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Remote Mechanical Engineer Robotics Jobs in Portland, OR

McKinstry

Construction Account Executive

Portland, OR · On-site +1

$93K - $155K/yr

Five (5) years of experience with a mechanical or electrical construction contractor, engineering ... McKinstry Moves onsite gyms or reimbursement for remote workers See benefit plan documents for ...

Chock Barhoum LLP

Litigation Paralegal

Portland, OR · On-site +1

Litigation Paralegal - Tech-Forward, Team-Centric Career (Hybrid Flex/Remote) Are you an ... We don't just "allow" work-life balance; we engineer it through smarter systems, collaborative ...

Eaton

Project Manager - Hyperscale

Wilsonville, OR · Remote

$99K - $145K/yr

This remote position is available to candidates located within the United States. What you'll do ... This position is heavily involved in the electrical and mechanical details of major strategic ...

New

Clio

Senior Product Manager, Certification

Vancouver, WA · On-site +1

$132K - $174K/yr

This role can be worked from remote US or Remote Canada, or twice per week from our HUB offices ... Ship and launch features end-to-end in close partnership with Engineering, Design, and legal SMEs.

Tidal Vision

Sales Executive

Vancouver, WA · On-site +1

$90K - $120K/yr

Remote, must be located in the Vancouver, WA/Portland, OR area SALARY RANGE: $90,000-$120,000/yr ... Mechanical aptitude and problem-solving mindset. * High attention to detail and organization.

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All JobsMechanical Engineer Robotics JobsRemote Mechanical Engineer Robotics JobsRemote Mechanical Engineer Robotics Jobs in Portland, OR

Remote Mechanical Engineer Robotics information

See Portland, OR salary details

$48.3K

$109.1K

$176.6K

How much do remote mechanical engineer robotics jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote mechanical engineer robotics in Portland, OR is $109,103.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,400.00 and $134,200.00 per year, depending on experience, location, and employer.

What does a remote mechanical engineer in robotics do?

A Remote Mechanical Engineer in Robotics designs, analyzes, and improves the mechanical systems and components of robots while working from a remote location. They use CAD software to create models, collaborate with cross-functional teams, and help ensure that robotic systems are efficient, reliable, and meet project requirements. This role often involves problem-solving, prototyping, and coordinating with electrical and software engineers to deliver fully integrated robotic solutions.

What are the key skills and qualifications needed to thrive as a remote mechanical engineer in robotics?

To thrive as a Remote Mechanical Engineer in Robotics, you need a solid background in mechanical engineering principles, robotics design, and a relevant degree such as a BS or MS in Mechanical Engineering. Familiarity with CAD software (like SolidWorks or AutoCAD), simulation tools, and experience with prototyping and robotics hardware are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate virtually are standout soft skills for this remote role. These skills and qualities ensure innovative, precise robotics designs and smooth teamwork despite geographical distance.

How do remote mechanical engineers in robotics collaborate effectively with cross-functional teams?

Remote mechanical engineers in robotics often work closely with electrical engineers, software developers, and project managers to design and refine robotic systems. Collaboration is facilitated through regular video meetings, shared digital platforms (like CAD software and project management tools), and clear documentation. While remote work offers flexibility, it also requires proactive communication to stay aligned on design changes and project milestones. Successful remote engineers are comfortable using collaboration technologies and are adept at sharing updates and troubleshooting issues with teammates across different locations.

What is the difference between Remote Mechanical Engineer Robotics vs Remote Mechanical Engineer Automation?

AspectRemote Mechanical Engineer RoboticsRemote Mechanical Engineer Automation
Required CredentialsBachelor's in Mechanical Engineering, knowledge of robotics systems, programming skillsBachelor's in Mechanical Engineering, understanding of automation processes, control systems knowledge
Work EnvironmentDesigning and testing robotic systems, software integration, virtual collaborationDeveloping automated machinery, process optimization, remote troubleshooting
Employer & Industry UsageRobotics companies, manufacturing, research labsManufacturing, industrial automation, process industries
Search & Comparison IntentYesYes

Both roles involve mechanical engineering skills but focus on different applications. Remote Mechanical Engineer Robotics specializes in designing and developing robotic systems, while Remote Mechanical Engineer Automation focuses on automating industrial processes. Understanding these distinctions helps job seekers target the right roles based on their expertise and interests.

What are the most commonly searched types of Mechanical Engineer Robotics jobs in Portland, OR?

The most popular types of Mechanical Engineer Robotics jobs in Portland, OR are:

What are popular job titles related to Remote Mechanical Engineer Robotics jobs in Portland, OR?

For Remote Mechanical Engineer Robotics jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Remote Mechanical Engineer Robotics jobs in Portland, OR look for?

The top searched job categories for Remote Mechanical Engineer Robotics jobs in Portland, OR are:

What cities near Portland, OR are hiring for Remote Mechanical Engineer Robotics jobs?

Cities near Portland, OR with the most Remote Mechanical Engineer Robotics job openings:

Remote Mechanical Engineer Robotics jobs near you
Infographic showing various Remote Mechanical Engineer Robotics job openings in Portland, OR as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $109,103 per year, or $52.5 per hour.

Product Manager | Mandarin-speaking | Remote (Portland-based) | Competitive Salary + Benefits | Tech

White Bay

Portland, OR • On-site, Remote

Full-time

Posted 11 days ago

Job description

Product Manager | Mandarin-speaking | Remote (Portland-based) | Competitive Salary + Benefits | Tech



The Company

A high-growth technology organization operates at the intersection of advanced software, data, and digital commerce. This ambitious team is building sophisticated tools that help modern businesses scale more efficiently, combining automation with strategic human insight. With a strong emphasis on learning, accountability, and thoughtful execution, the organization values people who thrive in fast-moving environments and take ownership of meaningful outcomes.


The Role

They are seeking an AI Product Manager to design and deliver intelligent product capabilities that sit at the intersection of user needs, machine learning, and business strategy. This role owns the development of AI-powered features ranging from optimization and recommendations to reporting intelligence, automated workflows, and emerging generative experiences.

This position is well suited for someone who enjoys working hands-on with technical teams while staying deeply connected to real customer problems. The role partners closely with engineering, data science, and design to ensure AI systems deliver meaningful, trusted outcomes.


The Responsibilities


AI Product Strategy

  • Define and evolve the roadmap for AI-driven functionality, including prediction models, optimization systems, scoring frameworks, and insight-generation tools.
  • Translate complex customer challenges into machine learning opportunities, thoughtfully balancing automation with human oversight.
  • Collaborate with data science, engineering, and design to shape explainable and reliable AI behavior.


Cross-Functional Delivery

  • Work closely with engineering, data science, design, and operations teams to bring AI products from concept to production.
  • Align business partners, go-to-market teams, and leadership through clear priorities, metrics, and product narratives.
  • Lead discussions around feasibility, including data readiness, algorithmic tradeoffs, and performance constraints.


Model and Data Lifecycle

  • Partner with data science to define data needs, training approaches, evaluation methods, and success criteria for models.
  • Design and run experiments such as A/B tests, offline evaluations, and iterative model improvements.
  • Establish feedback loops between users, models, and outcomes to drive continuous improvement.


User Experience and Adoption

  • Ensure AI features are easy to use, dependable, and transparent for both customers and internal teams.
  • Shape workflows, interfaces, and explanations that build trust in AI-driven recommendations.
  • Balance automation with appropriate configurability, safeguards, and override mechanisms.


Product Execution

  • Own product documentation including requirements, specifications, user stories, and acceptance criteria.
  • Prioritize initiatives based on customer impact, data opportunity, technical feasibility, and strategic value.
  • Track success using metrics such as accuracy, lift, ROI, adoption, latency, and user satisfaction.


The Requirements

  • Bachelor’s degree in Computer Science, Engineering, AI/ML, Business, or a related field.
  • 2–5 years of product management experience, preferably working with data- or ML-driven products.
  • Proven ability to deliver products end-to-end in technical, data-rich environments.
  • Solid understanding of machine learning concepts including model training, evaluation, prediction systems, and optimization logic.
  • Familiarity with data pipelines, feature engineering, and experimentation frameworks.
  • Experience working in Agile environments with engineering and data science teams.
  • Strong communication skills with the ability to explain complex AI concepts to non-technical audiences.
  • Analytical mindset with experience using SQL, dashboards, or data analysis tools
  • Mandarin language skills to support cross-regional collaboration.



Preferred Qualifications

  • Experience in advertising technology, marketing platforms, retail media, or demand-side systems.
  • Exposure to generative AI, large language models, agent-based workflows, or retrieval-augmented systems.
  • Experience designing explainability, trust, safety, or model governance features.


Apply Now

This role offers the chance to build practical AI products that directly influence customer outcomes at scale. If they enjoy solving complex problems, collaborating across disciplines, and shaping how AI is used responsibly in real-world systems, they are encouraged to apply and be part of what comes next.


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