Location Bangalore Karnataka India Employment Type Full time Location Type Hybrid Department R D - SW Systems Compensation IC5 155 3K - 234 4K o Offers Equity o Offers Bonus The pay range below is for all roles at this level across all US locations and functions Individual pay rates depend on a number of factors including the role s function and location as well as the individual s knowledge skills experience education and training We also offer incentive opportunities that reward employees based on individual and company performance This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones In addition to the usual Medical Dental Vision 401k our inclusive rewards plan empowers our people to care for their whole selves An investment in your future is an investment in ours 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 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 Positive knowledge of large language models and machine learning fundamentals Good knowledge of Python programming Python Data Structures and Linux environment Self-motivated team player Desired Prior startup small team experience Experience with Machine Learning models and their layers Experience with Deep Learning Tensorflow Transformers and PyTorch testing Knowledge of Gitlab CI CD infrastructure Equal Opportunity Employment Policy d-Matrix is proud to be an equal opportunity workplace and affirmative action employer We re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work We hire the best talent for our teams regardless of race religion color age disability sex gender identity sexual orientation ancestry genetic information marital status national origin political affiliation or veteran status Our focus is on hiring teammates with humble expertise kindness dedication and a willingness to embrace challenges and learn together every day d-Matrix does not accept resumes or candidate submissions from external agencies We appreciate the interest and effort of recruitment firms but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants Thank you for your understanding and cooperation