Embedded Systems Engineer Experience: 1 3 Years Qualification: Degree in Electronics/Embedded Systems or related field, strong C/C programming, microcontroller platforms experience (STM32/ARM), familiarity with hardware bring-up and debugging Location: 3 Positions, Ahmedabad, Gujarat, India Key Skills Role: Firmware and driver development for embedded devices including sensors, motor controllers, and battery management systems Experience with real-time operating systems (RTOS) and embedded communication protocols such as CAN, UART, SPI Proficient in C and C programming for resource-constrained environments Hands-on experience with microcontroller platforms like STM32, ARM Cortex-M Ability to perform hardware bring-up, debugging using oscilloscopes, logic analyzers, and JTAG debuggers Strong understanding of embedded software development lifecycle and version control (Git) Good knowledge of low-level device drivers, interrupt handling, and memory management Job Profile Design, implement and test embedded software and firmware components Collaborate with hardware engineers for system integration and validation Debug and optimize code for performance, power, and memory usage Participate in design reviews, code reviews and maintain documentation Support production and post-production debugging and issue resolution Follow quality assurance processes and maintain coding standards Effectively communicate technical concepts and collaborate within cross-functional teams
Robotics Software Engineer (ROS2) Experience: 2 Years in robotics software development Qualification: BTech/MTech in CS/EE/Mech/Robotics or equivalent Location: 5 Positions, Ahmedabad, Gujarat, India Key Skills Strong knowledge of ROS2 framework, nodes, topics, services, and actions Proficiency in C 14/17 and Python for robotics application development Experience in navigation, SLAM, motion planning, and sensor integration (LiDAR, cameras, IMU) Familiarity with Gazebo, RViz, and other simulation & visualization tools Understanding of robotics middleware, DDS, and real-time communication Knowledge of Linux (Ubuntu) systems, bash scripting, and cross-compilation Version control using Git and collaborative development tools like Jira Experience with Docker, CI/CD pipelines, and deployment on embedded hardware Basic knowledge of machine learning for perception and object detection is a plus Job Profile Design, develop, and implement robotic control software using ROS2 Integrate and calibrate sensors (LiDAR, cameras, ultrasonic, IMU) into robotic systems Develop algorithms for navigation, obstacle avoidance, and mapping Simulate robotic systems in Gazebo and perform testing in RViz Optimize performance, latency, and reliability for multi-robot communication Collaborate with hardware teams for seamless integration of ROS-based software Debug and troubleshoot real-time robotics applications Maintain technical documentation for developed modules Participate in code reviews and ensure adherence to industry best practices Stay updated with emerging trends in robotics, AI, and ROS ecosystem
As an Embedded Systems Engineer at our company, you will be responsible for firmware and driver development for embedded devices, including sensors, motor controllers, and battery management systems. Your key skills will include: - Experience with real-time operating systems (RTOS) and embedded communication protocols such as CAN, UART, SPI - Proficiency in C and C programming for resource-constrained environments - Hands-on experience with microcontroller platforms like STM32, ARM Cortex-M - Ability to perform hardware bring-up and debugging using oscilloscopes, logic analyzers, and JTAG debuggers - Strong understanding of the embedded software development lifecycle and version control (Git) - Good knowledge of low-level device drivers, interrupt handling, and memory management As an Embedded Systems Engineer, your main responsibilities will include: - Designing, implementing, and testing embedded software and firmware components - Collaborating with hardware engineers for system integration and validation - Debugging and optimizing code for performance, power, and memory usage - Participating in design reviews, code reviews, and maintaining documentation - Supporting production and post-production debugging and issue resolution - Following quality assurance processes and maintaining coding standards - Effectively communicating technical concepts and collaborating within cross-functional teams If you have a degree in Electronics/Embedded Systems or related field, strong C/C programming skills, and experience with microcontroller platforms like STM32/ARM, then this position is perfect for you. The location for this position is Ahmedabad, Gujarat, India. We are excited to welcome talented individuals with 1-3 years of experience in embedded systems to join our team of professionals.,
Company Description Varologic Technologies combines advanced technology, innovation, a skilled team, efficient processes, and timely delivery to provide high-quality services to clients. The company fosters a culture of creativity, learning, and collaboration, ensuring clear communication across departments to achieve superior outcomes. Dedicated to maintaining high standards for over a decade, Varologic emphasizes transparency and trustworthiness, ensuring effective workload management and long-lasting client relationships. For more details, visit: https://www.varologic.co.in. Role Description This is a full-time hybrid role for a Quant Researcher and Algo Trader, based in Ahmedabad. We are looking for a Quantitative Trader (Algo Focus) to lead the design, deployment, and management of advanced algorithmic trading strategies in the Indian equity market and currency market. This is a high-impact, result-driven role with a clear mandate to generate alpha. You will oversee the entire strategy lifecycle—from research and backtesting to live execution, optimizing trading algorithms , and risk management. The ideal candidate should have a strong understanding of market microstructure, a passion for solving complex problems, analyzing market data to identify opportunities, and implementing data-driven strategies. The Role & Responsibilities: ● 🏦 Develop and optimize algorithmic trading strategies across asset classes. ● 📊 Analyze financial data to identify trading opportunities. ● 💡 Build and enhance trading models using in-house platforms. ● 🔍 Conduct backtesting and performance evaluation. ● 🔄 Stay updated with market trends and regulatory changes. Qualifications Strong foundation in Statistics and Mathematics Experience in Quantitative Research and Quantitative Investing Excellent Analytical Skills for problem-solving and data analysis Strong programming skills and familiarity with trading software and tools (preferred) Bachelor's or Master's degree in a related field such as Mathematics, Statistics, Finance, or Computer Science Ability to work collaboratively in a hybrid work environment and adapt to changing market dynamics
About Varologic Varologic Technologies Pvt Ltd (varologic.co.in) is at the forefront of algorithmic trading and data-driven equity research in the Indian capital markets. With a deep-rooted foundation in robotics and intelligent automation, Varologic also pioneers next-generation solutions in mobile robotics and warehousing automation, designing intelligent systems that unlock operational efficiency and future-ready logistics. Position Overview We are seeking a talented Equity Research Analyst who can bridge day-to-day trading needs and long-term investment research. The ideal candidate excels in financial analysis, data-driven modeling, and actionable market insights—delivering value to both traders and portfolio managers. While experience in technical analysis (charts, indicators) is advantageous, it is not a must; we encourage strong fundamental analysts who want to expand their market skillset. What You’ll Do Monitor markets, macro trends, and news to identify both fast-moving trading opportunities as well as longer-term investment ideas. Perform in-depth fundamental analysis across sectors and companies: financial statements, valuations (DCF, PE, NAV), management assessments, and risk scenarios. Support both short-term (intraday/swing) and long-term strategy: generate timely trade ideas and deep-dive investment recommendations. Build and maintain robust financial models, carry out scenario/sensitivity testing, and contribute to investment memos and presentations. Prepare succinct daily/weekly trading notes and comprehensive investment research suitable for diverse audiences. Track key market events, earnings, regulatory actions, catalysts, and company/sector developments. Collaborate with traders and the investment team to optimize trade execution and portfolio positioning. Adopt and learn modern research or trading platforms; contribute to ongoing process and strategy improvement. Required Qualifications Bachelor’s degree in Finance, Economics, Engineering, or related; advanced credential (MBA, CFA, CA, etc.) preferred. 1–5 years’ experience in equity research, trading analysis, or investment roles, supporting both fast-paced and long-term objectives. Outstanding analytical skills, financial modeling expertise, and a track record of communicating actionable investment insights. Familiarity with financial software (Bloomberg, FactSet, Excel, AlphaSense, etc.), experience with Python/SQL is a plus. Excellent communication skills and organizational abilities; able to synthesize complex information for both quick decision-making and deep research. High personal integrity, curiosity, and motivation; readiness to work in a dynamic, innovation-driven culture. Add-On Advantages (Not Required) Exposure to technical analysis, including charting methods, trend recognition, and indicators (RSI, MACD, moving averages, etc.). Experience with modern trading/charting tools: TradingView, MetaTrader, ThinkorSwim, NinjaTrader, etc. Willingness to blend fundamental research with technical analytics for comprehensive market insight.
About Varologic Varologic Technologies Pvt Ltd (varologic.co.in) is at the forefront of algorithmic trading and data-driven equity research in the Indian capital markets. With a deep-rooted foundation in robotics and intelligent automation, Varologic also pioneers next-generation solutions in mobile robotics and warehousing automation, designing intelligent systems that unlock operational efficiency and future-ready logistics. Position Overview We are seeking a talented Equity Research Analyst who can bridge day-to-day trading needs and long-term investment research. The ideal candidate excels in financial analysis, data-driven modeling, and actionable market insights—delivering value to both traders and portfolio managers. While experience in technical analysis (charts, indicators) is advantageous, it is not a must; we encourage strong fundamental analysts who want to expand their market skillset. What You’ll Do Monitor markets, macro trends, and news to identify both fast-moving trading opportunities as well as longer-term investment ideas. Perform in-depth fundamental analysis across sectors and companies: financial statements, valuations (DCF, PE, NAV), management assessments, and risk scenarios. Support both short-term (intraday/swing) and long-term strategy: generate timely trade ideas and deep-dive investment recommendations. Build and maintain robust financial models, carry out scenario/sensitivity testing, and contribute to investment memos and presentations. Prepare succinct daily/weekly trading notes and comprehensive investment research suitable for diverse audiences. Track key market events, earnings, regulatory actions, catalysts, and company/sector developments. Collaborate with traders and the investment team to optimize trade execution and portfolio positioning. Adopt and learn modern research or trading platforms; contribute to ongoing process and strategy improvement. Required Qualifications Bachelor’s degree in Finance, Economics, Engineering, or related; advanced credential (MBA, CFA, CA, etc.) preferred. 1–5 years’ experience in equity research, trading analysis, or investment roles, supporting both fast-paced and long-term objectives. Outstanding analytical skills, financial modeling expertise, and a track record of communicating actionable investment insights. Familiarity with financial software (Bloomberg, FactSet, Excel, AlphaSense, etc.), experience with Python/SQL is a plus. Excellent communication skills and organizational abilities; able to synthesize complex information for both quick decision-making and deep research. High personal integrity, curiosity, and motivation; readiness to work in a dynamic, innovation-driven culture. Add-On Advantages (Not Required) Exposure to technical analysis, including charting methods, trend recognition, and indicators (RSI, MACD, moving averages, etc.). Experience with modern trading/charting tools: TradingView, MetaTrader, ThinkorSwim, NinjaTrader, etc. Willingness to blend fundamental research with technical analytics for comprehensive market insight.