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Sensor Algorithm Engineer Jobs in California (NOW HIRING)

Comrise

Sensor Systems Engineer

Foster City, CA · On-site

As a Sensor Systems Engineer, you'll: * Identify and analyze challenging use cases and edge-case ... Familiarity with state-of-the-art perception and planning algorithms Familiarity with 3d modeling ...

Apple

Camera Algorithms Engineer

Cupertino, CA

$147.40K - $272.10K/yr

Apple's Camera Algorithm team is looking for extraordinary engineers to work on the image capture ... Deep understanding and appreciation of sensor characteristics, optics, and image signal processing ...

Apple

Calibration Algorithm Architect

Cupertino, CA

$181.10K - $318.40K/yr

... engineering experience Extensive knowledge of camera technologies including image sensor operation ... algorithms (AWB, AGC, AF, OIS), actuators, and optics Expertise in camera and image quality ...

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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.

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 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.

What are popular job titles related to Sensor Algorithm Engineer jobs in California? For Sensor Algorithm Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Sensor Algorithm Engineer jobs in California look for? The top searched job categories for Sensor Algorithm Engineer jobs in California are:
What cities in California are hiring for Sensor Algorithm Engineer jobs? Cities in California with the most Sensor Algorithm Engineer job openings:
Sensor Algorithm Engineer jobs near you
Robotic Software Engineer, Perception

Robotic Software Engineer, Perception

Applied Intuition

San Diego, CA

$140K - $220K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description

About the role

As a Perception Autonomy engineer, you will be pivotal in developing, integrating, and maintaining real-time sensor software solutions deployed across a range of heterogenous autonomous vehicles and different domains (e.g., land, air, sea, and space).  You will work with a team to continuously add capability and demonstrate the solution to customers in real-world scenarios on a variety of hardware platforms. Your responsibility will primarily be designing, developing, and rapidly integrating AI/ML sensor algorithms to interface across different platforms,  ingest relevant mission information, and support the autonomy team's mission objectives. This work includes developing autonomous sensor controllers to optimally fuse information between state-of-the-art sensor systems, such as EO, IR, acoustics, radar, and RF.

At Applied Intuition, you will:
  • Develop, integrate, and adapt cutting-edge AI/ML algorithms running on the perception autonomy stack to collect relevant information across a suite of platform sensors
  • Create interfacing software to autonomously control sensors (e.g., EO, IR, acoustics, radar, and RF)
  • Collaborate across the sensor, tracking, and autonomy teams to ensure seamless deployment of heterogeneous platform swarms in on-site DoD testing and demonstration events
  • Deploy containerized solutions to embedded Linux devices, leveraging computer-in-the-loop testing and profiling, and efficiently collecting performance data
  • Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience
  • Work closely with our existing team to internally triage technical problems and scope
  • Carefully communicate and document ongoing work to ensure internal flexibility in a fast paced environment as well as clarify progress with external customers
  • Drive execution of simulation tooling to playback sensors, platforms, and autonomy in post processing field test analysis
  • Implement improvement plans for future integration efforts based on simulation analysis and customer feedback
We're looking for someone who has:
  • MS or PhD in Electrical Engineering, Computer Engineering, Robotic Engineering, Computer Science, Optimization, or equivalent OR 5+ years of relevant experience working with sensor algorithms, hardware, and HIL software integration
  • Experience with multiple sensor modalities (e.g., EO, IR, lidar, radar, sonar, acoustics, etc.)Core understanding of sensor physics and sensor control parameters
  • Experience training and deploying ML algorithms (python, pytorch, tensorflow) onto integrated systems (onnx, C++ models)
  • Familiarity with tracking basics (e.g., Kalman filters) and optimal sensor fusion
  • Experience working comfortably in Linux and Docker
  • Prior experience with remote software development, ability to handle and process large datasets, and learn new software and algorithms as needed with little supervision
Travel Requirements:
  • Must be willing to travel as projects requires, usually for SW/HW integration and/or demonstrations; estimated average travel is every 1-2 months for 2-5 days (10-20%)
  • Travel-adverse candidates are encouraged to inquire about relocation assistance to HQ in Poway, CA
Security Requirements:
  • Must be a U.S. Citizen
  • Must hold or be eligible to obtain and maintain a U.S. security clearance

For more information about U.S. security clearances: click here.

Nice to have:
  • Proficiency with modern C++ development (2011, 2017, 2020, smart pointers, etc.), CMAKE, Python and Bash
  • PhD in computer science or electrical engineering with AI/ML focus
  • Experience with robotic swarm or multi-agent systems and optimization   
  • Strong tracking and sensor fusion background
  • Current U.S. SECRET security clearance

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $140,000 to $220,000 USD annually.

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