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Perception Engineer Remote Jobs (NOW HIRING)

Slip Robotics

Robotics Perception Engineer

Atlanta, GA · On-site +1

The Role We are looking for a Robotics Perception Engineer to own the sensing and perception stack ... Remote team members are expected to have reliable high-speed internet access and a dedicated ...

Waymo

Systems Engineer, Perception

San Francisco, CA · On-site +1

$196K - $248K/yr

... Engineer. You will: * Use your knowledge of perception systems combined with Waymo's safety and ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Systems Engineer, Perception

Mountain View, CA · On-site +1

$196K - $248K/yr

... Engineer. You will: * Use your knowledge of perception systems combined with Waymo's safety and ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Senior System Test Engineer, Perception

San Diego, CA · On-site +1

$110.90K - $151.80K/yr

... Lead Manager, Perception Test Engineering. You will: * Develop test strategies and new ... when remote assistance is needed, across multiple platforms and in support of rapid ...

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Perception Engineer Remote information

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How much do perception engineer remote jobs pay per hour?

As of May 29, 2026, the average hourly pay for perception engineer remote in the United States is $55.99, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $74.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Perception Engineer (Remote), and why are they important?

To thrive as a Perception Engineer (Remote), you need a strong background in computer vision, machine learning, and sensor fusion, typically supported by a degree in computer science, robotics, or a related field. Proficiency in programming languages like Python and C++, experience with frameworks such as TensorFlow or PyTorch, and familiarity with tools like ROS are commonly required. Excellent problem-solving skills, effective communication, and the ability to work independently are vital soft skills for remote collaboration. These competencies are crucial for developing robust perception systems that enable autonomous technologies to interpret and interact with their environment accurately.

What are some common challenges Perception Engineers face when working remotely, and how can they be addressed?

Perception Engineers working remotely often encounter challenges such as limited access to physical hardware (e.g., sensors, robots, or vehicles) for testing algorithms, and difficulties in real-time collaboration with team members across different time zones. To address these issues, many remote teams rely on advanced simulation tools, cloud-based platforms for data sharing, and regular virtual meetings to ensure alignment. Building strong communication habits and leveraging remote debugging tools can also help maintain productivity and foster effective teamwork.

What does a Perception Engineer do?

A Perception Engineer designs and implements systems that allow machines, such as autonomous vehicles or robots, to interpret and understand their environment using sensors like cameras, LiDAR, or radar. They develop algorithms for object detection, classification, and tracking to enable real-time decision-making. Perception Engineers often work with machine learning, computer vision, and sensor fusion technologies to improve the accuracy and reliability of these systems. Working remotely, they collaborate with cross-functional teams using online tools and platforms. This role is critical in advancing autonomous systems and robotics.

What is the difference between Perception Engineer Remote vs Computer Vision Engineer?

AspectPerception Engineer RemoteComputer Vision Engineer
Required CredentialsBachelor's or higher in CS, Electrical Engineering, or related; experience with perception algorithmsBachelor's or higher in CS, Electrical Engineering, or related; strong programming skills in Python/C++
Work EnvironmentRemote, collaborative teams, often in autonomous vehicles, robotics, or AIRemote or on-site, working on image processing, object detection, and visual data analysis
Industry UsageAutonomous vehicles, robotics, AI startupsAutomotive, robotics, surveillance, and AI research

While both roles focus on perception and visual data, Perception Engineers Remote typically work on sensor data integration and perception algorithms in autonomous systems remotely, whereas Computer Vision Engineers focus more broadly on image processing and visual data analysis, often in research or product development settings.

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Perception Engineer Remote jobs near you
Infographic showing various Perception Engineer Remote job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $116,463 per year, or $56 per hour.
Robotics Perception Engineer

Robotics Perception Engineer

Slip Robotics

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision

Posted 13 days ago

Job description

About Slip Robotics
Slip Robotics is transforming freight logistics with autonomous robotic systems that load and unload trailers faster, safer, and more reliably than traditional methods. Our robots operate in demanding real-world environments alongside people and heavy cargo every day. We are a small, high-impact team based in Atlanta building products that are already deployed in production.
The Role
We are looking for a Robotics Perception Engineer to own the sensing and perception stack on our autonomous mobile robots. You will work across LiDAR, cameras, IMUs, and other sensor modalities to give our robots a reliable understanding of their environment-including trailers, pallets, dock infrastructure, and people. This is a hands-on role where your work ships to production robots operating in live freight facilities.
We need someone who has shipped software on real robots at real customer sites. You should have experience deploying perception systems that work reliably in unstructured or semi-structured environments, and you should be comfortable debugging sensor issues on physical hardware.
Key Responsibilities
  • Design, implement, and maintain the perception pipeline for autonomous mobile robots, including object detection, segmentation, localization, and mapping
  • Integrate and calibrate LiDAR, depth cameras, and other sensors on production robot platforms
  • Develop robust point cloud processing and filtering for reliable operation
  • Build and maintain sensor fusion systems that combine multiple modalities for accurate environment understanding
  • Create and manage datasets for perception model training, validation, and regression testing
  • Collaborate closely with navigation, controls, and hardware teams to ensure perception outputs meet downstream requirements
  • Debug and resolve perception failures on deployed robots using logs, recorded sensor data, and on-site investigation
  • Contribute to CI/CD pipelines for perception software testing and deployment

Requirements
  • 5+ years of professional experience building perception systems for physical robots at a robotics or autonomous vehicle company
  • Strong proficiency in C++ and Python
  • Deep experience with LiDAR processing (point cloud filtering, clustering, registration, SLAM)
  • Hands-on experience with camera-based perception
  • Production experience with ROS or ROS 2
  • Experience with sensor calibration (intrinsic, extrinsic, multi-sensor)
  • Familiarity with machine learning frameworks (PyTorch, TensorFlow) for perception tasks
  • Track record of deploying perception software to real robots in real environments-not just simulation
  • Strong debugging skills and comfort working with physical hardware
  • Excellent communication skills and ability to work in a small, fast-moving team
Nice to Have
  • Master's degree or higher in Computer Science, Robotics, or a related field
  • Experience with AWS IoT, Greengrass, or similar edge-cloud architectures
  • Experience in logistics, warehousing, or freight environments
  • Background in Gazebo or other physics simulation for sensor modeling
Remote Work Requirements
This role can be filled remotely. Remote team members are expected to have reliable high-speed internet access and a dedicated workspace. You will need to travel to our Atlanta facility periodically for hardware integration and testing. A company laptop and necessary peripherals will be provided.
Benefits
  • Competitive salary and equity in an early-stage robotics company
  • Comprehensive benefits including health, dental, and vision
  • Permissive time off policy
  • A small team where your work has direct, visible impact on shipped products
  • The chance to work on robots that are operating in production today-not a research project

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