Software QA, Lead - Compiler Testing

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:

Working onsite at our Bengaluru, Karnataka headquarters 3-5 days per week, Hybrid.

Software QA Lead – AI Compiler Testing

Job Description:

We are seeking a highly motivated Software QA Lead to join our AI Compiler team. In this role, you will focus on testing the compiler for AI workloads and ensuring the delivery of high-quality products. Your work will involve writing and maintaining PyTorch workloads, developing unit and feature tests, and driving the resolution of issues. You will collaborate closely with the compiler development team to triage test failures, debug issues, and maintain the integrity of the test infrastructure.

What You will Do:

• Design, implement, and maintain test suites for AI compilers with a focus on PyTorch workloads.

• Develop, automate and execute unit tests, feature tests, and performance tests to validate compiler functionality and performance.

• Work with partners delivering QA solutions.

• Hire, Mentor and train a team on compiler validation.

What You Will Bring:

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• 10+ years of experience in software QA, testing, or a related role.

• Strong experience with AI/ML frameworks, particularly PyTorch.

• Familiarity with compilers, compiler testing, and debugging.

• Proficiency in Python for writing tests and automating workloads.

• Knowledge of CI/CD tools and automated testing frameworks.

• Excellent problem-solving skills and attention to detail.

• Strong communication and collaboration skills for working closely with the development team.

Preferred Qualifications:

• Familiarity with LLVM, MLIR or other AI compiler infrastructure.

• Experience with performance testing and benchmarking.

• Familiarity with other deep learning frameworks such as PyTorch.

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.