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Robotics Perception Engineer Jobs in Portland, OR

Physical AI Senior Manager

Portland, OR · On-site

$134K - $177K/yr

Lead and mentor multi-disciplinary teams: data science, ML engineering, software and edge, vision ... Robotics and autonomy (e.g., industrial robotics, mobile robotics and AMRs, perception-to-action ...

Assembler I, Optics

Tualatin, OR

$16.75 - $20.50/hr

Operate robotic equipment and adhesive dispensers. Education/Experience & Skills: * High school ... perception, and the ability to focus on fine print. * Must wear required Personal Protective ...

Apply Early

Assembler I, Optics

Tualatin, OR · On-site

$16.75 - $20.50/hr

Operate robotic equipment and adhesive dispensers. Education/Experience & Skills: * High school ... perception, and the ability to focus on fine print. * Must wear required Personal Protective ...

Robotics Perception Engineer information

See Portland, OR salary details

$30.8K

$112K

$179.2K

How much do robotics perception engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for robotics perception engineer in Portland, OR is $111,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,600.00 and $134,700.00 per year, depending on experience, location, and employer.

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.
Product Validation Engineer

Product Validation Engineer

Net2Source (N2S)

Beaverton, OR • On-site

$50 - $54/hr

Other

Posted 4 days ago


Job description

Hello Everyone,


Our client is seeking a Product Validation Analyst to work with athletes to support the development of innovative products that blend hardware, software, and human performance. This role is responsible for performing hands-on system validation with athletes, regression testing, and issue triaging across frequent releases to ensure internal readiness, consistency, and quality. The ideal candidate is detail-oriented, technically curious, and comfortable working at the intersection of athlete experience and system behavior. You enjoy creating and executing structured testing and turning complex system behavior into clear, actionable insight for engineering teams.


Title: Product Validation Analyst

Location: Beaverton, OR (in-person required)

Pay Range: $50-54/hr on W2

Duration: 12 months


Job description:


What You Will Work On

• Plan, recruit, schedule and execute frequent, hands-on athlete testing of experimental athlete

systems for walking, running, and other real-world scenarios

• Conduct hands‑on testing with athletes and actively gather qualitative feedback, while working

effectively with early‑stage systems that may evolve or behave inconsistently

• Support both continuous, real-world testing and structured, protocol-driven validation to

ensure full requirements coverage

• Collect, analyze, and categorize system and usage data to identify trends, regressions, and

anomalies

• Capture and document unexpected or undesirable behaviors with clear steps to reproduce and

supporting data

• Perform issue triaging and initial root cause investigation to help direct issues to the appropriate

engineering subsystem team

• Perform regression testing across releases to ensure consistent function

• Leverage AI tools to support test execution, data analysis, and synthesis of complex system behavior into actionable insights

• Translate athlete feedback and qualitative perception into structured, comparable findings

• Manage multiple testing tracks in parallel, including ongoing athlete testing, structured protocol

validation, and timely analysis of incoming data

• Partner closely with engineering, research, and program teams to support release readiness

and quality gates


Who You Will Work With

You’ll collaborate with cross-functional partners including sports scientists, engineers, researchers,

QA, and program managers. You’ll work closely with teams responsible for system behavior, embedded

software, and athlete experience to ensure testing insights are clear, actionable, and trusted.


What You Bring

• Bachelor’s degree or equivalent combination of education, experience, or training

• 2+ years of experience in system testing, validation, or quality-focused technical roles

• Experience with human subject testing, field testing, or real-world system validation

• Experience testing or debugging electromechanical, robotic, or software-driven systems

• Builder and maker mindset with the ability to define testing approaches, create structure from

ambiguity, and operate independently without step-by-step guidance

• Strong ability to observe, isolate, and describe unexpected system behavior

• Experience analyzing data using tools such as MATLAB or Python

• Experience with embedded sensors, mechatronics, or hardware-software integrated systems


Nice to Have

• Background in biomechanics, human movement, or applied mechanics

• Experience with embedded sensors, mechatronics, or hardware-software integrated systems

• Skilled at using LLMs and modern AI tools such as Cursor or similar to accelerate testing, analysis,

and technical workflows

• High attention to detail and comfort executing repeatable test protocols

• Strong technical intuition and curiosity about system behavior

• Ability to work in fast-paced, iterative environments with frequent releases

• Team-first mindset with a bias toward clarity and rigor


Net2Source logo

About Net2Source

Sourced by ZipRecruiter

Net2Source is an employer-of-choice for over 2200+ consultants across the globe. We recruit top-notch talent for over 40 Fortune and Government clients coast-to-coast across the U.S. We are one of the fastest-growing companies in the U.S. and this may be your opportunity to join us!

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

New Brunswick, NJ, US

Year founded

2007