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Sensor Jobs in Berkeley, CA (NOW HIRING)

Waabi

Sensors Team Lead

San Francisco, CA · On-site

Sensor Development * Responsible for driving the technical direction and creating the overall strategy/roadmap for Waabi. * Developing a technical plan that aligns with the development of the Waabi ...

Waabi

Sensors Team Lead

San Francisco, CA · On-site

Sensor Development * Responsible for driving the technical direction and creating the overall strategy/roadmap for Waabi. * Developing a technical plan that aligns with the development of the Waabi ...

Apple

Motion Sensing Design Engineer

San Francisco, CA · On-site

The inertial sensor team develops and integrates inertial sensors across a variety of programs including iPhone, iPad, Watch, AirPods, Vision Pro, and more. You will play a key role in engaging with ...

Apple

Motion Sensing System Architect

San Francisco, CA · On-site

$286K/yr

Beyond requirements definition, you will own sensor integration into the product system, leveraging modeling and simulation to optimize sensor placement and working cross-functionally to ensure ...

Apple

Motion Sensing System Architect

San Francisco, CA · On-site

$286K/yr

Beyond requirements definition, you will own sensor integration into the product system, leveraging modeling and simulation to optimize sensor placement and working cross-functionally to ensure ...

Vertex Sigma Software

Systems Engineer

Foster City, CA · On-site

Description Sensor Systems Engineer Onsite in Foster City, CA | at least 3 days in office Minimal travel may be required. We are seeking a highly motivated Systems Engineer to join our Sensors Team.

Vertex Sigma Software

Systems Engineer

Foster City, CA · On-site

Sensor Systems Engineer Onsite in Foster City, CA at least 3 days in office Minimal travel may be required. We are seeking a highly motivated Systems Engineer to join our Sensors Team. In this role ...

Vertex Sigma Software

Systems Engineer

Foster City, CA · On-site

$100 - $130/hr

Sensor Systems Engineer - Foster City, CA Onsite position with minimum 3 days in the office. May require minimal travel. Overview We are seeking a highly motivated Systems Engineer to join our ...

Vertex Sigma Software

Systems Engineer

Foster City, CA · On-site

Sensor Systems Engineer Onsite in Foster City, CA | at least 3 days in office Minimal travel may be required. We are seeking a highly motivated Systems Engineer to join our Sensors Team. In this role ...

Vertex Sigma Software

Systems Engineer

Foster City, CA · On-site

Sensor Systems Engineer Onsite in Foster City, CA | at least 3 days in office Minimal travel may be required. We are seeking a highly motivated Systems Engineer to join our Sensors Team. In this role ...

Specter

Software Engineer - Systems

San Francisco, CA · On-site

$203K - $241K/yr

We offer both long range wireless (1km range) and wired sensor variants to suit any deployment. Our co-founders Xerxes and Philip are passionate about empowering our partners in the fast approaching ...

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All JobsSensor JobsSensor Jobs in Berkeley, CA

Sensor information

See Berkeley, CA salary details

$18

$36

$55

How much do sensor jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for sensor in Berkeley, CA is $36.40, according to ZipRecruiter salary data. Most workers in this role earn between $29.42 and $42.07 per hour, depending on experience, location, and employer.

What is a sensor?

A Sensor job typically involves working with sensor technologies to collect, analyze, and interpret data for various applications. This role may include designing, developing, testing, and maintaining sensors used in industries like automotive, healthcare, manufacturing, and environmental monitoring. Responsibilities often involve programming, signal processing, calibration, and integration with other systems. Sensor professionals may work as engineers, technicians, or researchers focused on improving accuracy and reliability. The job requires knowledge of electronics, physics, and data analysis tools.

What are the key skills and qualifications needed to thrive in the sensor position, and why are they important?

To thrive as a Sensor in an industrial or scientific setting, you need strong analytical and observational skills, attention to detail, and familiarity with data collection or quality assessment methodologies. Typically, Sensors use specialized measuring instruments, data logging software, and may require certifications relevant to safety or technical standards. Strong communication, teamwork, and problem-solving abilities help Sensors excel, especially when relaying findings or collaborating on process improvements. These skills are vital for ensuring accurate and reliable monitoring, supporting operational efficiency, and identifying potential issues promptly.

What are some common challenges sensors face on the job?

Sensors often work in environments where maintaining accuracy and consistency under time constraints can be a challenge, especially when multiple samples need to be analyzed quickly. Adapting to new technologies, processes, or strict regulatory standards may also require ongoing training and attention. Additionally, Sensors must remain vigilant for minor anomalies, as small errors can impact overall quality or safety. However, these challenges are balanced by established procedures, team support, and opportunities to develop specialized technical expertise over time.

How do you become a sensor engineer?

To become a sensor engineer, typically a bachelor's degree in electrical engineering, mechanical engineering, or a related field is required. Gaining experience with sensor design, testing, and calibration, along with proficiency in programming and tools like MATLAB or LabVIEW, is also important; advanced roles may require a master's degree or higher.

What cities near Berkeley, CA are hiring for Sensor jobs?

Cities near Berkeley, CA with the most Sensor job openings:

Sensor jobs near you
Infographic showing various Sensor job openings in Berkeley, CA as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $75,705 per year, or $36.4 per hour.

Senior Applied Scientist - Multi-Sensor & On-Device ML

Gridware

San Francisco, CA

$175K - $205K/yr

Full-time

Medical, Dental, Vision

Re-posted 29 days ago

Key responsibilities

  • Design and evaluate machine learning and DSP algorithms that meet strict power, memory, and latency constraints on embedded hardware.

  • Execute end-to-end ML workflows, including exploratory data analysis, feature engineering, model training, evaluation, and optimization.

  • Partner closely with hardware, firmware, and product teams to ensure seamless integration of models into the full system.

Job description

About Gridware
Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

Role Description:
We are seeking a Senior Applied Scientist, On-Device ML to design models that operate on multimodal time-series sensor data in highly resource-constrained environments. You will develop algorithms that balance accuracy with strict power and memory limits, helping advance the next generation of Gridware’s edge intelligence. This role blends applied research, model optimization, and low-level implementation in collaboration with hardware and firmware teams. 
Responsibilities
  • Execute end-to-end ML workflows, including exploratory data analysis, feature engineering, model training, evaluation, and optimization. 
  • Design and evaluate machine learning and DSP algorithms that meet strict power, memory, and latency constraints on embedded hardware. 
  • Conduct research and literature reviews on edge ML, resource-constrained inference, and efficient training techniques. 
  • Partner closely with hardware, firmware, and product teams to ensure seamless integration of models into the full system. 
Required Skills
  • MS or PhD in Computer Science, Electrical Engineering, or a related technical field.
  • 3+ years of experience developing and deploying production ML models, on-device.
  • 3+ years of applied research experience in ML or algorithm development.
  • Hands-on experience working with physical sensors such as IMU, magnetometer, audio and modeling time-series data.
  • Strong foundation in ML architectures and on-device algorithm design for real-world systems.
Bonus Skills
  • Familiar with DSP algorithms and C/C++ for resource-constrained embedded systems. 
  • Experience porting ML models from Python frameworks to firmware-level implementations. 
  • Familiarity with edge ML tools, quantization, model compression, or on-device inference strategies. 
**At this time, Gridware is unable to provide visa sponsorship or immigration support for this role. We’re only able to consider candidates who are currently authorized to work in the country of employment without visa sponsorship now or in the future.**

This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!
 
Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law.
 
Benefits
Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) 
Paid parental leave 
Alternating day off (every other Monday)
“Off the Grid”, a two week per year paid break for all employees. 
Commuter allowance 
Company-paid training