Researcher Sr

Nissan is seeking a Senior Researcher to support the development of autonomous driving technologies. The role focuses on applying machine learning, perception, control systems, robotics, and software development to enable autonomous vehicle capabilities within a structured product development environment.

• Master's degree + 5–8 years of experience, or
• PhD + 3–5 years of experience, or
• Bachelor's degree with equivalent relevant experience
• Degree in Engineering, Mathematics, Software Engineering, Computer Science, or related field

• Agile software development methodologies
• Jira, Monday.com, and CI/CD tools
• AWS cloud platform and services
• Programming in Python, C/C++, and related languages
• Robotics, controls, perception, and IoT technologies
• Autonomous driving software development
• ROS (Robot Operating System)
• User Interface (UI) development
• Hardware and software integration
• Software development team leadership/management

• On-site work in Silicon Valley
• Must be legally authorized to work in the United States
• Visa sponsorship is not available

• Develop and implement machine learning solutions
• Support autonomous vehicle research and development
• Work with hardware and software teams
• Lead and manage software development efforts
• Contribute to perception, control, and robotics solutions

• Employee Resource Groups (ERGs)
• Professional development and leadership training
• Innovation-focused work environment
• Equal Employment Opportunity (EEO) employer
• Drug screening and background check required for U.S.-based roles

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 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.

Salary Range:

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.