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Phd Robotics Jobs in Oregon (NOW HIRING)

PhD or masters degree in a relevant, highly technical field (e.g. robotics, computer science, computer engineering, aerospace engineering, physics) * A demonstrated ability to solve complex autonomy ...

Senior AI Software Architect - Runtime

Hillsboro, OR · On-site

$141K - $191K/yr

Integrate the runtime stack into existing robotics and edge software ecosystems, to enable ... BSc, MSc, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a ...

Lead Machine Learning Engineer

OR · On-site +1

$102K - $134K/yr

Foundation Models in Robotics * Data Centric AI * A minimum of 4 years of industry experience ... PhD and/or published research in the described specialty domains. * Familiar with common post ...

... or a PhD with no previous professional experience; or equivalent experience. Excellent written ... Experience working with robotics and/or semiconductor equipment. Our commitment We believe it is ...

Senior GPU Functional Modeling Architect

OR · On-site +1

$129K - $175K/yr

... of computers, robots and self-driving cars that can perceive and understand the world. We are ... BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer ...

Showing results 21-40

Phd Robotics information

See Oregon salary details

$88.8K

$101.5K

$123.2K

How much do phd robotics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for phd robotics in Oregon is $101,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,200.00 and $107,800.00 per year, depending on experience, location, and employer.

What is the difference between Phd Robotics vs Robotics Engineer?

AspectPhd RoboticsRobotics Engineer
Required CredentialsPhD in Robotics, Computer Science, or related fieldBachelor's or Master's in Robotics, Mechanical, Electrical Engineering
Work EnvironmentResearch labs, academia, advanced R&D projectsIndustry settings, manufacturing, product development
Employer & Industry UsageUniversities, research institutions, high-tech companiesTech companies, manufacturing firms, startups
Common Search & ComparisonAcademic research, specialized rolesPractical application, product design

While a Phd Robotics focuses on advanced research, theoretical development, and academic contributions, a Robotics Engineer applies practical skills to design, develop, and implement robotic systems in industry settings. Both roles require a background in robotics, but their career paths and work environments differ significantly.

Can I do a PhD in robotics?

A PhD in robotics is a research-focused doctoral degree that typically requires a master's degree in engineering, computer science, or a related field. It involves advanced coursework, original research, and skills in areas like programming, control systems, and machine learning, often taking 3-5 years to complete.

How much does a PhD in robotics earn?

A PhD in robotics typically earns between $80,000 and $130,000 annually, depending on experience, industry, and location. Robotics researchers and engineers with a doctorate often work in advanced technology sectors, research institutions, or academia, where higher salaries are common for specialized skills and expertise in programming, machine learning, and automation tools.

Is a PhD in robotics worth it?

A PhD in robotics prepares individuals for advanced research, development, and academic roles in the field, often requiring strong skills in programming, control systems, and machine learning. While it can lead to higher-level positions and specialized expertise, the investment in time and cost should be weighed against industry demand and career goals.
Infographic showing various Phd Robotics job openings in Oregon as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $101,499 per year, or $48.8 per hour.

Director, Autonomy Perception

May Mobility

OR • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Job Summary

The Director of Perception will be responsible for leading the vision, strategy, and technical roadmap of the Autonomy Perception team at May Mobility.  The Director of Perception plays a key role in advancing May's core autonomy software stack, ensuring that May's unique, innovative MPDM architecture operates on high quality data from sensors and sensor processing algorithms.

This is a unique opportunity to sit at the crossroads of cutting-edge autonomous driving technology, transformative mobility, and the products that enable change in the transportation landscape of cities today.

This position reports to the Sr. Director of Autonomy and is responsible for providing world class leadership to our autonomy engineering managers and engineers, in order to propel their professional success as they develop industry-leading technology advancements.

Essential Responsibilities
  • Be a technical thought leader to champion May Mobility's mission, vision, values and company priorities to develop and execute autonomy strategy with fellow executives and engineering leaders.
  • Work cross-functionally with Vehicle Engineering, Product, and Operations leaders to solve and deploy solutions to autonomy perception challenges.
  • Deliver innovative and robust advances to May's perception technology including measurable improvements to object detection, classification, tracking, and prediction.
  • Ensure May's core perception technologies operate efficiently and effectively in commercial deployments, including supporting effective triage and resolution of issues related to this technology.
  • Maintain an understanding of related research fields including machine learning, end-to-end learned systems, tracking systems, multi-sensor fusion, and behavior prediction.
  • Lead design and specification of next-generation sensor suites to maximize May's perception system performance and optimize cost.  Work with systems and hardware teams to support prototyping and evaluating future systems.
  • Develop and maintain key performance indicators (KPIs) to track autonomy performance
  • Identify key gaps and challenges in May's autonomy perception technology. 
  • Construct and execute a roadmap to solve key challenges and work with other autonomy leaders to synchronize this roadmap with the roadmaps of other functions.
  • Identify monthly, quarterly and yearly milestones to iteratively improve performance in both the short and long term.
  • Take responsibility for the overall planning, execution, and success of complex technical projects and provide the team with technical leadership.
  • Help set perception team hiring targets. Interview, hire, and manage a diverse team of talented perception engineers and scientists.
  • Oversee the escalation of critical issues and opportunities within the autonomy team's leadership, driving clear recommendations to maximize the effectiveness of the team with respect to company priorities and strategy.
Skills and Abilities

Success in this role typically requires the following competencies:

  • Deep technical knowledge and demonstrated success in delivering innovative solutions in one or more of the fields of multi-sensor fusion, object detection, scene segmentation, tracking, and behavior prediction.
  • A demonstrated strong attention to detail with the ability to understand, track, and efficiently mitigate technical, integration, and personnel risks.
  • Demonstrated success in working in uncertain work environments with an ability to turn concepts and problems that are uncertain into effective, executable plans to resolve these issues.
  • A proven ability to get the best out of others, set goals and expectations for others, communicate clearly and honestly, and discuss difficult topics.
  • An ability to clearly and concisely communicate technical concepts including root cause analysis, technical challenges and their solutions, and results backed by data.
  • Proven ability to work with other peers in related technical areas to jointly solve larger system issues.
  • Proven ability to deliver under tight schedules.
Qualifications and Experience

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

Required

  • 10+ years of engineering experience
  • PhD or masters degree in a relevant, highly technical field (e.g. robotics, computer science, computer engineering, aerospace engineering, physics)
  • A demonstrated ability to solve complex autonomy problems as a principal investigator, staff or principal engineer, or director (or equivalent role)
  • 7+ years of software-focused engineering experience solving challenging robotics problems in mission critical software and/or robotic systems. 
  • Experience leading a team of 10+ engineers - setting goals, leading by example, handling challenging situations and failures
  • Previous experience as individual contributor successfully developing and deploying innovative solutions in the autonomous vehicle or related space

Desirable

  • 5+ years of management experience
  • Experience developing and/or using MPDM
  • Previous experience growing a team, crafting hiring plans, designing and conducting interviews, reviewing candidates, and making hiring decisions
  • Deep understanding of the challenges facing autonomous vehicles as well as the state of the art in autonomy.
  • Previous startup experience
Physical Requirements
  • Standard office working conditions which includes but is not limited to:
    • Prolonged sitting
    • Prolonged standing
    • Prolonged computer use
  • Travel required? -  Moderate: 11%-25%

Benefits and Perks

  • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. 
  • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
  • Rich retirement benefits, including an immediately vested employer safe harbor match.
  • Generous paid parental leave as well as a phased return to work. 
  • Flexible vacation policy in addition to paid company holidays.
  • Total Wellness Program providing numerous resources for overall wellbeing   
Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.

Want to learn more about our culture & benefits? Check out our website!

May Mobility is an equal opportunity employer.  All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis.   Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary.  Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.

Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.