Role Overview
You will be part of a team responsible for
bringing a software stack to production for next-generation AI compute platforms
. As a member of the
Software QA team
, you will design and build
automated test frameworks
for AI hardware and software components, and continuously enhance the
test and qualification infrastructure
to support evolving products.
This role involves leveraging
CI/CD pipelines and Python-based test frameworks
to drive both
component-level and end-to-end validation
. You will develop automation to support
large language model accuracy, benchmarking, and robustness testing
, ensuring software and hardware stacks meet high quality and performance standards.
You will collaborate closely with
machine learning kernel teams, compiler and runtime engineers, hardware architects, and ML researchers
across global teams throughout the qualification lifecycle. There will also be opportunities to contribute to
emerging ML and AI technologies




as part of the broader engineering effort.
Qualifications
Bachelor's or Master's degree in
Computer Science, Electrical Engineering, or a related field
, with
7+ years of industry experience
.
Solid understanding of
machine learning fundamentals and large language models
.
Strong proficiency in
Python
, including data structures, and experience working in a
Linux setting
.
Self-driven team player with strong collaboration skills.
Preferred Experience
Experience working in
startups or small, fast-paced teams
.
Hands-on exposure to
machine learning models and neural network layers
.
Experience testing
deep learning frameworks
such as
TensorFlow, PyTorch, and transformer-based models
.
Familiarity with
CI/CD systems
, particularly GitLab-based pipelines.

📌 Software Machine Learning Test Engineer (Bengaluru)
🏢 Phizenix
📍 Bengaluru