- Design and manage hardware infrastructure for real-world robot learning platforms.
- Build the software stack for robot control platforms.
- Read AI and robotics textbooks and publications and implement prior work into high-quality code.
- Identify mechanical challenges and prototype solutions in CAD.
- Collaborate with SVL researchers to conduct novel research and publish papers in top-tier conferences.
To be successful in this position, you will bring: Education & Experience:
Bachelor's or master's degree in CS, EE, or ME, or a combination of education and relevant experience.
Knowledge, Skills and Abilities:
- Familiarity with common topics in robotics and control, such as controller design, planning, state estimation, robot kinematics and dynamics, etc.
- Strong coding skills in Python and C++.
- Great communication skills and enthusiasm for AI and robots.
- (Optional) Prior exposure to machine learning and computer vision/robotics research.
- (Optional) Experience in machine learning (TensorFlow, PyTorch,..), robotics and computer vision software (ROS, PCL, OpenCV, etc).
- (Optional) Experience with mechanical design and prototyping.
*Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
Why Stanford is for You
Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:- Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.
- A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
- A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.
- Discovery and fun. Stroll through historic sculptures, trails, and museums.
- Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more
We invite you to apply for this position by clicking on the "Apply for Job" button. To be considered, please submit a cover letter and resume along with your online application. Your one-page cover letter should briefly describe your background in customer service and provide examples of your experience with attention to detail, responsiveness, and decision-making.
In addition, the applicant should:
- Send in a code sample of the largest project you've worked on Additional Information
- Schedule: Full-time
- Employee Status: Fixed-Term
- Requisition ID: 82451
Job:
Location: School of Engineering, California, United States
Schedule:
Classification Level:
To be considered for this position please visit our web site and apply on line at the following link:
Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.
Copyright 2017 Inc. All rights reserved.
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SVL Research Engineer - Stanford, United States - InsideHigherEd
Description
SVL Research Engineer
Stanford University
Job Number: 82451
Research and Development Scientist and Engineer 1 Job Code: 4981 Job Grade: J
FTE: 100%, Exempt, 18 months Fixed Term with possible extension
School of Engineering, Computer Science Department
The School of Engineering
Stanford Engineering has been at the forefront of innovation for nearly a century, creating pivotal technologies that have transformed the worlds of information technology, communications, health care, energy, business and beyond. Our faculty and students are creative risk-takers who pursue excellence across a breadth of disciplines. Our alumni include some of the world's most successful leaders in technology and business. Our staff are critical to enabling Stanford Engineering to accomplish its mission: seeking solutions to some of the world's most urgent challenges and educating leaders who will make the world a better place through the power of engineering principles, techniques and systems.
Stanford Vision and Learning (SVL) Lab is initiating a new research engineer position, designed to give you hands-on experience in cutting-edge research at the intersection of artificial intelligence and robotics. This program offers a full-time position, where research engineers will work with professors, postdocs, and graduate students in SVL. We are working on challenging open problems in robotic manipulation and developing new machine learning and computer vision methods to scale up robots from laboratories to the real world. Visit for examples of robot learning research performed in our lab.
We expect the research engineers to gain technical knowledge and practical expertise of AI and robotics research. This program is designed to prepare you for subsequent graduate study or kickstart a career in the AI and robotics industry. We are looking for people with strong experience in building real robotics systems and deep enthusiasm for artificial intelligence. Accepted candidates will be based on the Stanford campus, and will work with researchers in SVL to develop hardware systems and AI algorithms for a variety of robot platforms.
Your responsibilities include:
