Algorithm & Signal Processing Engineer

Ommo Technologies, inc.; Colombia; Presencial; COP 120.000.000 - 180.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

401(k) with Company Match

Equity Participation

Paid Time Off & Holidays

Professional Development

Descripción de la vacante

Ommo Technologies, inc. seeks an Algorithm & Signal Processing Engineer to advance the core intelligence of its magnetic tracking platform.

You will transform raw sensor data into precise positioning through sensor fusion, signal processing, and optimization, collaborating with firmware, software, and hardware teams. The role calls for strong skills in C/C++, Python, real-time data processing, and machine learning, with a drive to push performance under millisecond-scale constraints and explore

Formación

• Proficient in C, C++, and Python for data processing, modeling, and simulations.
• Experience in signal processing algorithm design of real-time time series data.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Experience in designing and implementing real-time optimization algorithms, including linear and nonlinear solvers.
• Experience in working with coordinate and pose transformations.
• Strong foundation in linear algebra, physics and electromagnetics.
• In-depth knowledge of deterministic, statistical signal processing and optimization techniques.

Responsabilidades

• Design and prototype algorithms for processing and fusing raw sensor data to increase tracking performance and resilience
• Define and enhance key performance metrics for processed data and positioning tracking such as precision, accuracy, range, noise level, and output data rate
• Design and automate experiments to verify the performance of algorithm and hardware combinations
• Perform statistical and geometric analysis on raw sensor data to determine ideal software and hardware configurations
• Develop and model non-ideal behaviors of physical systems for precision measurements
• Explore and develop new technologies as part of the core R&D team

Conocimientos

C/C++

Python

Signal processing

Machine learning

Coordinate transformations

Linear algebra

Optimization

Real-time processing

Herramientas

TensorFlow

PyTorch

Descripción del empleo

Ommo is the pioneer of permanent magnet–based 3D tracking technology, building a next-generation tracking platform based on magnetic sensing. Our technology enables ultra-precise, real-time 6DOF tracking for millimeter-scale wireless sensors, up to 1,000 times per second with accuracy down to 0.1mm, without line-of-sight constraints. We partner with medical device OEMs and advanced technology companies developing surgical navigation, robotics, simulation, spatial intelligence, and human-machine interface systems.

We are seeking an experienced and driven Algorithm & Signal Processing Engineer to help advance the core intelligence behind Ommo's tracking platform. This role is ideal for someone who enjoys solving complex mathematical and physical problems, transforming raw sensor data into precise, reliable positioning information, and pushing the limits of real-time tracking performance. You\'ll develop algorithms for sensor fusion, signal processing, optimization, and system modeling while collaborating closely with firmware, software, and hardware engineers to bring next-generation tracking capabilities to life. If you\'re passionate about turning data into insight, exploring new technologies, and tackling challenging R&D problems at the intersection of physics, mathematics, and engineering, we\'d love to hear from you.

Responsibilities

• Design and prototype algorithms for processing and fusing raw sensor data to increase tracking performance and resilience
• Define and enhance key performance metrics for processed data and positioning tracking such as precision, accuracy, range, noise level, and output data rate
• Design and automate experiments to verify the performance of algorithm and hardware combinations
• Perform statistical and geometric analysis on raw sensor data to determine ideal software and hardware configurations
• Develop and model non-ideal behaviors of physical systems for precision measurements
• Explore and develop new technologies as part of the core R&D team

Qualifications

• Proficient in C, C++, and Python for data processing, modeling, and simulations
• Experience in signal processing algorithm design of real-time time series data
• Experience with machine learning frameworks such as TensorFlow or PyTorch
• Experience in designing and implementing real-time optimization algorithms, including linear and nonlinear solvers
• Experience in working with coordinate and pose transformations
• Strong foundation in linear algebra, physics and electromagnetics
• In-depth knowledge of deterministic, statistical signal processing and optimization techniques

Nice to Haves

• Experience modeling real-sensor systems in adverse conditions
• Experience with machine learning techniques for data analysis and algorithm development
• Experience in microsecond to millisecond scale real-time algorithm developments
• Expertise in 3D tracking systems such as optical and EM based systems

• 401(k) with Company Match
• Equity Participation
• Paid Time Off & Holidays
• Professional Development