct end-to-end system behavior
• Engage deeply in software bug triaging and debugging — including complex, ambiguous issues that span hardware and software boundaries
• Partner with software development, product, and systems teams on test coverage planning and result interpretation
• Clearly communicate test plans, quality status, and risk assessments to both technical and non-technical stakeholders
• Contribute to shared QA standards, tooling, and documentation used across the engineering organization
• As a Principal engineer on the Software Qualification team, you will have direct ownership over the quality of the software stack that powers d-Matrix’s AI compute engine — from the lowest hardware interfaces up through full ML workload execution
• You will build test infrastructure that scales with the product, lead a team of engineers, and work at the intersection of hardware and software in one of the most technically demanding domains in AI computing. If you thrive on deep technical ownership, complex problem-solving, and making quality a first-class engineering discipline, this role is built for you