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Sensor Jobs in Berkeley, CA (NOW HIRING)

Sesame

Sensing Systems Engineer

San Francisco, CA · On-site

$175K - $280K/yr

Research, evaluate and recommend optimal sensor technologies and devices for various wearable applications, taking into account physical, electrical, and software capabilities along with cost ...

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 ...

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Showing results 21-40

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 Aug 8, 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 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 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 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.

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 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $75,705 per year, or $36.4 per hour.

Machine Learning Engineer - 3D Sensor Simulation

Zoox

Foster City, CA • On-site

$176K - $257K/yr

Full-time

Re-posted 19 days ago

Job description

In this role, you will:
  • Research, implement, and optimize state of the art 3D rendering of sensor data, leveraging GenAI/ML and 3D graphics.
  • Develop realism metrics with V&V to show measurable impact of your improved sensor fidelity.
  • Collaborate with Perception and Safety teams to improve realism of sensor simulation for high fidelity synthetic data.
  • Improve rendering and ML inference tooling for generating realistic data at scale.

Qualifications
  • 2+ years of industry experience, and/or PhD, developing neural rendering techniques like Gaussian Splatting, NeRFs, or 3D reconstruction
  • 2+ years of experience developing software with Python and/or modern C++
  • Expertise with machine learning frameworks PyTorch or Tensorflow
  • Familiarity with 3D graphics algorithms, such as 3D geometry and camera models
  • Strong mathematical skills and understanding of 3D linear algebra and probabilistic techniques

Bonus Qualifications
  • Master's or PhD in computer science, mathematics, physics, or related field
  • Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender.
  • Experience in 3D rendering for simulation, games, cloud computing, or VFX

$176,000 - $257,000 a year
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
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.

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