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0.0 - 4.0 years

0 Lacs

karnataka

On-site

As a Robotics Software Engineering Apprentice at 10xConstruction.ai, you will play a key role in the development of cutting-edge AI-powered robots that are reshaping the construction industry. Collaborating with seasoned robotics software engineers, you will actively participate in the design, implementation, and testing of algorithms for robot manipulation, motion planning, and navigation. Your responsibilities will include assisting in the design and implementation of motion planning and trajectory systems for robotic construction equipment, contributing to the development of control systems for autonomous construction robots, and aiding in the creation and upkeep of simulation environments for system validation using tools like Gazebo, RViz, and NVIDIA Isaac Sim. You will also be involved in implementing and evaluating sensor fusion algorithms to enhance robot perception and decision-making, as well as gaining proficiency with ROS2 and contributing to the enhancement of robot software modules. Additionally, you will have the opportunity to explore advanced algorithms for robot navigation and control, collaborate with fellow engineers to integrate software components into robotic platforms, and participate in the development of technical documentation and reports. To excel in this role, you should have completed a Bachelor's or Master's degree with a strong academic background and a keen interest in robotics and software engineering. A fundamental understanding of robotics concepts such as kinematics, dynamics, and control systems is essential, while familiarity with ROS (Robot Operating System) would be advantageous. Proficiency in Python and/or C++ programming languages, excellent communication skills, and a collaborative mindset are crucial. A strong work ethic and a desire for continuous learning will be key to your success. By joining our team, you will have the opportunity to gain valuable experience in a dynamic startup setting at the forefront of robotics and AI innovation. You will contribute to the development of technology that is poised to transform the construction industry and work alongside a dedicated team of professionals committed to making a tangible impact. Learning from experienced mentors, you will acquire practical skills in robotics software engineering and experience firsthand the challenges and rewards of working in a real-world engineering environment. Your contributions to our project hold the potential to significantly influence the future of the construction industry. Join us on this exciting journey and be part of a team that is shaping the future of robotics in construction.,

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3.0 - 7.0 years

0 Lacs

coimbatore, tamil nadu

On-site

You are a skilled Quantitative Researcher who will be joining our team to develop advanced algorithmic trading strategies for cryptocurrency markets. Leveraging your deep quantitative skills, market insights, and statistical modeling, you will be responsible for researching, designing, and testing trading strategies that capture alpha in digital asset markets. Your key responsibilities will include researching and developing quantitative trading strategies for crypto markets across spot, perpetual futures, and derivatives. You will analyze market microstructure, order flow, and liquidity to identify trading opportunities. Additionally, you will design and implement statistical and machine learning models for signal generation, risk forecasting, and anomaly detection. It will be essential for you to perform extensive backtesting, simulation, and performance analysis using historical and live data. Furthermore, optimizing strategies for execution costs, slippage, latency, and market impact will be part of your responsibilities. Collaboration with developers to translate research into production-grade algorithmic trading systems is also a key aspect of the role. Monitoring live strategies and conducting post-trade analysis to refine and improve models, staying updated on market trends, blockchain analytics, protocol updates, and evolving market structure, and contributing to research documentation, strategy reports, and knowledge sharing within the team are also part of your duties. The required skills and qualifications for this role include a strong background in quantitative research, statistical modeling, or applied mathematics, solid programming skills in Python, R, or similar languages for data analysis and prototyping, experience with time series analysis, signal processing, and statistical inference, ability to work with large datasets, proficiency in data cleaning, feature engineering, and data visualization, understanding of trading concepts such as PnL attribution, Sharpe ratio, drawdown, and risk management, interest in cryptocurrency markets and familiarity with crypto-specific market dynamics, excellent problem-solving and critical-thinking skills, and ability to communicate complex quantitative ideas clearly to technical and non-technical stakeholders. Preferred qualifications for this role include prior experience in algorithmic trading or systematic strategy development (crypto or traditional markets), knowledge of crypto market microstructure, DeFi protocols, and blockchain data analytics, familiarity with exchange APIs, order types, and execution logic, experience with backtesting frameworks and simulation environments, machine learning experience applied to financial markets (e.g. feature selection, ensemble models, reinforcement learning), and an academic background in quantitative disciplines (e.g. Mathematics, Statistics, Physics, Computer Science, Engineering, Finance).,

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