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Entry Level Sensor Fusion Engineer Jobs (NOW HIRING)

Sensor Algorithm Engineer - Hardware

Santa Clara, CA · On-site

$145K - $191K/yr

Sensor Fusion, DSP, Fixed-Point Algorithms, ASIC Implementation TalentLab is recruiting a Sensor Algorithm Engineer to develop advanced sensor fusion and signal processing algorithms targeted for ...

Radar Fusion - Engineer

Edwards, CA · On-site

$110K - $185K/yr

Radar Fusion Engineers must stay current with the latest advancements in radar technology and have ... Experience with Radar and Electronic Warfare principles, and sensor operations Knowledge of Low ...

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Entry Level Sensor Fusion Engineer information

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How much do entry level sensor fusion engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for entry level sensor fusion engineer in the United States is $33.20, according to ZipRecruiter salary data. Most workers in this role earn between $26.92 and $37.50 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Sensor Fusion Engineer vs Entry Level Robotics Engineer?

AspectEntry Level Sensor Fusion EngineerEntry Level Robotics Engineer
Required CredentialsBachelor's in Electrical, Computer Engineering, or related field; knowledge of sensor systemsBachelor's in Mechanical, Electrical, or Robotics Engineering; programming skills
Work EnvironmentResearch labs, automotive, aerospace, or tech companies focusing on sensor data integrationManufacturing, automation, or research labs working on robotic systems
Industry UsageAutonomous vehicles, drones, sensor networksIndustrial automation, service robots, research projects

Entry Level Sensor Fusion Engineers focus on integrating data from multiple sensors to improve system accuracy, often working with sensor hardware and algorithms. In contrast, Entry Level Robotics Engineers design and develop robotic systems, which may include sensor integration but also involve mechanical design and control systems. Both roles require a strong technical background, but their primary focus differs—sensor fusion emphasizes data processing, while robotics emphasizes system design and functionality.

What cities are hiring for Entry Level Sensor Fusion Engineer jobs?

Cities with the most Entry Level Sensor Fusion Engineer job openings:

What are the most commonly searched types of Sensor Fusion Engineer jobs?

The most popular types of Sensor Fusion Engineer jobs are:

What are popular job titles related to Entry Level Sensor Fusion Engineer jobs?

For Entry Level Sensor Fusion Engineer jobs, the most frequently searched job titles are:

Sensor Systems Engineer -- Sensor Fusion & Signal Processing

Santa Clara, CA • On-site

$150 - $200/hr

Other

Posted 19 days ago


Job description

Sensor Systems Engineer — Sensor Fusion & Signal Processing

TalentLab is working with a leading semiconductor technology company on a Sensor Systems Engineer opportunity focused on advanced sensing technology for smartphones, wearables, IoT and other embedded consumer devices.

This role is centered on algorithm and systems engineering rather than traditional software development, combining digital signal processing, sensor fusion, estimation and machine learning to develop next-generation sensing capabilities.

What you'll work on

  • Design and develop single and multi-sensor fusion algorithms using DSP and ML techniques.
  • Work with accelerometer, gyroscope, magnetometer and other sensor data.
  • Apply techniques including Kalman filtering, adaptive filtering, linear algebra, probability and statistics.
  • Prototype algorithms using MATLAB and Python.
  • Evaluate and benchmark algorithms across accuracy, performance, power and computational complexity.
  • Support implementation of algorithms in C/C++ on embedded platforms.
  • Work across R&D, systems engineering, software integration, validation and commercial deployment.

What we're looking for

  • Bachelor's, Master's or PhD in Electrical Engineering, Computer Engineering or a related discipline.
  • Strong understanding of digital signal processing and estimation techniques.
  • Experience developing algorithms using IMU or other physical sensor data.
  • Knowledge of Kalman filters, adaptive filters, probability and statistics.
  • Experience with MATLAB and/or Python for algorithm development.
  • Exposure to machine learning techniques including classification, regression and feature extraction.
  • C/C++ experience is beneficial.
  • Publications or research in signal processing, sensor fusion or related areas are an asset.

Location: Santa Clara, CA
Focus: Sensor fusion, DSP, estimation algorithms

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