Facebook Research Intern, Inertial Motion Sensors (PhD University Student) in Redmond, Washington
Oculus is a world leader in the design of virtual reality systems. We are currently seeking innovative research interns with a passion for technology to develop sensor hardware and algorithms at our research location in Redmond, WA. This role is focused on testing and characterization of inertial measurement systems and novel imaging technologies, with a possible emphasis on IMU characterization, system integration, quantitative performance modeling, design and evaluation of sensor architectures, or similar topics. The position requires a candidate be actively pursuing a PhD in electrical engineering, mechanical engineering, applied physics, or similar.
Our internships are sixteen (16) to twenty-four (24) weeks long and we have various start dates throughout the year.
Design test plan and experimental setup
Test and characterize sensors against spec
Develop new data algorithms compatible with novel sensor prototype hardware
Develop mathematical models that quantitatively describe system performance
Work cross functionally with technical experts in other disciplines to develop experimental setups and prototype concepts
Summarize and communicate results to technical leads across Oculus Research
Pursuing a PhD degree in the field of the electrical engineering, mechanical engineering, applied physics, or related field.
Currently enrolled in a full time degree program and returning to the program after the completion of the internship.
Expertise with characterizing inertial measurement systems, gyroscopes, accelerometers, magnetometers, knowledge of statistical methods in data analysis, electrical and mechanical instrumentation.
2+ years' experience with programming languages such as MATLAB, Python, R, C++, C#, or similar
2+ years' experience working with or developing inertial-based sensors or novel imaging technologies
Interpersonal skills: cross-group and cross-culture collaboration
Able to obtain work authorization in the U.S. between January 1, 2019 and December 31, 2019
Demonstrated ability in working with IMUs, cameras, and computer vision algorithms
Demonstrated ability with numerical optimization and statistical data analysis
Demonstrated experience via an internship, work experience, or widely used contributions to open source projects.
Proven track record of achieving significant results as demonstrated by first-authored publications.
Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. If you need assistance or an accommodation due to a disability, you may contact us at email@example.com or you may call us at +1 650-308-7837.