Robotics Software Engineer ; Mid-Level

Title:
Robotics Software Engineer 1(Junior)

Description

Auzmor is redefining workforce training by seamlessly integrating human and robotic skill development to empower the hybrid workforce of tomorrow. As a Robotics & AI Research Engineer in our Robotics Division, you will lead pioneering research to enhance robotic capabilities through advanced artificial intelligence, focusing on areas such as autonomous decision-making, object recognition, and natural language processing for human-robot interaction. You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and computer vision solutions to drive Auzmor’s end-to-end hybrid workforce training platform.

Collaborating with robotics software, simulation, and compliance teams, you will create AI-driven training modules, proprietary algorithms, and skill development tools, ensuring robust integration with robotic systems for applications in manufacturing, logistics, and healthcare.

This role is essential to achieving Auzmor’s mission of delivering 25% improvement in human-robot efficiency, addressing the 35% skills gap in human-robot collaboration, and maintaining a 2-3 year lead in the $45B robotic training market by 2028, growing to $100B by 2030.

Key Responsibilities

●Software Development:
Design and implement robust, scalable code in Python, C++, and ROS 2 for robotic autonomy, perception, and control systems, optimizing for real-time performance.

●Perception and Autonomy:
Lead development of perception systems, integrating computer vision (e.g., OpenCV), sensor fusion (LIDAR, IMU), and neural policies for adaptive tasks like dynamic grasping or inventory scanning.

●Skill Creation:
Drive the development of no-code Task Creator UI modules and behavior trees for deterministic tasks (e.g., assembly), ensuring usability for non-expert enterprise users.

●Simulation and Testing:
Develop and validate software in NVIDIA Isaac Sim environments (e.g., warehouse, hospital scenarios), targeting 95% task success and 0.1% collision rates; support real-world trials with enterprise clients.

●Fleet Monitoring:
Implement telemetry and anomaly detection systems using AWS IoT Greengrass, addressing 5% failure rates and enabling continuous learning updates to neural policies and behavior trees.

●Compliance:
Ensure software aligns with OSHA, EU AI Act, and ISO 10218 standards, supporting digital badge generation for audit-ready compliance records.

●Mentorship:
Guide junior engineers, conduct code reviews, and foster best practices in software development and testing.

●Collaboration:
Partner with AI teams to integrate machine learning models (e.g., Tensor Flow, PyTorch) and work with clients to customize task-specific skills for pilot deployments.

Requirements

●Education:
Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field.

●Experience:

○5+ years of experience in robotics software development, with a focus on autonomy, perception, or control systems.

○Strong expertise in Python, C++, and ROS 2; proficiency with OpenCV, Tensor Flow, or PyTorch.

○Experience with real-time systems, embedded software, and sensor integration (e.g., LIDAR, cameras).

○Prior work with simulation platforms (e.g., NVIDIA Isaac Sim, Gazebo) and IoT frameworks (e.g., AWS IoT Greengrass) is preferred.

●Technical Skills:

○Advanced knowledge of algorithms for navigation, path planning, and human-robot interaction.

○Experience with behavior trees, neural policies, or reinforcement learning for robotic tasks.

○Ability to optimize software for scalability and reliability in fleets of 100+ robots.

●Soft Skills:
Strong leadership, problem-solving, and communication skills to mentor team members and collaborate with cross-functional teams and clients.

●Preferred:
Experience in manufacturing, logistics, or healthcare robotics; familiarity with compliance standards (OSHA, EU AI Act, ISO 10218).

Why Needed

The Mid-Level Robotics Software Engineer is essential for scaling Auzmor’s Robotics Division, leading critical components of our hybrid workforce training platform. This role supports Phase 2 (2025) goals, including the development of Task…