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Perception Algorithm Engineer Jobs in California

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 ... Develop algorithms for 3D perception tasks such as object detection, pose estimation, and scene ...

You'll focus on researching and building algorithms to detect, classify and understand unknown ... engineering culture. What You'll Do * Scoping architecture for the perception system core to ...

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123.70K - $169.90K/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 ...

Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR ... Work closely with engineers, researchers, and operators to define perception requirements and ...

Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR ... Work closely with engineers, researchers, and operators to define perception requirements and ...

Fall 2026 Intern, Perception

Mountain View, CA

$17.75 - $23.50/hr

You are currently pursuing a MS or PhD and have experience designing and implementing perception algorithms; exceptional candidates pursuing a BS considered. * You are a skilled software engineer ...

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Perception Algorithm Engineer information

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 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.

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 job categories do people searching Perception Algorithm Engineer jobs in California look for? The top searched job categories for Perception Algorithm Engineer jobs in California are:
What cities in California are hiring for Perception Algorithm Engineer jobs? Cities in California with the most Perception Algorithm Engineer job openings:
Infographic showing various Perception Algorithm Engineer job openings in California as of May 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Temporary. Highlights an 100% Physical job distribution.
Deep Learning Engineer - Perception Algorithms

Deep Learning Engineer - Perception Algorithms

Apple

Sunnyvale, CA

$147.40K - $272.10K/yr

Full-time

Medical, Dental, Retirement

Posted 23 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Do you have a passion for deep learning and computer vision problems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today!
Join our team of committed deep learning engineers in the Video Computer Vision group! We are a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision, Machine Perception, and Generative technologies across Apple products. Our shipped technologies power features in ARKit, MeasureApp, RoomScan, Accessibility, and multiple VisionPro features.
As a member of the Video Computer Vision group you will develop new technologies in the area of scene understanding and for Apple’s next generation products.
Description
We are looking for a skilled Deep Learning Engineer for our team. In this role, you will perform research and development work to design algorithms for challenging real world problems in the domain of scene understanding.","responsibilities":"Data curation for improving performance on perception tasks (training and evaluation sets).
Research, design, train, and evaluate machine learning/deep learning algorithms to address product goals.
Benchmark and analyze machine learning/deep learning algorithms to understand limitations.
Optimize algorithms for real time and low power constraints.
Support algorithm integration into Apple products and ensure quality user experience.
Collaborate with teams across Apple with multidisciplinary skills.
Preferred Qualifications
PhD degree with focus on machine learning, computer vision, robotics or MS with a comparable industry career of 3+ years.
Consistent track record of researching, inventing and/or shipping advanced machine learning algorithms.
Experience in language-guided image understanding tasks e.g. open-vocabulary image classification, language-guided visual grounding, open-vocabulary semantic segmentation, etc.
Experience with designing and training with pipelines which consume large (billion scale) data for training efficient vision language models for edge-devices. This includes data curation for training vision language models, writing efficient data loading pipelines, utilizing distributed GPU training framework.
Experience with advanced task-specific quality optimization techniques (few-shot learning, meta-learning, domain adaptation, knowledge-distillation, fine-grained learning) for improving network performance and handling specific failure cases (long-tailed distributions/under-represented classes) for downstream tasks.
Experience in designing and optimizing network towards inference efficiency.
Strong coding skills in ObjectiveC.
Excellent communication and collaboration skills.
Minimum Qualifications
BS in Computer Science or related field with a minimum of 3 years of relevant industry experience.
Experience in designing and training deep learning networks for image understanding tasks, e.g. image classification, object detection, semantic segmentation, panoptic segmentation, etc.
Experience in developing downstream perception algorithms with vision-language models, e.g. CLIP
Solid mathematical foundation of machine learning and deep learning techniques.
Strong coding skills in python (with pytorch) and C/C++. Solid mathematical foundation of machine learning and deep learning techniques.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

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Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976