Senior Systems Engineer (AI and DSP) (Cork)

Qualcomm; Cork; On-site; EUR 60,000 - 80,000; Full time

Benefits offered by this job

Salary and stock options

Maternity/Paternity Leave

Employee stock purchase scheme

Education assistance

Life and medical insurance

Job summary

Qualcomm seeks a candidate in Cork, Ireland to develop sensor algorithms and collaborate with global systems teams. The role involves embedded software development and leading projects from conception to implementation within a fast-paced environment.

The successful candidate will leverage their degree in Electrical Engineering along with their analytical skills and experience in machine learning concepts to contribute to innovation in sensor technologies.

Qualifications

• Bachelor’s degree with 4 years of experience or Master’s degree with 3 years of experience.
• Strong analytical skills and ability to work in dynamic teams.
• Experience in algorithm evaluation and embedded software development.

Responsibilities

• Collaborate with systems and software teams across the globe.
• Lead systems projects from requirements to implementation.
• Develop sensor algorithms and validate performance.

Skills

Algorithm development in MATLAB

Embedded programming in C/C++

Machine learning concepts

Digital signal processing

Analytical skills

Education

Bachelor’s degree in Electrical Engineering or related field

Master’s degree in Electrical Engineering or related field

Job description

General Summary

Sensors-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 and other consumer electronics devices. Job activities span the entire 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.

Job Responsibilities

• Collaborate with global systems and software teams.
• Develop sensor algorithms in high‑level languages (MATLAB, Python) and validate algorithm performance.
• Make effective engineering trade‑offs between performance, memory, power consumption, and computational complexity.
• Perform embedded software development in C/C++ for fixed‑ and floating‑point–based designs.
• Create reports on algorithm evaluation results and deliver complete design and user documentation.
• Communicate design, results and issues to product management, systems and SW leads.
• Lead systems projects end‑to‑end from requirements gathering to systems design and SW implementation.
• Mentor and guide junior engineers.

Minimum Qualifications

• Bachelor’s degree in Electrical Engineering, Computer Engineering/Science with 4 years of experience.
• Master’s degree in Electrical Engineering, Computer Engineering/Science, or related field with 3 years of experience.

Preferred Qualifications

• Experience with basic machine learning concepts such as supervised and unsupervised learning, feature extraction, classification, logistic regression, Bayesian inference and neural networks.
• Understanding of basic and advanced concepts of digital signal processing (filter design, LTI systems, etc.).
• Some experience optimizing DSP operations for edge AI, floating‑to‑fixed point implementation and optimizing bitwidths for embedding features on low‑power devices.
• Knowledge of linear algebra, probability and statistics.
• Embedded programming skills with C/C++.
• Strong analytical skills and the ability to work in a dynamic, fast‑paced team environment.
• Knowledge of MEMS and inertial sensors.
• Excellent written and verbal communication skills.

Benefits

• 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 and many more.

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.