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Senior Perception Engineer Jobs in Oregon (NOW HIRING)

OR

$104.40K - $143.40K/yr

We are now looking for an extraordinary Senior Perception Engineer to develop and productize NVIDIA's autonomous driving solutions. As a member of our perception team, you will be driving E2E ...

OR · On-site

You are comfortable with and competent at working with a team of senior and junior engineers, can ... Design, build, and integrate onboard and off-board airborne perception capabilities to enable ...

Senior Fire Protection Engineer McMillen, Inc. is seeking a highly skilled Senior Fire Protection ... depth perception and ability to adjust focus. Compensation Package: * Pay Range: $140,000 - $230 ...

Senior Systems Software Engineer - Omniverse

OR · On-site +1

$122.40K - $161.30K/yr

We are looking for a Senior Systems Software Engineer to help build the next generation of AI ... Practical experience building or integrating robotics systems, whether in simulation, perception ...

Senior / Staff Software Engineer, Mapping

OR · On-site +1

$141K - $242K/yr

As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile ... Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive ...

OR · On-site

$122.40K - $161.30K/yr

We are looking for a Senior Localization Engineer for Autonomous Vehicles to join us. An always ... the horizon of perception. * Make sure our algorithms work well on large amounts of real and ...

OR · On-site

$104.40K - $137.90K/yr

You will be working closely with our perception and planning teams in providing a world model that ... Mentoring strong engineers within the team. * Make sure our algorithms work well on large amounts ...

OR

$141K - $242K/yr

As a Senior or Staff Software Engineer on the Localization team, you will be a domain expert ... Perception and Mapping teams to tightly couple map data and semantic landmarks into the ...

OR · On-site

Deliver reference architectures, optimized perception and planning pipelines, sample code, and ... Engage senior technical leaders-including Chief Architects, CTOs, and autonomy platform leads ...

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Showing results 1-20

Senior Perception Engineer information

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

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 are Senior Perception Engineers?

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 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 are the most commonly searched types of Perception Engineer jobs in Oregon? The most popular types of Perception Engineer jobs in Oregon are:
What are popular job titles related to Senior Perception Engineer jobs in Oregon? For Senior Perception Engineer jobs in Oregon, the most frequently searched job titles are:
Infographic showing various Senior Perception Engineer job openings in Oregon as of May 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Temporary. Highlights an 94% Physical, and 6% Hybrid job distribution.
Senior Machine Learning Engineer, Perception - Autonomous Driving

Senior Machine Learning Engineer, Perception - Autonomous Driving

Nvidia

$104.40K - $143.40K/yr

Full-time

Posted 12 days ago


Job description

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world.

We are now looking for an extraordinary Senior Perception Engineer to develop and productize NVIDIA's autonomous driving solutions. As a member of our perception team, you will be driving E2E solutions for perception modules that are responsible for online mapping - including road layouts, lane structures, boundaries, crosswalks, and other traffic components critical for driving without reliance on HD maps. You will be challenged to improve robustness and accuracy as well as efficiency of the solutions to fully enable autonomous driving anywhere and anytime.

What You'll Be Doing:

  • Designing end2end solutions for Perception and AV stack to enable road network detections across various driving environments from complex intersections to rural curvy roads to multi-level highways.

  • Applied research and development of innovative deep learning models for lane graph construction, road boundary detection, traffic element recognition, and other static-world tasks.

  • Develop generalizable approaches to support diverse ODDs and Country/region expansion

  • 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, labeling efficiency optimization, so that value of data is maximized

  • Leverage data simulation and augmentation for solving extreme scenarios

  • Productize the developed perception solutions by meeting product requirements for safety, latency, and SW robustness.

What We Need to See:

  • Minimum Requirement: PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.

  • 2+ years of technical leadership demonstrating high technical and organizational complexity is a big plus.

  • 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 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.

Ways to Stand Out from the Crowd:

  • Proven expertise in developing generalizable perception solutions for autonomous driving or robotics using deep learning with cameras.

  • Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real time applications.

  • Proven expertise in deep learning backed up by technical publications in leading conferences/journals.

  • Expertise with Transformers, BEV architectures, and modern static-world perception techniques.Experience in working on similar online mapping and complex road detection problems is a big plus.

Intelligent machines powered by AI are no longer science fiction. GPU Deep Learning has made it possible for self-driving cars to learn, perceive, and reason about the world. NVIDIA GPUs power the algorithms that enable both static world understanding and scalable perception across global road systems. Join us and help define the future of reliable, data-driven autonomous driving.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 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.

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