Are you passionate about robotics and autonomous systems with a desire to work on cutting-edge AI-powered robotics solutions? The Software Engineering Intern Robotics position at Blaize Hyderabad offers an exceptional 6-month opportunity to work on advanced robotic systems powering critical infrastructure across smart cities, defense, manufacturing, healthcare, and automotive sectors.
Blaize is building a hybrid AI platform engineered for edge-to-cloud intelligence at scale. This internship provides hands-on experience with robot control systems, perception algorithms, path planning, sensor fusion, and reinforcement learning while working on their full-stack programmable processor architecture designed for real-time AI processing at the network’s edge.
🚀 About the Robotics Engineering Internship at Blaize
This 6-month internship focuses on developing robot control systems using Python, C++, and ROS2. You’ll implement algorithms for navigation, perception, reinforcement/imitation learning, and manipulation tasks. The role involves working with various sensors (cameras, LiDAR, IMUs), developing simulators, and designing comprehensive test systems to validate robot behavior in both simulated and real-world environments.
📊 Job Details
| Detail | Information |
|---|---|
| Company | Blaize |
| Position | Software Engineering Intern Robotics |
| Location | Hyderabad, India |
| Job Type | Full-time Internship |
| Duration | 6 Months |
| Industry | Edge AI / Robotics / Autonomous Systems |
| Global Presence | USA, UK, UAE, India |
Primary Job Responsibilities
Core Development Functions
- Write and test code for robot control systems using Python, C++, and ROS2 frameworks
- Implement algorithms for autonomous navigation including path planning and obstacle avoidance
- Develop perception systems for object detection, segmentation, and tracking
- Build reinforcement learning and imitation learning modules for robotic control and decision-making
- Create manipulation task algorithms for robotic arms and end-effectors
- Debug existing robotics code and contribute to software tools used by the team
- Work extensively with cameras, LiDAR sensors, IMUs, and force sensors
- Collect, process, and analyze sensor data for perception system development
- Calibrate hardware components ensuring accurate sensor readings
- Integrate sensor inputs for robust multi-modal perception systems
- Develop simulators for testing robot behavior in virtual environments
- Design comprehensive test and verification systems for validation
- Validate robot behavior in both simulated environments and real-world scenarios
- Research existing solutions to complex robotics problems
- Review academic papers to stay current with state-of-the-art robotic techniques
- Maintain thorough documentation of code, experiments, and research findings
- Work collaboratively with mentors and team members on problem-solving
- Conduct rigorous testing and troubleshooting of robotic products
- Ensure reliability and performance standards are met before deployment
- Contribute to knowledge sharing sessions and team learning initiatives
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📋 Required Qualifications and Skills
Educational Requirements
- MS/M.Tech/BS/B.Tech in Computer Science, Electronics and Communication Engineering (ECE), Mechatronics, Robotics, or Control Systems
- Strong academic foundation in robotics, control theory, and mathematics
Core Technical Skills
| Skill Category | Requirements |
|---|---|
| Programming | Proficiency in Python, C++, and ROS2 |
| AI Framework | Familiarity with PyTorch for perception and learning tasks |
| Computer Vision | Image processing for robotic perception |
| Reinforcement Learning | Robotic control and decision-making |
| Deep Learning | Object detection, segmentation, tracking |
| Path Planning | A*, RRT, Dijkstra navigation algorithms |
| Sensor Fusion | Multi-sensor integration and perception |
| Mathematics | Linear Algebra, Differential Equations |
| SLAM | Kalman filters, particle filters, SLAM algorithms |
Practical Experience Required
- Hands-on experience with robot projects (academic or personal)
- Proficiency with simulation environments (Gazebo, V-REP/CoppeliaSim)
- Embedded systems programming experience
- Experience with sensor integration and calibration
- Understanding of control systems and feedback loops
Nice-to-Have Skills
- Experience with robotic operating systems beyond ROS2
- Knowledge of motion planning libraries (MoveIt, OMPL)
- Familiarity with computer vision libraries (OpenCV, PCL)
- Understanding of multi-robot coordination
- Experience with hardware-software integration
- Knowledge of safety-critical systems development
- Exposure to industrial robotics or autonomous vehicles
Essential Competencies
- Strong problem-solving and analytical thinking
- Systematic debugging and troubleshooting skills
- Attention to detail in sensor calibration and testing
- Collaborative mindset for team-based development
- Good technical documentation skills
- Passion for robotics and autonomous systems
- Ability to learn from academic research papers
- Results-oriented approach to engineering challenges
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💰 Expected Stipend Range
| Duration | Monthly Stipend Range |
|---|---|
| 6 Months | ₹45,000 – 65,000 per month |
Note: Blaize offers competitive compensation for robotics internships reflecting the specialized skill requirements. Actual stipend depends on educational background (MS/BS), hands-on robotics experience, research publications, and interview performance. Strong potential for full-time conversion based on exceptional performance.
How to Prepare for the Application
Technical Preparation
- Master ROS2 fundamentals and build autonomous navigation projects
- Implement SLAM algorithms and visualize results in simulation
- Practice sensor fusion with camera and LiDAR data
- Build reinforcement learning projects for robotic control
Simulation and Hardware
- Gain proficiency with Gazebo or CoppeliaSim simulators
- Create simulated environments for robot testing
- Work with embedded systems (Raspberry Pi, Arduino) for sensor integration
- Practice camera calibration and image processing pipelines
Portfolio Development
- Build GitHub repository with robotics projects (navigation, manipulation, SLAM)
- Include simulation demonstrations with video documentation
- Showcase sensor fusion and perception projects
- Document algorithm implementations and experimental results
About Blaize Technology
Robotics at Blaize
Blaize’s edge AI platform enables:
- Real-time robotic perception with low power consumption
- Efficient deployment of AI models on edge devices
- High-performance computing for autonomous navigation
- Scalable solutions for multi-robot systems
- Hardware-accelerated inference for computer vision
Application Tips
- Highlight robotics projects with navigation, SLAM, or manipulation
- Showcase proficiency in ROS2 through concrete project examples
- Emphasize hands-on hardware experience with sensors and embedded systems
- Include simulation demonstrations (Gazebo/CoppeliaSim)
- Demonstrate understanding of reinforcement learning for robotics
- Show ability to implement research papers with practical results
- Express interest in edge AI and resource-constrained robotics
- Prepare to discuss trade-offs in algorithm selection for real-time systems
- Research Blaize’s edge computing platform and robotics applications
- Prepare technical questions about sensor fusion and autonomous navigation
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