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Jobs / Machine Learning Engineer in Ireland
6 months ago
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SP
Software placement·6 months ago
6 months ago

Embedded Software Engineers 3 years + C, C++ Development and Machine Learning

Cork City, IrelandOn-siteMid · 2+ yearsMachine Learning Engineer

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Top 10%Top 10%: 62 out of 100

Top 10% of NextRaise users, across all roles in this function in Ireland.

Must-have skills for this role

  • c
  • dsp
  • embedded systems
  • machine learning

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What you'll do

  • Implement sensor signal processing and machine learning algorithms across various embedded SOCs
  • Debug, verify, optimize, and tune C code for MATLAB/Python signal processing and machine learning algorithms
  • Balance engineering considerations such as performance, memory, power, and complexity
  • Assist other development and testing teams with algorithm deployment
  • Prototype on reference hardware platforms
  • Document implementation flows and SW architecture design

What they're looking for

  • 2 years commercial experience with embedded systems
  • Proficiency in C
  • At least 2 years of embedded software development, with experience in implementing digital signal processing, machine learning algorithms in C/C++
  • Hands-on experience on Machine Learning frameworks such as PyTorch and TensorFlow
  • Experience with fixed point implementation and the use of quantization for Machine Learning models
  • An understanding of the operation of accelerometers, gyroscopes, magnetometers, etc.
  • Familiarity with Python and MATLAB
  • The ability to implement MATLAB-coded algorithms in C
  • Familiarity with RTOS and multi-threaded programming environments

Nice to have

  • At least 3 years of embedded software development, with experience in implementing digital signal processing, DSP, Machine Learning, DSP algorithms
  • Hands-on experience on ML frameworks such as PyTorch and TensorFlow
  • Experience with fixed point implementation and the use of quantization for ML models
  • An understanding of the operation of accelerometers, gyroscopes, magnetometers, etc.
  • Excellent written, verbal, and presentation skills

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

Embedded Software Engineer – 2 years commercial experience with embedded systems with Machine Learning Frameworks such as Pytorch , Tensorflow, DSP / Machine Learning Algorithms, Quantization.

General Summary:

Sensors-AI /Machine Learning based technology has a wide range of applications including navigation, gaming, smart user interface, multimedia, virtual reality, and augmented reality. This challenging position offers the opportunity to work with leading edge sensor technologies embedded in smartphones, automotive, IOT, smartwatches as well as other consumer electronics devices. Job activities span the whole product life cycle from early R&D to commercial deployment. The successful candidate will work with systems, software, and integration/test engineers in the QCT sensors group

Please note this role will require 5 days per week onsite in the Cork office 

Job responsibilities include:

 

An AI / ML software engineer integrates artificial intelligence models (such as LLMs) into software systems, focusing on practical application, integration, and user experience rather than building models from scratch. This evolving role bridges traditional software development with AI, requiring skills in C, 2 + years commercial experience required. Experience with C, DSP, Machine Learning Frameworks is essential.

  • Implement sensor signal processing and machine learning algorithms across various embedded SOCs.
  • Debug, verify, optimize, and tune C code for MATLAB/Python signal processing and machine learning algorithms.
  • Proficiency in C
  • At least 2 years of embedded software development, with experience in implementing digital signal processing, machine learning algorithms in C/C++.
  • Hands-on experience on Machine Learning frameworks such as PyTorch and TensorFlow.
  • Experience with fixed point implementation and the use of quantization for Machine Learning  models.
  • An understanding of the operation of accelerometers, gyroscopes, magnetometers, etc.
  • Familiarity with Python and MATLAB
  • The ability to implement MATLAB-coded algorithms in C
  • Familiarity with RTOS and multi-threaded programming environments.
  • Balance engineering considerations such as performance, memory, power, and complexity.
  • Assist other development and testing teams with algorithm deployment.
  • Prototype on reference hardware platforms.
  • Document implementation flows and SW architecture design.

The position is technology focused and involves participation in a broad range of sensors systems engineering activities within the Sensors Technologies group

Preferred Qualifications

  • At least 3 years of embedded software development, with experience in implementing digital signal processing, DSP, Machine Learning, DSP algorithms .
  • Hands-on experience on ML frameworks such as PyTorch and TensorFlow,
  • Experience with fixed point implementation and the use of quantization for ML models.
  • An understanding of the operation of accelerometers, gyroscopes, magnetometers, etc.
  • Excellent written, verbal, and presentation skills.

Benefits 

Salary is up to around €55k - €65K plus benefits.

 

The client has an extensive benefits package including health, employee assistance, and other benefit programs to enhance employee quality of life, and an exceptional pension scheme and stock options package.

The role is based in Cork. Candidates should be located in Ireland and the client can only consider an EU or UK Citizen or candidates with Stamp 4 Visa

Contact:

For further information please contact Peter at Software Placements on 086 418 7949 , 01 525 4645  or email pgilhooly@softwareplacements.ie . Please send me your CV in Word please.

Company

SP
Software placement
Cork City, Ireland

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Software placement's careers site·first seen 23 Sept 2026·last verified 23 Sept 2026·How we source jobs

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