Digital Signal Processing Engineer (R&D)

ARQUIMEA is a technology company operating on a global scale providing innovative solutions and products in highly demanding sectors.

Our areas of activity include Aerospace Defense and Security Big Science Biotechnology and Fintech.

Estimation Tracking and Real-Time Systems

We are looking for a highly skilled Digital Signal Processing Engineer to join our R&D team and contribute to the design implementation and validation of advanced algorithms for high-performance sensing and real-time systems.

This position is intended for engineers with a strong background in digital signal processing estimation theory and algorithm development capable of contributing across multiple technological domains and projects. Particular value will be placed on candidates with experience in multi-sensor data fusion Bayesian estimation and tracking and the deployment of algorithms on embedded real-time platforms. Experience in inertial navigation systems (INS) attitude and heading reference systems (AHRS) or high-precision pointing systems will be considered a strong plus.

Key responsibilities

• Design develop and validate advanced signal processing estimation tracking and sensor fusion algorithms for real-time applications.

• Contribute to the development of DSP functions such as filtering spectral analysis estimation modulation/demodulation non-linearity compensation and noise reduction depending on project requirements.

• Develop Bayesian filtering recursive estimation and multi-sensor data fusion algorithms for demanding sensing and control applications.

• Formulate and analyse dynamic and measurement models including uncertainty propagation and performance-limiting error sources.

• Build and maintain numerical models and simulation environments in MATLAB/Simulink Python and C/C to support algorithm design trade-off analysis and performance validation.

• Define and use quantitative performance metrics to assess algorithm accuracy robustness stability consistency and computational efficiency.

• Characterize algorithm performance through simulation prototyping laboratory testing and field validation under representative operational conditions.

• Collaborate closely with embedded software FPGA and system engineering teams to integrate algorithms into real-time target platforms.

• Support the transition from concept and feasibility studies to implementation verification and prototype deployment.

• Work in a multidisciplinary R&D environment coordinating technical activities with product and project teams to ensure objectives milestones and deliverables are met.

• Required technical expertise

• Strong theoretical and practical background in digital signal processing statistical estimation and Bayesian inference.

• Proven experience in the design and development of signal processing and estimation algorithms for real-time systems.

• Hands-on experience with Kalman-filter-based estimation frameworks including linear and nonlinear formulations such as EKF UKF or related approaches.

• Experience in state-space modelling stochastic processes uncertainty propagation and estimator performance evaluation.

• Solid understanding of noise characterization spectral analysis stochastic error modelling and time/frequency-domain analysis.

• Strong capability to translate algorithms from high-level modelling environments into embedded real-time implementations considering latency memory throughput numerical precision and computational constraints.

• Experience in verification and validation of algorithms using simulation-based methods real datasets and experimental campaigns.

• Strong programming and modelling skills in MATLAB/Simulink Python and C/C.

• Working knowledge of digital implementation constraints sensor interfaces timing/synchronization and collaboration with FPGA/SoC-based platforms.

Required qualifications and experience

• Bachelors degree in electrical engineering Electronics Engineering Telecommunications Engineering Computer Engineering or a related discipline.

• Masters degree in a relevant field is required.

• PhD in signal processing estimation control navigation or a related area is highly valued.

• 5 years of hands-on experience in R&D roles involving signal processing estimation tracking sensor fusion or real-time algorithm development.

• Proven experience in the development of advanced algorithms for embedded or real-time systems.

• Experience working in multidisciplinary engineering environments involving software hardware and system-level integration.

Additional valued experience

• Experience in multi-sensor data fusion for navigation orientation tracking or related applications.

• Experience with INS AHRS or other navigation/orientation systems.

• Familiarity with IMU and inertial sensor error modelling calibration alignment and performance Characterization.

• Experience in high-precision pointing stabilization or orientation control systems.

• Experience with GNSS/INS integration or other aided-estimation architectures.

• Familiarity with Monte Carlo analysis requirement-driven verification and hardware-in-the-loop or software-in-the-loop validation approaches.

• Knowledge of fixed-point implementation issues real-time optimization and performance tuning for embedded targets.

Soft skills

• Strong analytical and problem-solving skills.

• Ability to work effectively in collaborative cross-functional and multidisciplinary teams.

• Strong technical communication reporting and documentation skills.

• Structured proactive and results-oriented approach to engineering work.

• Fluency in English and Spanish.

• Eligible to work in the EU.

Think Big Do the Job & Enjoy Life

At ARQUIMEA we value diversity and inclusion. We do not discriminate on the basis of race color religion gender sexual orientation gender identity nationality age disability or any other legally protected characteristics. All candidates will be considered on equal terms based on their skills and experience.