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Perception Engineer Jobs in California (NOW HIRING)

Perception Engineer

San Francisco, CA · On-site

$130K - $170K/yr

We are seeking a skilled Perception Engineer to join our software team and work on end‑to‑end perception and sensor‑fusion stack. You will develop, train, and deploy vision and sensor based ...

Perception Engineer

Huntington Beach, CA · On-site

$125K - $220K/yr

As a Perception Engineer, you will design, train, and deploy state-of-the-art vision and multi-sensor perception systems that enable navigation, targeting, and automatic target recognition on our ...

Senior Perception Engineer

Mountain View, CA · On-site

$181.30K - $245.30K/yr

We are looking for a Senior Perception Engineer to work on our classical perception algorithms stack. You will be part of a growing team focused on exploring how far Aeva's 4D FMCW LiDARs can push ...

Perception Engineer

San Francisco, CA · On-site

$130K - $175K/yr

Educational Background: BS/MS in Robotics, Computer Science, Electrical Engineering, or a relevant technical degree * Experience: 3+ years of experience in perception or signal processing * Technical ...

Senior Perception Engineer

Mountain View, CA · On-site

$122.40K - $168K/yr

We are looking for a Senior Perception Engineer to work on our classical perception algorithms stack. You will be part of a growing team focused on exploring how far Aeva's 4D FMCW LiDARs can push ...

Senior Perception Engineer

Mountain View, CA

$123.30K - $169.30K/yr

We are looking for a Senior Perception Engineer to work on our classical perception algorithms stack. You will be part of a growing team focused on exploring how far Aeva's 4D FMCW LiDARs can push ...

Senior Perception Engineer

Mountain View, CA · On-site

$181.30K - $245.30K/yr

We are looking for a Senior Perception Engineer to work on our classical perception algorithms stack. You will be part of a growing team focused on exploring how far Aeva's 4D FMCW LiDARs can push ...

Senior Perception Engineer

San Francisco, CA · On-site

$123.10K - $169.10K/yr

As a Perception Engineer, you will own the full stack of how our robots see and understand the world: from integrating cutting-edge camera hardware, to training production-grade deep learning models ...

Sr. Perception Engineer

Fremont, CA · On-site

$114.40K - $157.10K/yr

Description About the Role We are seeking a Senior Perception Engineer to develop advanced perception algorithms and systems for next-generation warehouse automation robots. The role focuses on ...

Lead Perception Engineer

Palo Alto, CA

$120.50K - $158.70K/yr

You'll collaborate daily with ML researchers, software engineers, robotics engineers, and hardware teams to design, build, and deploy perception and worldunderstanding systems that directly influence ...

Senior Perception Engineer

San Francisco, CA

$123.10K - $169.10K/yr

As a Perception Engineer, you will own the full stack of how our robots see and understand the world: from integrating cutting-edge camera hardware, to training production-grade deep learning models ...

We're looking for a Senior Robotics Perception Engineer to own and advance perception capabilities for our federal autonomy programs. In this role, you will lead development of the perception stack ...

Lead GNC and Perception Engineer Department: Software Engineering Employment Type: Full Time Location: Hawthorne, California Reporting To: Denise Brown Compensation: $142,000 - $235,000 / year ...

As a Perception Engineer, you will own the full stack of how our robots see and understand the world: from integrating cutting-edge camera hardware, to training production-grade deep learning models ...

We're looking for a Senior Robotics Perception Engineer to own and advance perception capabilities for our federal autonomy programs. In this role, you will lead development of the perception stack ...

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Perception Engineer information

See California salary details

$12

$55

$79

How much do perception engineer jobs pay per hour?

As of May 29, 2026, the average hourly pay for perception engineer in California is $55.26, according to ZipRecruiter salary data. Most workers in this role earn between $39.62 and $73.56 per hour, depending on experience, location, and employer.

What is a Perception Engineer job?

A Perception Engineer develops and optimizes computer vision and sensor-based systems to help machines interpret and understand their surroundings. This role involves working with data from cameras, LiDAR, radar, and other sensors to create models for object detection, tracking, and scene understanding. Perception Engineers commonly work in fields like robotics, autonomous vehicles, and augmented reality, utilizing machine learning and signal processing techniques. Their goal is to enhance a system’s ability to perceive and react to its environment accurately and efficiently.

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

To thrive as a Perception Engineer, you need a strong background in computer vision, sensor fusion, machine learning, and robotics, usually supported by a degree in electrical engineering, computer science, or a related field. Experience with programming languages like Python or C++, deep learning frameworks (such as TensorFlow or PyTorch), and familiarity with tools like ROS and OpenCV are commonly required. Analytical thinking, problem-solving, and effective communication are valuable soft skills that set top candidates apart. These skills are crucial for developing and optimizing perception systems that enable machines to understand and interact with complex real-world environments.

What are the typical daily responsibilities of a Perception Engineer?

As a Perception Engineer, your typical day involves designing, developing, and testing algorithms that help automated systems interpret sensor data from sources such as cameras, lidar, and radar. You’ll spend time collaborating with cross-functional teams, including hardware engineers and software developers, to integrate perception solutions into larger systems like autonomous vehicles or robotics platforms. Regular tasks include data collection and annotation, debugging, performance optimization, and participating in code reviews. This role often requires a balance of independent problem-solving and teamwork to ensure reliable and accurate perception capabilities in ever-changing environments.
What are the most commonly searched types of Perception Engineer jobs in California? The most popular types of Perception Engineer jobs in California are:
What job categories do people searching Perception Engineer jobs in California look for? The top searched job categories for Perception Engineer jobs in California are:
What cities in California are hiring for Perception Engineer jobs? Cities in California with the most Perception Engineer job openings:
Infographic showing various Perception Engineer job openings in California as of May 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 94% Physical, 5% Hybrid, and 1% Remote job distribution, with an average salary of $114,938 per year, or $55.3 per hour.

Perception Engineer

Brahma Consulting Group

San Francisco, CA

$200K - $300K/yr

Full-time

Posted 19 days ago


Job description

We are looking for a Perception Engineer with 2-10 years of experience to build autonomous construction vehicles. This role is for someone who is deeply passionate about robotics and building, and is excited to work on a mission to fix humanity's heartbeat: construction. We need someone who thrives at the intersection of hardware, autonomy, and real-world chaos, and is eager to see their code move 20 tons of steel.


What will you be doing?

  • Architect and build robust 3D perception pipelines for teleoperated and semi-autonomous heavy machinery.
  • Develop solid baseline algorithms and evolve them into advanced deep-learning models as necessary.
  • Build real-time object detection, classification, and tracking systems to enhance operator situational awareness.
  • Calibrate and fuse data across multiple modalities, ensuring spatial and temporal consistency under real-world conditions.
  • Optimize algorithms for real-time execution on embedded compute platforms, ensuring low latency, stability, and resilience to edge cases.