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Engineer Phd Robotic Jobs (NOW HIRING)

Didi Labs

$46/hr

Recently completed or soon-to-complete PhD in Robotics, Computer Science, Electrical Engineering ... or a related field. * Research or Internship experience in one or more of the following: * Motion ...

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How much do engineer phd robotic jobs pay per year?

As of Sep 10, 2026, the average yearly pay for engineer phd robotic in the United States is $105,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What is the difference between Engineer Phd Robotic vs Mechanical Engineer?

AspectEngineer Phd RoboticMechanical Engineer
Required CredentialsPhD in Robotics or related field, specialized certificationsBachelor's or Master's in Mechanical Engineering, professional licenses
Work EnvironmentResearch labs, advanced development projects, academiaManufacturing, design firms, industrial settings
Industry UsageRobotics research, automation, AI integrationProduct design, machinery, systems engineering

Engineer Phd Robotic professionals focus on advanced research, development, and innovation in robotics and automation, often working in labs or academia. Mechanical Engineers have a broader application in designing and manufacturing mechanical systems across various industries. While both roles require engineering fundamentals, the PhD in Robotics emphasizes research and specialized knowledge, whereas Mechanical Engineering is more application-oriented.

Are robotic engineers in high demand?

Robotic engineers, including those with PhD qualifications, are in high demand due to the growing use of automation and robotics across industries such as manufacturing, healthcare, and logistics. They often require expertise in programming, control systems, and AI, and job opportunities are expected to increase as technology advances.

Can you get a PhD in robotic engineering?

A PhD in robotic engineering is a doctoral degree that involves advanced research in areas such as automation, control systems, and artificial intelligence. It typically requires completing coursework, passing qualifying exams, and conducting original research, often taking 3-5 years beyond a master's degree. This degree prepares individuals for research, development, and academic roles in robotics and related fields.

What jobs can I get with a PhD in engineering?

A PhD in engineering qualifies individuals for advanced roles such as research scientist, engineering professor, or R&D engineer in industries like aerospace, robotics, or energy. These positions often require strong analytical skills, proficiency with simulation tools, and the ability to lead innovative projects. Career options also include technical consulting, patent development, and leadership roles in engineering development teams.

What are popular job titles related to Engineer Phd Robotic jobs?

For Engineer Phd Robotic jobs, the most frequently searched job titles are:

Infographic showing various Engineer Phd Robotic job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.

Motion Planning Engineer (PhD, Intern)

San Jose, CA • On-site

DiDi Labs
5 - 10K employees
Learn more about DiDi Labsexternal

$46/hr

Full-time, Internship

Re-posted 9 days ago

Job description

About The Company
DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.
About The Role
We are seeking a motivated PhD graduate with a strong research background in motion planning, robotics, or autonomous systems. In this role, you will apply your expertise in algorithm design and system integration to help develop next-generation planning capabilities for autonomous vehicles.
Responsibilities
  • Implement novel solutions for Behavioral Planning, enabling high-level decision-making for lane changes, merges, yields, and multi-agent interactions.
  • Design and optimize motion planning algorithms that integrate geometry-based path reasoning and context-aware speed reasoning into smooth, safe trajectories.
  • Develop and improve core geometry and velocity planning systems to ensure feasibility, compliance, and comfort across diverse driving scenarios.
  • Model complex driving environments and agent behaviors to create a robust world representation for planning under uncertainty.
  • Formulate cost functions and optimization frameworks that balance safety, comfort, and efficiency in trajectory selection.
  • Analyze, test, and debug system performance through simulation and real-world data, conducting root-cause investigations and proposing enhancements.
  • Collaborate with researchers and engineers across Perception, Prediction, and Control to ensure an integrated, reliable autonomy stack.

Qualifications
  • Recently completed or soon-to-complete PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
  • Research or Internship experience in one or more of the following:
  • Motion planning algorithms (optimization, sampling, graph/search-based methods)
  • Behavioral planning and decision-making under uncertainty
  • Trajectory optimization and control
  • Multi-agent interaction modeling
  • Proven research ability demonstrated by publications in top-tier conferences (e.g., RSS, ICRA, IROS, CVPR, NeurIPS, CoRL).
  • Hands-on experience in C++ for implementing complex, real-time algorithms.
  • Excellent analytical and communication skills, with a collaborative mindset.
  • For Internship Applicants: This role offers a clear pathway, with top-performing interns receiving the opportunity to convert to a full-time engineer upon successful completion of the program.

The hourly rate for the Intern position in the selected city is $46. Interns will also be eligible for Intern benefits.
Applications are accepted on an ongoing basis. This posting is for an existing vacancy.
I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on https://v.didi.cn/AQnxlBa

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