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Sensor Algorithm Engineer Jobs in Georgia (NOW HIRING)

Lead Software Engineer

Atlanta, GA · On-site

$157K - $223K/yr

... sensor signal processing systems * Develop and optimize GPU-accelerated algorithms for signal ... Collaborate with algorithm developers, systems engineers, RF hardware engineers, and integration ...

Lead Software Engineer

Atlanta, GA · On-site

$157K - $223K/yr

... sensor signal processing systems * Develop and optimize GPU-accelerated algorithms for signal ... Collaborate with algorithm developers, systems engineers, RF hardware engineers, and integration ...

Lead Software Engineer

Atlanta, GA · On-site

$157K - $223K/yr

... sensor signal processing systems * Develop and optimize GPU-accelerated algorithms for signal ... Collaborate with algorithm developers, systems engineers, RF hardware engineers, and integration ...

... sensor integration, navigation algorithms, and fleet management systems that support safe, scalable ... Strong programming experience in C/C++, Python, or similar languages * Experience with CODESYS or ...

The Sensors Division at STR focuses on technology development for advanced sensor systems and ... algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor ...

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Sensor Algorithm Engineer information

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 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 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 cities in Georgia are hiring for Sensor Algorithm Engineer jobs?

Cities in Georgia with the most Sensor Algorithm Engineer job openings:

Lead Software Engineer

Atlanta, GA • On-site

$157K - $223K/yr

Full-time

Posted 6 days ago


Job description

About the Team:

The Sensors Division at STR focuses on technology development for advanced sensor systems, particularly in the areas of airborne/surface-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing.  Within this role, we perform work on full system prototypes, experiment campaigns and technology component development.  Development roles within the Sensors Division include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, as well as real-time embedded processor implementation.

Within the Sensors Division, the Real-time Architectures, Integration and Demonstration (RAID) Group focuses on transition of algorithms from concept to real-time software, providing open architecture expertise, and facilitating integration of capabilities for experimentation, test, and deployment.

The Role:

The RAID Group is seeking a Lead Software Engineer with demonstrated expertise in GPU programming and optimization to design, develop, and implement real-time software for RF sensor systems compliant with open architecture standards.  You will work as part of focused teams to transition advanced signal processing algorithms from research prototypes into production-quality software for embedded and distributed computing platforms.  You will be responsible for architecting software components, implementing real-time processing pipelines, and optimizing performance for resource-constrained systems.

A successful candidate will have experience developing high-performance C/C++ software for sensor systems.  Strong understanding of real-time systems, multithreaded programming, and signal processing are essential.  Experience with open architecture frameworks and standards is highly desired.  Strong technical, interpersonal, and communication skills are important for working in collaborative, multi-disciplinary teams.

What you will do:

  • Design and implement real-time software components for RF sensor signal processing systems
  • Develop and optimize GPU-accelerated algorithms for signal processing pipelines using CUDA
  • Translate algorithm specifications (MATLAB, Python) into optimized C/C++ implementations
  • Architect software components compliant with open architecture standards
  • Integrate and optimize code for real-time performance on multi-core CPUs and GPUs with strict latency requirements
  • Develop unit tests, integration tests, and performance benchmarks; promote testing best practices
  • Document software designs, APIs, implementation details, and technical reports
  • Contribute to briefings and presentations for program reviews and customer meetings
  • Collaborate with algorithm developers, systems engineers, RF hardware engineers, and integration teams across programs
  • Contribute to proposal development efforts including technical approach
  • Perform peer reviews and suggest next steps for technical work
  • Support approximately 20% travel for integration events, customer meetings, and field demonstrations

Who you are:

  • Ability to obtain and retain a Secret Security Clearance, for which U.S Citizenship is needed by the U.S government
  • PhD + 2 years, MS + 5 years, or BS + 7 years in Computer Science, Computer Engineering, Electrical Engineering, or related field
  • Experience with GPU programming and optimization (CUDA)
  • Strong proficiency in C/C++ for high-performance, real-time applications
  • Experience with Linux and embedded systems development
  • Experience with real-time signal processing
  • Experience with multithreaded programming, thread safety, and synchronization
  • Experience with version control systems (Git) and collaborative development practices
  • Good technical writing and communication skills

Even Better:

  • Active Security Clearance at the Secret or Top Secret level (strongly preferred due to clearance processing time)
  • Proficiency in MATLAB and/or Python for algorithm prototyping
  • Experience with open architecture standards and frameworks
  • Understanding of RF signal processing concepts
  • Familiarity with containerization, CI/CD pipelines, and DevOps practices
  • Prior contributions to proposal development and technical writing

Pay Information
Full-Time Salary Range: $157,000 - $223,000

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.