About Auzmor Careers 2025
Auzmor is a compelling choice for small-to-mid enterprises seeking an all-in-one HR platform—especially one that combines ease-of-use, rich learning content, and recruitment automation. It shines in employee development initiatives and offers integrated modules to align training, hiring, and internal communications.
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Auzmor Careers 2025 Details
Company Name | Auzmor |
Job Role | Robotics Software Engineer 1 (Junior) |
Job Type | Full Time |
Job Location | Hyderabad |
Education | BE/ B.Tech/ ME/ M.Tech |
Career Level | 0 – 2 Years |
Salary | Not Mentioned |
Company Website | www.auzmor.com |
Job Description For Auzmor Careers 2025
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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: Write, optimize, and maintain high-performance code in Python, C++, and ROS 2 to support robotic autonomy, perception, and control systems.
- Perception and Autonomy: Implement and refine perception systems using computer vision (e.g., OpenCV), sensor fusion (LIDAR, IMU), and neural policies for adaptive tasks like dynamic grasping or inventory scanning.
- Skill Creation: Develop no-code Task Creator UI components and behavior trees for deterministic tasks (e.g., assembly) to support Auzmor’s skill development platform.
- Simulation and Testing: Build and test software in NVIDIA Isaac Sim environments (e.g., warehouse, hospital scenarios) to achieve 95% task success and 0.1% collision rates; conduct supervised real-world trials.
- Fleet Monitoring and Retraining: Integrate software with AWS IoT Greengrass for real-time telemetry, anomaly detection (e.g., identifying 5% failure rates), and continuous learning updates to neural policies and behavior trees.
- Compliance and Certification: Ensure software supports digital badge generation for OSHA and EU AI Act compliance; implement safety standards per ISO 10218.
- Collaboration: Partner with AI teams to integrate machine learning models (e.g., TensorFlow, PyTorch) into robotic systems and work with enterprise clients to customize task-specific skills.
- Deployment: Support OTA updates, skill versioning, and rollbacks for fleets of 100+ robots, ensuring scalability and reliability.
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Education:
- Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field.
Experience:
- 1 to 3 years of experience in robotics software development, with a focus on autonomy, perception, or control.
- Proven expertise in Python, C++, and ROS 2; familiarity with OpenCV, TensorFlow, 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) is a plus.
Technical Skills:
- Proficiency in developing algorithms for navigation, path planning, and human-robot interaction.
- Knowledge of behavior trees, neural policies, or reinforcement learning for robotic tasks.
- Familiarity with AWS IoT Greengrass or similar IoT platforms for telemetry and monitoring.
Soft Skills:
- Strong problem-solving abilities, teamwork, and communication skills to collaborate with cross-functional teams and enterprise clients.
Preferred:
- Experience in manufacturing, logistics, or healthcare robotics applications; knowledge of compliance standards (OSHA, EU AI Act, ISO 10218).
Auzmor Careers 2025 Application Process
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We wish you the best of luck in your Auzmor Careers 2025. May your talents shine, and may you find the perfect opportunity that not only meets your professional goals but also brings joy to your everyday work.