SW Group Manager

2 weeks ago

Herzliya, Tel Aviv, Israel BTC searching Full time

Group Manager – Embedded Software for AI Systems

Location:
Herzliya, Israel – Hybrid (2 days from home)

Company size:
400+ employees

About the Company

Our client is a global leader in
semiconductor and AI technologies
, developing software and hardware solutions that enable efficient execution of deep learning models on
embedded platforms
.

Position Overview

This is a
senior hands-on group management role
, leading three development teams (about 15 engineers in total).

The ideal candidate is an
experienced Embedded Software Group Manager
— someone who has led multiple software teams (through team leaders), delivered complex real-time systems, and understands how to optimize software performance on custom hardware.

You'll be joining the company's AI division, where embedded software meets deep learning execution. You don't need to be an AI researcher — but you
must bring deep embedded expertise
and the ability to lead teams that are integrating
AI workloads and compiler technologies
into embedded environments.

Key Responsibilities

  • Lead and mentor three software development teams, including team leaders, fostering a high-performance culture.
  • Define and execute the group's roadmap for
    embedded software and AI model execution
    on heterogeneous platforms (CPU/DSP/NPU).
  • Oversee the design and development of
    low-level runtime, optimization, and compiler-related components
    .
  • Collaborate with global hardware and algorithms teams to achieve maximum system efficiency and scalability.
  • Drive innovation, architecture discussions, and delivery of high-quality software under real-time and performance constraints.

Requirements

  • B.Sc. in Computer Science / Computer or Electrical Engineering (M.Sc./Ph.D. – advantage).
  • At least 5 years of experience managing embedded software development groups
    , including leading team leads.
  • Proven background in
    embedded software / real-time / low-level programming
    in C/C++.
  • Solid understanding of
    performance optimization
    , memory management, and multi-core architectures.
  • Experience delivering large-scale embedded software products in commercial or semiconductor environments.

Preferred / Advantageous Experience

  • Exposure to
    AI-based or computer-vision products
    (TensorFlow, PyTorch, ONNX).
  • Familiarity with
    compiler technologies
    or model optimization frameworks (TVM, XLA, MLIR).
  • Experience with
    heterogeneous architectures
    (CPU/DSP/NPU) and software–hardware co-design.
  • Understanding of
    quantization, vectorization, scheduling
    , and runtime optimization.
  • Experience collaborating with global R&D teams.

Why This Role?

This is a rare opportunity for
embedded software leaders
to step into a strategic role that combines deep embedded expertise with the cutting edge of AI computing. You'll lead multidisciplinary teams, shape core software infrastructure, and help define how next-generation AI models run efficiently on embedded hardware.

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