KRUSH Labs | R&D center and Laboratory

Senior DSP/Wireless Communications Engineer

Senior

R&D

High Tech Campus Eindhoven

Mon–Fri (onsite 4 days per week, flexible to discuss)

Reporting to Head of R&D

Job summary

As a Senior DSP/Wireless Communications Engineer, you will be at the heart of innovation. You will research, design, model, and validate advanced Physical Layer (PHY) and lower-MAC algorithms that define the performance and capabilities of our novel communication links. This includes exploring and integrating advanced techniques, potentially including machine learning, to solve complex wireless challenges. If you are driven to develop groundbreaking algorithms, simulate their real-world impact, and collaborate to see them realized in hardware, this is your defining moment!

What you’ll be doing

KRUSH Labs

What you’ll be doing

KRUSH Labs

What you’ll be doing

KRUSH Labs

What you’ll be doing

Key responsibilities

Research, design, and develop advanced digital signal processing (DSP) algorithms for the wireless Physical Layer (PHY) and innovative lower-MAC concepts.
Model and simulate the complete PHY and relevant MAC functionalities using tools like MATLAB/Python, focusing on performance analysis, trade-off studies, and validation of new algorithms.
Algorithm design and specification for critical PHY components, including but not limited to advanced OFDM techniques, MIMO systems (including beamforming, spatial multiplexing, interference mitigation), robust channel estimation and equalization, adaptive modulation and coding (AMC), and sophisticated synchronization schemes.
Investigate and apply machine learning (ML) techniques to enhance PHY/MAC performance, such as for channel state information (CSI) prediction, adaptive resource allocation, interference characterization, or anomaly detection.
Define system-level requirements, algorithm specifications, and performance metrics for hand-off to FPGA/hardware implementation teams.
Collaborate closely with FPGA engineers to ensure algorithms are implementable and to provide guidance during the hardware design and verification phases.
Analyse and troubleshoot system-level performance issues, identifying bottlenecks and proposing algorithmic enhancements.
Contribute to the architecture of testbeds and validation strategies for PHY/MAC algorithms.
Maintain detailed documentation of algorithms, system models, simulation results, and performance analyses.
Stay abreast of emerging wireless communication standards, technologies, and research to drive innovation.
Participate in R&D business development and capture efforts as needed, including contributing to technical proposals and white papers.

Research, design, and develop advanced digital signal processing (DSP) algorithms for the wireless Physical Layer (PHY) and innovative lower-MAC concepts.
Model and simulate the complete PHY and relevant MAC functionalities using tools like MATLAB/Python, focusing on performance analysis, trade-off studies, and validation of new algorithms.
Algorithm design and specification for critical PHY components, including but not limited to advanced OFDM techniques, MIMO systems (including beamforming, spatial multiplexing, interference mitigation), robust channel estimation and equalization, adaptive modulation and coding (AMC), and sophisticated synchronization schemes.
Investigate and apply machine learning (ML) techniques to enhance PHY/MAC performance, such as for channel state information (CSI) prediction, adaptive resource allocation, interference characterization, or anomaly detection.
Define system-level requirements, algorithm specifications, and performance metrics for hand-off to FPGA/hardware implementation teams.
Collaborate closely with FPGA engineers to ensure algorithms are implementable and to provide guidance during the hardware design and verification phases.
Analyse and troubleshoot system-level performance issues, identifying bottlenecks and proposing algorithmic enhancements.
Contribute to the architecture of testbeds and validation strategies for PHY/MAC algorithms.
Maintain detailed documentation of algorithms, system models, simulation results, and performance analyses.
Stay abreast of emerging wireless communication standards, technologies, and research to drive innovation.
Participate in R&D business development and capture efforts as needed, including contributing to technical proposals and white papers.

Research, design, and develop advanced digital signal processing (DSP) algorithms for the wireless Physical Layer (PHY) and innovative lower-MAC concepts.
Model and simulate the complete PHY and relevant MAC functionalities using tools like MATLAB/Python, focusing on performance analysis, trade-off studies, and validation of new algorithms.
Algorithm design and specification for critical PHY components, including but not limited to advanced OFDM techniques, MIMO systems (including beamforming, spatial multiplexing, interference mitigation), robust channel estimation and equalization, adaptive modulation and coding (AMC), and sophisticated synchronization schemes.
Investigate and apply machine learning (ML) techniques to enhance PHY/MAC performance, such as for channel state information (CSI) prediction, adaptive resource allocation, interference characterization, or anomaly detection.
Define system-level requirements, algorithm specifications, and performance metrics for hand-off to FPGA/hardware implementation teams.
Collaborate closely with FPGA engineers to ensure algorithms are implementable and to provide guidance during the hardware design and verification phases.
Analyse and troubleshoot system-level performance issues, identifying bottlenecks and proposing algorithmic enhancements.
Contribute to the architecture of testbeds and validation strategies for PHY/MAC algorithms.
Maintain detailed documentation of algorithms, system models, simulation results, and performance analyses.
Stay abreast of emerging wireless communication standards, technologies, and research to drive innovation.
Participate in R&D business development and capture efforts as needed, including contributing to technical proposals and white papers.

Research, design, and develop advanced digital signal processing (DSP) algorithms for the wireless Physical Layer (PHY) and innovative lower-MAC concepts.
Model and simulate the complete PHY and relevant MAC functionalities using tools like MATLAB/Python, focusing on performance analysis, trade-off studies, and validation of new algorithms.
Algorithm design and specification for critical PHY components, including but not limited to advanced OFDM techniques, MIMO systems (including beamforming, spatial multiplexing, interference mitigation), robust channel estimation and equalization, adaptive modulation and coding (AMC), and sophisticated synchronization schemes.
Investigate and apply machine learning (ML) techniques to enhance PHY/MAC performance, such as for channel state information (CSI) prediction, adaptive resource allocation, interference characterization, or anomaly detection.
Define system-level requirements, algorithm specifications, and performance metrics for hand-off to FPGA/hardware implementation teams.
Collaborate closely with FPGA engineers to ensure algorithms are implementable and to provide guidance during the hardware design and verification phases.
Analyse and troubleshoot system-level performance issues, identifying bottlenecks and proposing algorithmic enhancements.
Contribute to the architecture of testbeds and validation strategies for PHY/MAC algorithms.
Maintain detailed documentation of algorithms, system models, simulation results, and performance analyses.
Stay abreast of emerging wireless communication standards, technologies, and research to drive innovation.
Participate in R&D business development and capture efforts as needed, including contributing to technical proposals and white papers.

What you should know

KRUSH Labs

What you should know

KRUSH Labs

What you should know

KRUSH Labs

What you should know

Tech qualifications

M.S. or Ph.D. in Electrical Engineering, Computer Engineering, or Telecommunications with a strong specialization in wireless communications, signal processing, or information theory.
Deep theoretical understanding and extensive practical experience in designing and simulating wireless communication physical layer algorithms.
Expertise in OFDM, MIMO (spatial multiplexing, STBC, beamforming), advanced channel estimation and equalization, robust synchronization, channel coding (LDPC, Turbo, Polar, Viterbi), and adaptive signal processing (filtering, AMC).
Proficiency in MATLAB and/or Python.
Demonstrable experience in applying or researching Machine Learning techniques for wireless communication problems is highly desirable.
Strong understanding of radio propagation, channel models, RF impairments, and their impact on algorithm design.
Familiarity with lower-MAC layer protocols and cross-layer optimization concepts.
Experience with communication system performance analysis and defining key performance indicators (KPIs).
Knowledge of FPGA/ASIC design flows and hardware implementation considerations is beneficial for effective collaboration with implementation teams.
Experience with Software Defined Radio (SDR) platforms (e.g., USRP) and GNU Radio for algorithm prototyping and experimental validation is a plus.

M.S. or Ph.D. in Electrical Engineering, Computer Engineering, or Telecommunications with a strong specialization in wireless communications, signal processing, or information theory.
Deep theoretical understanding and extensive practical experience in designing and simulating wireless communication physical layer algorithms.
Expertise in OFDM, MIMO (spatial multiplexing, STBC, beamforming), advanced channel estimation and equalization, robust synchronization, channel coding (LDPC, Turbo, Polar, Viterbi), and adaptive signal processing (filtering, AMC).
Proficiency in MATLAB and/or Python.
Demonstrable experience in applying or researching Machine Learning techniques for wireless communication problems is highly desirable.
Strong understanding of radio propagation, channel models, RF impairments, and their impact on algorithm design.
Familiarity with lower-MAC layer protocols and cross-layer optimization concepts.
Experience with communication system performance analysis and defining key performance indicators (KPIs).
Knowledge of FPGA/ASIC design flows and hardware implementation considerations is beneficial for effective collaboration with implementation teams.
Experience with Software Defined Radio (SDR) platforms (e.g., USRP) and GNU Radio for algorithm prototyping and experimental validation is a plus.

M.S. or Ph.D. in Electrical Engineering, Computer Engineering, or Telecommunications with a strong specialization in wireless communications, signal processing, or information theory.
Deep theoretical understanding and extensive practical experience in designing and simulating wireless communication physical layer algorithms.
Expertise in OFDM, MIMO (spatial multiplexing, STBC, beamforming), advanced channel estimation and equalization, robust synchronization, channel coding (LDPC, Turbo, Polar, Viterbi), and adaptive signal processing (filtering, AMC).
Proficiency in MATLAB and/or Python.
Demonstrable experience in applying or researching Machine Learning techniques for wireless communication problems is highly desirable.
Strong understanding of radio propagation, channel models, RF impairments, and their impact on algorithm design.
Familiarity with lower-MAC layer protocols and cross-layer optimization concepts.
Experience with communication system performance analysis and defining key performance indicators (KPIs).
Knowledge of FPGA/ASIC design flows and hardware implementation considerations is beneficial for effective collaboration with implementation teams.
Experience with Software Defined Radio (SDR) platforms (e.g., USRP) and GNU Radio for algorithm prototyping and experimental validation is a plus.

M.S. or Ph.D. in Electrical Engineering, Computer Engineering, or Telecommunications with a strong specialization in wireless communications, signal processing, or information theory.
Deep theoretical understanding and extensive practical experience in designing and simulating wireless communication physical layer algorithms.
Expertise in OFDM, MIMO (spatial multiplexing, STBC, beamforming), advanced channel estimation and equalization, robust synchronization, channel coding (LDPC, Turbo, Polar, Viterbi), and adaptive signal processing (filtering, AMC).
Proficiency in MATLAB and/or Python.
Demonstrable experience in applying or researching Machine Learning techniques for wireless communication problems is highly desirable.
Strong understanding of radio propagation, channel models, RF impairments, and their impact on algorithm design.
Familiarity with lower-MAC layer protocols and cross-layer optimization concepts.
Experience with communication system performance analysis and defining key performance indicators (KPIs).
Knowledge of FPGA/ASIC design flows and hardware implementation considerations is beneficial for effective collaboration with implementation teams.
Experience with Software Defined Radio (SDR) platforms (e.g., USRP) and GNU Radio for algorithm prototyping and experimental validation is a plus.

What helps you thrive here

KRUSH Labs

What helps you thrive here

KRUSH Labs

What helps you thrive here

KRUSH Labs

What helps you thrive here

Skills & abilities

A genuine passion for research, innovation, and pushing the boundaries of wireless technology, with a winning attitude.
Strong analytical and problem-solving skills, with the ability to tackle complex and abstract technical challenges.
Comfortable navigating complex, fast-paced R&D environments with evolving technological landscapes.
Ability to evaluate high-level system requirements and translate them into robust and innovative algorithmic solutions.
Excellent communication skills, capable of clearly articulating complex technical concepts to diverse stakeholders (technical and non-technical).
Ability to create and maintain high-quality, detailed documentation for algorithms, models, and simulation results.
Proven ability to work autonomously on research and design tasks, as well as collaboratively within a multi-disciplinary team using tools like Jira, Confluence, and Git.

A genuine passion for research, innovation, and pushing the boundaries of wireless technology, with a winning attitude.
Strong analytical and problem-solving skills, with the ability to tackle complex and abstract technical challenges.
Comfortable navigating complex, fast-paced R&D environments with evolving technological landscapes.
Ability to evaluate high-level system requirements and translate them into robust and innovative algorithmic solutions.
Excellent communication skills, capable of clearly articulating complex technical concepts to diverse stakeholders (technical and non-technical).
Ability to create and maintain high-quality, detailed documentation for algorithms, models, and simulation results.
Proven ability to work autonomously on research and design tasks, as well as collaboratively within a multi-disciplinary team using tools like Jira, Confluence, and Git.

A genuine passion for research, innovation, and pushing the boundaries of wireless technology, with a winning attitude.
Strong analytical and problem-solving skills, with the ability to tackle complex and abstract technical challenges.
Comfortable navigating complex, fast-paced R&D environments with evolving technological landscapes.
Ability to evaluate high-level system requirements and translate them into robust and innovative algorithmic solutions.
Excellent communication skills, capable of clearly articulating complex technical concepts to diverse stakeholders (technical and non-technical).
Ability to create and maintain high-quality, detailed documentation for algorithms, models, and simulation results.
Proven ability to work autonomously on research and design tasks, as well as collaboratively within a multi-disciplinary team using tools like Jira, Confluence, and Git.

A genuine passion for research, innovation, and pushing the boundaries of wireless technology, with a winning attitude.
Strong analytical and problem-solving skills, with the ability to tackle complex and abstract technical challenges.
Comfortable navigating complex, fast-paced R&D environments with evolving technological landscapes.
Ability to evaluate high-level system requirements and translate them into robust and innovative algorithmic solutions.
Excellent communication skills, capable of clearly articulating complex technical concepts to diverse stakeholders (technical and non-technical).
Ability to create and maintain high-quality, detailed documentation for algorithms, models, and simulation results.
Proven ability to work autonomously on research and design tasks, as well as collaboratively within a multi-disciplinary team using tools like Jira, Confluence, and Git.

Why joining us?

Krush Labs

Why joining us?

Krush Labs

Why joining us?

Krush Labs

Why joining us?

This is a chance to join the team at the ground floor of something big! Here’s why we think you’ll love it:

No bureaucracy – we move fast to make an impact

True ownership – you shape the team & culture from day one

Freedom to innovate – your ideas, your way

Work with brilliant minds – collaborate with international PhD scientists & researchers

No bureaucracy – we move fast to make an impact

True ownership – you shape the team & culture from day one

Freedom to innovate – your ideas, your way

Work with brilliant minds – collaborate with international PhD scientists & researchers

No bureaucracy – we move fast to make an impact

True ownership – you shape the team & culture from day one

Freedom to innovate – your ideas, your way

Work with brilliant minds – collaborate with international PhD scientists & researchers

No bureaucracy – we move fast to make an impact

True ownership – you shape the team & culture from day one

Freedom to innovate – your ideas, your way

Work with brilliant minds – collaborate with international PhD scientists & researchers

Let’s build the future together

KRUSH Labs

Let’s build the future together

KRUSH Labs

Let’s build the future together

KRUSH Labs

Let’s build the future together

Apply form

Join the team — tell us about your background and motivation.

Senior DSP/Wireless Communications Engineer

Senior DSP/Wireless Communications Engineer

Senior DSP/Wireless Communications Engineer

Senior DSP/Wireless Communications Engineer

Job summary

Job summary

Job summary

Job summary

Key responsibilities

Key responsibilities

Key responsibilities

Key responsibilities

Research, design, and develop advanced digital signal processing (DSP) algorithms for the wireless Physical Layer (PHY) and innovative lower-MAC concepts.

Model and simulate the complete PHY and relevant MAC functionalities using tools like MATLAB/Python, focusing on performance analysis, trade-off studies, and validation of new algorithms.

Investigate and apply machine learning (ML) techniques to enhance PHY/MAC performance, such as for channel state information (CSI) prediction, adaptive resource allocation, interference characterization, or anomaly detection.

Define system-level requirements, algorithm specifications, and performance metrics for hand-off to FPGA/hardware implementation teams.

Collaborate closely with FPGA engineers to ensure algorithms are implementable and to provide guidance during the hardware design and verification phases.

Analyse and troubleshoot system-level performance issues, identifying bottlenecks and proposing algorithmic enhancements.

Contribute to the architecture of testbeds and validation strategies for PHY/MAC algorithms.

Maintain detailed documentation of algorithms, system models, simulation results, and performance analyses.

Stay abreast of emerging wireless communication standards, technologies, and research to drive innovation.

Participate in R&D business development and capture efforts as needed, including contributing to technical proposals and white papers.

Research, design, and develop advanced digital signal processing (DSP) algorithms for the wireless Physical Layer (PHY) and innovative lower-MAC concepts.

Model and simulate the complete PHY and relevant MAC functionalities using tools like MATLAB/Python, focusing on performance analysis, trade-off studies, and validation of new algorithms.

Investigate and apply machine learning (ML) techniques to enhance PHY/MAC performance, such as for channel state information (CSI) prediction, adaptive resource allocation, interference characterization, or anomaly detection.

Define system-level requirements, algorithm specifications, and performance metrics for hand-off to FPGA/hardware implementation teams.

Collaborate closely with FPGA engineers to ensure algorithms are implementable and to provide guidance during the hardware design and verification phases.

Analyse and troubleshoot system-level performance issues, identifying bottlenecks and proposing algorithmic enhancements.

Contribute to the architecture of testbeds and validation strategies for PHY/MAC algorithms.

Maintain detailed documentation of algorithms, system models, simulation results, and performance analyses.

Stay abreast of emerging wireless communication standards, technologies, and research to drive innovation.

Participate in R&D business development and capture efforts as needed, including contributing to technical proposals and white papers.

Research, design, and develop advanced digital signal processing (DSP) algorithms for the wireless Physical Layer (PHY) and innovative lower-MAC concepts.

Model and simulate the complete PHY and relevant MAC functionalities using tools like MATLAB/Python, focusing on performance analysis, trade-off studies, and validation of new algorithms.

Investigate and apply machine learning (ML) techniques to enhance PHY/MAC performance, such as for channel state information (CSI) prediction, adaptive resource allocation, interference characterization, or anomaly detection.

Define system-level requirements, algorithm specifications, and performance metrics for hand-off to FPGA/hardware implementation teams.

Collaborate closely with FPGA engineers to ensure algorithms are implementable and to provide guidance during the hardware design and verification phases.

Analyse and troubleshoot system-level performance issues, identifying bottlenecks and proposing algorithmic enhancements.

Contribute to the architecture of testbeds and validation strategies for PHY/MAC algorithms.

Maintain detailed documentation of algorithms, system models, simulation results, and performance analyses.

Stay abreast of emerging wireless communication standards, technologies, and research to drive innovation.

Participate in R&D business development and capture efforts as needed, including contributing to technical proposals and white papers.

Research, design, and develop advanced digital signal processing (DSP) algorithms for the wireless Physical Layer (PHY) and innovative lower-MAC concepts.

Model and simulate the complete PHY and relevant MAC functionalities using tools like MATLAB/Python, focusing on performance analysis, trade-off studies, and validation of new algorithms.

Investigate and apply machine learning (ML) techniques to enhance PHY/MAC performance, such as for channel state information (CSI) prediction, adaptive resource allocation, interference characterization, or anomaly detection.

Define system-level requirements, algorithm specifications, and performance metrics for hand-off to FPGA/hardware implementation teams.

Collaborate closely with FPGA engineers to ensure algorithms are implementable and to provide guidance during the hardware design and verification phases.

Analyse and troubleshoot system-level performance issues, identifying bottlenecks and proposing algorithmic enhancements.

Contribute to the architecture of testbeds and validation strategies for PHY/MAC algorithms.

Maintain detailed documentation of algorithms, system models, simulation results, and performance analyses.

Stay abreast of emerging wireless communication standards, technologies, and research to drive innovation.

Participate in R&D business development and capture efforts as needed, including contributing to technical proposals and white papers.

Tech qualifications

Tech qualifications

Tech qualifications

Tech qualifications

M.S. or Ph.D. in Electrical Engineering, Computer Engineering, or Telecommunications with a strong specialization in wireless communications, signal processing, or information theory.

Deep theoretical understanding and extensive practical experience in designing and simulating wireless communication physical layer algorithms.

Expertise in OFDM, MIMO (spatial multiplexing, STBC, beamforming), advanced channel estimation and equalization, robust synchronization, channel coding (LDPC, Turbo, Polar, Viterbi), and adaptive signal processing (filtering, AMC).

Proficiency in MATLAB and/or Python.

Demonstrable experience in applying or researching Machine Learning techniques for wireless communication problems is highly desirable.

Strong understanding of radio propagation, channel models, RF impairments, and their impact on algorithm design.

Familiarity with lower-MAC layer protocols and cross-layer optimization concepts.

Experience with communication system performance analysis and defining key performance indicators (KPIs).

Knowledge of FPGA/ASIC design flows and hardware implementation considerations is beneficial for effective collaboration with implementation teams.

Experience with Software Defined Radio (SDR) platforms (e.g., USRP) and GNU Radio for algorithm prototyping and experimental validation is a plus.

M.S. or Ph.D. in Electrical Engineering, Computer Engineering, or Telecommunications with a strong specialization in wireless communications, signal processing, or information theory.

Deep theoretical understanding and extensive practical experience in designing and simulating wireless communication physical layer algorithms.

Expertise in OFDM, MIMO (spatial multiplexing, STBC, beamforming), advanced channel estimation and equalization, robust synchronization, channel coding (LDPC, Turbo, Polar, Viterbi), and adaptive signal processing (filtering, AMC).

Proficiency in MATLAB and/or Python.

Demonstrable experience in applying or researching Machine Learning techniques for wireless communication problems is highly desirable.

Strong understanding of radio propagation, channel models, RF impairments, and their impact on algorithm design.

Familiarity with lower-MAC layer protocols and cross-layer optimization concepts.

Experience with communication system performance analysis and defining key performance indicators (KPIs).

Knowledge of FPGA/ASIC design flows and hardware implementation considerations is beneficial for effective collaboration with implementation teams.

Experience with Software Defined Radio (SDR) platforms (e.g., USRP) and GNU Radio for algorithm prototyping and experimental validation is a plus.

M.S. or Ph.D. in Electrical Engineering, Computer Engineering, or Telecommunications with a strong specialization in wireless communications, signal processing, or information theory.

Deep theoretical understanding and extensive practical experience in designing and simulating wireless communication physical layer algorithms.

Expertise in OFDM, MIMO (spatial multiplexing, STBC, beamforming), advanced channel estimation and equalization, robust synchronization, channel coding (LDPC, Turbo, Polar, Viterbi), and adaptive signal processing (filtering, AMC).

Proficiency in MATLAB and/or Python.