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Sensor Algorithm Engineer Jobs in Ontario, CA (NOW HIRING)

Senior Motor Control Engineer

Irvine, CA · On-site

$179K - $185K/yr

In this role, you won't just write algorithms, you'll own the control system architecture and lead ... Develop sensor-based FOC, including encoder and current-sensor signal conditioning * Implement ...

Software Engineer, ROS Developer

Irvine, CA · On-site

$125K - $155K/yr

As a ROS Developer , you will play a critical role in developing advanced robotic applications ... Familiarity with noisy sensor data and building robust, resilient algorithms. * Experience ...

Software Engineer, ROS Developer

Irvine, CA · On-site

$125K - $155K/yr

As a ROS Developer , you will play a critical role in developing advanced robotic applications ... Familiarity with noisy sensor data and building robust, resilient algorithms. * Experience ...

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Sensor Algorithm Engineer information

See Ontario, CA salary details

$60.5K

$113.6K

$206.5K

How much do sensor algorithm engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for sensor algorithm engineer in Ontario, CA is $113,578.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $134,800.00 per year, depending on experience, location, and employer.

What is the definition of sensor?

A sensor is a device used by a Sensor Algorithm Engineer to detect and measure physical properties such as temperature, pressure, or motion. It converts these measurements into signals that can be processed by algorithms to interpret environmental conditions or system states. Understanding sensor types and characteristics is essential for developing accurate and reliable sensor-based 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.

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 censor and sensor?

In the context of a Sensor Algorithm Engineer role, a sensor is a device that detects physical properties like temperature, motion, or light and converts them into signals for processing. Censor is not a standard term in this field; it may be a misspelling or confusion with 'censor,' which means to suppress or hide information. Understanding sensor types and their data processing is essential for developing effective algorithms in this role.

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 is a synonym for sensor?

A sensor is a device that detects and measures physical properties such as temperature, pressure, or motion. In the context of a Sensor Algorithm Engineer, understanding different types of sensors and their functions is essential for developing accurate algorithms and processing data effectively.

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 a sensor also known as?

A sensor is also known as a transducer or detector, as it converts physical stimuli into electrical signals for processing. Sensor algorithm engineers often work with these devices to develop accurate data interpretation algorithms.
What are popular job titles related to Sensor Algorithm Engineer jobs in Ontario, CA? For Sensor Algorithm Engineer jobs in Ontario, CA, the most frequently searched job titles are:
What cities near Ontario, CA are hiring for Sensor Algorithm Engineer jobs? Cities near Ontario, CA with the most Sensor Algorithm Engineer job openings:

Robotics Autonomy Engineer - Federal Projects

FieldAI

Irvine, CA • On-site

$70K - $300K/yr

Full-time

Posted 15 days ago


Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
Are you passionate about robotics and software engineering? Do you thrive on creating robust algorithms and deploying cutting-edge autonomous systems in real-world scenarios? Field AI is looking for a Robotics Autonomy Engineer to join our dynamic team. In this role, you will develop, implement, and maintain state-of-the-art autonomy software stacks, ensuring our robots navigate and perform tasks seamlessly in challenging environments. This is your chance to shape the future of robotics and work alongside a team that values innovation, hands-on expertise, and impact-driven results if you're a software-savvy robotics enthusiast eager to take on exciting challenges and make a tangible difference, this is the opportunity for you!
What You'll Get To Do
1. Autonomy Engineering
  • Develop algorithms to assess environmental conditions and support autonomous decision-making
  • Design evaluation frameworks to measure the performance of perception and navigation systems
  • Integrate and analyze multi-sensor data to enhance situational awareness and risk assessment
  • Create systematic approaches to validate and improve system predictions across diverse operating scenarios
  • Collaborate across perception, planning, and controls to develop benchmarks and metrics for system-wide performance

2. Autonomy Systems Engineering
  • Evaluate and design trade-offs between compute, latency, power, and other key performance metrics for robotic systems.
  • Integrate diverse software modules, ensuring seamless communication and synchronization across components.
  • Establish and maintain system performance metrics to identify bottlenecks and optimize system behavior.
  • Conduct iterative testing and refinement to ensure systems meet real-world demands and constraints

3. Software Integration and Testing
  • Work extensively with ROS (Robot Operating System) to develop, test, and integrate software modules.
  • Conduct simulations and field tests to validate performance and optimize system behavior.

4. Hands-On Robotics Deployment
  • Collaborate with hardware teams to ensure seamless software-hardware integration.
  • Travel to customer sites to deploy, calibrate, and fine-tune robotic systems in diverse and challenging real-world conditions.

5. Cross-Team Collaboration
  • Work closely with other engineering teams to align development efforts and achieve cohesive system performance.
  • Communicate effectively with non-technical stakeholders to explain robotic capabilities and project progress.

What You Have
  • US Person: Required due to export control regulations and project requirements.
  • Proficiency in ROS (Robot Operating System): Experience developing and integrating robotic software solutions.
  • Hands-On Robotics Experience: Practical experience working with autonomous robotic systems, including testing and deployment in the field.
  • Strong Programming Skills: Proficiency in Python and C++ for algorithm development and system integration. Experience with GPU programming (CUDA C++, PyTorch) a plus.
  • Understanding of System Integration and Engineering for Autonomous Systems: Solid cross-domain knowledge across a wide range of robotic autonomy modules, including localization, perception, planning, and controls.
  • Willingness to Travel: Ability and eagerness to travel to customer sites for deployments, testing, and troubleshooting (up to 30% travel).
  • Excellent Communication Skills: Ability to convey complex technical concepts clearly to diverse audiences.

What Will Set You Apart
  • Experience with real-time systems or robotics middleware.
  • Familiarity with sensor integration and perception algorithms.
  • Knowledge of machine learning techniques applied to robotics.
  • Exposure to industrial robotics applications in sectors like construction, mining, or manufacturing.
  • Experience working in harsh or outdoor environments.
  • Experience working with offroad vehicles / offroad driving
  • Advanced degree (Bachelors, Master's) in Robotics, Computer Science, Electrical Engineering, or a related field.
  • Understanding of safety standards and compliance in robotics.

This position is for our FieldAI Federal Team. This team works on projects connected to the U.S. government which requires U.S. Person eligibility. A U.S. Person as defined by 22 C.F.R §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee.
Compensation and Benefits
Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Modelsâ„¢ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.