DSP Radar Algorithm Developer

0 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Acsia Technologies is hiring for DSP Radar Algorithm Developer

Job Location - Trivandrum


Exp - 5 to 10 yrs


Role Overview

As a Radar Developer for the Client radar program, you will be responsible for developing and integrating radar signal processing algorithms and embedded software for next-generation automotive radar systems. You will collaborate with global teams to deliver high-performance radar solutions aligned with Client’s safety, performance, and compliance standards.



Key Responsibilities

Radar Signal Processing & Algorithm Development

  • Design and implement radar algorithms: FFT, Doppler, clustering, tracking, angle estimation.
  • Optimize radar pipeline blocks for performance and memory.
  • Develop custom modules for urban clutter, multipath mitigation, and low-SNR scenarios.

Embedded Software Development

  • Develop radar firmware for automotive-grade ECUs.
  • Port algorithms to DSPs and FPGAs (TI, NXP, Infineon).
  • Implement drivers and middleware for radar sensor integration.
  • AUTOSAR

Calibration & Testing

  • Perform range, angle, and velocity calibration.
  • Support radar-in-the-loop, HIL, and SIL testing.
  • Validate radar performance under real-world driving conditions.

System Integration & Validation

  • Integrate radar with vehicle platforms and sensor fusion stacks.
  • Conduct scenario-based validation and ensure compliance with ASPICE, ISO 26262, and NCAP radar protocols.

Lifecycle Support & Diagnostics

  • Support radar calibration during production and after-sales.
  • Analyze field issues and provide fixes for deployment challenges.



Required Skills & Experience

  • Strong foundation in radar physics, RF fundamentals, and MIMO radar.
  • Proficiency in C/C++, Python, MATLAB.
  • Experience with AUTOSAR BSW stack and UDS.
  • Familiarity with radar SDKs, embedded platforms, and RTOS.
  • Hands-on experience with radar testing tools (CANoe, radar chambers).
  • Knowledge of AI/ML-based radar perception is a plus.


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