5 Simulation Environments Jobs

As a Senior Drone Engineer, you will be responsible for leading the design, development, and deployment of advanced drone systems. Your expertise in UAV technologies, embedded systems, flight control algorithms, and regulatory compliance will be instrumental in shaping the future of drone platforms for commercial, industrial, or defence applications. You will oversee the end-to-end development of drone systems, including hardware integration, software architecture, and flight testing. Additionally, you will design and implement flight control algorithms, navigation systems, and autonomous features. Collaboration with cross-functional teams comprising mechanical, electrical, and software engineers will be essential for successful project execution. Your role will also involve conducting performance analysis, troubleshooting, and optimization of drone systems while ensuring compliance with aviation regulations and safety standards such as DGCA and FAA. Managing prototyping, testing, and validation of new drone models, as well as mentoring junior engineers and contributing to technical documentation and knowledge sharing, will be part of your responsibilities. Furthermore, evaluating and integrating sensors, cameras, GPS, IMUs, and communication modules, supporting customer deployments, and providing technical expertise during field operations are key aspects of this role. To qualify for this position, you should hold a Bachelor's or Master's degree in Aerospace Engineering, Robotics, Electrical Engineering, or a related field, along with at least 5 years of experience in drone/UAV development. Proficiency in C/C++, Python, ROS, PX4/ArduPilot, and embedded systems is required, as well as experience with flight controllers, telemetry systems, and real-time data processing. A strong understanding of aerodynamics, control systems, electronics, CAD tools, and simulation environments like Gazebo and MATLAB is necessary. Preferred qualifications include experience with AI/ML for autonomous navigation or object detection, knowledge of BVLOS operations and regulatory frameworks, hands-on experience with drone manufacturing and field testing, and patents or publications in UAV technologies. In return, you can expect a competitive salary, performance bonuses, health insurance, wellness programs, flexible work hours, remote work options, professional development opportunities, certifications, and access to cutting-edge drone labs and equipment. Paid time off and provident fund benefits are also included. If you have led a team of engineers, collaborated cross-functionally on drone projects, have experience with BVLOS operations, autonomous navigation, or obstacle avoidance systems, and meet the educational and experience requirements, we encourage you to apply for this full-time position located in Jaipur city, Rajasthan. Willingness to travel up to 50% is preferred, and proficiency in English is also desirable. DGCA/FAA certification is a plus.,

As a Robotics Software Engineer at 10xConstruction.ai, you will be responsible for developing robotic software for AI Robots. Your primary focus will be designing and implementing robot manipulation and control algorithms, motion planning systems, and navigation systems to lead the development of robust and scalable solutions that redefine AI-driven robotics in the construction industry. Key Responsibilities: - Design and optimize motion planning and trajectory systems for robotic construction equipment. - Develop control systems for autonomous construction robots. - Build and maintain simulation environments for system validation. - Implement sensor fusion algorithms to enhance robot perception and decision-making. - Lead the development of advanced algorithms for robot navigation and control. - Collaborate with cross-functional teams to deliver scalable robotics solutions. Requirements: - Bachelor's/Master's (MS or PhD) in Robotics, Computer Science, AI, ML, or related field. - 3-7 years of experience in Robotics, Manipulator systems, Control Systems, localization, mapping, and navigation. - Proficiency in Motion Planning algorithms for 6DOF manipulators. - Strong foundation in control theory and algorithms relevant to robotic systems. - Expertise in creating ROS2 drivers, with proficiency in MoveIt2 for manipulation and Nav2 for navigation tasks. - Experience in using simulation environments like Isaac Sim for realistic scenario testing and development. - Familiarity with simulation tools such as Gazebo, NVIDIA Isaac Sim, and RViz. - Excellent understanding of control systems, including sensor fusion, Kalman filters, motion planning, and trajectory optimization. - Strong programming skills in Python & C++ with a good understanding of ROS2. - Ability to lead and excel in a fast-paced startup environment. Benefits: - Compensation: 15L to 30LPA (Including ESOPs). Why Join Us: - Join a dynamic startup and work directly with the founders to shape the future of robotics in construction. - Be part of a mission to create intelligent robots that eliminate the need for human labor in harsh and unsafe environments. - Experience the excitement of building not just a product, but a company from the ground up.,

As part of Synopsys, you will be at the forefront of innovations that are reshaping the way we live and work. From self-driving cars to Artificial Intelligence, 5G to the Internet of Things, we are driving the Era of Smart Everything with cutting-edge technologies in chip design and software security. If you are driven by a passion for innovation, we invite you to join our team. The Silicon Design & Verification business focuses on accelerating the development of high-performance silicon chips. As the world's leading provider of solutions for designing and verifying advanced silicon chips, we are committed to designing the next-generation processes and models essential for chip manufacturing. By enabling our customers to optimize chips for power, cost, and performance, we significantly reduce project timelines. As a member of the Custom Design Solutions Team within Synopsys's EDA Group, you will collaborate with top-tier customers to implement high-quality Custom/Analog Design Solutions on the latest process nodes. Working across various design stages, including front-end, simulation, back-end, and verification flows, the team emphasizes diversity in design experiences. You will have the opportunity to leverage your design expertise to architect and develop innovative Custom Design solutions. In the role of Solutions Engineering, Principal Engineer, your responsibilities will include: - Promoting the adoption of Synopsys Custom Design Platform to new Customers through presentations and demos - Understanding Customer flow requirements and aligning them with features in Synopsys Custom Design Platform - Collaborating with R&D and Product Marketing to drive the development of new flows and functionalities - Defining Analog Design flows and methodologies to enhance customer productivity - Creating Custom scripts tailored to specific customer needs or for rapid problem-solving - Managing customer relationships by ensuring clear communication of requirements to R&D and tracking feature development To qualify for this role, you should have: - A BE/MTech degree in Electrical/Electronics/Computer Engineering - Over 15 years of experience in creating and supporting custom design flows using tools like Custom Compiler - Hands-on experience in Analog design and coding medium-sized software solutions for custom design challenges - Expertise in areas such as advanced custom layout flows, simulation environments, parasitic extraction techniques, mixed-signal design, memory design, and custom placement and routing If you are a seasoned professional with a strong background in custom design flows and a desire to drive innovation in the semiconductor industry, we encourage you to apply for this position.,

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.,

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).,