Autonomous Robotics Developer

We are seeking a skilled Machine Learning Engineer to join our R&D team and contribute to the development of industry-leading Autonomous Vehicle and Robotic solutions for the Material Handling Industry. As a key member of our team, you will have the opportunity to engage in every stage of the R&D process, from research and innovation to design, prototype development, and field deployment of alpha and beta systems.

Key Responsibilities:

• Design state-of-the-art neural networks for vision, grasping, and robot autonomy tasks.
• Develop software systems to interface neural networks with hardware to solve real-world physical problems.
• Select and implement cutting-edge neural network algorithms directly from the latest research.
• Read research papers, attend conferences, and share the latest advances in machine learning.
• Supervise model and dataset development across multiple projects, teams, and geographical locations.
• Develop new training and evaluation techniques to enhance an end-to-end neural network training and evaluation pipeline.
• Develop new features for a self-optimizing, real and synthetic, data generation pipeline.
• Develop real-time inference applications for embedded and mobile devices.
• Develop front and back-end systems for client/server inference.
• Create simulated environments for synthetic data generation.
• Evaluate and recommend the latest hardware for vision and robotic platforms.
• Maintain clear and transparent communication with cross-functional teams, vendors, and clients.
• Develop robust software utilizing industry best practices for code styling, version control, and development processes.
• Engage with Software Development Life Cycle processes, including scoping, architecture creation, design reviews, peer programming, and collaboration with a multidisciplinary team.

Travel Requirements:

• Up to 10% overnight travel (travel expenses paid).

Required Skills and Qualifications:

• Bachelor's Degree in Computer Science, Computer Engineering or related technical field.
• Preferred Master's or PhD in engineering with computer vision or neural network thesis/dissertation.

Benefits:

• Health, Dental, and Vision Insurance.
• 401(k) Retirement Plan with a company match.
• Vacation/Holiday Pay.
• Tuition Reimbursement.
• Flexible Work Schedules.
• Volunteer Work.
• Professional Associations, Conferences and Subscriptions.
• Company Meetings & Events.

About Us:

We are a leading material handling and robotics system integrator providing automated solutions for distribution, manufacturing, and order fulfillment centers around the world. Our team specializes in consulting, system design, project management, maintenance, and installation, while sourcing the best equipment and automation technology.