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Robotics Perception Engineer Jobs in California (NOW HIRING)

Waabi

Senior / Staff Perception Engineer

San Francisco, CA · On-site

$158K - $269K/yr

To learn more visit: www.waabi.ai As a Senior Perception Engineer, you will be at the forefront of ... robotics. - Experience in working with platform teams and collaborating with research teams to ...

Meta

Robotics Manipulation Engineer

Fremont, CA · On-site

$208K/yr

The Robotics Engineer is responsible for driving the integration of robotics, electromechanical ... Holds an understanding of robotics technologies--covering sensing, robot perception, path planning ...

Scout AI

Robotics Software Engineer

Sunnyvale, CA

You'll work on perception, autonomy, control systems, and infrastructure that allow robots to operate reliably in complex environments. This role is ideal for engineers who enjoy solving real-world ...

KBR

Robotics Engineer

Mountain View, CA · On-site

$154K - $230K/yr

Key work areas include autonomy, navigation, perception, and robot user interfaces. This position is for a full-time robotics engineer to develop software systems for future lunar rovers. Applicants ...

Meta

Robotics Manipulation Engineer

Fremont, CA · On-site

$208K - $289K/yr

The Robotics Engineer is responsible for driving the integration of robotics, electromechanical ... Holds an understanding of robotics technologies-covering sensing, robot perception, path planning ...

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Robotics Perception Engineer information

What are Robotics Perception Engineers?

Robotics Perception Engineers are professionals who specialize in enabling robots to interpret and understand their environment using sensors and data processing algorithms. They work on developing and implementing computer vision, sensor fusion, and machine learning techniques so that robots can perceive objects, people, and surroundings. Their work is crucial for applications such as autonomous vehicles, drones, industrial automation, and service robots. By improving a robot's ability to 'see' and make sense of the world, they help create safer and more effective robotic systems.

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

AspectRobotics Perception EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or Electrical Engineering; experience with perception algorithmsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; strong programming skills in vision processing
Work EnvironmentRobotics labs, autonomous vehicle companies, industrial automationSoftware companies, tech startups, research labs focusing on image and video analysis
Industry UsageAutonomous vehicles, robotics, manufacturingHealthcare, security, consumer electronics, automotive

Robotics Perception Engineers focus on developing perception systems specifically for robots, integrating sensors and perception algorithms for navigation and interaction. Computer Vision Engineers primarily develop algorithms for interpreting visual data across various applications. While both roles require strong programming and understanding of perception, Robotics Perception Engineers specialize in sensor fusion and real-time processing within robotic systems, whereas Computer Vision Engineers work more broadly on image analysis and recognition tasks.

What are some common challenges faced by Robotics Perception Engineers when integrating new sensors into autonomous systems?

Robotics Perception Engineers often encounter challenges such as sensor calibration, data synchronization, and managing varying data quality when integrating new sensors. Ensuring that sensor data is accurately aligned in time and space is crucial for reliable perception in autonomous systems. Additionally, engineers must address the complexities of fusing data from multiple modalities (like cameras, LiDAR, or radar) while optimizing processing efficiency. Close collaboration with hardware and software teams is essential to troubleshoot integration issues and achieve robust, real-time perception.

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

To thrive as a Robotics Perception Engineer, you need strong expertise in computer vision, sensor fusion, machine learning, and proficiency in programming languages like C++ and Python, often supported by a degree in robotics, computer science, or a related field. Familiarity with tools and frameworks such as ROS (Robot Operating System), OpenCV, and deep learning libraries, as well as experience with sensors like LiDAR and cameras, is typically required. Excellent problem-solving abilities, teamwork, and adaptability help set standout professionals apart in this role. These competencies are crucial for enabling robots to accurately interpret and interact with their environment, leading to robust and reliable autonomous systems.
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Robotics Perception Engineer jobs near you
Infographic showing various Robotics Perception Engineer job openings in California as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution.
Senior Perception Engineer - Autonomous Vehicles

Senior Perception Engineer - Autonomous Vehicles

NVIDIA

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Posted 17 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

5th of 215 rated software companies

Job description

Job Summary:
NVIDIA is a leader in AI and deep learning technologies, and they are seeking a Senior Perception Engineer to develop and productize their autonomous driving solutions. The role involves building 3D obstacle perception solutions using multi-sensor fusion and deep learning, focusing on improving accuracy and efficiency for autonomous driving applications.
Responsibilities:
• Perception experts with application focus will be on multi-sensor fusion based deep learning model development for obstacle perception/fusion in complex driving environments.
• Applied research and development of innovative deep learning and multi-sensor fusion algorithms to improve output accuracy of 3D obstacle perception solutions under challenging and diverse scenarios.
• Identify and analyze the strength and weakness of the developed 3D obstacle perception solutions using large scale benchmark data (both real and synthetic) and improve them iteratively through KPI building and optimization. This includes careful data verification, model architecture design, understanding details of loss function engineering, and being capable of finding detailed ML bugs and iterating toward perfection.
• Productize the developed 3D obstacle perception solutions by meeting product requirements for safety, latency, and SW robustness, with a strong emphasis on production deep learning model development.
• Drive and prioritize data-driven development by working with large data collection and labeling teams to bring in high value data to improve perception system accuracy. Efforts will include data collection prioritization and planning, labeling prioritization, so that value of data is maximized.
Qualifications:
Required:
• 10+ years of hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems, and proficiency in using deep learning frameworks (e.g., PyTorch).
• Experience in multi-sensor fusion (cameras, ultrasonic sensors, radar) for perception tasks, particularly in high-resolution world reconstruction.
• Proven experience in production deep learning model development, including careful data verification, model architecture design, loss function engineering, and debugging ML models.
• Experience in data-driven development and collaboration with data and ground truth teams.
• Strong programming skills in python and/or C++.
• Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other.
• BS/MS/PhD in CS, EE, sciences or related fields (or equivalent experience)
Preferred:
• Experience on end-to-end deep learning model development is a plus.
• Proven expertise in developing perception solutions for autonomous driving or robotics using deep learning with multi-sensor input.
• Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real time applications.
• Good understanding of fundamentals of 3D computer vision, camera calibrations including intrinsic and extrinsic, and sensor fusion principles.
• Experience with development in CUDA language. The ability to implement CUDA kernels as part of training or inference pipelines.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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