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Robotics Engineer Jobs in Portland, OR (NOW HIRING)

Robotics Tutor

Portland, OR ยท Remote

$40/hr

Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides students through building mechanical structures, wiring electronic circuits, programming ...

Software QA Intern

Portland, OR

$20.50 - $26.75/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

Software QA Intern

Vancouver, WA

$20.25 - $26.75/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

Software QA Intern

Gresham, OR

$20.25 - $26.75/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

VP of Security

Vancouver, WA ยท On-site +1

$240K - $300K/yr

... robot identity, security and access controls, and support for SOX ITGC and SOC 2 readiness across the enterprise. * Partner closely with IT, Engineering, Product, and Platform teams to embed secure ...

IT Project Manager

Vancouver, WA ยท On-site +1

$104K - $135K/yr

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is ... Work in concert with one or more Engineers to establish and maintain project templates and lessons ...

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Robotics Engineer information

See Portland, OR salary details

$30.8K

$112K

$179.2K

How much do robotics engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for robotics 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 does a Robotics Engineer do?

A Robotics Engineer designs, builds, and tests robots and robotic systems that are able to perform tasks typically done by humans. They work on integrating hardware and software to create machines that can automate processes in industries such as manufacturing, healthcare, and logistics. Their responsibilities often include researching new technologies, programming robotic systems, troubleshooting issues, and collaborating with other engineers. Robotics Engineers play a key role in advancing automation and improving efficiency and safety in various sectors.

What Does a Robotics Engineer Do?

A robotics engineer designs and often builds robots from their plans and ensures the correct processes are in place for the robot to run properly. They work with their clients to determine costs and design specifications, then they design software systems to control robotic systems; build, configure, and test robots; and automate processes to increase production and precision. Once the robotic system is in place, the robotics engineer helps troubleshoot any problems the clients have with the system.

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

To thrive as a Robotics Engineer, you need a strong background in mechanical engineering, electrical engineering, and computer science, typically backed by a relevant bachelor's or master's degree. Familiarity with programming languages like Python or C++, CAD software, and robotics platforms such as ROS (Robot Operating System) is essential. Problem-solving skills, creativity, and effective teamwork are standout soft skills in this field. These competencies are crucial for designing, building, and refining innovative robotic systems that meet complex technical and user requirements.

What types of projects do Robotics Engineers typically collaborate on with cross-functional teams?

Robotics Engineers often work closely with professionals from software development, mechanical engineering, and electrical engineering to design, build, and test robotic systems. Projects can range from automating manufacturing processes to developing autonomous vehicles or medical robots. Collaboration is essential, as engineers must integrate hardware and software components while ensuring systems meet safety and performance standards. Effective communication and teamwork are key to successfully bringing innovative robotics solutions from concept to reality.

What is the difference between Robotics Engineer vs Mechanical Engineer?

AspectRobotics EngineerMechanical Engineer
Required CredentialsBachelor's in Robotics, Mechanical, Electrical Engineering or related field; certifications in robotics or automationBachelor's in Mechanical Engineering; Professional Engineer (PE) license optional
Work EnvironmentDesigning, testing, and programming robotic systems in labs or manufacturing settingsDesigning and analyzing mechanical systems in various industries, including manufacturing, automotive, aerospace
Industry UsageRobotics companies, automation firms, manufacturingManufacturing, automotive, aerospace, product design

Robotics Engineers focus on designing and developing robotic systems, combining knowledge of mechanical, electrical, and software engineering. Mechanical Engineers have a broader scope, working on mechanical systems across multiple industries. While both roles require engineering degrees, Robotics Engineers often need specialized skills in programming and automation. The choice depends on your interest in robotics and automation versus general mechanical system design.

What are the most commonly searched types of Robotics Engineer jobs in Portland, OR? The most popular types of Robotics Engineer jobs in Portland, OR are:
What cities near Portland, OR are hiring for Robotics Engineer jobs? Cities near Portland, OR with the most Robotics Engineer job openings:
Software Engineer, ML Infrastructure

Software Engineer, ML Infrastructure

Serve Robotics

Vancouver, WA โ€ข On-site, Remote

$155K - $190K/yr

Full-time

Posted 13 days ago


Job description

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
As a Software Engineer on the Machine Learning (ML) Infrastructure team, you will help design, build, and maintain our petabyte-scale data and ML platform that powers data partnerships, ML research, and autonomy engineering. You will build and improve our data discovery capabilities and integrate with 3rd party annotation platforms. By collaborating with members of the autonomy and ml teams you will help us refine how we organize various data attributes and classifications. This role plays a pivotal role in helping the team leverage data from our rapidly expanding fleet of thousands of robots.
Responsibilities
  • Develop and maintain highly scalable data processing pipelines for data curation, annotation, search and ml feature extraction.
  • Build data discovery features for the platform.
  • Create and maintain search features such as natural language querying
  • Develop and maintain our orchestration and scheduling systems.
  • Maintain and evolve our data schemas such as unified data attribute system, scenario tagging and management
  • Build integrations with annotation providers to efficiently review large scale data preannotations
  • Collaborate with autonomy engineers to collect feedback, improve documentation, and run tutorials on platform features

Qualifications
  • BS or MS in computer science with focus in data engineering and/or machine learning
  • 3+ years of industry experience building, running and improving large-volume data processing, feature extraction, data annotation workflows
  • Experience building data mining and search capabilities
  • Experience with both Python and SQL is required
  • Solid understanding of data distributions and their impact on ML Models
  • Hands-on experience and good understanding of LLMs, VLMs, embeddings, vector databases
  • Experience with data annotation providers such as CVAT, LabelBox, LabelStudio, etc

What Makes You Stand Out
  • Experience with integrating cloud inference platforms for LLMs/VLMS (ChatGPT, Gemini, etc)
  • Experience working with Multi Modal data (Lidar, Camera, etc)
  • Experience with robotics systems
  • Experience optimizing large scale vector databases