Principal Software Engineer in Test (SDET)

MixMode; Santa Clara (CA); On-site; USD 180,000 - 300,000; Full time

Benefits offered by this job

Equity

Bonus

Job summary

MixMode is seeking a Principal Software ML Test Engineer to lead testing for the d-Matrix AI compute engine in Santa Clara, California. This role involves overseeing test planning, automation, and execution, while collaborating closely with software development teams. The ideal candidate should possess a Master's or PhD in a relevant field, have over 10 years of experience, and be proficient in Python programming and testing with machine learning frameworks. The position offers a competitive salary range of $180K – $300K and supports equity and bonuses.

Qualifications

• 10+ years of industry experience.
• Strong grasp of large language models.
• Proficient in Linux environments.

Responsibilities

• Lead junior team members in test planning and execution.
• Develop and automate test cases for AI compute engine.
• Collaborate with software development teams on testing.

Skills

Leadership in test planning

Python programming

Machine learning fundamentals

Deep Learning and Tensorflow

Testing with PyTorch

Education

MS or PhD in Computer Science or related degree

Tools

Jenkins

GitLab

Job description

Location

Santa Clara

Employment Type

Full time

Location Type

Hybrid

Department

R&D - SW Quality Assurance

Compensation

• $180K – $300K • Offers Equity • Offers Bonus

Principal Software ML Test Engineer

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 the 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 development 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 the Pytest framework. You will implement and improve the d-Matrix end-to-end test suite along with the regression test suite in CI/CD infrastructure using the 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 and the software bug triaging and debugging. You are fluent in advanced Python programming with the ability to write data structures and algorithms and apply them to testing.

What you will bring:

• MS or PhD preferred in Computer Science, Electrical Engineering, or related degree with 10+ Years of Industry Experience
• Strong grasp of large language models and machine learning fundamentals
• Experience with Deep Learning, Tensorflow, Transformers, and PyTorch testing
• Proficient in Python development, Python Data Structures, and Linux environments
• Self-motivated team player with a strong sense of ownership and leadership

Desired:

• Prior startup, small team experience
• Experience with Machine Learning models and their layers
• Experience testing and automating at-scale ML kernels, MLIR, LLVM, Matmuls, and Numpy workloads
• Fluency with 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.