ZipRecruiter

Log In

1

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

Meta

Sensor Hardware Engineer

Sunnyvale, CA

$173K/yr

Sensor Hardware Engineer Responsibilities: * Collaborate closely with cross functional teams and ... Experience in developing algorithms, test scripts, and firmware * Experience communicating novel ...

OMNIVISION

SoC Design Engineer

Santa Clara, CA · On-site

$156K - $160K/yr

Be responsible for digital design of ASIC cores within image sensor SoC products, including IP ... Work with algorithm engineers for module level design, including hardware C model implementation ...

OMNIVISION

SoC Design Engineer

Santa Clara, CA

$156K - $160K/yr

Be responsible for digital design of ASIC cores within image sensor SoC products, including IP ... Work with algorithm engineers for module level design, including hardware C model implementation ...

OMNIVISION

SoC Design Engineer

Santa Clara, CA

Be responsible for digital design of ASIC cores within image sensor SoC products, including IP ... Work with algorithm engineers for module level design, including hardware C model implementation ...

Zoox

Manager - Sensor Calibration

Foster City, CA · On-site

$242K - $333K/yr

Operating at the intersection of robotics and advanced hardware engineering, you will collaborate ... algorithms, localization, and computer vision * Cross-Functional Collaboration: Excellent ...

previous page

Showing results 41-60

All JobsSensor Algorithm Engineer JobsSensor Algorithm Engineer Jobs in Cupertino, CA

Sensor Algorithm Engineer information

See Cupertino, CA salary details

$73.4K

$137.7K

$250.4K

How much do sensor algorithm engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for sensor algorithm engineer in Cupertino, CA is $137,725.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $163,500.00 per year, depending on experience, location, and employer.

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 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 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 job categories do people searching Sensor Algorithm Engineer jobs in Cupertino, CA look for?

The top searched job categories for Sensor Algorithm Engineer jobs in Cupertino, CA are:

What cities near Cupertino, CA are hiring for Sensor Algorithm Engineer jobs?

Cities near Cupertino, CA with the most Sensor Algorithm Engineer job openings:

Sensor Algorithm Engineer jobs near you
Infographic showing various Sensor Algorithm Engineer job openings in Cupertino, CA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $137,725 per year, or $66.2 per hour.

Robotics Engineer (Algorithms & Software)

Lyte

Sunnyvale, CA • On-site

$150K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

Job description

About the role
  • We are looking for a Robotics Engineer with a strong focus on algorithms, ML, and software to build intelligent robotic systems on top of diverse robot platforms. This role centers on developing and integrating perception, state estimation, planning, and learning-based behaviors while deploying them across AMRs, robotic arms, quadrupeds, and humanoids.
    You will work closely with perception, ML, and software teams to integrate multi-sensor data into robust autonomy stacks and deploy them on real robotic platforms used for internal development, demos, and customer-facing systems. This is a hands-on software and algorithms role with high system-level impact.

What you'll do
  • Develop and integrate robotics algorithms and ML-based systems for perception, state estimation, planning, and control
  • Integrate multi-sensor perception outputs (camera, LiDAR, IMU) into autonomy and decision-making stacks
  • Build and maintain robot software stacks for diverse platforms (AMR, arm, quadruped, humanoid)
  • Implement and tune algorithms for localization, mapping, and sensor fusion; motion planning and trajectory optimization; learning-based behaviors and policies
  • Work closely with perception and vision teams to consume and validate ML-based outputs (detection, depth, tracking)
  • Deploy and optimize robotics software on embedded and edge compute platforms
  • Support integration of autonomy stacks into real robots for demos, testing, and customer use
  • Debug system-level autonomy issues spanning sensors, algorithms, and software interactions

Required Qualifications
  • Bachelor's degree or higher in Robotics, Computer Science, or a related field
  • 6+ years of experience in robotics algorithms, autonomy, or robotics software engineering
  • Strong foundation in core robotics algorithms, including state estimation and sensor fusion; motion planning and control; localization and mapping
  • Strong software engineering skills in C++ and/or Python
  • Experience deploying robotics algorithms on real robotic platforms
  • Ability to work effectively with cross-functional teams in fast-paced environments

Preferred Qualifications
  • Experience with ROS / ROS 2 and modern robotics middleware
  • Background in learning-based robotics, reinforcement learning, or imitation learning
  • Experience integrating ML models into real-time robotic systems
  • Familiarity with simulation tools and workflows (Gazebo, Isaac Sim, Mujoco, etc.)
  • Experience working across multiple robot morphologies (mobile, manipulation, legged)
  • Comfort working in a startup environment with ambiguity and rapid iteration

Benefits (subject to location and local regulations)
  • Competitive salary and equity
  • Comprehensive medical, dental, and vision coverage
  • 401(k) retirement plan
  • Flexible vacation and time-off policy
  • Collaborative, fast-paced, and inclusive work environment
  • Opportunity to work on cutting-edge technologies with a highly cross-functional team

About Lyte
Lyte builds perception systems for Physical AI operating in complex environments. The company combines custom silicon, integrated sensors, and software into a unified platform for robotics, mobility, and next-generation automation. Lyte is headquartered in Sunnyvale, California, with a global presence. For more information, visit www.lyte.ai
If you're excited about building impactful technology in a dynamic, hands-on environment, we'd love to hear from you!
The pay range for this role is:
150,000 - 300,000 USD per year (Bay Area, CA)

Apply