What Jobs are available for Data Science in Cork?

We are looking to hire ambitious entrepreneurs to start and scale their own startups.

We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €B) who are eager to support outlier personalities and serial entrepreneurs to build + companies.

Our offer:

• A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to
  0k
  in funding.

• 1:1 sparring with unicorn founders
  on a weekly basis

• Community
  : Access to the top 0.1% of founders, peers and investors

• Team building
  : Hiring top notch talent supported through our network (over 50,000 professionals)

• Distribution
  : Support in reaching product-market-fit and building up a sales force / marketing machine

• Funding support
  for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > after our Grand Pitch)

One of our fellows set a record for Europe's largest pre-seed round by a first-time founder, securing a M pre-seed investment.

Tasks

• You will own, build, and run your startup in fields such as Data Science

• You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management

• You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs

• You will receive intensive coaching to make your startup ready to raise millions in funding

• You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively

Requirements

• You are based in Europe or the Americas or open to relocate

• You are willing to take full responsibility for your own startup and scale it to 0M+ in revenues

• You have excellent communication skills in the English language

Join us and build a + company with us

We are looking to hire ambitious entrepreneurs to start and scale their own startups.

We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €B) who are eager to support outlier personalities and serial entrepreneurs to build + companies.

Our offer:

• A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to 0k in funding.
• 1:1 sparring with unicorn founders on a weekly basis
• Community: Access to the top 0.1% of founders, peers and investors
• Team building: Hiring top notch talent supported through our network (over 50,000 professionals)
• Distribution: Support in reaching product-market-fit and building up a sales force / marketing machine
• Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > after our Grand Pitch)

One of our fellows set a record for Europe's largest pre-seed round by a first-time founder, securing a M pre-seed investment.

• You will own, build, and run your startup in fields such as Data Science
• You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management
• You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs
• You will receive intensive coaching to make your startup ready to raise millions in funding
• You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively

• You are based in Europe or the Americas or open to relocate
• You are willing to take full responsibility for your own startup and scale it to 0M+ in revenues
• You have excellent communication skills in the English language

Join us and build a + company with us

Machine Learning Engineer – PyTorch / C++ / NPU Architecture

We are partnered with a global semiconductor leader seeking a Machine Learning Engineer to join their NPU Architecture Team. This is a chance to shape the future of energy-efficient ML technology used in billions of devices worldwide.

What you'll be doing:

• Develop and enhance ML compilers using PyTorch and C++ for advanced NPU architecture
• Design and implement quantization techniques to improve model efficiency and accuracy
• Optimize ML workloads for high performance and low power consumption
• Collaborate with strategic customers to deliver tailored ML solutions
• Partner with architecture and software teams to integrate new ML technologies
• Research, prototype, and implement compiler and system-level optimizations

What we're looking for:

• Strong background in PyTorch and C++ programming
• Experience in ML compiler development, quantization, and workload analysis
• Familiarity with TensorFlow or ONNX a plus
• Solid understanding of hardware-aware ML solutions and performance optimization
• Excellent problem-solving, collaboration, and communication skills

Preferred:

• Experience deploying ML models on NPUs, GPUs, or TPUs
• Understanding of system-level architecture and low-level programming
• Research or publications in ML-related fields

If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on
-

By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (

Company
QT Technologies Ireland Limited

Job Area
Engineering Group, Engineering Group > ASICS Engineering

General Summary
About Qualcomm:
Qualcomm is a leader in wireless innovation, shaping the future of connected devices. Our cutting-edge technologies power billions of products worldwide, and our low-power Machine Learning (ML) solutions set the standard for efficiency and scalability.

Role Overview:
Join Qualcomm's NPU Architecture team as a Machine Learning Engineer specializing in PyTorch/C++ development. In this role, you will create and optimize critical technologies for our compiler, quantization processes, ML workloads, and performance optimizations. You will also collaborate directly with strategic customers to deliver impactful solutions, shaping the future of energy-efficient ML technology. Your work will empower the world's lowest-power ML solution, deployed in more devices globally than any other.

Key Responsibilities

• Develop and enhance ML compilers using PyTorch and C++ tailored for Qualcomm's Neural Processing Unit (NPU) architecture.
• Design and implement advanced quantization techniques to improve model efficiency and accuracy.
• Optimize ML workloads for deployment across diverse devices, ensuring top-tier performance and energy efficiency.
• Work directly with strategic customers to address specific challenges and deliver tailored ML solutions.
• Collaborate with architecture and software engineering teams to integrate cutting-edge ML technologies into Qualcomm platforms.
• Research, prototype, and implement innovative solutions in ML compiler design and system-level optimizations.
• Evaluate and debug ML performance to identify and resolve bottlenecks in complex workflows.
• Create thorough technical documentation to share knowledge and advancements with the team.

Minimum Qualifications

• Bachelor's degree in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.

OR

Master's degree in Science, Engineering, or related field and 1+ year of ASIC design, verification, validation, integration, or related work experience.

OR

PhD in Science, Engineering, or related field.

Qualifications

• Bachelor's or advanced degree in Computer Science, Electrical Engineering, Machine Learning, or a related discipline.
• Strong expertise in PyTorch and C++ programming.
• Experience with ML workload analysis, compiler development, and quantization techniques.
• Familiarity with deep learning frameworks such as TensorFlow or ONNX is a plus.
• Proven track record of solving complex performance and efficiency challenges in hardware-aware ML solutions.
• Ability to work collaboratively with strategic customers and deliver impactful results.
• Excellent analytical skills and ability to thrive in a high-performance team environment.

Preferred Qualifications

• Experience with ML model deployment on hardware accelerators such as GPUs, TPUs, or NPUs.
• Understanding of system-level architecture and low-level programming.
• Contributions to ML research or publications in relevant fields are an advantage.

Why Join Qualcomm?
At Qualcomm, you'll be part of an innovative team that drives impactful advancements in ML technology. As a member of the NPU Architecture team, you'll work directly with strategic customers to create customized solutions while shaping the future of energy-efficient ML. Your contributions will support technology that powers more devices worldwide than any other ML solution.

• 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 is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability- or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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.

To all Staffing and Recruiting Agencies
: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers.

About Analog Devices
Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at and on LinkedIn and Twitter (X).

Job Title: Senior Software Engineer, Edge Machine Learning
Analog Devices, Inc. is looking for a
Senior Software Engineer, Edge Machine Learning
, to join our
Energy Software Team
, part of End Market Software Solutions group. This is an opportunity to join a growing team that implements leading edge algorithms to monitor and ensure resilience of the electrical grid. The successful candidate will be a strong embedded software engineer with excellent communication skills and experience in deploying and tuning machine learning algorithms in embedded platforms. The individual will be a strong team player who works well in a diverse environment.

Job Responsibilities.

• Design and develop software for Grid Monitoring embedded systems which include neural net accelerators.
• Work closely with AI engineers to adapt and tune ML models for the target edge computing platform.
• Combine ML inferences and other signals within the embedded systems to identify and report faults and/or perform appropriate response actions.
• Create all necessary documentation to support the embedded firmware design and communicate the essential concepts inside and outside the development team.
• Participate in code reviews, software standard and guidelines improvement.
• Develop and execute software unit and integration test plans.
• Analyze test results to ensure correct functionality and implement corrective action.
• Interact daily with geographically distributed Silicon Designers, Embedded Software Engineers, Applications Engineers, and other team members to develop software, resolve bugs, identify missing requirements etc.
• Provide customer support during Beta trials and post release.
• Comply with ADI licensing practices, code origin control and documentation.

Skill set required:

• Electronics, Electrical or Computer Science graduate.
• Minimum 5 years' experience in designing and developing embedded software in C/C++ Language.
• Background in machine learning algorithms (CNN, DNN) and experience deploying them on embedded systems.
• Familiarity with model optimization techniques (quantization, pruning, compilation) and deployment pipelines for embedded AI.
• Familiarity with neural network accelerators and strategies for efficient neural network execution on such hardware.
• Strong background in embedded software and computer architecture.
• Excellent problem-solving and troubleshooting skills.
• Proficient in C/C++ programming.
• Experience in designing and developing embedded applications using RTOS such as Zephyr, ThreadX, FreeRTOS etc.
• Experience with Git, Jira and Confluence.
• Strong written and verbal communication skills.

Travel Required
: Yes, 10% of the Time

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.
Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days