Senior Researcher

Overview Who we are Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream. Do. Grow. with us. Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, "job flexibility benefits" (also known as I-140 or Adjustment of Status portability), etc.) now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future. Who We’re Looking For InfoTech Labs (ITL) is driving advanced research that helps shape the future of intelligent mobility. We are seeking a Senior Researcher to join our team in Mountain View, California, focused on developing next-generation artificial intelligence technologies that enable connected, cooperative, and intelligent mobility systems. This role is ideal for a highly innovative researcher passionate about advancing the state of the art and turning breakthrough ideas into impactful solutions. Reporting to the Manager of InfoTech Labs Research, you will lead cutting-edge research at the intersection of large language models, World Models, multi-agent systems, and connected vehicle technologies. Your work will help create scalable AI capabilities that improve perception, prediction, planning, and decision-making across cloud, edge, and embedded platforms, contributing directly to Toyota’s long-term vision for intelligent transportation and mobility. What You’ll Be Doing Success in this role means turning advanced research concepts into practical innovations that improve connected and intelligent mobility systems. On any given day, you may be exploring new AI architectures, developing prototype solutions, collaborating with cross-functional teams, and publishing research that advances the industry. Develop networked World Models that improve cooperative understanding, prediction, and decision-making across connected mobility ecosystems Design and evaluate distributed and collaborative World Model architectures that enable intelligent interaction among connected agents and systems Optimize AI models for real-time deployment across cloud, edge, and embedded computing environments while balancing performance and resource constraints Research and develop World Model-based model predictive control approaches that enhance planning and control capabilities within mobility applications Implement, test, and validate advanced algorithms using large-scale simulations and real-world transportation datasets Create proof-of-concept solutions that demonstrate innovative applications for connected and intelligent transportation systems Publish technical findings in leading conferences and journals to contribute to the broader scientific community and strengthen Toyota’s research leadership Generate intellectual property through invention disclosures, patents, and other innovative contributions that support future mobility technologies What You Bring PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or a related engineering discipline 3+ years of post-PhD research experience focused on artificial intelligence, machine learning, robotics, autonomous systems, or closely related technical domains Demonstrated expertise in machine learning, deep learning, or artificial intelligence with hands‑on experience applying advanced algorithms to complex research problems Experience in two or more of the following areas: World Models and predictive modeling, multi-agent systems and agentic AI, reinforcement learning and decision making, or knowledge distillation and model compression Strong programming experience utilizing Python and modern machine learning frameworks such as TensorFlow or PyTorch Demonstrated record of publishing research in top-tier conferences or journals such as NeurIPS, ICML, CVPR, or AAAI Willing to work overtime, after‑hours, and travel both international and domestic as needed Added Bonus If You Have Experience with vehicle-to-everything (V2X) communications, connected vehicle technologies, or intelligent mobility systems that can help accelerate research impact Hands‑on experience utilizing simulation platforms such as CARLA, Gazebo, SUMO, or ROS Experience working with mobility and autonomous driving datasets such as nuScenes, Waymo, or OpenDV Research experience with foundation models, including large language models, vision‑language models, and other large-scale AI architectures Deep expertise in fine‑tuning, evaluating, and applying advanced AI models to domain‑specific transportation and mobility challenges What We’ll Bring During your interview process, our team can fill you in on all the details of our industry‑leading benefits and career development opportunities. A few highlights include: A work environment built on teamwork, flexibility, and respect Professional growth and development programs to help advance your career, as well as tuition reimbursement Team Member Vehicle Purchase Discount Toyota Team Member Lease Vehicle Program (if applicable) Comprehensive health care and wellness plans for your entire family Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute (if applicable) Paid holidays and paid time off Referral services related to prenatal services, adoption, childcare, schools and more Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA) Relocation assistance (if applicable) The annual base salary range for this position is $136,600.00 - $221,900.00. Belonging at Toyota Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law. Have a question, need assistance with your application or do you require any special accommodations? Please send an email to View email address on click.appcast.io. At Toyota, we don’t just have a vision, but a group of talented, dedicated people who work hard every day to turn that vision into reality. Our mission is to build a future where everyone has the freedom to move. We believe that nothing is impossible. We have big dreams and persevere through any obstacles. We work together to create the future of mobility and make the world a better place. Career Possibilities: Toyota is a place for people who dream big and are determined to make those dreams a reality. We encourage innovation and look for people who will challenge the status quo in order to make the world a better place. We thrive on teamwork and collaboration and know diverse backgrounds, experiences and perspectives are not only the right thing for our people, they are a business imperative. Together, we’re empowered to forge our own paths - to be agile, curious and embrace a growth mindset and immerse ourselves in situations to gain new perspectives and to inspire bold, innovative ways of thinking and working. Our success as a company is directly tied to our team members’ success, and our collective ability to give back to society through an unwavering commitment to delight our customers and make people’s lives better. If you want to be part of the next-generation of innovations that help keep the world moving, then join us. And let’s start our impossible, together. #J-18808-Ljbffr TNA Toyota Motor Engineering & Manufacturing North America, Inc. Company