Robotics Research Engineer

Dearborn, MI, United States

Ford Motor Company

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Robotics Research Engineer 

As part of Ford Motor Company’s Research & Advanced Engineering division, Digital Systems develops and implements cutting-edge technologies that will transform our business to help build a better world, where every person is free to move and pursue their dreams. Our team develops integrated hardware and software solutions leveraging state-of-the-art technologies for both internal and customer-facing applications. As vehicles become more autonomous, we want to deliver better ways for vehicles to drive efficiently and harmoniously with each other, the environment, and the traffic flows.  To accomplish this goal, we need to combine ADAS, traffic data, road data, high speed communications and user experience. 

The Automation team is seeking an innovative Robotics Research Engineer to develop and implement robotic solutions to assist in transforming Ford’s businesses. Specifically, this engineer will be responsible for developing vehicle platforms that enable safety-critical closed-loop wireless connections between vehicles and infrastructure

What you'll do...

As a Robotics Research Engineer, you will work in areas such as:

  • Wireless network design and control for efficient organization and backhaul of data across many disparate sources
  • Coordination of multiple wireless protocols in unison to enable safety-critical closed-loop systems
  • Standards development for maintaining communication API's with the vehicle
  • Planning, controlling and coordinating the motion of a heterogenous fleet of robots in semi-structured and dynamic environments with distributed sensing
  • Using advanced compute systems to solve scheduling problems
  • Object/people classification/recognition in environments with non-uniform lighting and incorporating associated models of uncertainty in motion planning and interaction decision making
  • Vision-based safety enhancement/enforcement in industrial settings
  • Visual inspection of vehicles for abnormality detection/identification

 

The ideal candidate for this position will be provably familiar with methods to address at least one of these areas and is motivated to push the frontier in their domain. You will be given the opportunity to develop and lead both university and industrial partnerships and programs. As our newest member, you may choose to interact with vendors, visit trade-shows, supervise interns and identify new challenges to tackle.

You'll have... 

  • Bachelor’s degree in Robotics, Computer engineering, Electrical Engineering, Computer Science or related field
  • 3+ years of relevant experience in developing algorithms and a working knowledge of computational complexity analysis.(coursework, internships , Research and Co-ops included)
  • 1+ years of relevant experience in developing end-to-end wireless communications systems. (coursework, internships , Research and Co-ops included)
  • 1+ years of experience in at least one of the following: SLAM, control of (non)-holonomic dynamic systems, pattern matching and recognition, use of DNNs for perception. (coursework, internships , Research and Co-ops included)
  • 3+ years of experience with programming languages such as C++ and Python (coursework, internships , Research and Co-ops included)

Even better, you may have...

  • Master’s degree in Robotics, Computer engineering, Electrical Engineering, Computer Science or related field
  • Proven innovativeness through research publication in AI/perception/robotics-related topics 
  • Business acumen and comfortable analyzing financial viability of projects
  • Strong written and oral skills along with the ability to communicate ideas to those who may have limited theoretical background in the area
  • Ability to work both independently as well as a member of a multi-disciplinary team
  • Ability to deliver results and be nimble to adapt to changing priorities and deadlines

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

 

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

 

• Immediate medical, dental, and prescription drug coverage

• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more

• Vehicle discount program for employees and family members, and management leases

 

• Tuition assistance

• Established and active employee resource groups

• Paid time off for individual and team community service

• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day

• Paid time off and the option to purchase additional vacation time. 

 

For a detailed look at our benefits, click here:

https://fordcareers.co/GSR-HTHD

 

Visa sponsorship is available for this position. 

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: APIs Classification Computer Science Engineering Industrial Python Research Robotics SLAM

Perks/benefits: Career development Flex hours Flex vacation Health care Medical leave Parental leave

Region: North America
Country: United States
Job stats:  6  0  0

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