Machine Learning Verification Engineer (1-4 years experience) - Cork, Ireland

Key Skills

Agile methodologies, Design, Machine learning techniques, Python Programming, PyTorch, TensorFlow

Job Description

You will be responsible for developing a verification software for various aspects of the machine learning software stack such as individual operators and entire graphs. This will involve collaborating with teams across Qualcomm to help develop an appropriate methodology. The team will be expected to work closely with developers and with the infrastructure group to adapt to new and emerging machine learning technologies and to triage issues as they arise.

What are we looking for?

• Bachelor's degree in Computer Science, Engineering or related field
• Software or Verification and testing experience.
• 1+ years of practical machine learning experience
• Experience using various machine learning frameworks such as PyTorch, TensorFlow, etc.
• A deep understanding of machine learning implementation details
• A deep understanding of the mathematics of machine learning operators
• Python experience, or other suitable language(s)

Where you will be working

Cork has a proud reputation as Ireland's second largest economic engine and is now one of the Top 20 location choices in Europe with 39,000 people being employed by over 170 overseas companies.

There's a growing diversity in the region with people from many nationalities relocating to Cork, relishing the opportunity to work and live in a location that offers an excellent quality of life.

A gateway to Europe, Cork airport provides access to almost 50 international destinations including transatlantic air routes.

Equal Opportunities

We are an Equal Opportunity employer; all qualified applicants will receive consideration for employment without regard to race, colour, religion, sexual orientation, gender identity, national origin, disability, veteran status, or any protected classification.

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 Science, Engineering, or related field.

Preferred Qualifications:

• Master's degree in Electrical/Electronic Engineering, Computer Engineering, or Computer Science.
• 6+ months of experience with architecture and design tools.
• 6+ months of experience with scripting tools and programming languages.
• 6+ months of experience with design verification methods.

*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.

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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.