As a Founder's Office Associate, you’ll work directly with the founders across strategy, operations, product, legal, and fundraising. This is a high-impact role for someone early in their career who’s eager to take ownership, learn fast, and help build a company from the ground up. Roles and Responsibilities: Collaborate directly with the founders to drive cross-functional strategic and operational initiatives Maintain up-to-date financial records and support basic accounting and bookkeeping tasks Manage compliance tracking, legal documentation, and investor communications Coordinate purchase orders, vendor interactions, and internal documentation Support product and engineering meetings with research, notes, and follow-ups Assist with hiring, onboarding, scheduling, and company-wide coordination Act as a key point of contact for external stakeholders (investors, advisors, vendors) Conduct research and benchmarking to support high-priority decisions Build and improve internal processes to enhance clarity and execution Requirements: 0–2 years of experience in consulting, operations, strategy, or early-stage startups Strong written and verbal communication skills Highly organized, detail-oriented, and comfortable navigating ambiguity Able to manage multiple priorities in a fast-paced environment Self-starter with a learning mindset and bias toward action Bonus: Exposure to legal/compliance workflows, basic accounting, or product development Preferred: Bachelor’s degree in engineering Perks: Chill out with Denver, our resident Golden Retriever and Happiness Officer Fast iterations, big ownership, zero bureaucracy Location: On-site in Hyderabad | Up to ₹5 LPA , based on experience and skills. If you’re excited reach out at hiring@harvestedlabs.com or send a DM. Show more Show less
At Harvested , we're building laser-weeder robotic implements that enable precision agriculture at scale. Our mission is to empower farmers with automation tools that are rugged, intelligent, and field-ready. Join us if you want to work on embedded systems that don’t just power a robot — but help grow food. As an Embedded Engineer , you will be responsible for developing and maintaining firmware across our robotics stack, with a specific focus on laser-weeding systems used in live field conditions. You’ll collaborate closely with our hardware, autonomy, and manufacturing teams to create embedded solutions that are robust, scalable, and production-ready. Key Responsibility Firmware Development Develop, test, and debug embedded firmware for laser-weeder robotic implements. Write and maintain firmware for custom PCBs, with a focus on long-term field reliability. Optimize code for performance, safety, and modularity across different microcontroller platforms (e.g., STM32, ARM Cortex-M). Hardware Integration Interface with low-level hardware components using UART, SPI, I2C, CANBus, Modbus RTU/TCP, Ethernet, RS485/RS232. Analyze and interpret hardware schematics, datasheets, and board layouts to write hardware-aligned firmware. System Architecture Contribute to embedded system architecture and design for upcoming robotic platforms. Define and implement state machines, communication protocols, and error handling systems. Testing & Validation Design and implement unit tests, validation procedures, and automated test tools for embedded systems. Support hardware bring-up, lab testing, and debugging using oscilloscopes, logic analyzers, and signal generators. Deployment & Support Assist in troubleshooting during pilot trials and field deployments. Create documentation including interface specs, logic diagrams, flowcharts, and test reports to ensure maintainability. Cross-functional Collaboration Work closely with perception, autonomy, and mechanical teams to align software with system-level performance requirements. Support manufacturing and QA teams with firmware tools, diagnostics, and validation support. Qualifications: Bachelor's degree in Electronics, Electrical Engineering, or a related field. 1–2 years of experience in embedded firmware development. Proficiency in Embedded C/C++. Hands-on experience with STM32 or ARM Cortex-M based microcontrollers. Strong understanding of embedded communication protocols and networking fundamentals (TCP/IP, UDP). Familiarity with debugging hardware-software interaction using lab tools and instrumentation. Experience with version control systems like Git. Perks: Play and chill with Denver , our in-house CHO (Chief Happiness Officer). Build systems that work outside the lab — under the sun, in the dust, and in real farms. Join a hands-on, fast-moving team committed to building real-world impact in agriculture. Location: Hyderabad, India | Type: Full-time Department: Core Engineering Salary: Up to ₹6 LPA | Experience: 1–2 years Interested? Send your resume or work to hiring@harvestedrobotics.com or connect with us on LinkedIn. Let’s build robots that grow food. Show more Show less
Robotics Engineer – Control Systems (Laser Weeding Robots) Location: Hyderabad, Telangana, India At Harvested Robotics , we’re building the AI-powered laser weeding implements — robotic systems that help farmers remove weeds with precision, without chemicals. We’re looking for a Robotics Engineer to help us design the brains and motion behind our laser targeting systems. You’ll work on motion control, BLDC motors, sensor fusion, and real-time algorithms that bring our robots to life in the field. Requirements: Design and implement high-precision gimbal & motor control systems for real-time laser targeting. Develop robust BLDC motor control algorithms (microsecond precision). Integrate with the AI & perception team to connect weed detection with precision actuation. Build sensor fusion pipelines combining IMU, GNSS, RTK, odometry, and custom sensors. Test and tune control systems in real-world field conditions (dust, heat, vibrations, uneven terrain). Scale your work to multi-laser, multi-unit robotic platforms for agriculture. Implement safety mechanisms, redundancy, and fail-safe protocols for field deployment. Collaborate with mechanical engineers to integrate actuators, gimbals, and hardware subsystems. Qualifications: Experience with BLDC motor control and precision positioning systems. Strong knowledge of control theory (PID, adaptive control, state-space) . Hands-on programming in C++/Python on embedded systems. Experience with ROS/ROS2 and communication protocols (CAN, Ethernet). Comfort working at the intersection of hardware + software + field testing . Preferred : Experience in agricultural robotics, precision agriculture, or outdoor robotics . Knowledge of laser systems and safety standards . Exposure to machine learning integration in control systems . Experience with hardware-in-the-loop testing or ruggedized system design. Why join us? At Harvested, we’re not just building robots — we’re building tools that make farming easier, sustainable, and more profitable for farmers . You’ll be working on systems that move from the lab to the field, impacting real farms in India and beyond. DM me here or reach out at careers@harvestedlabs.com
Robotics Engineer Control Systems (Laser Weeding Robots) Location: Hyderabad, Telangana, India At Harvested Robotics , we're building the AI-powered laser weeding implements robotic systems that help farmers remove weeds with precision, without chemicals. We're looking for a Robotics Engineer to help us design the brains and motion behind our laser targeting systems. You'll work on motion control, BLDC motors, sensor fusion, and real-time algorithms that bring our robots to life in the field. Requirements: Design and implement high-precision gimbal & motor control systems for real-time laser targeting. Develop robust BLDC motor control algorithms (microsecond precision). Integrate with the AI & perception team to connect weed detection with precision actuation. Build sensor fusion pipelines combining IMU, GNSS, RTK, odometry, and custom sensors. Test and tune control systems in real-world field conditions (dust, heat, vibrations, uneven terrain). Scale your work to multi-laser, multi-unit robotic platforms for agriculture. Implement safety mechanisms, redundancy, and fail-safe protocols for field deployment. Collaborate with mechanical engineers to integrate actuators, gimbals, and hardware subsystems. Qualifications: Experience with BLDC motor control and precision positioning systems. Strong knowledge of control theory (PID, adaptive control, state-space) . Hands-on programming in C++/Python on embedded systems. Experience with ROS/ROS2 and communication protocols (CAN, Ethernet). Comfort working at the intersection of hardware + software + field testing . Preferred : Experience in agricultural robotics, precision agriculture, or outdoor robotics . Knowledge of laser systems and safety standards . Exposure to machine learning integration in control systems . Experience with hardware-in-the-loop testing or ruggedized system design. Why join us At Harvested, we're not just building robots we're building tools that make farming easier, sustainable, and more profitable for farmers . You'll be working on systems that move from the lab to the field, impacting real farms in India and beyond. DM me here or reach out at [HIDDEN TEXT]
Mechanical Engineering Intern — Harvested Robotics Location: Hyderabad Type: Internship (Full-time, On-site) At Harvested Robotics , we’re building the AI-powered laser weeding implements — robotic systems that help farmers remove weeds with precision, without chemicals. We’re looking for a Mechanical Engineering Intern who can help us design and build next-generation mechanical systems for our field robots — including gimbal mechanisms, structural mounts, enclosures, and cooling systems . You’ll work directly with our robotics and electronics teams to turn concepts into real, testable hardware. Responsibilities : Design and develop mechanical systems including gimbals, sensor mounts, and structural assemblies. Create and integrate mounts and enclosures for electronics, cameras, and laser modules. Design and analyze thermal systems for high-power laser and electronics cooling. Run mechanical and thermal simulations (FEA/CFD) to validate designs. Participate in rapid prototyping using 3D printing, laser cutting, and machining. Assist in tooling, jigs, and fixture design for assembly and testing. Support robot assembly, integration, and field testing activities. Work with vendors and fabricators for manufacturing, machining, and component sourcing. Maintain documentation, BOMs, and design revisions . Requirements : Currently pursuing a Bachelor’s or Master’s degree in Mechanical or Mechatronics Engineering . Strong fundamentals in mechanical design, materials, and manufacturing processes . Proficiency in CAD software (SolidWorks, Fusion 360, or CATIA). Basic understanding of tolerances, GD&T, and mechanical assembly principles . Hands-on experience with 3D printing, machining, or fabrication tools . Ability to work independently and collaboratively in a fast-paced hardware environment. Enthusiasm for robotics, prototyping, and solving real-world problems . Preferred Qualifications: Experience designing gimbal or optomechanical systems . Exposure to IP-rated enclosures , vibration isolation , or structural design . Familiarity with FEA tools (ANSYS, SolidWorks Simulation, or similar). Knowledge of thermal management and cooling system design . Exposure to agriculture machinery , robotics , or industrial design projects. Why join us? At Harvested, we’re not just building robots — we’re building tools that make farming easier, sustainable, and more profitable for farmers . You’ll be working on systems that move from the lab to the field, impacting real farms in India and beyond. DM me here or reach out at hiring@harvestedlabs.com
Location: Hyderabad Type: Full-time / Internship-to-Hire Team: R&D / Robotics Engineering Key Responsibilities Perform mechanical assembly of robotic enclosures, brackets, and precision mounting of mechanical components. Carry out wiring and integration of electronic subsystems including sensors, actuators, controllers, and power systems. Solder and assemble PCBs , connectors, and cable harnesses for both power and signal circuits. Use test instruments (multimeters, oscilloscopes, power supplies, etc.) for validation, debugging, and troubleshooting. Conduct basic electrical and mechanical tests continuity, voltage, current, and insulation checks. Assist in prototype builds , field deployments, and on-site testing of robotic platforms. Maintain documentation of wiring diagrams, test results, and component inventory. Collaborate with engineers on rapid prototyping, debugging, and iterative improvement of hardware systems. Ensure compliance with electrical safety and lab best practices. Qualifications Diploma / ITI in Electronics, Electrical, Mechatronics, or related field. 0–2 years of hands-on experience in robotics, industrial automation, or hardware assembly. Proficient in wiring, soldering, crimping, and mechanical fitting . Basic understanding of DC systems, motor drivers, sensors, and embedded electronics . Familiarity with tools like multimeter, oscilloscope, and power analyzer . Ability to read and interpret wiring diagrams, circuit schematics, and mechanical drawings . Strong attention to detail, problem-solving mindset, and eagerness to learn in a fast-paced R&D environment. Preferred Experience in robotics labs or product prototyping environments . Exposure to field testing and hardware troubleshooting in outdoor/agricultural settings is a plus.
At Harvested Robotics, we build AI-powered laser-weeding systems for farms in India. We capture high-resolution RGB + NIR imagery , train custom models, and deploy them on rugged edge compute to identify weeds with speed, precision, and safety. We’re looking for a Computer Vision Engineer who lives at the intersection of algorithms, data, and real-time edge deployment — someone obsessed with accuracy, latency, and pushing models into production on actual machines in the field. What you'll do Design, train, and optimise CV/ML algorithms for weed detection, crop segmentation, and health classification . Build and refine data pipelines : labeling, augmentation, dataset versioning, and quality control. Improve accuracy, robustness, and FPS across varied farm conditions (lighting, soil, rains, dust). Deploy and optimise models on edge hardware (Jetson, Qualcomm, x86, custom accelerators) with tight compute budgets. Implement classical CV + deep learning (OpenCV, geometric transforms, segmentation/detection networks). Build and maintain real-time inference pipelines using GStreamer, DeepStream , CUDA plugins, and custom kernels. Convert and optimise models using TensorRT, ONNX Runtime , quantisation (INT8/FP16), and graph optimisation. Work with the perception team on NIR/RGB fusion , extrinsic calibration, and sensor synchronisation. Analyse field failures and iterate on models fast . Build internal tools for evaluation, visualization, and automated benchmarking . What you need Strong grounding in computer vision, machine learning, and image processing . Experience with PyTorch/TensorFlow , ONNX, TensorRT, or similar optimisation stacks. Comfort with C++/Python , CUDA, and real-time edge deployments. Hands-on experience with GStreamer and/or NVIDIA DeepStream pipelines. Solid understanding of model evaluation, metric design, class imbalance, and dataset bias. Ability to work with large, messy, real-world datasets. Experience with embedded GPU optimisation, Jetson NX/Orin deployments, or Qualcomm accelerators. Familiarity with robotics perception, ROS, or sensor integration. Your models directly control when, where, and how our robot fires a laser at weeds . Precision and reliability define product success, safety, and farmer trust. This is not a lab role — your work runs on machines in actual farms every day.
At Harvested Robotics, we build AI-powered laser-weeding systems for farms in India. We capture high-resolution RGB + NIR imagery , train custom models, and deploy them on rugged edge compute to identify weeds with speed, precision, and safety. We're looking for a Computer Vision Engineer who lives at the intersection of algorithms, data, and real-time edge deployment someone obsessed with accuracy, latency, and pushing models into production on actual machines in the field. What you'll do Design, train, and optimise CV/ML algorithms for weed detection, crop segmentation, and health classification . Build and refine data pipelines : labeling, augmentation, dataset versioning, and quality control. Improve accuracy, robustness, and FPS across varied farm conditions (lighting, soil, rains, dust). Deploy and optimise models on edge hardware (Jetson, Qualcomm, x86, custom accelerators) with tight compute budgets. Implement classical CV + deep learning (OpenCV, geometric transforms, segmentation/detection networks). Build and maintain real-time inference pipelines using GStreamer, DeepStream , CUDA plugins, and custom kernels. Convert and optimise models using TensorRT, ONNX Runtime , quantisation (INT8/FP16), and graph optimisation. Work with the perception team on NIR/RGB fusion , extrinsic calibration, and sensor synchronisation. Analyse field failures and iterate on models fast . Build internal tools for evaluation, visualization, and automated benchmarking . What you need Strong grounding in computer vision, machine learning, and image processing . Experience with PyTorch/TensorFlow , ONNX, TensorRT, or similar optimisation stacks. Comfort with C++/Python , CUDA, and real-time edge deployments. Hands-on experience with GStreamer and/or NVIDIA DeepStream pipelines. Solid understanding of model evaluation, metric design, class imbalance, and dataset bias. Ability to work with large, messy, real-world datasets. Experience withembedded GPU optimisation, Jetson NX/Orin deployments, or Qualcomm accelerators. Familiarity with robotics perception, ROS, or sensor integration. Your models directly control when, where, and how our robot fires a laser at weeds . Precision and reliability define product success, safety, and farmer trust. This is not a lab role your work runs on machines in actual farms every day.
Location: Hyderabad (On-site) About the Job At Harvested Robotics , we build AI-powered laser-weeding systems for Indian farms. To make these robots accurate, safe, and effective, we need strong agronomy support directly from the field. We’re looking for an Agronomist who will spend time on farms, study weeds and crop growth, validate our data, and help us understand the biological side of laser-weeding. What You'll Do Work directly on farms to observe weed species, crop stages, and field conditions . Assist the engineering team during field tests and evaluate the final impact of lasers on crops and weeds . Conduct in-depth research on weed science : weed types, growth patterns, seasonal variations, and crop–weed interactions. Help build and maintain a clean weed/crop knowledge base for our models and datasets. Manage and organise agronomy-related data collected from farms (images, notes, weed counts, crop health metrics). Verify the accuracy of annotated data by checking if labels match actual weeds, crops, and field situations. Provide biological insights to help improve detection models, laser strategies, and field performance . Work with farmers to understand challenges, gather feedback, and support field deployment. What You Need Background in Agronomy, Weed Science, Crop Science, Plant Biology , or related fields. Ability and willingness to work on actual farms in varying conditions (heat, rain, mud). Good understanding of weed identification , crop growth, and field biology. Strong interest or experience in weed science research . Comfortable documenting observations and managing large sets of field data. Strong attention to detail to verify annotations and ensure data accuracy. Ability to work with engineering teams and communicate findings clearly. Big plus: Prior experience specifically working in weed science or weed-related field research. Why This Role Matters Your work directly influences the biological precision of our robotic laser-weeder. The weeds you identify, the data you validate, and the field insights you provide shape how well our system performs in real farms every day. How to Apply If you’re passionate about real-world robotics and want to help build the future of agriculture, send your resume to hiring@harvestedlabs.com.