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Skills: C++, C, Embedded Software, AI Graph Compiler, NPU Architecture
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Full-time
bachelor degree, postgraduate degree
Posted 33d ago
~40 hrs/week
Responsibilities
Design and implement the AI Graph Compiler software stack for Neural Processing Units (NPUs) to enable efficient neural network execution. Lead performance optimization for edge deployments and collaborate on hardware-software co-design to influence NPU architecture.
Requirements
Requires over 7 years of experience in high-quality embedded software development using C/C++ and a degree in Computer Science or Electrical Engineering. Candidates must have experience with tight memory and power constraints and strong English communication skills.
Full job 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 a key contributor to the design and implementation of Ceva’s AI Graph Compiler software stack for Neural Processing Units (NPUs). You will take part in defining software architecture, implementing performance-critical components, and enabling 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.
What will you do:
Own and design key components of the AI Graph Compiler software stack for NPU-based systems.
Lead optimization of inference performance (latency, throughput, memory footprint, power) for edge deployments
Collaborate on HW–SW co-design, influencing NPU architecture
Support IP evaluations and silicon bring-up, root-cause complex HW/SW issues, and influence development methodologies
Mentor junior engineers and contribute to technical best practices
Requirements
7+ years of experience in building high-quality embedded software using C/C++.
BSc/MSc in Computer Science, Electrical Engineering, or equivalent.
Experience developing and maintaining embedded systems, including multi-component software stacks, tight HW/SW integration, and system-level debugging
Experience in designing and implementing software based on product & hardware specifications
Experience working under tight memory, power, and real-time constraints
Strong English proficiency with the ability to communicate clearly and effectively in writing and verbally.
Advantages:
Proficiency in Python coding
Experience in data-flow optimization using profiling tools
Ceva powers the Smart Edge, bridging the digital and physical worlds to bring AI-driven products to life.
Our Ceva AI fabric portfolio of silicon and software IP enables devices to Connect, Sense, and Infer – the essential capabilities for the intelligent edge. From 5G, cellular IoT, Bluetooth, Wi-Fi, and UWB connectivity to scalable Edge
AI NPUs, AI DSPs, sensor fusion processors and embedded software, Ceva provides the foundational IP for devices that connect, understand their environment, and act in real time.
With more than 20 billion devices shipped and trusted by 400+ customers worldwide, Ceva is the backbone of today’s most advanced smart edge products – from AI-infused wearables and IoT devices to autonomous vehicles and 5G infrastructure. Our differentiated solutions deliver seamless integration into existing design flows, total flexibility to combine solutions based on design needs and ultra–low–power performance in minimal silicon footprint, helping customers accelerate development, reduce risk, and bring innovative products to market faster. As technology evolves toward Physical AI, Ceva’s IP portfolio lays the foundation for systems that are always connected, contextually aware, and capable of intelligent, real-time decision-making.
Offices: 15245 Shady Grove Road, Suite 400, Rockville, Maryland 20850, US · 1174 Castro Street, Suite 210, Mountain View, California 94040, US · Maskit, 2, Herzliya, 4612001, IL · 400, avenue Roumanille, Les Bureaux Green Side 5, Bat 6, Sophia Antipolis, Biot, 06410, FR · Airport Business Park Kinsale Road, Unit A2, First Floor Building 6500, Cork, IE
How many Technology jobs are open in Belgrade, Serbia right now?
There are currently 400 open technology positions in Belgrade, Serbia listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Technology roles in Belgrade, Serbia?
Companies currently hiring include NCR Atleos, NCR Voyix, Wargaming, IGT, Nebius Group, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Technology jobs in Belgrade, Serbia?
Yes — 242 of the 400 open technology positions offer remote or hybrid work (91 remote, 151 hybrid).
How do I apply for Technology jobs in Belgrade, Serbia?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.