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Sensor Algorithm Engineer Jobs in North Carolina

BotBuilt

Mechatronics Engineer

Durham, NC · On-site

Assignments will range from sensor integration, real time communication to control algorithms for ... The BotBuilt Team Our elite group consists of NASA engineers, U.S. Special Operations veterans ...

BotBuilt

Firmware Engineer

Durham, NC · On-site

$80K - $110K/yr

Assignments will range from sensor integration, real time communication to control algorithms for ... The BotBuilt Team Our elite group consists of NASA engineers, U.S. Special Operations veterans ...

CoVar

Signal Processing Engineer

Durham, NC

Signal Processing Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC ... You will develop novel and advanced algorithms for sense making and sensor decision making for ...

Vadum Inc

Electronic Warfare Systems Architect

Raleigh, NC · On-site

$217K/yr

... chief engineer on radar/EW programs. - Mentor and guide engineering teams in architectural best ... and sensor exploitation. - Ensure algorithm designs are robust, testable, and suitable for real ...

Vadum Inc

Electronic Warfare Systems Architect

Raleigh, NC · On-site

$217K/yr

... chief engineer on radar/EW programs. - Mentor and guide engineering teams in architectural best ... and sensor exploitation. - Ensure algorithm designs are robust, testable, and suitable for real ...

ADDiTEC

R&D Controls Engineer

Durham, NC · On-site

$75K - $90K/yr

Develop and validate control algorithms that adapt to varying print speeds, toolpath geometries ... Experience with real-time sensor integration (pyrometers, thermocouples, photodiodes, or similar ...

Hitachi

Transformer Diagnostic Specialist

Raleigh, NC · On-site +1

... methodologies and algorithms. * Provide advanced technical support to Engineering, Product ... Experience with transformer monitoring systems, sensor technologies, data analytics, AI/ML ...

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All JobsSensor Algorithm Engineer JobsSensor Algorithm Engineer Jobs in North Carolina

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.

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.

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 are popular job titles related to Sensor Algorithm Engineer jobs in North Carolina? For Sensor Algorithm Engineer jobs in North Carolina, the most frequently searched job titles are:
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Sensor Algorithm Engineer jobs near you

GNC Navigation Engineer

Corvid Technologies LLC

Mooresville, NC • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 19 days ago

Job description

We are seeking a talented and motivated Navigation Engineer to join our Guidance, Navigation, and Control (GNC) department in either our Mooresville, NC or Huntsville, AL office. In this role, you will be responsible for developing navigation algorithms for Corvid's flight computer. This role includes expanding upon Corvid's flight-proven navigation code that operates across multiple flight regimes (subsonic, supersonic, and hypersonic) and is integrated with multiple sensor types (tactical, navigation grades), as well as performing verification and validation activities with the flight computer prior to flight tests. You will work with tactical grade IMUs and GPS receivers, and also will be responsible for developing mathematical models and associated flight code for simulating and integrating new sensors (such as seekers) into the navigation code. You will work with Corvid's aerospace vehicle simulators, GPS simulators, and seeker scene generation software in this role.
The ideal candidate should enjoy developing mathematical models that mechanize aerospace navigation problems, simulate the problems in Python and C++, and enjoy implementing the solutions in flight hardware.
Typical tasking will include:
  • Navigation code development: Further mature Corvid's flight-proven navigation filter by developing new sensor models, develop appropriate interfaces from new sensors to the navigation filter, perform M&S verification and validation of the navigation algorithms, and perform hardware testing.
  • Develop Navigation system requirements: assist program managers and technical leads in developing navigation subsystem requirements. Support program reviews.
  • Support lifecycle of navigation products: Own the development lifeline for new navigation improvements (algorithms and sensors), including attending flight tests and performing post-test analyses. Develop ground test plans, schedules, and cost estimates.
  • Seek improvements on navigation products: Investigate and search for new sensors, methods, or algorithms that can improve Corvid's baseline navigation products (flight computer and navigation filter code). Support the GNC department in integrating improvements in to the flight computer development timelines.
  • Business development: Seek new partners for integrating Corvid's navigation products.
  • Support modeling and simulation activities: Support other GNC department members and Corvid groups in vehicle performance studies through Monte Carlo simulations or other assessment methods.

Requirements:
  • Candidate must be a US Citizen and meet ability to obtain and maintain a Secret Clearance (Active Secret/Top Secret security clearance preferred)
  • Bachelor's degree in Aerospace Engineering, Mechanical Engineering, or Electrical Engineering (Master's degree or Ph.D. with a GNC focus preferred)
  • 10+ years of experience in navigation systems engineering, particularly Kalman filtering methods
  • Proficiency with C++, Python, Linux, and Git version control
  • Solid understanding of navigation sensor mechanics (e.g. theory of operation), alongside demonstrated experience of developing sensor integrations with a Kalman filter.
  • Familiarity with RF and IR seekers, and vision-aided navigation concepts
  • Experience with HIL/SIL testing and test bench instrumentation preferred
  • Exceptional verbal and written communication skills, with the ability to translate complex technical concepts into clear requirements and documentation

About Corvid:
Corvid Technologies is an engineering firm specializing in using high-fidelity, computational modeling and simulation to analyze, design and manufacture products for aerospace, DoD, and commercial customers. We offer a fast-paced and flexible work environment that encourages creativity and collaboration. Our team works on difficult, cutting-edge technical challenges using state-of-the-art technologies and resources.
Why Corvid:
We value our employee-owners and in addition to providing challenging work opportunities and competitive pay, Corvid believes in providing a strong benefit package that provides value to our team members at all stages of their career.
Corvid benefits include:
  • Employee Stock Ownership Plan via our generous 401(k) Matching
  • Medical Insurance via Blue Cross - including a PPO and High-Deductible offering (with company HSA contribution)
  • Paid Time Off (PTO) based on years of industry experience (not tenure)
  • Career Development and Continuing Education opportunities
  • Company provided life, long-term and short-term disability insurance
  • Incentive opportunities to reward strong performance and corporate growth
  • Attractive corporate facilities that include Lake Norman access, out-door activities (including grills) and more

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