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Perception Engineer Remote Jobs in Oregon (NOW HIRING)

Machine Learning Engineer, Autonomy

OR · On-site +1

$113K - $202K/yr

... perception stack for Blue River's autonomous tractor initiative. The hire will be responsible for ... Remote in the United States * Visa sponsorship : Open to visa sponsorship. Job Responsibilities A ...

New

... perception to control in over 300 autonomous vehicle designs. We are a mid-sized company with an ... Remote working + Home Office Stipend to cover the costs of working from home. * Flexible Paid Time ...

Senior Manager, Simulation

Salem, OR · On-site +1

$208K - $324K/yr

Develop your engineers: set clear expectations, create growth opportunities, and build a team ... fully remote, with up to one week of travel per month. The final salary offered to a successful ...

Senior Manager, Simulation

Salem, OR · On-site +1

$208K - $324K/yr

Develop your engineers: set clear expectations, create growth opportunities, and build a team ... fully remote, with up to one week of travel per month. The final salary offered to a successful ...

... engineering applications, I2X is ready to offer you the chance to make a real-world impact in your ... for remote. Responsibilities: * Perform finite element and classical stress analysis of the ...

Perception Engineer Remote information

What does a perception engineer do?

A Perception Engineer designs and implements systems that allow machines, such as autonomous vehicles or robots, to interpret and understand their environment using sensors like cameras, LiDAR, or radar. They develop algorithms for object detection, classification, and tracking to enable real-time decision-making. Perception Engineers often work with machine learning, computer vision, and sensor fusion technologies to improve the accuracy and reliability of these systems. Working remotely, they collaborate with cross-functional teams using online tools and platforms. This role is critical in advancing autonomous systems and robotics.

What are the key skills and qualifications needed to thrive as a perception engineer remote, and why are they important?

To thrive as a Perception Engineer (Remote), you need a strong background in computer vision, machine learning, and sensor fusion, typically supported by a degree in computer science, robotics, or a related field. Proficiency in programming languages like Python and C++, experience with frameworks such as TensorFlow or PyTorch, and familiarity with tools like ROS are commonly required. Excellent problem-solving skills, effective communication, and the ability to work independently are vital soft skills for remote collaboration. These competencies are crucial for developing robust perception systems that enable autonomous technologies to interpret and interact with their environment accurately.

What are some common challenges perception engineers face when working remotely, and how can they be addressed?

Perception Engineers working remotely often encounter challenges such as limited access to physical hardware (e.g., sensors, robots, or vehicles) for testing algorithms, and difficulties in real-time collaboration with team members across different time zones. To address these issues, many remote teams rely on advanced simulation tools, cloud-based platforms for data sharing, and regular virtual meetings to ensure alignment. Building strong communication habits and leveraging remote debugging tools can also help maintain productivity and foster effective teamwork.

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

AspectPerception Engineer RemoteComputer Vision Engineer
Required CredentialsBachelor's or higher in CS, Electrical Engineering, or related; experience with perception algorithmsBachelor's or higher in CS, Electrical Engineering, or related; strong programming skills in Python/C++
Work EnvironmentRemote, collaborative teams, often in autonomous vehicles, robotics, or AIRemote or on-site, working on image processing, object detection, and visual data analysis
Industry UsageAutonomous vehicles, robotics, AI startupsAutomotive, robotics, surveillance, and AI research

While both roles focus on perception and visual data, Perception Engineers Remote typically work on sensor data integration and perception algorithms in autonomous systems remotely, whereas Computer Vision Engineers focus more broadly on image processing and visual data analysis, often in research or product development settings.

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 job categories do people searching Perception Engineer Remote jobs in Oregon look for?

The top searched job categories for Perception Engineer Remote jobs in Oregon are:

What cities in Oregon are hiring for Perception Engineer Remote jobs?

Cities in Oregon with the most Perception Engineer Remote job openings:

Infographic showing various Perception Engineer Remote job openings in Oregon as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Machine Learning Engineer, Autonomy

Blue River Technology

OR • On-site, Remote

$113K - $202K/yr

Full-time

Posted 3 days ago

New


Job description

We're Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers - farmers, construction crews, and foresters - to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on the small stuff - pixel-by-pixel and task-by-task - leads to big gains. 

Blue River Technology aligns with John Deere's vision to "innovate on behalf of humanity" by quickly identifying and solving high-value, high-uncertainty challenges in AI, machine learning, computer vision, and robotics. BRT acts as a research and development flywheel, building not only new products but also new platforms that reliably create value for both Deere and its customers. From fully autonomous machines to highly precise farming equipment, BRT and Deere are partnering to create technical breakthroughs in industries like agriculture and construction. 

Our people are at the heart of what we do. Through cross-disciplinary collaboration, this mission-driven team is eager to define the new frontier of robotics. We are always asking hard questions, rapidly iterating, and getting our boots in the field to figure it out. We won't give up until we've made a tangible and positive impact on the planet!

Blue River Technology is based in Santa Clara, CA. 

Summary

We are seeking a highly skilled and innovative Machine Learning Engineer to join the team responsible for building the perception stack for Blue River's autonomous tractor initiative. The hire will be responsible for developing CVML models and training and testing pipelines to enhance system safety and performance in challenging production environments. This role will range from developing initial prototypes all the way to scaling for production. We're looking for a motivated and collaborative individual to help build the future of autonomous agriculture.

  • Employment Type: Full-Time
  • Work Location: Remote in the United States
  • Visa sponsorship: Open to visa sponsorship. 

Job Responsibilities

A combination, not necessarily all-inclusive, of the following:

  • Design, develop, and optimize CVML models and training pipelines for perception tasks including segmentation and depth estimation, with a focus on safety and performance in challenging production environments.
  • Own the full ML development lifecycle: from initial prototyping through to production-scale deployment on edge and cloud systems.
  • Collaborate closely with cross-functional engineering teams to integrate perception models into BRT's autonomous tractor initiative.
  • Evaluate and improve model performance through rigorous implementation, testing, and analysis of metrics across large-scale datasets.
  • Contribute to advancing autonomous agriculture by applying cutting-edge machine learning and computer vision techniques to real-world farming challenges.

Required Experience and Skills

  • Bachelor's or Master's Degree in Computer Science or a related field, graduate degree preferred.
  • 2 years of experience developing high-performance ML systems, training and optimizing DNNs for segmentation, depth, and related perception tasks with large-scale datasets.
  • Strong Python + PyTorch/TensorFlow skills.
  • Solid grasp of vision + deep learning fundamentals.
  • Strong communication skills to work closely with interdisciplinary teams to integrate models into edge and cloud systems.

Preferred Experience and Skills

  • Experience in building and deploying full-stack ML pipelines, from data ingestion to model training, testing, and deployment.
  • Edge deployment or real-time optimization know-how.
  • Experience in working with CVML & Robotics projects.
  • Experience with multi-view geometry or SLAM.
  • Experience in the vehicle autonomy space.
  • Experience in metrics implementation, analysis, and dashboarding.
  • Knowledge of robotics libraries such as ROS / ROS2.

At Blue River, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $113,000 - $202,000/year for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. This position is also eligible for an annual performance bonus and a competitive benefit package. During the recruitment process, we may identify an alternative role or level to which you are more suited. If your ideal role at Blue River differs from the advertised position, we will provide an updated pay range as soon as possible during the hiring process.

We're passionate about creating an inclusive workplace that promotes and values diversity. While we have more work to do to advance diversity and inclusion, we're investing in our programs, including recruiting, mentorship, career development, and learning & development, to ensure they support our Diversity, Equity, and Inclusion goals. We support each employee in living a full life, enabling a thriving career, and accomplishing a meaningful, challenging mission while collaborating with incredible people. We are dedicated to building a diverse and inclusive workplace, so if you're excited about this role but your experience doesn't align completely with the job description, we encourage you to apply anyway.

We are an equal-opportunity employer and do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation.