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QT Technologies Ireland Limited
Job Area:
Engineering Group, Engineering Group > Systems Engineering
About The Role
This job entails working with subject matter experts in various fields throughout the company to identify areas where Machine Learning can be used to come up with innovative solutions from inception to productization.
What are we looking for?
Ability to obtain knowledge in different fields like Wireless Systems, Thermal Management, Manufacturing, Autonomous Driving, etc
Assess what AI and ML techniques may be the most affective in addressing specific problems.
Successfully conduct AI/ML experiments for solving specific issues while showcasing its performance and viability.
Well versed with various ML/AI techniques from building traditional models to more advanced techniques involving transformers.
Must be a strong programmer with knowledge of software development best practices and how they may apply to AI/ML projects.
Preferred Qualifications:
Master's degree in Computer Science, Engineering, Information Systems, or related field.
2+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
2+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
2+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)
2+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).
2+ years experience working in a large matrixed organization.
1+ year of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
Principal Duties and Responsibilities:
Applies Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
Models, architects, and develops machine learning hardware (co-designed with machine learning software) for inference or training solutions.
Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with team members for joint design and development.
Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
Develops, adapts, or prototypes complex machine learning algorithms, models, or frameworks aligned with and motivated by product proposals or roadmaps with minimal guidance from more experienced engineers.
Conducts complex experiments to train and evaluate machine learning models and/or software independently.
Where you will be working
A gateway to Europe, Cork airport provides access to almost 50 international destinations including transatlantic air routes.
What's on Offer
Apart from working in an open, relaxed and collaborative space, you will enjoy:
Salary, stock and performance related bonus
Maternity/Paternity Leave
Employee stock purchase scheme
Matching pension scheme
Education Assistance
Relocation and immigration support (if needed)
Life, Medical, Income and Travel Insurance
Subsidised memberships for physical and mental well-being
Bicycle purchase scheme
Employee run clubs, including, running, football, chess, badminton + many more
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
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