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Senior Perception Engineer Jobs (NOW HIRING)

Apptronik

Senior Perception Learning Engineer

Sunnyvale, CA · On-site

$122K - $167K/yr

As a Senior Perception Learning Engineer, you will lead the research and development of advanced perception systems for humanoid robots, focusing on integrating data from various sensors to enhance ...

Seasats

Senior Perception Software Engineer

San Diego, CA · On-site

$180 - $250/hr

Senior Perception Software Engineer San Diego, CA (in-office) Salary Range: $180,000 - $250,000 + stock options, 401k matching, and other benefits Role Overview: Seasats' vehicles operate in highly ...

9 Mothers Corporation

Perception Engineer

Manor, TX · On-site

This is a senior individual contributor position. Essential Duties * Own the visual perception ... Strong engineering skills beyond modeling, including experience with PyTorch or JAX through to ...

New

Seasats

Senior Perception Software Engineer

San Diego, CA · On-site

$180K - $250K/yr

Senior Perception Software Engineer Location: San Diego, CA (in-office) Salary Range: $180,000 - $250,000 + stock options, 401k matching, and other benefits Role Overview: Seasats' vehicles operate ...

Apptronik

Senior Perception Learning Engineer

Sunnyvale, CA · On-site

$122K - $167K/yr

As a Senior Perception Learning Engineer, you will lead research and development of advanced perception systems for humanoid robots, focusing on perception, SLAM, object detection, and multi-sensor ...

Apptronik

Senior Perception Learning Engineer

Sunnyvale, CA · On-site

$122K - $168K/yr

JOB SUMMARY As a Senior Perception Learning Engineer, you will lead research and development of advanced perception systems that empower Apptronik's humanoid robots to understand and interact with ...

Seasats

Senior Perception Software Engineer

San Diego, CA · On-site

$180K - $250K/yr

Senior Perception Software Engineer Location: San Diego, CA (in-office) Salary Range: $180,000 - $250,000 + stock options, 401k matching, and other benefits Role Overview: Seasats' vehicles operate ...

Seasats

Senior Perception Software Engineer

San Diego, CA · On-site

$180K - $250K/yr

Senior Perception Software Engineer Location: San Diego, CA (in-office) Salary Range: $180,000 - $250,000 + stock options, 401k matching, and other benefits Role Overview: Seasats' vehicles operate ...

Apptronik

Senior Perception Hardware Engineer

Austin, TX

$109K - $146K/yr

JOB SUMMARY As a Senior Perception Hardware Engineer focusing on Sensor Calibration , you will own the critical link between the physical world and our robot's autonomy stack. Apollo relies on a ...

New

FieldAI

Senior Robot Perception Engineer

Irvine, CA · On-site +1

$70K - $300K/yr

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 ...

Apptronik

Senior Perception Hardware Engineer

Austin, TX · On-site

$109K - $146K/yr

JOB SUMMARY As a Senior Perception Hardware Engineer focusing on Sensor Calibration , you will own the critical link between the physical world and our robot's autonomy stack. Apollo relies on a ...

New

FieldAI

Senior Robot Perception Engineer

Irvine, CA · Remote

$70K - $300K/yr

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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Senior Perception Engineer information

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$59.5K

$126.6K

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How much do senior perception engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior perception engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a senior perception engineer?

Senior Perception Engineers are specialized professionals who design and develop advanced perception systems for machines, such as autonomous vehicles or robots. They work on algorithms and sensor fusion techniques to help machines interpret and understand their environment, enabling safe navigation and decision-making. Their role often involves collaborating with cross-functional teams, optimizing software for real-time performance, and integrating sensor data from cameras, LiDAR, radar, and other sources. Senior-level engineers typically have several years of experience and take on leadership responsibilities within perception teams.

What are the key skills and qualifications needed to thrive as a senior perception engineer?

To thrive as a Senior Perception Engineer, you need a strong background in computer vision, machine learning, and sensor data processing, typically supported by a degree in computer science, robotics, or a related field. Proficiency with tools such as Python, C++, ROS, and deep learning frameworks (e.g., TensorFlow or PyTorch) is essential, along with experience working with LiDAR, radar, and camera systems. Excellent problem-solving abilities, collaboration, and strong communication skills help you tackle complex challenges and integrate seamlessly with multidisciplinary teams. These skills ensure the development of robust perception systems critical for the safety and performance of autonomous vehicles or robotic platforms.

How does a senior perception engineer typically collaborate with cross-functional teams in autonomous systems development?

As a Senior Perception Engineer, you will work closely with experts in robotics, software engineering, and hardware integration to develop and refine perception algorithms for autonomous systems. Collaboration often involves frequent meetings with sensor teams to ensure data quality, as well as alignment with planning and controls engineers to guarantee that perception outputs meet system requirements. You may also participate in code reviews, joint debugging sessions, and design discussions to ensure seamless integration of perception modules. This cross-disciplinary teamwork is essential for building reliable and robust autonomous solutions.

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

AspectSenior Perception EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in perception algorithmsBachelor's/Master's in CS, EE, or related; strong background in image processing and algorithms
Work EnvironmentAutonomous vehicles, robotics, AI systemsImage analysis, machine learning, AI applications
Employer & Industry UsageTech companies, automotive, roboticsTech firms, research labs, automotive
Common Search & ComparisonOften compared due to overlapping skills in perception and visionRelated but more focused on visual data processing

While both roles involve working with perception and visual data, a Senior Perception Engineer typically focuses on integrating perception systems into autonomous platforms, whereas a Computer Vision Engineer specializes in developing algorithms for image and video analysis. The roles often overlap but differ in application focus and industry usage.

What cities are hiring for Senior Perception Engineer jobs?

Cities with the most Senior Perception Engineer job openings:

What are the most commonly searched types of Perception Engineer jobs?

The most popular types of Perception Engineer jobs are:

What states have the most Senior Perception Engineer jobs?

States with the most job openings for Senior Perception Engineer jobs include:

Senior Perception Engineer jobs near you

Senior Perception Learning Engineer

Apptronik

Sunnyvale, CA • On-site

$122K - $167K/yr

Full-time

Re-posted 8 days ago

Job description

Job Summary:
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. As a Senior Perception Learning Engineer, you will lead the research and development of advanced perception systems for humanoid robots, focusing on integrating data from various sensors to enhance autonomy and human-robot interaction.
Responsibilities:
• Lead the design, development, and optimization of perception pipelines for humanoid robots, including object detection, tracking, segmentation, pose estimation, and scene understanding.
• Develop multi-sensor fusion frameworks that integrate cameras, LiDAR, depth sensors, and IMUs for robust real-time perception in dynamic human-centered environments.
• Architect and maintain scalable data pipelines, training infrastructure, and inference frameworks to accelerate model development, evaluation, and deployment.
• Drive research and deployment of deep learning models optimized for humanoid locomotion, manipulation, and human-robot interaction.
• Implement performance profiling, regression testing, and telemetry systems to ensure perception modules meet strict latency, accuracy, and reliability requirements on edge devices.
• Collaborate with planning, control, and hardware teams to define perception-to-action interfaces, ensuring real-time compatibility with locomotion and manipulation pipelines.
• Guide the integration of synthetic data (e.g., simulation frameworks like IsaacSim) with real-world datasets to enhance model generalization and robustness.
• Mentor junior engineers and contribute to best practices in code quality, model versioning, reproducibility, and deployment.
Qualifications:
Required:
• MS/PhD in Computer Science, Robotics, Computer Engineering, or related field.
• 3-5+ years of experience building and deploying perception systems for robotics, autonomous vehicles, or real-time vision applications.
• Strong background in deep learning for computer vision, with practical expertise in detection, segmentation, multi-object tracking, and 3D perception.
• Hands-on experience with modern AI frameworks (PyTorch, JAX, TensorFlow) and computer vision / multi-modal libraries such as OpenCV, Detectron2, YOLO, and foundation models for perception and language (e.g., SAM, CLIP, DINOv2, Flamingo)
• Proficiency in Python and modern C++, with strong software engineering fundamentals (version control, testing, CI/CD).
• Deep understanding of 3D geometry, camera models, and probabilistic estimation (EKF/UKF, SLAM, VIO).
• Experience deploying optimized models on edge hardware (GPU/NPU/embedded platforms) under compute, latency, and thermal constraints.
• Track record of shipping ML/Perception systems from R&D into production robotics platforms.
Preferred:
• Experience with humanoid robots, bipedal locomotion, and manipulation tasks.
• Strong classical computer vision skills (geometry-based methods, feature extraction) complementing deep learning approaches.
• Expertise in model acceleration, quantization, or compression (TensorRT, ONNX Runtime).
• Familiarity with real-time frameworks and middleware such as ROS 2, GStreamer, or zero-copy pipelines.
• Knowledge of synthetic data generation and domain adaptation techniques for training perception models.
• Contributions to open-source robotics or vision software stacks.
Company:
Apptronik is a robotics company that designs and builds humanoid robots for various real-world applications. Founded in 2016, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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