5 Mpc Jobs

As a Rust Backend Developer for the MPC Development Project at Speqto Technologies Pvt Ltd, an esteemed IT service provider in NCR, India, you will be part of a cutting-edge initiative focused on Multi-Party Computation (MPC) Node Infrastructure. This project entails the development of secure key generation, distributed signing, encrypted communication channels, and SDKs across various platforms like Web, Android, and iOS. The emphasis will be on ensuring security, low-latency communication, and accuracy in cryptographic protocols. Your primary responsibilities will include developing and maintaining the core MPC backend logic using Rust. You will also be tasked with implementing and extending protocols such as GG18, GG20, EdDSA, and ECDSA within a multi-node distributed system. Building secure communication layers, managing session orchestration, key lifecycle, and threshold signing will be crucial aspects of your role. Additionally, you will collaborate closely with SDK teams to expose backend logic via gRPC, WebSockets, and REST. To excel in this role, you must possess a strong command over Rust, including asynchronous programming, traits, lifetimes, error handling, and memory safety. A deep understanding of multi-threading, message queues, and asynchronous concurrency is essential. Familiarity with communication frameworks like ZeroMQ and WebSockets, as well as experience working with cryptographic protocols, will be advantageous. Hands-on experience with secure backend services, data persistence, and testing in Rust is also required. Bonus points will be awarded if you have prior experience in building or contributing to MPC, Zero-Knowledge Proof (ZKP), or Crypto Wallets. Knowledge of protocols like GG18, GG20, Threshold Signatures, or Secure MPC papers will be beneficial. Experience with low-level system libraries, FFI bridges, WASM bindings, and network protocol security will also be valuable assets. Your expertise will be showcased through the utilization of tools and technologies such as Rust (Tokio, Actix, Serde), Protocol Buffers, gRPC, Postgres, RocksDB, Docker, GitHub Actions, Prometheus, Grafana, and Git. Familiarity with VS Code and Obsidian for documentation purposes will be essential for seamless collaboration within the team. This is a full-time position that requires your presence at the onsite location in Noida, India. You will be expected to work day shifts and actively engage in sprint planning, code reviews, pair programming, and handling production bug fixes and system upgrades. Your contribution to the project will play a pivotal role in achieving benchmarked quality standards in the competitive market.,

We are searching for a dedicated and proficient Robotics AI/ML Engineer to become a part of our team and contribute to the advancement of intelligent and autonomous drone systems. Your primary role will involve spearheading the development of drone software stacks, merging onboard intelligence (AI/ML) with robotic middleware (ROS/ROS2) and backend systems. The ideal candidate should possess a minimum of 1 year of practical experience in constructing real-world robotics or drone software, showcasing a strong command over ROS/ROS2, computer vision, and machine learning applied to autonomous navigation, perception, or decision-making. Your responsibilities will include: - Drone Software Development: - Construct and uphold core ROS/ROS2-based software for autonomous flight, navigation, and perception. - Develop real-time systems to manage sensor fusion, path planning, obstacle avoidance, and mission execution. - Implement algorithms for drone localization (GPS, SLAM, visual odometry) and mapping. - AI/ML Integration: - Create and train AI/ML models for perception (e.g., object detection, tracking, segmentation). - Deploy and optimize AI models on edge hardware (Jetson, Raspberry Pi, Odroid, etc.). - Collaborate on multi-camera vision, lidar fusion, and real-time inference pipelines. - System Integration & Backend Communication: - Integrate drone software with backend/cloud systems using ROSBridge, WebSockets, MQTT, or custom APIs. - Develop data pipelines for telemetry, health monitoring, and AI inference output. - Collaborate with DevOps/Backend teams to ensure seamless interface with mission control and analytics dashboards. - Testing & Simulation: - Establish and oversee simulated environments (e.g., Gazebo, Ignition) for testing flight logic and AI behavior. - Conduct real-world test flights with live data and iterative tuning of software models. Requirements: - Bachelor's or Master's degree in Robotics, Computer Science, Electrical Engineering, or a related field. - Minimum of 1 year of experience in building autonomous systems using ROS/ROS2. - Proficiency in Python and C++ with experience in writing ROS nodes and launch files. - Experience in deploying AI/ML models for perception or control (e.g., YOLO, DeepSORT, CNNs, LSTMs). - Hands-on experience with drones or mobile robotics platforms (simulation or real-world). - Familiarity with version control (Git), Linux environments, and debugging complex robotic systems. Preferred Skills: - Experience with drone-specific stacks (PX4, ArduPilot, MAVROS). - Proficiency in edge AI deployment tools (TensorRT, ONNX, OpenVINO). - Familiarity with CV frameworks like OpenCV, TensorFlow, PyTorch. - Experience with cloud platforms for robotics (AWS RoboMaker, Azure, etc.). - Understanding of control systems (PID, MPC), SLAM, or multi-agent systems. - Knowledge of cybersecurity best practices in robotics and IoT. This is a full-time, permanent position with a day shift, fixed from Monday to Friday. The role requires in-person work in Hyderabad, Telangana. Applicants must be willing to commute or relocate to Hyderabad before commencing work. As part of the application process, candidates will be asked if they have previously worked with drones or built a drone. A minimum of 1 year of experience in Robotics AI/ML is required, and an AI/ML certification is preferred.,

The Robotics Software Lead position requires a specialised individual with expertise in planner and controller plugin development for NAV2, specifically focusing on motion planning, path optimization, and precise control tuning for Autonomous Mobile Robots systems. In this role, you will need to have a deep understanding of robot kinematics models, AI-powered navigation, and non-odometric SLAM techniques such as RTAB-Map, ORB-SLAM, LIO-SAM, LOAM, and ICP. Your responsibilities will include developing global and local path planning algorithms for real-time obstacle avoidance and navigation optimization. You will also be responsible for implementing trajectory planning, route optimization, and dynamic path adjustments to ensure smooth and adaptive mobility in complex environments. As a Robotics Software Lead, you will design custom global and local planner plugins integrated into NAV2 to optimize trajectory execution and replanning efficiency. You will enhance planners to improve navigation precision for autonomous robots in both structured and unstructured scenarios. Additionally, you will develop custom controller plugins integrating SMAC, PID, MPC, and EKF-based dynamic control mechanisms. Your role will involve fine-tuning feedback loops and real-time control adjustments to optimize robot responsiveness. In terms of fusion and localization, you will be responsible for integrating LiDAR, GPS, IMU, Stereo Cameras, and Radar for SLAM-based localization, ensuring robust environmental mapping and positioning. You will also implement multi-sensor fusion techniques for high-accuracy navigation across diverse terrains. Your work will involve designing and implementing full-stack ROS2 navigation architectures, optimizing behavior trees, and waypoint-following algorithms. You will utilize simulation frameworks such as Gazebo, Isaac Sim, and Omniverse to validate planning and control models before real-world implementation. Furthermore, you will work on Sim2Real adaptations to ensure efficient translation of simulation-based algorithms into physical robotic platforms. You will implement probabilistic motion models, decision-making frameworks, and AI-powered behavior. It is essential to maintain technical documentation for planner/controller APIs, navigation pipelines, and SLAM-driven localization strategies. To be successful in this role, you should have expertise in ROS2, NAV2 planner & controller development, SLAM techniques, robot kinematics models, and simulation tools. Hands-on experience in developing planner and controller plugins for NAV2, proficiency in controller plugin development, and experience with sensor fusion are also required. If you are someone who can join within 15 days from the offer, and you possess the necessary skills and experience outlined above, we encourage you to apply for this exciting opportunity in the field of robotics software development.,

codes standards, statutory requirements ,accurate deliverables such as Feasibility report, Cost Estimates, Drawing Reports,Troubleshooting & recommendations, procurement documents, vendor documents Review, Required Candidate profile Following all the procedures of QMS, EMS and ensure adherence to current practices. Maintaining QMS/EMS documents and records in electronic medium, Analytical ability, Self-Starter, Proactive.

codes standards, statutory requirements ,accurate deliverables such as Feasibility report, Cost Estimates, Drawing Reports,Troubleshooting & recommendations, procurement documents, vendor documents Review, Required Candidate profile Following all the procedures of QMS, EMS and ensure adherence to current practices. Maintaining QMS/EMS documents and records in electronic medium, Analytical ability, Self-Starter, Proactive.