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Perception Algorithm Engineer Jobs in San Jose, CA

Imagry

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

The engineer will work on devising, developing, and integrating novel deep-vision-based perception algorithms at the heart of our autonomous driving system. This is an opportunity to work on cutting ...

Imagry

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

The engineer will work on devising, developing, and integrating novel deep-vision-based perception algorithms at the heart of our autonomous driving system. This is an opportunity to work on cutting ...

PlusAI

Perception Validation Engineer

Santa Clara, CA · On-site

$140K - $170K/yr

... perception algorithms on massive real-world and synthetic datasets. * Ground Truth Generation ... Programming: Strong proficiency in Python (especially NumPy, Pandas, Pytest) and/or C++ . * Data ...

New

PlusAI

Perception Validation Engineer

Santa Clara, CA · On-site

$140K - $170K/yr

... perception algorithms on massive real-world and synthetic datasets. * Ground Truth Generation ... Programming: Strong proficiency in Python (especially NumPy, Pandas, Pytest) and/or C++ . * Data ...

PlusAI

Perception Validation Engineer

Santa Clara, CA · On-site

$140K - $170K/yr

... perception algorithms on massive real-world and synthetic datasets. * Ground Truth Generation ... Programming: Strong proficiency in Python (especially NumPy, Pandas, Pytest) and/or C++ . * Data ...

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Showing results 21-40

All JobsPerception Algorithm Engineer JobsPerception Algorithm Engineer Jobs in San Jose, CA

Perception Algorithm Engineer information

See San Jose, CA salary details

$69.7K

$130.8K

$237.9K

How much do perception algorithm engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for perception algorithm engineer in San Jose, CA is $130,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,300.00 and $155,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a perception algorithm engineer, and why are they important?

To thrive as a Perception Algorithm Engineer, you need a strong background in computer vision, machine learning, and programming (typically C++ or Python), often supported by a degree in computer science, robotics, or a related field. Familiarity with tools like TensorFlow, PyTorch, OpenCV, and ROS, as well as experience with sensor data (e.g., LiDAR, cameras), is crucial. Strong analytical thinking, problem-solving abilities, and effective teamwork are standout soft skills for this role. These skills are vital to develop robust perception systems that enable autonomous vehicles and robots to interpret and interact safely with complex real-world environments.

What is a perception algorithm engineer?

A Perception Algorithm Engineer is a professional who develops algorithms that enable machines—such as autonomous vehicles or robots—to interpret and understand sensory data from their environment. This typically involves processing data from cameras, lidar, radar, and other sensors to identify objects, track movement, and understand surroundings. Perception Algorithm Engineers work with computer vision, sensor fusion, and machine learning techniques to create reliable and efficient perception systems. Their work is crucial in making machines aware of their surroundings and enabling them to respond appropriately. They often collaborate with hardware, software, and robotics teams to integrate their algorithms into real-world applications.

What are some common challenges faced by perception algorithm engineers when integrating their solutions into autonomous systems?

Perception Algorithm Engineers often encounter challenges when ensuring their algorithms perform reliably in diverse real-world environments, such as varying lighting, weather conditions, and sensor noise. Integrating algorithms with hardware requires close collaboration with robotics and systems engineering teams to optimize performance and latency. Additionally, balancing accuracy with computational efficiency is crucial, as perception modules must run in real time on embedded systems. Addressing these challenges involves rigorous testing, continuous model improvement, and effective cross-functional communication.
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Perception Algorithm Engineer jobs near you
Infographic showing various Perception Algorithm Engineer job openings in San Jose, CA as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $130,831 per year, or $62.9 per hour.

Senior Deep Learning Engineer - Perception

Imagry

San Jose, CA • On-site

$123K - $169K/yr

Full-time

Re-posted 15 days ago

Job description

Description
Senior Deep Learning Engineer, Computer Vision
imagry.E4.E30@comeetapply.com
Location: San Jose, CA , On Site
We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D team.
The engineer will work on devising, developing, and integrating novel deep-vision-based perception algorithms at the heart of our autonomous driving system.
This is an opportunity to work on cutting-edge deep vision methods, develop and innovate new ideas, and see them deployed on the road in our autonomous vehicles.
Position report to the Perception Team Leader in San Jose.
Responsibilities:
Cooperate with the SJ site Deep Learning Engineers, Safety Drivers & Test Engineers.
  • Work closely with deep learning engineers and tech leaders across the company, demonstrating flexibility and effective communication in a global, multi-time-zone environment.
  • Supervise complex data pipelines, from the collection stage, through annotation, to model training.
  • Design and optimize deep neural networks ( Requires innovative feature engineering).
  • Assume end-to-end responsibility over medium to long-term projects.
  • Devise and implement performance metrics.
  • Communicate, present, and visualize results.
  • Align the algorithms with the product needs.

Requirements
Requirements:
  • M.Sc. or equivalent work experience in CS, EE, Physics, or other quantitative fields from a leading university. Ph.D. - Advantage
  • A proven track record of at least 3 years of hands-on experience in developing deep learning algorithms
  • Experience and knowledge in computer vision and image processing algorithms, including classification, object detection, and/or semantic segmentation
  • In-depth, hands-on knowledge of deep learning fundamentals
  • Hands-on experience with deep learning frameworks such as PyTorch
  • Strong mathematical aptitude, with emphasis on probability, vector algebra, and geometry
  • Proficiency in Python programming
  • Experience in conducting long-term development and/or research projects, in either academia or industry
  • Proficiency in English, both written and spoken
  • Team player - Able to foster a positive and cooperative work environment by maintaining strong collaboration within the team and building productive relationships with other teams across the company
  • Eligible to work in the US

Skills that are considered an advantage:
  • Publications in top-tier journals or conferences on algorithms, computer vision, or deep learning
  • Basic proficiency in C++
  • Experience with Linux
  • Source control with git

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