We are seeking a highly motivated and skilled Mapping and Navigation Engineer with a strong focus on machine learning to join our growing team. In this role, you will be responsible for developing and implementing cutting-edge mapping and navigation solutions for ADAS. You will work on challenging problems related to Simultaneous Localization and Mapping (SLAM), state estimation, and optimization, leveraging the power of machine learning to achieve robust and accurate performance in complex environments.

Responsibilities:

• Design, develop, and implement advanced mapping and localization algorithms, including SLAM, visual odometry, and sensor fusion.
• Research and apply machine learning techniques to enhance the performance and robustness of mapping and localization systems. This may include deep learning for feature extraction, place recognition, or map understanding.
• Develop and optimize state estimation algorithms, such as Kalman filters, particle filters, and factor graphs, for accurate and reliable pose estimation.
• Implement and evaluate optimization techniques for map building and localization, including bundle adjustment and graph optimization.
• Work with various sensor data, including lidar, cameras, IMUs, WSS, and GPS, to create robust and accurate maps and localization systems.
• Develop and maintain software in C++ and/or Python.
• Collaborate with other engineers to integrate mapping and localization solutions into larger systems.
• Participate in code reviews and contribute to improving software quality.
• Stay up-to-date with the latest research and advancements in mapping, localization, and machine learning.
• Contribute to patent applications and publications.

Qualifications:

• M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field with a focus on mapping, localization, and machine learning.
• Strong understanding of fundamental concepts in SLAM, state estimation, optimization, and sensor fusion.
• Proven experience in developing and implementing mapping and localization algorithms.
• Proficiency in machine learning techniques and experience applying them to mapping and localization problems. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Strong programming skills in C++ and/or Python.
• Experience with robotics software frameworks (e.g., ROS) is a plus.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Excellent communication and presentation skills.

Bonus Points:

• Experience with specific sensor modalities (e.g., lidar, cameras, IMUs).
• Experience with real-time embedded systems.
• Contributions to open-source projects related to mapping and localization.
• Publications in top-tier conferences or journals.
• Experience with GPU programming (e.g., CUDA).

Estimated Min Rate: $70.00
Estimated Max Rate: $90.00

What’s In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• MetLife Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities

Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.

Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process.

For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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