Robotics Research Engineer

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Fords Research and Advanced Engineering team takes new ideas from theory to reality. Every day we develop advanced energy management and propulsion technologies create cutting-edge materials and manufacturing processes and curate world-class cabin experiences that redefine what it means to drive a Ford.

In this position...

As a Robotics Research Engineer you will join Fords Research & Advanced Engineering organization to help design the future of automotive manufacturing and automation. You will work with peers in the Robotics & Automation Research team a multidisciplinary group of experts focused on applied research and development to develop scalable solutions that integrate with diverse sets of hardware and software. You will work with downstream peers in other departments such as Fords Manufacturing Technology Development group to deliver solutions that meet their needs and align with their strategy.

This role will be responsible for prototyping integration of various learning-based robotic control methods as well as helping to guide research that will define Fords long-term strategy for in-house model development. This role will focus on groundbreaking technologies with potential for significant business impact in a 3-to-5 year time horizon and work with key University Alliances to cultivate technology beyond the 5-year timeframe.

The ideal candidate for this position will possess a depth of knowledge related to developing and applying learning-based algorithms in the robotics and automation space and a breadth of knowledge related to the relevant domains of perception prediction motion planning and control. The ideal candidate will also possess a strong curiosity for discovering a customers needs and a keen eye for problems whose solutions will create value for the company.

What youll do...

• State-of-the-Art Robotics Research: Define plan and execute projects that will push the boundaries of what is possible in manufacturing automation. Leverage and grow your own expertise in modern learning algorithms to create robotics platforms that handle complex dexterous manipulation tasks while remaining responsive to the world around them. Make solutions that are robust and intuitive to the end user and that generalize and adapt with minimal effort.
• Collaboration and Fast Prototyping: Work together with a multidisciplinary team to quickly develop proof-of-concept platforms contributing your own unique insight and expertise. Communicate with downstream customers to anticipate their needs and align Fords research to fill the gaps before they arise. Cooperate with cross-functional teams to leverage Fords expansive knowledge base and connect your work to others to increase value.
• Technical Excellence & Innovation: Advance Fords intellectual property portfolio by writing new patent applications and contribute to the scientific community through publications in top-tier conferences and journals. Work with university partners to nurture advances in key robotics and automation concepts that will give us an advantage beyond a 5-year timeframe.

Youll have

• Masters degree in Electrical Mechanical Computer Engineering Robotics Computer Science or a related technical discipline and 3 years of experience developing and implementing learning algorithms for robotic systems or a Ph.D. in Electrical Mechanical or Computer Engineering Robotics Computer Science.
• 1 year experience of experience applying state-of-the-art learning algorithms such as foundational models (LLMs VLMs VNMs Vision-Language-Action models) Reinforcement Learning Transfer Learning or Imitation Learning.
• 1 year programming experience in C and Python
• Strong written and oral communication skills to convey ideas to those with limited theoretical background in the area in a concise manner

Even better you may have

• Ph.D. in Electrical Mechanical or Computer Engineering Robotics Computer Science or a closely related technical field
• Ability to work independently on deep research tasks as well as collaborate with a multi-disciplinary team to integrate proof-of-concepts
• An agile mindset that strives to deliver results while adapting to evolving priorities and deadlines
• Proven innovation through research publication in leading robotics and AI conferences (e.g. ICRA IROS RSS NeurIPS CVPR) and granted or pending patents in related fields
• Experience with one or more of the following areas: 3D perception; kinematics and control for 6 DoF robots; modern motion planning and controls algorithms; multi-agent systems; human-robot interaction
• Experience using simulation environments such as Isaac Sim Gazebo PyBullet or others to speed system development and validation
• Business acumen and comfort assessing the financial viability of proposed projects

You may not check every box or your experience may look a little different from what weve 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 builderor all of the above No matter what you choose we offer a work life that works for you including:
Immediate medical dental vision and prescription drug coverage
Flexible family care days paid parental leave new parent ramp-up programs subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement fertility treatments 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 Years Day
Paid time off and the option to purchase additional vacation time.

For more information on salary and benefits click here: position is a range of salary grades 6-8 .

Visa sponsorship is not 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. 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 the United States if you need a reasonable accommodation for the online application process due to a disability please call 1-.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location will be required to be onsite four or more days per week. #LI-Hybrid

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