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D-
Principal Software Engineer in Test (SDET)
d-Matrix · United States
About The Role
Join d-Matrix, a leading AI compute engine company, as a Principal Software Engineer in Test (SDET). In this senior individual contributor role, you will set the technical direction for test strategy, mentor junior engineers, and work closely with software development, product, and systems teams. You will own the development and continuous improvement of d-Matrix's end-to-end and regression test infrastructure, ensuring quality across the full stack. This is a unique opportunity to have direct ownership over the quality of the software stack that powers d-Matrix's AI compute engine.
- Assumer la responsabilité technique de la stratégie de test et encadrer les ingénieurs juniors dans la planification, l'automatisation et l'exécution des tests.
- Développer et améliorer l'infrastructure de test de bout en bout et de régression de d-Matrix, en apportant rigueur et évolutivité à la qualité.
- Concevoir, mettre en œuvre et maintenir des suites de tests basées sur Python, couvrant à la fois les logiciels et les cas d'utilisation au niveau système.
- 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
- 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
- 8+ years of experience developing and testing lower-layer software stacks including FPGAs, bootloaders, and host runtime drivers
- 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
- Fluency in Python programming; ability to write production-quality test code applying advanced data structures and algorithms
- Knowledge of Large Language Models (LLMs), their operational characteristics, and the inference stack — particularly in the context of hardware-software co-design
- Experience with machine learning frameworks and ML accelerator architectures; familiarity with the software stack required to run ML workloads on custom silicon
- Prior experience in a principal or staff-level QA or test engineering role with demonstrated team leadership and mentorship
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