Ceva

AI Software Architect

Ceva Raanana, Center District, Israel

Semiconductor Manufacturing · 201-500 employees

9 h ago
software-architect Principal (10+ yrs) Full-time Israel
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About the role

Lead the architecture and design of Ceva’s NPU software toolchain, translating AI application requirements into software and system architecture while evaluating hardware and software proposals. Guide development teams, create supporting tools such as simulators and profilers, represent Ceva in customer discussions, and contribute to technology roadmaps.

What they look for

Software Architecture Embedded Software Python C++ Neural Processing Units AI Software Toolchains Machine Learning Generative AI Neural Networks Performance Optimization Linux Kernel Device Drivers Runtime Frameworks Technical Leadership Customer Communication

Requirements

Requires a bachelor’s degree in engineering, computer science, or a related technical field, at least 5 years of software architecture experience, and at least 8 years of software development experience. Candidates should be proficient in Python and C++, have a track record in embedded AI or vision software architecture, and demonstrate strong communication, collaboration, and leadership skills.

Full description

About the AI Division

The AI Division is a unique and dedicated group within Ceva, driving innovation in Machine Learning and Generative AI architectures for edge devices and cloud inference.

Our R&D domains span Neural Network Processors (NPU), Vision DSPs, and advanced AI algorithms for applications across smartphones, tablets, automotive, surveillance cameras and many more edge AI systems.

We combine cutting-edge hardware IP design with embedded software and system-level solutions, enabling the next generation of intelligent and energy-efficient devices.

About the Role:

In this role, you will be shaping the future of Ceva’s AI software stack for Neural Processing Units (NPUs). You will lead software architecture, define performance-critical components, and enable efficient execution of advanced neural networks under tight power, memory, and latency constraints.

You will work closely with hardware and system architects, software and hardware engineers, influencing both software and hardware decisions. You will design and implement major parts of Ceva NPU embedded solutions, actively promoting Ceva AI capabilities to the customers.

We are seeking a high-impact motivated Software Architect to join our team and help shape the future of our advanced neural network AI Software Toolchain over Ceva’s AI computing processors.

Responsibilities

Lead Software Architecture specification and supervise design for the most advanced Software Toolchain handling state-of-the-art Neural Processing Unit operation.

Collaborate proactively with Product, Architecture, VLSI and Software teams to promote software leadership over various markets and compute SoCs.

Explore and translate state-of-the-art neural network and AI applications requirements into software architecture flows, encompassing hardware, software, tools and other components.

Evaluate architecture proposals, internal and external IP features and provide influential and inspirational leadership across hardware and software to align all parties to a common vision of architecture & technology development.

Represent Ceva with high technical credibility in customer meetings, appropriately incorporating feedback.

Boost velocity of development teams by providing technical guidance and by constantly looking ahead to anticipate and resolve future challenges.

Conduct experiments, invent and drive development of supporting tools such as simulators, models, profilers, and other methods as required.

Engage with engineering leadership and product planning stakeholders to develop technology roadmap.

Requirements

  • B.Sc in Engineering, Computer Science, or related technical field.
  • 5+ years of experience as SW Architect.
  • 8+ years of experience as SW developer.
  • Proficiency in Python, C++.
  • Proven track record in Software Architecture development, maintenance and improvement over embedded processors in AI and vision domains.
  • Excellent communication skills, both verbally and in writing. Collaborative and influential across organizations.
  • Proven ability to advance initiatives effectively in ambiguous and dynamic environments.
  • Ability to work and operate in a highly dynamic environment.

Advantages:

  • Experience in implementing embedded SW over SoCs /DSPs/NPUs.
  • Experience in Linux Kernel and drivers’ development.
  • Familiarity with runtime frameworks such as ExecuTorch, MLIR iree, Onnx runtime.

צבא

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