- Prior experience of entrepreneurship or working for a start-up is a plus.
- Experience testing and automating ML/AI models and workload is a plus.
- Prior experience with the System Hardware and Software Testing is a plus.
- Experience with Linux OS and Linux kernel is a plus.
- Experience with Jira, Gitlab, Dockers or other containers, and CI/CD infrastructures
- Excellent cross-geography team-player and communication skills
- Bachelors/Masters/PhD preferred with 5 /3/2 years of Industry experience in testing of software stack for chips.
Software Quality Assurance - Santa Clara, United States - D-Matrix
Description
d-Matrix has fundamentally changed the physics of memory-compute integration with our digital in-memory compute (DIMC) engine. The "holy grail" of AI compute has been to break through the memory wall to minimize data movements. We've achieved this with a first-of-its-kind DIMC engine. Having secured over $154M, $110M in our Series B offering, d-Matrix is poised to advance Large Language Models to scale Generative inference acceleration with our chiplets and In-Memory compute approach. We are on track to deliver our first commercial product in 2024. We are poised to meet the energy and performance demands of these Large Language Models. The company has 100+ employees across Silicon Valley, Sydney and Bengaluru.
Our pedigree comes from companies like Microsoft, Broadcom, Inphi, Intel, Texas Instruments, Lucent, MIPS and Wave Computing. Our past successes include building chips for all the cloud hyperscalers globally - Amazon, Facebook, Google, Microsoft, Alibaba, Tencent along with enterprise and mobile operators like China Mobile, Cisco, Nokia, Ciena, Reliance Jio, Verizon, AT&AT. We are recognized leaders in the mixed signal, DSP connectivity space, now applying our skills to next generation AI.
Location
Hybrid, working onsite at our Santa Clara, CA headquarters 3 days per week.
What you will do
The role requires you to be part of the team, and to lead junior team members with test planning, test automation and test execution to help productize d-Matrix AI compute engine. As part of the Software Qualification team, you will be responsible for the development of the test suites, the test cases, and the test infrastructures. You will work side by side with the Software Devolvement Teams to design, automate, and execute both software and system use cases that are applicable to the features and the functionalities as well as the deployment scenarios for the next Gen AI Chip Software Stack. You will implement Python programs to test workloads and ML Models within Pytest Framework. You will implement and improve d-Matrix end-to-end test suite along with regression test suite in CI/CD infrastructure using pytest framework along with Jenkins and Gitlab. You will collaborate with the product team, the software development team and the systems team on the test coverage and the test results. You will be fully engaged with the test case implementation, the software bug triaging and debugging. You are Fluent in Advanced Python programing with the ability to write data structures and algorithms and apply them into testing.
What you will bring
LI-BP1
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.