Embedded Systems Engineer

1 day ago

Noida Sector Noida Uttar Pradesh, India Lizmotors Mobility Pvt Ltd. Full time ₹ 4,00,000 - ₹ 8,00,000 per year

As an Embedded Systems Engineer, you will focus on hardware-software integration and optimization to achieve minimal latency in processing pipelines. You'll work closely with AI engineers to deploy models on embedded platforms, ensuring reliable, efficient performance for real-time interactions.

Key Responsibilities:

  • Design and optimize end-to-end processing pipelines for low-latency operations, from input capture to output delivery.
  • Implement and integrate protocols like RTSP for real-time streaming, along with efficient codecs (e.g., Opus, AAC) to balance quality and bandwidth.
  • Support the deployment of AI models (e.g., detection, synthesis) on embedded hardware, optimizing for memory, power, and compute constraints.
  • Assist in preparing custom datasets by developing tools for data recording, formatting, and real-time simulation on embedded setups.
  • Ensure system reliability, including error handling, security, and compatibility across devices (e.g., Raspberry Pi, ARM-based MCUs).

Required Qualifications:

  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field.
  • 1-3 years of experience in embedded systems development, with a focus on real-time signal or data processing.
  • Proficiency in C/C++ and embedded programming environments (e.g., Linux-based systems, RTOS).
  • Strong knowledge of protocols (RTSP, RTP) and codecs, with experience in libraries like FFmpeg or libopus.
  • Familiarity with hardware interfaces (e.g., sensors, outputs) and optimization techniques (e.g., DSP acceleration, multi-threading).
  • Experience with embedded ML deployment (e.g., TensorFlow Lite, ONNX Runtime).

Preferred Skills:

  • Understanding of AI/ML concepts, especially in processing domains, to collaborate effectively on model integration.
  • Knowledge of search/indexing in embedded contexts (e.g., lightweight databases like SQLite).
  • Experience with dataset tools for embedded testing (e.g., simulating streams, handling compressed formats).

What We Offer:

  • Chance to innovate on embedded AI technologies with tangible applications.
  • Flexible remote work options.
  • Ongoing learning opportunities and cutting-edge hardware access

Job Type: Full-time

Pay: ₹400, ₹800,000.00 per year

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