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Sensor Algorithm Engineer Jobs in Queens, NY (NOW HIRING)

... algorithms that power autonomous robots, humanoids, and intelligent machines ... From visual perception and SLAM to multimodal sensor fusion and reinforcement learning, you'll be ...

Implement algorithms for drone detection, tracking, identification, and mitigation. * Optimize ... Experience with sensor integration (e.g., radar, optical, acoustic). * Knowledge of communication ...

... and sensor fusion * Develop vision-guided automation solutions integrating cameras, lighting ... Work on classical detection algorithms as well as training and deploying state-of-the-art vision ...

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Sensor Algorithm Engineer information

See Queens, NY salary details

$62.1K

$116.5K

$211.8K

How much do sensor algorithm engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for sensor algorithm engineer in Queens, NY is $116,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $138,300.00 per year, depending on experience, location, and employer.

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 Queens, NY? For Sensor Algorithm Engineer jobs in Queens, NY, the most frequently searched job titles are:
What job categories do people searching Sensor Algorithm Engineer jobs in Queens, NY look for? The top searched job categories for Sensor Algorithm Engineer jobs in Queens, NY are:
What cities near Queens, NY are hiring for Sensor Algorithm Engineer jobs? Cities near Queens, NY with the most Sensor Algorithm Engineer job openings:

Senior Verification & Integration Engineer

Voyant Photonics

New York, NY โ€ข On-site

$125K - $165K/yr

Full-time

Posted 8 days ago


Job description

Sensor Verification & Integration Engineer
Voyant is building the sensing systems that will let autonomous machines see and understand the world around them. Our silicon photonics FMCW LiDAR platform is advancing toward production maturity, and we're simultaneously breaking new ground on next-generation programs. As a lean, close-knit team, we move fast and rely on people who can think on their feet.
We're looking for a Sensor Verification & Integration Engineer to join our Systems Team, reporting to the System Integration Lead. This role sits at the intersection of system integration/test and sensor verification - you'll run verification tests across full sensor systems and subsystems, troubleshoot with strong physics and systems-engineering fundamentals, and help our team separate real design flaws from measurement artifacts. You'll work across multiple active programs, pushing our platform further down the product lifecycle while standing up verification for brand-new subsystems.
What You'll Do:
  • Design and execute verification tests for full sensor systems and subsystems, ensuring designs meet performance and reliability requirements.
  • Troubleshoot and debug system-level and subsystem-level issues, applying strong systems-engineering and first-principles physics reasoning to isolate root cause.
  • Generate clear test reports and well-formed hypotheses to share findings and drive decisions with the broader engineering team.
  • Build, maintain, and automate test benches and lab equipment to support repeatable, efficient verification.
  • Adapt quickly to changing requirements, shifting priorities, and new problems as our programs evolve.
  • Bring creativity to solving design challenges under real-world constraints
  • Collaborate closely with hardware, optics, firmware, and algorithms engineers throughout the system lifecycle, from bring-up through production support.

What We Need to See:
  • BS in Electrical Engineering, Physics, or a related field (MS or PhD a plus).
  • 3+ years of hands-on experience in system or sensor test, verification, or characterization - though we're open to exceptional candidates at other experience levels who show strong potential and the right attitude.
  • Hands-on experience with lab equipment (oscilloscopes, power supplies, function generators, spectrum analyzers, logic analyzers) and demonstrated experience automating test equipment.
  • Proficiency in Python for test automation and data analysis.
  • Strong systems-level thinking and the ability to apply physics and engineering fundamentals to debug complex, ambiguous problems.
  • Excellent written and verbal communication skills - able to turn raw data and observations into clear reports and actionable hypotheses.
  • A self-starter who thrives with minimal formal process, and is comfortable defining and communicating structure where it doesn't yet exist.
  • Enthusiasm for tackling new and unexpected problems, and the flexibility to pivot as priorities shift.
  • Must be able to work on-site.

Preferred Qualifications:
  • Experience with FMCW LiDAR, radar, or other optical/photonic sensing systems.
  • Experience automating motorized stages, gimbals, or other opto-mechanical test setups.
  • Familiarity with C/C++ for embedded or test applications.

Why Voyant:
This is a chance to join a small team working on technology that's changing how machines perceive the world - and to have an outsized, visible impact on that mission. You'll work alongside a team of experts who've built this platform from the ground up, in an environment where you'll learn fast, grow quickly, and help shape not just our product but how we work.
Equal Opportunity Employer
Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.