1

Autonomy Perception Phd Research Jobs (NOW HIRING)

Maintain an understanding of related research fields including machine learning, end-to-end learned ... PhD or masters degree in a relevant, highly technical field (e.g. robotics, computer science ...

Maintain an understanding of related research fields including machine learning, end-to-end learned ... PhD or masters degree in a relevant, highly technical field (e.g. robotics, computer science ...

What you'll do As a PhD intern, you will: * Collaborate with research scientists to advance methods ... and multimodal perception, Representation learning * Experience conducting experiments and ...

... for current PhD students ready to bring their research into the real world and help shape the ... building autonomous systems that can reason, plan, use tools, and act on behalf of hundreds of ...

We are seeking a contract applied research scientist specializing in audio perception. This role is ... PhD degree or equivalent experience - Experience with science outreach programs Apply online for ...

next page

Showing results 1-20

Autonomy Perception Phd Research information

See salary details

$37K

$106K

$142.5K

How much do autonomy perception phd research jobs pay per year?

As of Sep 11, 2026, the average yearly pay for autonomy perception phd research in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What is an autonomy perception PhD researcher?

An Autonomy Perception PhD Researcher is a doctoral-level researcher who specializes in studying how autonomous systems, such as self-driving cars or robots, perceive and interpret their surroundings. Their work often involves developing algorithms and models that enable machines to process sensor data and make real-time decisions based on their environment. This research is crucial for improving the safety, reliability, and efficiency of autonomous technologies. Typically, these researchers work in academia, industry research labs, or technology companies focusing on robotics, artificial intelligence, or autonomous vehicles.

What are the typical collaboration opportunities for someone in an autonomy perception PhD research role?

Professionals in Autonomy Perception PhD Research roles often collaborate closely with multidisciplinary teams, including robotics engineers, software developers, and data scientists. These collaborations are essential for integrating perception algorithms into autonomous systems, validating research findings, and sharing expertise to solve complex, real-world problems. Regular meetings, joint experiments, and co-authorship of research papers are common, offering valuable opportunities to expand your professional network and gain cross-functional insights. This collaborative environment fosters both personal growth and the advancement of cutting-edge technology.

What are the key skills and qualifications needed to thrive as an autonomy perception PhD researcher, and why are they important?

To thrive as an Autonomy Perception PhD Researcher, you need advanced knowledge in robotics, computer vision, machine learning, and a PhD in a related field. Familiarity with technical tools such as ROS (Robot Operating System), Python, C++, and relevant simulation environments or deep learning frameworks is typically required. Critical thinking, problem-solving, and the ability to communicate complex technical concepts clearly are essential soft skills for this role. These competencies enable researchers to drive innovation, publish impactful findings, and develop cutting-edge perception systems for autonomous technologies.

What is the difference between Autonomy Perception Phd Research vs Autonomy Perception Engineer?

AspectAutonomy Perception Phd ResearchAutonomy Perception Engineer
Required CredentialsPhD in relevant field, research experienceBachelor's or Master's in engineering or related field, some research experience
Work EnvironmentAcademic or research institutions, labsIndustry, R&D departments, technology companies
Employer & Industry UsageUniversities, research centers, government agenciesTech companies, automotive, robotics firms
Common Search & ComparisonResearch focus, academic rolesPractical application, product development

Autonomy Perception Phd Research roles primarily involve academic research, theoretical analysis, and advancing knowledge in perception autonomy. In contrast, Autonomy Perception Engineers focus on applying perception algorithms to real-world autonomous systems, emphasizing practical implementation and product development.

What are popular job titles related to Autonomy Perception Phd Research jobs?

For Autonomy Perception Phd Research jobs, the most frequently searched job titles are:

Director, Autonomy Perception

OR • On-site, Remote

May Mobility
Urban Transit Systems • 11 - 50 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 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.