Sr. Staff, Software Machine Learning Test Engineer

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. Location: Hybrid, working onsite at our Bangalore, India headquarters 3 days per week. What you will do: Role: Sr. Staff, Software Machine Learning Test Engineer The role requires you to be part of the team that helps productize the SW stack for the d-Matrix AI compute engine. As part of the Software QA team, you will be responsible for the test automation development for d-Matrix components and products, and you will be responsible for maintaining and improving the test infrastructure for next-generation AI hardware. You have the logic to build and scale the test framework to deliver highly qualified software stacks and hardware products. As a part of the SW-QA team, you’ll be involved in leveraging the d-Matrix GitLab CI/CD infrastructure and Pytest framework to achieve component and end-to-end qualification. You will be involved in developing large language model accuracy, benchmarking, and robustness testing using your own developed automation. You will work with global ML core kernel teams, compiler teams, runtime teams, hardware architecture experts, and machine learning model researchers during the qualification process. You also could contribute to the new ML/AI technologies. What you will bring: - Bachelor's or master's degree in Computer Science, Electrical Engineering, or related degree with 7+ Years of Industry Experience - Good knowledge of large language models and m