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Sensor Algorithm Engineer Jobs in Massachusetts (NOW HIRING)

... RF sensor systems compliant with open architecture standards. You will work as part of focused ... Translate algorithm specifications (MATLAB, Python) into optimized C/C++ implementations

Lead Software Engineer

Woburn, MA · On-site

$157K - $224K/yr

... RF sensor systems compliant with open architecture standards. You will work as part of focused ... Translate algorithm specifications (MATLAB, Python) into optimized C/C++ implementations

The Sensors Division at STR focuses on technology development for advanced sensor systems and ... You will work with scientists and engineers to design and implement algorithmic solutions to ...

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Sensor Algorithm Engineer information

What are the key skills and qualifications needed to thrive as a Sensor Algorithm Engineer, and why are they important?

To thrive as a Sensor Algorithm Engineer, you need a strong background in signal processing, sensor physics, and applied mathematics, often supported by a degree in electrical engineering, computer science, or a related field. Familiarity with programming languages such as Python or C++, tools like MATLAB, and experience with sensor data fusion systems are typically required. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate across multidisciplinary teams and interpret complex data. These skills are essential to develop robust algorithms that ensure accurate sensor performance and drive innovation in fields like automotive, robotics, and consumer electronics.

How does a Sensor Algorithm Engineer typically collaborate with hardware and software teams during product development?

Sensor Algorithm Engineers often serve as a bridge between hardware engineers and software developers. They work closely with hardware teams to understand sensor specifications and limitations while collaborating with software teams to integrate algorithms into embedded systems or applications. Regular cross-disciplinary meetings and iterative testing are common, ensuring that sensor data is accurately interpreted and that the algorithms perform reliably under real-world conditions. This collaborative environment helps drive innovation and ensures that final products meet both technical and user requirements.

What does a Sensor Algorithm Engineer do?

A Sensor Algorithm Engineer designs, develops, and tests algorithms that process data from various sensors, such as cameras, accelerometers, gyroscopes, or environmental sensors. Their work involves creating mathematical models and software to interpret sensor data for applications like robotics, autonomous vehicles, mobile devices, or IoT systems. They collaborate with hardware engineers and software developers to ensure accurate and reliable sensor performance. The role often requires expertise in signal processing, machine learning, and embedded systems.

What is the difference between Sensor Algorithm Engineer vs Signal Processing Engineer?

AspectSensor Algorithm EngineerSignal Processing Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of sensor systemsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; expertise in signal processing techniques
Work EnvironmentDevelops algorithms for sensors in automotive, consumer electronics, or industrial applicationsDesigns and implements signal processing algorithms across various industries including communications and audio
Employer & Industry UsageUsed by companies developing sensor-based systems like IoT devices, autonomous vehicles, and roboticsCommon in telecommunications, audio engineering, and image processing sectors

While both roles involve algorithm development and require similar educational backgrounds, Sensor Algorithm Engineers focus on creating algorithms specifically for sensor data interpretation, whereas Signal Processing Engineers work on processing signals from various sources, including sensors, for broader applications.

What job categories do people searching Sensor Algorithm Engineer jobs in Massachusetts look for? The top searched job categories for Sensor Algorithm Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Sensor Algorithm Engineer jobs? Cities in Massachusetts with the most Sensor Algorithm Engineer job openings:
Lead Algorithm & Signal Processing Engineer

Lead Algorithm & Signal Processing Engineer

STR

Woburn, MA • On-site

$157K - $220K/yr

Other

Posted 20 days ago


Job description

About the Team:

The Electronic Warfare and Novel Capabilities Group (EWNC) develops and delivers advanced signal processing algorithms and prototype systems for next-generation radar and electronic warfare technologies.

EWNC fosters a culture of innovation and collaboration. We investigate cutting edge technologies and interface with engineers across sectors and divisions at STR and researchers at academic institutions and industry partners to develop practical and effective solutions to RF sensing and counter-sensing challenges. If you're seeking an opportunity to apply your deep technical knowledge and creativity to make a lasting impact, we invite you to join us.

The Role:

As a Lead Algorithm & Signal Processing Researcher, you'll have the opportunity to develop state-of-the-art algorithms and techniques for sense making and sensor decision making, from signal detection and classification, to electronic support measures, attack, and protection, to cognitive EW and more.

What You Will Do:

  • Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges
  • Design and implement models and simulations for advanced RF systems
  • Lead small teams and projects
  • Support business development and proposal writing efforts
  • Collaborate with diverse teams to deploy cutting-edge capabilities to prototype systems

Who You Are:

  • This position requires the ability to obtain a Top Secret security clearance, for which U.S. citizenship is needed by U.S. Government
  • BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline
  • 5-7+ years of relevant work experience depending on degree (BS +7 years or MS +5 years)
  • Experience in two or more of the following areas:
    • RF/radar signal processing, optimization, waveform design, electronic warfare, machine learning, adaptive signal processing, AI/ML algorithm development, algorithm development, test & evaluation, model & simulation, or systems engineering, test engineering, radar modelling, or RF systems prototyping
  • Proficiency in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++
  • Strong mathematical, troubleshooting, written, and verbal communication skills

Even Better:

  • Active Security Clearance
  • Experience with:
    • RF technologies in the defense sector, particularly for sensing and electronic warfare applications including electronic attack, electronic protection, cognitive EW, and advanced electronic support measures techniques and algorithms
    • Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow
    • Interacting with decision-makers and customers to translate mission needs into an end-to-end analytical solution
    • Ability to apply novel, innovative and interdisciplinary approaches to challenging engineering problems
    • Ability to create and present briefings to customers and senior management to provide both high-level and deep technical solution explanations

Pay Information
Full-Time Salary Range: $157,000 - $220,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.