Job Description

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 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.

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.