Hardware Design Engineer_Drone Industry

Company: BonV Aero

Location: Bhubaneswar | Extensive Travel Across India

Experience: Fresher / Entry-Level

Department: Customer Success

About the Role

We are looking for a Graduate Engineer Trainee – Flying Operations to support UAV flying, field deployment, maintenance, troubleshooting, and customer support. The role involves hands-on work at customer locations across India.

Key Responsibilities

• Operate UAVs for testing, demonstrations, and customer operations.
• Support UAV deployment, installation, and commissioning.
• Perform basic maintenance, troubleshooting, and repairs.
• Assist with customer training and after-sales support.
• Maintain flight, maintenance, and service documentation.
• Follow all safety protocols and SOPs.

Eligibility

B.Tech/B.E./Diploma in:

• Electronics & Communication
• Electrical
• Mechanical
• Mechatronics
• Aerospace/Aeronautical
• Robotics
• Automobile
• Computer Science or related fields

Preferred Skills

• Basic understanding of UAVs, electronics, motors, batteries, and flight controllers.
• Knowledge of ArduPilot/Mission Planner is an advantage.
• Good communication and documentation skills.
• Willingness to travel extensively and work in challenging field environments.

Interested candidates can apply by sharing their updated CV.

ROLE SUMMARY:

An experienced, hands-on engineering role owning the electrical and electronics hardware content of motor-drive and sensor systems. The Electrical / Electronics / Instrumentation Engineer is responsible for power distribution and motor-drive power-stage design, sensor interface boards, and taking boards through EMI/EMC compliance, with full ownership of schematic capture and layout from concept to fab-ready.

RESPONSIBILITIES:

• Design power distribution and the motor-drive power stage (gate drives, current sense, H-bridge/inverter stages)
• Implement supervised discrete-line circuitry per IF-08 ICD requirements
• Design sensor interface boards (resolver, encoder, analog/digital signal conditioning)
• Take boards through EMI/EMC compliance for MIL-STD-461
• Own schematic capture and layout in Altium or KiCad end-to-end, from concept to fab ready.

REQUIRED QUALIFICATIONS

• B.E./B.Tech/M.E./M.Tech. in Electrical, Electronics & Communication, Electronics & Instrumentation, or any other relevant field.
• 4-8 years of relevant experience.

KEY COMPETENCIES

• Hands-on power electronics: gate driver design, current sensing, protection circuitry
• Analog signal conditioning for sensor front-ends (resolver, encoder, LVDT-class signals)
• Practical EMI/EMC design experience, ideally against MIL-STD-461 or equivalent (automotive/industrial EMC also considered)
• Strong Altium or KiCad skills — layout discipline for power + mixed-signal boards.
• Prior work on ICD-driven or interface-controlled discrete I/O circuitry
• Defence, aerospace, or automotive electronics background

Job Responsibilities:

We are seeking a highly skilled and motivated Robotics Engineers with a strong focus

on ROS2 development to join our dynamic team. As a Robotics Engineer, you will be

responsible for designing, developing, and implementing advanced robotic systems and

applications using the Robot Operating System 2 (ROS2). You need to develop the

behavioral and control systems, including planning and navigation needed for

autonomous robots. This role requires a deep understanding of robotic software

architecture, proficiency in ROS2, and experience with hardware integration and real

time systems and expertise in URDF (Unified Robot Description Format).

Key Responsibilities :

Design and Development:

 Develop robust and scalable robotic applications using ROS2. Implement

software for various robotic systems, ensuring high performance and reliability.

 Hand-on with developing ROS2 nodes, Services/Clients, Publishers/Subscriber.

 Lead and develop path/motion planning algorithms that include route planning,

trajectory optimization, decision making, and open space planning. Good

understandings of Robot dynamics, kinematics and modeling.

System Integration :

 Integrate sensors, actuators, and other hardware components with robotic

systems. Ensure seamless communication between hardware and software

layers. Experienced on integration with perception sensors such as IMU, GPS,

Stereo Cameras, Lidar, Radar, and various other sensors.

URDF Modeling :

 Create and maintain accurate URDF models for robotic systems. Ensure models

accurately represent the physical configuration and kinematics of the robots.

Algorithm Implementation :

 Implement and optimize algorithms for perception, localization, mapping,

navigation, and control.

Simulation and Testing :

 Utilize simulation tools to test and validate robotic systems in virtual

environments like Gazebo, Rviz2 and Unity.

Perform rigorous testing in real-world scenarios to ensure system robustness.

Documentation : Create and maintain comprehensive documentation for system architecture,

design decisions, algorithms, and user guides.

Research and Development :

 Stay updated with the latest advancements in robotics and ROS2, and URDF.

Contribute to the continuous improvement of development processes and tools.

All candidates must have at least a Bachelor’s degree in a related field(Computer

Engineering, Electronics/Electrical Engineering, Electronics and Communication

Engineering, Robotics or similar).

Advanced degrees are a plus.

Position: Computer Vision Engineer

Experience: 2–3 Years

Location: Bengaluru, Karnataka

Employment Type: Full-time

About the Role

We are seeking a highly motivated Computer Vision Engineer to join our autonomy and avionics team. The role involves developing, implementing, and validating computer vision models and algorithms and pipelines for UAVs operating in both GNSS-available and GNSS-denied environments.

The ideal candidate should have a strong foundation in theory of deep learning and machine learning, strong understanding of electromagnetic spectrum, imaging fundamentals, camera principles, and mathematical concepts with hands-on experience in implementing these algorithms on embedded or real-time systems.

Key Responsibilities

• Design, develop, and optimise AI Models
• Make custom CNNs/ modify existing CNNs to suit specific problems at hand
• Handle end-to-end training flow
• Implement end to end inference pipelines on standard PCs as well as on embedded systems
• Understand performance benchmarks and assess the accuracy and inference times
• Implement traditional image processing algorithms
• Factor the code to leverage underlying hardware architecture
• Prune the networks for efficiency
• Integrate the system within the application framework using C++
• Work closely with perception, controls, embedded software, and systems engineering teams.

Required Qualifications

• B.E./B.Tech/M.E./M.Tech in Computer Science and Engineering, Electronics, ECE, Mechatronics, or a related discipline.
• 2–3 years of experience in relevant area
• Strong understanding of: Linear Algebra, Probability and Statistics, AI-ML-DL fundamentals, Image processing, Camera Functioning
• Strong programming skills in C++ and Python.
• Experience with MATLAB for algorithm development and validation.
• Familiarity with Linux development environments.
• Experience with Git version control.

Preferred Skills

• Experience with Camera, IMU Calibration and Synchronisation
• Experience with multi-sensor fusion.
• Experience working with NVIDIA devices
• Experience on FPGA will be an added advantage
• Full understanding of Git functionality
• Exposure to airborne software development processes and coding standards (e.g., MISRA C++).

Personal Attributes

• Strong analytical and problem-solving skills.
• Ability to work independently on challenging technical problems.
• Good communication and documentation skills.
• Passion for solving challenging problems
• Willingness to participate in field trials and flight testing.
• Team player

Position: Guidance & Navigation Engineer

Experience: 1–3 Years

Location: Bengaluru, Karnataka

Employment Type: Full-time

About the Role

We are seeking a highly motivated Guidance and Navigation Engineer to join our autonomy and avionics team. The role involves developing, implementing, and validating state estimation, navigation, and guidance algorithms for autonomous UAVs operating in both GNSS-available and GNSS-denied environments.

The ideal candidate should have a strong foundation in estimation theory, sensor fusion, and navigation algorithms, along with hands-on experience in implementing these algorithms on embedded or real-time systems.

Key Responsibilities

• Design, develop, and optimise navigation and guidance algorithms for UAVs.
• Develop state estimation algorithms using IMU, GNSS, magnetometer, barometer, cameras, LiDAR, radar, and other onboard sensors.
• Design and implement estimation filters such as: EKF, UKF, Point-mass Filter
• Develop sensor fusion algorithms for robust localisation under degraded or denied GNSS conditions.
• Work on inertial navigation, dead reckoning, visual-inertial odometry (VIO), visual odometry (VO), and multi-sensor navigation systems.
• Develop guidance algorithms for waypoint navigation, path following, trajectory generation, and autonomous mission execution.
• Perform simulation, algorithm validation, and performance analysis using MATLAB/Simulink, Python, or C++.
• Analyse flight logs and sensor data to improve navigation accuracy and system robustness.
• Integrate navigation software with autopilots, embedded processors, and avionics systems.
• Support hardware-in-the-loop (HIL), software-in-the-loop (SIL), and field flight testing.
• Work closely with perception, controls, embedded software, and systems engineering teams.

Required Qualifications

• B.E./B.Tech/M.E./M.Tech in Aerospace Engineering, Robotics, Electronics, Electrical Engineering, Computer Science, Mechatronics, or a related discipline.
• 1–3 years of experience in navigation, estimation, robotics, autonomous systems, or UAV development.
• Strong understanding of: Linear Algebra, Probability and Statistics, Estimation Theory, Kinematics, Coordinate Systems, Control Systems,
• Experience developing estimation filters, especially EKF or UKF.
• Good understanding of IMU error modelling and inertial navigation.
• Experience with Camera, IMU Calibration and Synchronisation
• Experience with multi-sensor fusion.
• Strong programming skills in C++ and Python.
• Experience with MATLAB/Simulink for algorithm development and validation.
• Familiarity with Linux development environments.
• Experience with Git version control.

Preferred Skills

• Experience with Visual-Inertial Odometry (VIO), Visual Odometry (VO), or SLAM with loop closure techniques
• Knowledge of factor graph optimisation (GTSAM, Ceres Solver, g2o, etc.).
• Experience with ROS/ROS2.
• Familiarity with PX4 or ArduPilot.
• Experience working with embedded Linux or ARM-based processors.
• Understanding of UAV flight dynamics and autopilot architectures.
• Experience with flight data analysis and debugging.
• Exposure to airborne software development processes and coding standards (e.g., MISRA C++).

Personal Attributes

• Strong analytical and problem-solving skills.
• Ability to work independently on challenging technical problems.
• Good communication and documentation skills.
• Passion for robotics, autonomous systems, and aerospace technologies.
• Willingness to participate in field trials and flight testing.

This role offers the opportunity to work on cutting-edge UAV autonomy technologies from algorithm development through real-world flight validation.

Power Electric Vehicles with embedded software for battery management and autonomous driving.

What you'll do:

• Develop BMS algorithms (SOC/SOH estimation)
• Implement CAN bus communication protocols
• Code motor control algorithms (FOC, sensorless)
• Build ADAS features (ultrasonic parking, vision)
• HIL testing with Vector tools
• Optimize for automotive-grade reliability (AUTOSAR)

What we need:

• C/C++, Embedded Linux/RTOS
• Microcontroller experience (STM32, NXP)
• Control systems or automotive interest
• Debugging skills (oscilloscopes, logic analyzers)

Future-proof skills:

• Work on actual EV prototypes
• Portfolio for Tata, Mahindra EV teams
• Automotive cybersecurity exposure

Interested in designing award-winning wearables while managing challenging constraints so that your products are used everyday by millions of users? Then read on..

ULTRAHUMAN • HARDWARE

Hardware Design Engineer Wearables

Bangalore (Kudlu Gate)| • On-site | Full-time |

ABOUT THE ROLE

Ultrahuman's Hardware division builds award-winning wearables the Ultrahuman Ring and Ring Air pushing consumer technology in health and metabolic fitness. We're looking for a Hardware Design Engineer to own electronics design for our next-generation smart rings, from architecture and schematic capture through PCB layout, bring-up, and mass production.

This is a hands-on role at the extremes of miniaturization and power efficiency. You'll make architecture-level component decisions, drive high-density and RF layout, and take designs through NPI to volume — working closely with mechanical, firmware, and manufacturing teams on fast product cycles.

KEY RESPONSIBILITIES

Architecture & Schematic Design

• Translate product requirements into hardware architecture, then into schematics and manufacturable PCB designs using OrCAD / Allegro (Cadence).
• Own component selection across MCU/SoC, PMIC, sensor AFEs, and RF front-ends — balancing size, power, cost, and supply availability.
• Handle schematic-to-layout conversion and netlist import; create and maintain symbol/footprint libraries and land patterns.

High-Density & RF Layout

• Design and review high-density (HDI), rigid, and rigid-flex PCB layouts for space-constrained wearable form factors.
• Design 2.4 GHz BLE antennas and NFC coils, matching networks, and controlled-impedance routing; support antenna tuning and RF validation.
• Apply signal-integrity best practices for high-speed digital interfaces and mixed-signal boards.

Power & Low-Power Design

• Architect power trees around PMICs, buck/boost converters, and LDOs, including Li-ion charging for small-capacity cells.
• Build and validate ultra-low-power current budgets to meet multi-day battery-life targets.
• Strong grasp of power electronics and active/passive component behaviour.

Sensor Integration

• Integrate optical biosensing (PPG) AFEs, IMUs, temperature sensors, and haptics; own I²C/SPI interface design and analog front-end layout.

Manufacturing & DFM

• Own Gerber/ODB++ release, fabrication and assembly drawings, panelization, and full manufacturing data packages.
• Prepare and maintain BOMs; evaluate and qualify alternate / second-source components.
• Drive DFM/DFA reviews with fab and SMT/EMS partners; support NPI through EVT/DVT/PVT to mass production.
• Sound understanding of PCB materials, stackups, and component assembly processes.

Compliance, Reliability & Validation

• Apply EMI/EMC, thermal, and mechanical design best practices.
• Support pre-compliance and certification across FCC, CE, BIS, and RoHS, and familiarity with IEC standards for PCB design safety.
• Coordinate with test engineers on board bring-up and PCB validation; run circuit simulations for RF and signal/timing optimization.

Ownership & Collaboration

• Independently manage hardware projects end-to-end, including vendor coordination and delivery of final hardware.
• Collaborate with mechanical engineers to optimize designs and meet project timelines.
• Bring the latest design tools, methodologies, and industry best practices into the team.

REQUIRED QUALIFICATIONS

• Bachelor's or Master's in EEE, Electronics, or equivalent practical experience.
• 4+ years of hands-on hardware / PCB design experience, ideally in consumer electronics or wearables.
• Proficiency with a leading schematic and PCB toolchain (OrCAD / Allegro preferred).
• Proven track record taking a product from schematic through layout to volume production.
• Working knowledge of power electronics and active/passive component selection.
• Familiarity with global certifications (FCC, CE, BIS, RoHS) and IEC PCB safety standards.

PREFERRED / BONUS

• Experience with miniaturized high-density or rigid-flex designs.
• RF design experience (2.4 GHz / BLE, NFC, antenna tuning and matching).
• EMI/EMC design and pre-compliance testing experience.
• Low-power / battery-operated wearable product experience.
• Familiarity with reliability methods (DFMEA, derating) and RF / signal-timing circuit simulation.

CAD

Job Title: CAD Design Engineer, Mechanical & Code-First Reverse Engineering

Location: Gurugram | Bengaluru| Hyderabad | Pune (On-site)

Type: Full-Time

Experience: 5+ years

About the Role

We are seeking an experienced CAD professional with strong expertise in 3D modelling, part and assembly design, and technical drafting. In this role, you will create and refine high-quality CAD models and engineering drawings, develop robust design workflows, and collaborate with engineering teams to deliver accurate, manufacturable, and production-ready designs.

What You'll Do

● Create and review data grounded in real CAD and mechanical design practice, parts, assemblies, drawings, and the reasoning behind them.

● Reverse-engineer geometry: take an STL/mesh with no feature history and reconstruct the design intent as parametric, code-first CAD (build123d), inferring sketches, features, datums, patterns, and key dimensional relationships.

● Evaluate AI-generated design solutions, 3D models, feature trees, mating strategies, drawings, and pin down failure cases, edge cases, and quality gaps.

● Decompose complex modelling and verification tasks into structured, step-by-step workflows the model can learn from and be measured against.

Domain Responsibilities

● Build and assess parametric models, assemblies, and detailed 2D drawings across machined, sheet-metal, cast/moulded, and weldment parts.

● Judge design intent, constraints, and robustness, modelling approach. ● Apply and check GD&T, tolerancing, and design-for-manufacturing across the full product design lifecycle (concept → detailing → design review → handoff).

● Validate code-first reconstructions against source geometry via deviation and dimensional-accuracy checks.

Requirements

Must Have

● B.E./B.Tech/M.Tech/Ph.D in Mechanical Engineering (or closely related) from a Tier 1/Tier 2 institute (IIT, NIT, BITS, IIIT, DTU/NSUT, or equivalent).

● 5+ years of hands-on CAD/mechanical design with breadth across multiple platforms (Autodesk Fusion, SolidWorks, Creo, NX, CATIA, or Inventor), multiple part types, and the full design workflow.

● Strong command of parametric modelling, assembly design, engineering drawings, GD&T, and DFM.

● Working Python ability and genuine comfort with code-first CAD (build123d / CadQuery), or a clear track record of picking up scripting fast.

Good to Have

● Mesh processing (trimesh, Open3D, numpy-stl) and familiarity with OpenCascade/OCCT.

● Exposure to adjacent disciplines, surfacing, simulation-driven design, generative/topology optimization, or CAM handoff.

● PLM/PDM and configuration management.

Embedded Systems / Firmware Engineer

Key Responsibilities

• Develop embedded firmware for IoT and connected devices using C/C++.
• Work on RTOS, bare-metal programming, memory management, device drivers, and communication protocols.
• Develop and integrate drivers/interfaces for cameras, motors, sensors, and vision systems.
• Work with Python and Shell scripting for development and automation.
• Apply basic AI/ML and computer vision concepts to embedded applications.
• Collaborate on electrical and mechanical design, hardware integration, testing, and debugging.

Required Skills

• C, C++, Python, Shell Scripting
• Embedded Systems & Firmware
• IoT, RTOS, Bare Metal
• Memory Management & Device Drivers
• Communication Protocols
• Camera, Motor & Vision Systems
• Basic AI/ML understanding
• Electrical & Mechanical Design understanding