Principal Researcher, SV

With a focus on Mobility, Operational Excellence, Value to our Customers and the Electrification of vehicles, you can expect to be part of something exciting. From the sleek design of our vehicles to the unique opportunities we offer around the globe, Nissan exemplifies ingenuity in everything we do. Our people are what drive the business forward.

Job functions Include but are not limited to:

• Conducts research and prototyping in 3 primary areas:
  • Autonomous Driving
  • Connected Mobility Services
  • Human-Machine Interface
• Creates key technologies in the fields of autonomous driving, connected mobility services, and/or human machine interface. Works with some or all of the following:
• Image sensing & processing, Environment recognition , Decision making, Intelligent system architecture, Machine learning, Intelligent vehicle control, Vehicle system integration, Big data collection & storage, Big data analytics, Cloud service systems, Wireless communications,  Human behavior sensing/understanding, Natural language processing,  Multi-modal human machine interaction etc. 
• Creates Intellectual Property in the form of patents and published papers
• Interacts & communicates effectively with local partners to be aware of and educated in the most advanced technologies, ideas and trends.
• Collaborates globally with Nissan researchers in US, Japan, and India to share current activities, ideas, and findings.
• Applies and tests ideas through the modification of and use of prototypes
• Discusses and proposes research strategies with Sr. Researcher; adjusts research agenda based on customer voice and feedback
• Manage appropriate budget's as allocated and determined 
• Recognized as Industry Expert

Minimum Qualifications:

• Master's degree required  + 8-15 years of relevant experience or Doctoral degree + 5-10 years of relevant experience
  Relevant degrees: Computer Science, Aeronautics, Astronautics, Mathematics, Statistics, Electrical Enginering, Civil & Transportation Engineering or other related degrees focsed on Mobility, Traffic and Smart City areas.

• Research expertise and in-depth knowledge in technical (e.g. intelligent mobility, smart cities, computer science, math/statistics, civil/transportation, or related)
• Solid foundation in software development 

Responsibilities

• Selecting features, building and optimizing classifiers using machine learning techniques to enhance predictive analytics
• Neural Networks using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner

Skills and Qualifications

• Excellent understanding of machine learning and neural networks techniques and algorithms, such as CNNs, Transformer Networks,  SVM, Decision Forests, etc.
• Experience with common data science toolkits, such as Sci-kit Learn, Spark ML, PyTorch, Keras, etc.. Excellence in at least one of these is highly desirable
• Great communication skills
• Experience with data visualization tools, such as Tableau, Matplotlib, etc..
• Proficiency in using query languages such as SQL or equivalent
• Proficiency with Excel in terms of analyzing data and producing graphs, tables, and reports.
• Good applied statistics skills, such as distributions, statistical testing, regression, Bayesian, Markov chains, etc.
• Good scripting and programming skills in R, Python, Java, or equivalent
• Data-oriented personality
• MS or PhD degree in Statistics, Operations Research, EE, CS or equivalent / related area
• 7+ years of experience in data analytics

Welcome to an open lane of possibility. Drive your career forward and join the company leading the technology and business evolution of the automotive industry by applying today. 

Nissan is committed to a drug-free workplace.  All employment is contingent upon successful completion of a drug screen for roles based in the United States and background screening for all positions.     

All of us at Nissan – regardless of functional area or expertise – share a passion to design, manufacture, and sell high-performance vehicles. It is Nissan’s policy to provide Equal Employment Opportunity (EEO) to all persons regardless of race, gender, military status, disability, or any other status protected by law. Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the