AI Embedded Software Engineer
Posted Jun 17 · 0 applicants
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The role in plain words
- Significant experience in Embedded Software Engineering, with a deep focus on C/C++
- Deep understanding of performance constraints (Latency, Power, Memory) in Edge AI or mobile environments
- Experience in HW-SW co-design and a solid understanding of computer architecture
- Ability to architect complex software systems and influence hardware roadmaps
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Who this suits
Full job description
Original listing · kept for referenceA high-profile Global Tech Leader specializing in advanced wireless communication, smart sensing, and AI-driven semiconductor solutions.
The company’s AI division is a global powerhouse of innovation, designing next-generation Neural Network Processors (NPU) and Vision DSPs.
By integrating high-end IP design with sophisticated embedded software, the organization enables high-performance, energy-efficient AI inference across hundreds of millions of devices.
Located in Central Israel (adjacent to major transit hubs), the company offers an elite R&D environment with a flexible hybrid work model (2 days WFH).
Responsibilities-
Software Architecture Design: Defining and building critical components of the Edge AI software stack, ensuring seamless execution of neural networks under strict power, memory, and latency constraints.
Performance Optimization: Leading the optimization of inference performance (latency, throughput, memory footprint) for complex edge deployments.
HW–SW Co-Design: Collaborating with hardware and system architects to influence future NPU architectures and drive silicon-level innovations.
Silicon Bring-up & Evaluation: Taking a proactive role in IP evaluations and silicon bring-up, identifying complex hardware/software bottlenecks and defining development methodologies.
Technical Leadership: Mentoring junior engineers and leading high-impact technical initiatives within a multidisciplinary R&D group.
Expert-Level Development: Hands-on development in C/C++ within a high-performance embedded environment.
Requirements-
Technical Seniority: Significant experience in Embedded Software Engineering, with a deep focus on C/C++ – Mandatory.
Domain Expertise: Proven track record in developing software stacks for AI Accelerators, NPUs, or DSPs – Mandatory.
Optimization Mastery: Deep understanding of performance constraints (Latency, Power, Memory) in Edge AI or mobile environments – Mandatory.
Hardware/Software Synergy: Experience in HW–SW co-design and a solid understanding of computer architecture – Mandatory.
System-Level Vision: Ability to architect complex software systems and influence hardware roadmaps.
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Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- Significant experience in Embedded Software Engineering, with a deep focus on C/C++, Deep understanding of performance constraints (Latency, Power, Memory) in Edge AI or mobile environments, Experience in HW-SW co-design and a solid understanding of computer architecture, Ability to architect complex software systems and influence hardware roadmaps