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Autonomous Perception Engineer Jobs (NOW HIRING)

Astrolab

Lead GNC and Perception Engineer

Hawthorne, CA

$104K - $137K/yr

You will set system vision, make critical design decisions, drive execution, and ensure autonomy ... Manage and mentor a team of GNC and perception engineers * Work with avionics responsible engineers ...

Astrolab

Lead GNC and Perception Engineer

Hawthorne, CA

$142K - $235K/yr

You will set system vision, make critical design decisions, drive execution, and ensure autonomy ... Manage and mentor a team of GNC and perception engineers * Work with avionics responsible engineers ...

ISEE

Senior Perception Engineer

$107K - $146K/yr

ISEE is seeking an experienced full-time Senior Perception Engineer to join our team. Job duties ... Specifically: • Research, design, and develop algorithms for autonomous driving systems to solve ...

Aurelius Systems

Perception Engineer

San Francisco, CA · On-site

$130K - $170K/yr

Aurelius Systems is a VC backed defense tech startup building autonomous, edge deployed directed ... We are seeking a skilled Perception Engineer to join our software team and work on end‑to‑end ...

Forterra

Perception Engineer

Clarksburg, MD · On-site

$130K - $180K/yr

About Forterra Forterra is a leading provider of autonomous systems for ground-based movement in ... About The Role We are seeking talented and motivated Perception Engineers to join our growing ...

Actalent

Software Perception Engineer

Pittsburgh, PA

$50 - $62/hr

Software Perception Engineer Description Responsible for designing, implementing, and testing ... Artificial Intelligence/Autonomy: Have a working knowledge of mobile robotics perception for ...

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John Deere

Senior Perception Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

They are seeking a Senior Perception Engineer to develop and maintain perception capabilities ... Responsibilities : • Develop and maintain perception capabilities across the full autonomy stack ...

Teleo

Senior Perception Engineer

Palo Alto, CA · On-site

$123K - $168K/yr

Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment into autonomous robots. The Senior Perception Engineer will build perception algorithms and architecture to ...

Forterra, Inc.

Perception Engineer

Clarksburg, MD

$130K - $180K/yr

About Forterra Forterra is a leading provider of autonomous systems for ground-based movement in ... About The Role We are seeking talented and motivated Perception Engineers to join our growing ...

Teleo

Lead Perception Engineer

Palo Alto, CA · On-site

$120K - $158K/yr

Job Summary : Teleo, a Havoc company, is a robotics company focused on transforming construction heavy equipment into autonomous robots. The Lead Perception Engineer will develop perception ...

John Deere

Senior Perception Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

They are seeking a Senior Perception Engineer to develop and maintain perception capabilities for autonomous systems, working with C++ and applied machine learning models. Responsibilities : • ...

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Autonomous Perception Engineer information

How does an Autonomous Perception Engineer typically collaborate with other teams during the development of self-driving systems?

As an Autonomous Perception Engineer, you will regularly collaborate with teams such as software engineering, sensor hardware, and systems integration. Your expertise in computer vision and sensor fusion is crucial for translating raw sensor data into actionable insights, which are then used by the planning and control teams to guide vehicle behavior. Regular cross-functional meetings and joint debugging sessions are common, ensuring that perception modules integrate smoothly with the overall autonomous driving stack. This collaborative environment not only enhances technical solutions but also provides opportunities for professional growth and learning from multidisciplinary experts.

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

To thrive as an Autonomous Perception Engineer, you need a strong background in computer vision, machine learning, sensor fusion, and robotics, often supported by a degree in computer science, engineering, or a related field. Proficiency with tools and frameworks such as ROS, OpenCV, TensorFlow, and experience with LiDAR, radar, and camera systems are typically required. Strong problem-solving skills, collaboration, and clear communication set successful engineers apart in cross-disciplinary teams. These skills and qualities are crucial for developing reliable perception systems that ensure the safety and effectiveness of autonomous vehicles and robotics.

What is an Autonomous Perception Engineer?

An Autonomous Perception Engineer is a specialist who develops and implements systems that enable autonomous machines—such as self-driving cars, drones, and robots—to perceive and interpret their surroundings. Their work involves using sensors, computer vision, machine learning, and sensor fusion techniques to process data from cameras, lidar, radar, and other devices. This enables autonomous systems to detect objects, understand their environment, and make safe decisions in real-time. These engineers often collaborate with software, robotics, and hardware teams to ensure reliable and robust perception capabilities.
Infographic showing various Autonomous Perception Engineer job openings in the United States as of June 2026, with employment types broken down into 76% Full Time, 3% Part Time, and 21% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% 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 7 days ago

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.
Nvidia logo

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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