Researcher 1

Location(s): Silicon Valley

Job Schedule: Full-time, Hybrid/On-site

Education Requirement: Bachelor’s Degree

Sponsorship: No  

Strong Candidate Identified: Yes

We are currently seeking a Researcher I to join our Autonomous Systems team. In this role, you will help develop and evaluate next-generation perception algorithms that enable safe, predictable, and human-like autonomous vehicle behavior. Working at the intersection of machine learning, robotics, and computer vision, you will contribute to cutting-edge research focused on road user detection, road structure estimation, and perception system performance in both simulated and real-world driving environments.

If you're excited about solving complex technical challenges and helping shape the future of autonomous driving, we'd love to hear from you.

• Design and execute perception research projects focused on road user detection, scene understanding, and road structure estimation.

• Train, evaluate, and optimize machine learning models using appropriate datasets and modern deep learning techniques.

• Conduct rigorous testing and validation in simulation environments and real-world vehicle testing scenarios.

• Analyze model performance, investigate failure modes, and identify opportunities for improvement.

• Develop maintainable research software and experimental frameworks using Python and C++.

• Collaborate with researchers and engineers across autonomous systems, software, and vehicle development teams.

• Present technical findings, research results, and recommendations to project stakeholders.

• Contribute to technical publications, patents, conference papers, and other innovation initiatives.

• Document experimental results and provide regular updates to support project planning and execution.

We're looking for a curious and motivated researcher who enjoys transforming emerging technologies into practical solutions. The ideal candidate combines strong machine learning and software development fundamentals with a passion for autonomous systems and a willingness to learn through experimentation.

• Bachelors Degree with a minimum of 5 years relevant experience or Master's degree in Computer Science, Software Engineering, Electrical Engineering, Mechanical Engineering, Applied Mathematics, Robotics, or a related technical field with 0-2 years of relevant experience.

• Strong foundation in machine learning, robotics, optimization, controls, computer vision, autonomous systems, or related disciplines.

• Demonstrated research experience through thesis work, academic projects, internships, or equivalent activities involving literature review, experimental design, implementation, and technical evaluation.

• Strong programming skills in Python and C++.

• Experience designing, training, and evaluating machine learning models.

• Ability to communicate technical findings and research results effectively.

• Experience with deep learning frameworks such as PyTorch or TensorFlow.

• Experience working with perception systems for autonomous vehicles, robotics, or intelligent transportation systems.

• Knowledge of sensor fusion, scene understanding, object detection, tracking, or road structure estimation.

• Experience evaluating machine learning models in simulation and real-world environments.

• Experience authoring technical papers, patents, conference publications, or research reports.

• Familiarity with autonomous driving technology stacks and modern perception architectures.