ashby
Sr. Staff, Software Machine Learning Test Engineer
D Matrix
Bengaluru, IND
Full-time
Senior · 7+ years experience
Hybrid
Discovered 1 weeks ago
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Free
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Full Job Posting
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 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.
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