EM-IN-Embedded C Engineer

embIND Embitel Technologies (India) Private Limited

Bengaluru

On-site

INR 800,000 - 1,200,000

Full time

14 days+
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Job summary

embIND Embitel Technologies (India) Private Limited is seeking an experienced Embedded Control Algorithms Engineer to join its CIMI embedded engineering team in Bengaluru, India. You will collaborate closely with teams in Seattle and Germany, focusing on application software development for advanced vehicle control functions.

The role demands expertise in embedded software, automotive communication, and control systems. Responsibilities include designing algorithms for vehicle leveling and implementing embedded state machines. Ideal candidates should have strong experience with C/C++, control theory, and automotive diagnostics.

Qualifications

  • Strong proficiency in Embedded C/C++ for automotive-grade microcontrollers.
  • Solid understanding of Automotive CAN networks and hands-on experience with diagnostic tools.
  • Proven background in control theory and signal processing techniques.

Responsibilities

  • Design and implement embedded application software for vehicle control systems.
  • Develop algorithms to level a parked RV chassis using onboard accelerometer data.
  • Implement state-machine logic for dynamic inflation and deflation of vehicle axles.

Skills

Embedded Software
Automotive Communication & Diagnostics
Control Systems & Modeling
Embedded Architecture

Tools

Vector CANalyzer
Vector CANoe

Job description

Job Description

We are seeking an experienced Embedded Control Algorithms Engineer to join the CIMI embedded engineering team. The role involves close collaboration with the Seattle-based engineering team and the Oviduo team in Germany. The engineer will focus on Application Software (ASW) development for advanced vehicle control functions, working on real systems with tight integration between software, hardware, and physical vehicle behavior.

Key Responsibilities
Application Software & Control Algorithms

Design and implement embedded application software for vehicle control systems, focusing on control theory, vehicle dynamics, and physics-based modeling. Develop, test, and validate control algorithms on real hardware using onsite test benches.

Auto-Leveling Algorithms (DSP Filtering)

Develop algorithms to automatically level a parked RV chassis using onboard accelerometer data. Design and implement Digital Signal Processing (DSP) filters such as low-pass filters and Kalman filters to remove engine and compressor vibration noise from the raw gravity vector.

Axle Load Estimation

Design a high-accuracy software model to estimate physical load on each vehicle axle using pneumatic pressure transducer data. Develop compensation lookup tables (LUTs) to account for airbag rubber hysteresis, suspension mechanical friction, temperature-dependent effects, and other dynamic factors.

Axle Control

Implement embedded state-machine logic to dynamically inflate and deflate the rear tag axle, lock and unlock the tag axle steering mechanism, and integrate vehicle speed limits received via CAN to ensure safe and compliant operation.

Embedded Integration & Diagnostics

Work with Hardware Abstraction Layers (HAL) and support porting and integration of legacy embedded codebases. Support debugging, testing, and validation using automotive diagnostics and CAN tooling.

Required Skills & Qualifications
  • Embedded Software: Strong proficiency in Embedded C/C++ for automotive-grade microcontrollers; experience working close to hardware with real-time constraints.
  • Automotive Communication & Diagnostics: Solid understanding of Automotive CAN networks; hands‑on experience with Vector tools such as CANalyzer and CANoe; familiarity with UDS diagnostics (ISO 14229).
  • Control Systems & Modeling: Proven background in control theory, including PID control loops; strong experience in signal processing, DSP fundamentals, and filtering techniques; knowledge of mechatronics and physics-based system modeling.
  • Embedded Architecture: Experience working with HAL layers and adapting or porting existing embedded software stacks; ability to work across software, hardware, and systems engineering boundaries.
Nice-to-Have Qualifications
  • Experience with automotive, commercial vehicle, or RV systems.
  • Hands‑on experience with test benches and physical system validation.
  • Experience working in distributed, international engineering teams.
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