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We are looking for a hands-on Embedded Systems Engineer with AI/ML algorithm experience to develop next-generation Edge Control and AI solutions for Electric Vehicle applications. The role combines embedded firmware, real-time control, AI/ML algorithms, sensor processing and Edge AI deployment across battery, motor and power-electronics systems. Key Responsibilities Develop Embedded C/C++ firmware for real-time EV control applications.Develop and integrate control functions for BMS, motors, power electronics and sensors.Interface ADC, PWM, GPIO, timers, SPI, IC, UART and CAN/CAN-FD.Develop battery functions including SoC/SoH estimation, cell monitoring, balancing, diagnostics and protection.Develop BLDC/PMSM motor-control functions including FOC, SVPWM and current/voltage sensing.Develop embedded control for DC-DC converters, OBC and EV energy-management systems.Develop and deploy AI/ML algorithms for battery, motor and sensor applications.Develop TinyML/Edge AI solutions using TI MSPM0G5187 and AM13Ex MCUs with NPU acceleration.Prototype and validate Edge AI applications using NVIDIA Jetson, Raspberry Pi + AI HAT+ and Arduino VENTUNO Q.Perform board bring-up, debugging, testing and hardware/software integration.Optimize algorithms and embedded software for real-time performance, memory, latency and power consumption. Required Qualifications & Skills Bachelor's/Master's degree in Embedded Systems, Electronics, Electrical/Electronics Engineering, Computer Engineering, or a related field.23 years of hands-on embedded software/firmware development.Strong Embedded C/C++ programming skills.Good understanding of microcontrollers, real-time systems, interrupts, timers, ADC and PWM.Experience with CAN/CAN-FD, SPI, IC and/or UART.Fundamentals of AI/ML algorithms, signal processing or data-driven algorithms.Ability to implement/deploy algorithms on embedded platforms.Hands-on experience with JTAG/SWD, oscilloscope, logic analyzer and debugging tools.Good understanding of hardware-software integration. Preferred Skills BMS, motor control or power electronics.FOC, SVPWM and PI/PID control.TI MSPM0/MSPM0G, C2000, STM32, NXP or Infineon platforms.FreeRTOS or other RTOS.TinyML, Edge AI, NPU or embedded ML deployment.MATLAB/Simulink.Python and AI/ML frameworks.NVIDIA Jetson or Raspberry Pi.Git/GitHub.Automotive communication and diagnostics. Development Focus Battery Management | Motor Control | Power Electronics | Sensors | AI/ML Algorithms | TinyML/NPU | Edge AI | Real-Time Control | EV Energy Management What You Will Build Develop reusable Edge Control technologies from evaluation-board prototypes to functional demonstrators for future EV platforms. Sensor Embedded Control AI/ML Edge Inference Decision Real-Time Control Ideal candidate: An embedded engineer who can combine firmware development + control algorithms + AI/ML algorithms to solve real-world EV engineering problems. Interested in building the next generation of AI-enabled EV control systems Apply or DM us. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.