Location: San Diego, CA (Relocation package available)
Salary Range: $150,000 - $180,000
Working Arrangement: Full Time - Hybrid ( Monday and Friday Remote)
I am representing one of the most innovative companies in the autonomous systems sector to help them find someone to lead their SLAM team, with a candidate with extensive SLAM experience.
This company is at the forefront of developing cutting-edge AI-driven solutions for autonomous systems across various industries. With a history of disrupting traditional sectors, they are now expanding into new markets, leveraging their ground-breaking technology.
The team works in a dynamic R&D environment, focusing on diverse areas of autonomy and robotics, allowing the successful candidate to explore multiple avenues and gain new skills with hands-on mentorship, of an already existing team to inherit.
Position Overview:
The successful candidate will contribute to the development of next-generation SLAM technologies and techniques for autonomous systems, enabling machines to learn, navigate, and perceive complex environments with integrated collision detection.
Requirements:
Master's or PhD in Computer Science or a related field.
4+ years of experience working with SLAM.
Deep expertise in autonomous systems, with a focus on SLAM.
Proficient in Python, C++, and robotics middleware (e.g., ROS).
Experience with neural network frameworks like TensorFlow or PyTorch.
Proven track record of translating research into practical implementations.
Benefits:
Salary range of $150,000 - $180,000 (negotiable for exceptional candidates).