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Perception Algorithm Engineer Jobs (NOW HIRING)

Nvidia

OR

$102.40K - $134.90K/yr

In this role, you will partner with cross-functional engineering leaders to architect and deliver advanced 3D world models that fuse map and perception data, enabling safe, intelligent navigation ...

General Atomics

Engineer VII

Poway, CA · On-site

$128.13K - $229.36K/yr

We are seeking a Perception Algorithms Lead to develop and deploy advanced algorithms for sensing ... Mentor engineers and establish best practices across perception algorithm development We recognize ...

Magna

Engineer I - Software Algorithm

Auburn Hills, MI · On-site

JOB SUMMARY The Computer Vision Algorithm Engineer role focused on ADAS perception that turns camera video feeds (image frames) into a clear understanding of the vehicle's surroundings. The work ...

Magna

Engineer I - Software Algorithm

Auburn Hills, MI · On-site

JOB SUMMARY The Computer Vision Algorithm Engineer role focused on ADAS perception that turns camera video feeds (image frames) into a clear understanding of the vehicle's surroundings. The work ...

Autonomous Solutions

Perception Engineer III

Mendon, UT · On-site

$100.98K - $117.81K/yr

Perception Engineers at ASI are responsible for designing, implementing, and deploying real-time ... Develop and deploy real-time perception algorithms using LiDAR, radar, cameras, and ultrasonic ...

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Perception Algorithm Engineer information

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$59.5K

$111.6K

$203K

How much do perception algorithm engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for perception algorithm engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

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.
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Perception Algorithm Engineer jobs near you
Infographic showing various Perception Algorithm Engineer job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, 9% Part Time, 1% Temporary, and 1% Nights. Highlights an 100% Physical job distribution, with an average salary of $111,632 per year, or $53.7 per hour.
Lead Algorithm Engineer, Map-Perception Fusion

Lead Algorithm Engineer, Map-Perception Fusion

Nvidia

Seattle, WA

$116.60K - $153.60K/yr

Full-time

Posted 4 days ago

Job description

Are you driven to shape the future of autonomous vehicles at scale? Join our DRIVE Road Structure, Online Mapping, and Context Fusion team and lead the development of next-generation self-driving technologies. In this role, you will partner with cross-functional engineering leaders to architect and deliver advanced 3D world models that fuse map and perception data, enabling safe, intelligent navigation across complex road systems in the U.S. and China. This is an opportunity to take technical ownership of critical systems and influence the direction of autonomous driving at the core of our platform.

What you'll be doing:

  • Lead Core Autonomous Driving Systems: Own the design, development, and evolution of systems that integrate cutting-edge perception and mapping technologies across diverse driving environments.

  • Architect Real-Time 3D World Models: Drive the creation of scalable, real-time 3D representations by fusing multi-modal sensor data and external sources to support robust planning and navigation.

  • Advance Mapless Driving Capabilities: Spearhead the development and processing of enriched bird's-eye-view (BEV) model outputs, reducing reliance on HD maps and enabling autonomy in highly dynamic urban environments.

  • Elevate Scenario Understanding: Define and implement approaches for static obstacle modeling, occupancy grids, and occlusion reasoning to improve environmental awareness and decision-making.

  • Cross-Functional Leadership: Collaborate closely with perception, planning, and platform teams; mentor engineers; and help align technical strategy across organizations.

  • Set Engineering Standards: Champion high-quality, production-grade code and enforce best practices aligned with automotive safety, reliability, and scalability requirements.

What we need to see:

  • PhD with 6+ years, MS (or equivalent experience) with 10+ years of relevant experience in Computer Science, Computer Engineering, or a related field.

  • Proven track record of leading complex software systems, ideally in robotics, autonomous vehicles, or related domains.

  • Strong expertise in system design, real-time processing, and scalable software architectures.

  • Demonstrated ability to drive technical direction, mentor engineers, and deliver results in ambiguous environments.

  • Excellent problem-solving, communication, and cross-team collaboration skills.

  • Experience with embedded or automotive-grade systems is highly desirable.

Ways to Stand Out from the Crowd:

  • Deep expertise in 3D geometry, computer vision, sensor calibration, or state estimation (e.g., Kalman or particle filters).

  • Experience leading real-time computer vision or perception systems in production environments.

  • Strong background in API design, software frameworks, and platform-level thinking.

At NVIDIA, we are committed to making autonomous driving a reality and believe this technology has the potential to save millions of lives. You will join a team of world-class innovators tackling one of the most impactful challenges of our time. With the scale, resources, and ambition to lead the industry, we are looking for leaders who can turn vision into reality. If you are passionate about building transformative technology and driving meaningful impact, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 30, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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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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