AI ML Jr Engineer

Job Requirements

At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.

We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.

We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.

Key Responsibilities

Seeking an AI/ML Validation Engineer responsible for validating new hardware/software designs and features before release. The role involves collaborating with feature teams, development teams, and project managers to execute board-level validation, analyze test results, and support validation of current and next-generation architectures.

Key Skills & Experience:

- Strong hands-on experience with Python , PyTorch , and ONNX frameworks.
- Good understanding of data generation workflows using ONNX and PyTorch models.
- Experience in design validation and board-level testing is preferred.
- Proficiency in Linux environments and modern software development tools.
- Strong analytical, debugging, and problem-solving skills.

Work Experience

Nice-to-Have Skills:

- Knowledge of CUDA , HIP , and ROCm programming environments.

Ideal Candidate: An engineer with a solid AI/ML software background who can work across teams to validate designs, troubleshoot issues, and ensure high-quality product releases while supporting advanced AI architecture validation efforts.