Senior Research Engineer, Interactive AI

5 Months ago • 5-8 Years • Artificial Intelligence • $118,077 PA - $254,350 PA

Job Summary

Job Description

Nissan is seeking a Senior Research Engineer to develop innovative AI solutions for the automotive industry. You will lead research and development of AI applied to real vehicle prototypes, collaborating with experts in computer science, robotics, social science, and business. Must-have skills include a PhD in Computer Science or related field, 5+ years of relevant project experience, 3+ years of leading project teams, and in-depth technical knowledge in AI fields like sequential decision making, inference from sensor data, or multi-modal generative AI.
Must have:
  • PhD Computer Science
  • 5+ Years Project
  • 3+ Years Leading
  • AI Fields Expertise
Good to have:
  • Gesture-based Interaction
  • User-activity Recognition
  • Open-source Software
  • System Architecting AI
Perks:
  • Visa Sponsorship
  • Drug-free Workplace

Job Details

Join Nissan's Advanced Technology Center in Silicon Valley (NATC-SV) and lead the development of innovative Artificial Intelligence solutions for the automotive industry.

As a Senior Research Engineer, you will drive innovation in mobility by leveraging your expertise in one or more of the following AI fields:

  • Sequential Decision Making and Recommendation
  • Inference of essential context from sensor data, image data, and/or geo-spatial data
  • Learning constraints and objectives from demonstrations or feedback
  • Multi-modal Generative AI

You will lead research and software development of AI applied to real vehicle prototypes, collaborating with other experts in computer science, robotics, social science, and business to transform the automotive industry.

***Visa sponsorship for this position is not available at this time.

Expected Achievements

  • Take charge of the technical vision for new customer-value concepts enabled by AI, including prototyping, integrations of cutting-edge 3rd party solutions, and demonstration.
  • Design and develop prototype solutions that integrate AI capabilities into future generations of the {vehicle, cloud, connected device} ecosystem
  • Engineer principled models and methods 
  • Communicate progress effectively through presentations and reports, demonstrating business transformation potential
  • Author patents and publish research in top conferences (AAAI, NeurIPS, IJCAI, etc.)

Requirements

  • PhD in Computer Science or related field or equivalent experience in industry, with emphasis on practical AI deployment challenges
  • 5+ years of relevant project experience involving hands-on Software Engineering deployment
  • 3+ years of experience leading project teams
  • Solid foundation in Computer Science and Data Management best practices
  • In-depth technical knowledge demonstrated in one of the above areas of AI
  • Passion for research and development at the edge of human knowledge

Stand Out from the Crowd

  • Experience with gesture-based or embodied interaction
  • Experience architecting AI solutions for user-activity recognition and/or modeling of mood and emotion.
  • Authorship of relevant open-source software following best practices
  • Industry experience integrating solutions within larger system architectures
  • Track record of publication in top tier venues

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.

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 time of hire; Nissan uses E-Verify to validate employment eligibility. 

***Visa sponsorship for this position is not available at this time.

#LI-PR1

NISSAN FOR EVERYONE

People are our most valuable assets, and diversity and inclusion are the key to maximizing the power of each individual member of our team.  When everyone belongs, the power of NISSAN is undeniable.  Our Corporate Diversity Initiative aims to improve business results by ensuring that our workplace and core businesses meet the unique needs of our employees and customer base.

Nissan is committed to creating a culture where everyone belongs and employees, customers, and partners feel respected, valued, and heard.  We have over 10 Business Synergy Teams (BSTs) across the U.S. and Canada that connect employees – with shared characteristics or interests – build allies, and foster a company culture where all employees feel supported and included.

Nissan also values inclusion in all areas of our business as we strive to mirror the diversity of our customer base and the communities where we do business. We are committed to procuring innovative goods and services, retailing our products and communicating from a diverse perspective which will help us continue to offer our customers competitively designed, market-driven products.

Join us as we carry our commitment to diversity and inclusion into the future.

Santa Clara California United States of America

Salary Range:

$118,077.00 - $254,350.00

Salary Range Estimate: Annual Salary: (Minimum to Maximum of  Salary Range noted here). This compensation range represents the minimum and maximum base salary rates at Nissan for jobs assigned to this particular grade level. Please note that it is uncommon for an employee to be placed at either end of the range.  Rather, an employee’s actual base salary generally may fall somewhere in between and reflect the employee’s unique skills, work experience, education, work location, and market norms.  Additionally, pay may be based on comparisons to the base salary rates of other employees with similar backgrounds working in comparable roles.

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