ZipRecruiter

Log In

1

Sensor Algorithm Engineer Jobs in Orland Park, IL

Infleqtion

Senior Embedded Software Engineer

Chicago, IL · On-site

$127K - $167K/yr

Direct experience with NVIDIA Holoscan Sensor Bridge, RDMA over Converged Ethernet, or similar ... Experience performance‑modeling compute systems as a function of problem size and algorithmic ...

Infleqtion

Senior Embedded Software Engineer

Chicago, IL

$127K - $167K/yr

Direct experience with NVIDIA Holoscan Sensor Bridge, RDMA over Converged Ethernet, or similar ... Experience performancemodeling compute systems as a function of problem size and algorithmic ...

PsiQuantum

Senior Cryogenic Engineer

Chicago, IL · On-site

$107K - $147K/yr

PsiQuantum also develops the algorithms and software needed to make these systems commercially ... sensor validation and PLC tuning. * Spearhead the development and review of P&IDs, and participate ...

PsiQuantum

Senior Cryogenic Engineer

Chicago, IL

$107K - $147K/yr

PsiQuantum also develops the algorithms and software needed to make these systems commercially ... sensor validation and PLC tuning. * Spearhead the development and review of P&IDs, and participate ...

blueStone

iOS Architect

Oak Brook, IL · On-site

A plus is experience with sensors or sensor sampling, such as accelerometers * A plus is experience ... algorithm and data structure fundamentals Qualifications * BS or MS in Electrical Engineering ...

All JobsSensor Algorithm Engineer JobsSensor Algorithm Engineer Jobs in Orland Park, IL

Sensor Algorithm Engineer information

See Orland Park, IL salary details

$59K

$110.7K

$201.4K

How much do sensor algorithm engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for sensor algorithm engineer in Orland Park, IL is $110,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $131,400.00 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 job categories do people searching Sensor Algorithm Engineer jobs in Orland Park, IL look for? The top searched job categories for Sensor Algorithm Engineer jobs in Orland Park, IL are:
What cities near Orland Park, IL are hiring for Sensor Algorithm Engineer jobs? Cities near Orland Park, IL with the most Sensor Algorithm Engineer job openings:
Sensor Algorithm Engineer jobs near you
Infographic showing various Sensor Algorithm Engineer job openings in Orland Park, IL as of July 2026, with employment types broken down into 2% Locum Tenens, 71% Full Time, 25% Part Time, and 2% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $110,746 per year, or $53.2 per hour.
Digital Signal Processing (DSP) Engineer - AI/ML Ops / Remote

Digital Signal Processing (DSP) Engineer - AI/ML Ops / Remote

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Posted 15 days ago

Job description

Digital Signal Processing (DSP) Engineer – AI/ML Ops
Location: Chicago, IL (Hybrid/Onsite Preferred)
 
Responsibilities
• Design and implement advanced DSP algorithms for real-time and offline signal processing.
• Develop AI/ML models for signal classification, anomaly detection, feature extraction, and predictive analytics.
• Build scalable data pipelines for signal acquisition, preprocessing, and model training.
• Deploy ML models into production using MLOps best practices.
• Optimize DSP and AI algorithms for latency, throughput, and computational efficiency.
• Collaborate with data scientists, embedded engineers, and software development teams.
• Implement CI/CD pipelines for machine learning workflows.
• Monitor production models for drift, performance, and reliability.
• Work with cloud-native AI services and containerized deployments.
• Document architecture, algorithms, and deployment processes.
 
Required Qualifications
• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 5+ years of experience in Digital Signal Processing.
• Strong knowledge of: o Digital Filters o FFT o Wavelets o Spectral Analysis o Adaptive Filtering o Time-Series Signal Processing
• Proficiency in Python and C/C++.
• Experience with TensorFlow or PyTorch.
• Hands-on experience building ML pipelines.
• Experience with Docker and Kubernetes.
• Experience with Git and CI/CD. Preferred Qualifications
• Experience with MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
• Experience deploying AI models at the edge.
• Familiarity with NVIDIA CUDA or GPU optimization.
• Experience with audio, radar, RF, image, LiDAR, or sensor signal processing.
• Knowledge of LLMs and Agentic AI is a plus.
• Experience working in regulated industries (Healthcare, Automotive, Aerospace, Telecom, Industrial).