Researcher 1

Location: Silicon Valley

Job Schedule: Full-time Hybrid

Education Requirement: see below

Sponsorship: No

Come Drive Innovation with Us. We are currently looking for a Researcher 1 to join our team in Silicon Valley.

A Day in the Life:

- Identify requirements of and opportunities for novel applications in the domain of intelligent Mobility (e.g. Smart Cities), and work in a team to realize advanced technology concepts
- Given concrete application contexts and objectives, frame research  problems and propose methods for addressing them that demonstrate working knowledge of the state of the art and its limitations
- Prototype ideas through software development, leveraging off-the-shelf models, libraries, and tools to your advantage and designing new algorithms as needed
- Architect re-usable and re-configurable modules with sensible designs, clear interfaces, well-prescribed assumptions, and well-documented code
- Collaborate across disciplines, with other researchers, engineers, designers, and social scientists, to account for aspects of the problem that might otherwise be overlooked
- Communicate work effectively through presentations reports, and documentation
- Maintain and expand knowledge about research advances and tools by reading papers, maintaining connections with academic and industry research networks, attending conferences, participating in professional organizations, and identifying educational opportunities.

Who We’re Looking for:

Required:

- Bachelor's degree required + 5-10 years of relevant experience (Master's degree + 2-5 years of relevant experience or Doctoral degree + 0-2 years of relevant experience)
Relevant degrees: Computer Science, Aeronautics, Astronautics, Mathematics, Statistics, Electrical Engineering, Civil & Transportation Engineering or other related degrees focused 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
- Proficiency in at least one of the programming languages in Python, Java and C++
- Experience using relational database or NoSQL database, such as Postgresql, mongodb
- Hands on experience with the common tools, cloud platforms and frameworks in ML (e.g. Flow, AWS, Tensorflow, PyTorch, etc.)
- Track record of publications, experience filing patents

What You’ll Look Forward to at Nissan:

Career Growth and Continuous Learning Opportunities:  Benefit from diverse career paths, cross-departmental moves, and innovative learning platforms. Enhance your skills through seminars, leadership training, and tuition reimbursement programs, all while playing a vital role in shaping the future of transportation. From day one, you'll have the support to tackle challenges and contribute to impactful solutions across our organization.

Rewards: Be supported with a Comprehensive Benefits Package, including medical, mental health, parental leave, retirement savings & unique Nissan perks, including discounts on lease vehicles as part of our Employee Lease Program and a Vehicle Purchase Program (VPP). For more information, access our Nissan Benefits Overview Guide .

Built for Your Best:

https://www.youtube.com/watch?v=PXuame0vwiw&list=PLki2k0CDxrPe8V6WmEeEdhj1fosRD-JQa

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

Nissan is committed to a drug-free workplace. All employment is contingent upon the successful completion of drug and background screenings in accordance with Nissan policies and in compliance with federal, state, and local laws, including the California Fair Chance Act and the Los Angeles County Fair Chance Ordinance. Nissan will consider qualified candidates with arrest or conviction records for employment in a manner consistent with these laws.

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.

NISSAN FOR EVERYONE

People are our most valuable assets, and Nissan seeks to maximize the power of each individual member of our team. When everyone belongs, the power of NISSAN is undeniable. Nissan aims to improve business results through a workplace and business that meets the 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 Business Synergy Teams (BSTs) across the Americas that are open to all employees and seek to connect employees through common interests and foster a company culture where all employees feel supported and included.

Nissan also values inclusion in our business as we respect and recognize 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 position that will help us continue to offer our customers competitively designed, market-driven products.

Join us as we carry our commitment to our employees and customers into the future.

Santa Clara California United States of America
Salary Range:
$108,400.00 - $230,590.00
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.