Javascript állás, munka

• Kamerabeállítások, élőkép, állapotok, felhasználók és felismerési események felületeinek fejlesztése
• A frontend felépítésének kialakítása a cégen belül már bevált megoldások és arculati elemek felhasználásával

• Egy komplex, üzleti szempontból kritikus, vállalati szinten használt alaptermék továbbfejlesztése agilis fejlesztői csapatban
• Dinamikus interfészek továbbfejlesztése
• Ügyfél- és kiszolgáló komponensek továbbfejlesztése

• Understanding new Arm architecture and IP features and their implementation
• Devising promotion of benefits to software ecosystems and resolving adoption issues
• Analysis and deep understanding of software solutions currently deployed in products

• Design and code clean, maintainable and high-performance custom-built solutions based on Java technologies and related frameworks
• Follow defined methodology and standards to create software of high quality

• Java alapú backend szolgáltatások fejlesztése és továbbfejlesztése
• Spring / Spring Boot alapú alkalmazások fejlesztése
• Komplex, nagy terhelésű és magas rendelkezésre állású rendszerek fejlesztése
• Több digitális csatornát és országot kiszolgáló backend megoldások kialakítása

• Maintenance of the Tulip Operating System including building, packaging, and support
• Configuration and maintenance of routing, networking, and device configurations
• Maintenance and addition of bootloader, kernel patches, and device trees on Tulip hardware
• Porting the Tulip OS to other hardware targets

Web alapú vállalatirányítási rendszer fejlesztése...

• Szakmai követelmények elemzése és tervezése szakértői csapattal, termékfelelősökkel és architektúráért felelős szakemberekkel együttműködésben
• Megoldási javaslatok kidolgozása kapcsolódó költségbecsléssel és egyeztetés az érintett felekkel

• Design, development and deployment of scalable, resilient and high-performance components for the Wise Assistant
• Ownership of intent detection systems, contact processing pipelines and routing logic for automation solutions

• Designing and developing backend services and APIs that support real-time data ingestion, transformation, and delivery
• Building scalable, low-latency, high-throughput systems capable of handling demanding performance requirements

• Working on the next generation vehicle's self-driving software
• Development of the internal data distribution and execution framework
• Integration of third-party frameworks
• Sensor data recording related tasks
• Development of human-machine interfaces and data visualization tools

• Design and implement APIs and domain services that abstract the complexity of using an LLM and enable rapid feature development from product teams
• Build scalable AWS infrastructure for LLM interactions, including prompt management, context handling, auditing, and response processing

• Design and development of low-level software to integrate new Arm architecture features across Linux, Android, and related userspace components
• Architecture, development, and optimization of core OS subsystems with a focus on performance, power efficiency, and security

• Design, build, and maintain large-scale distributed data systems
• Develop data processing pipelines using technologies such as Spark and streaming solutions
• Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

• Technical expertise and influence across LLVM compiler development for Arm and upstream
• Mentoring engineers inside the LLVM team and in the community
• Representation of Arm in the LLVM ecosystem with leadership in upstream contributions and community direction

• Participation in the whole lifecycle of development projects from planning to handover
• Maintaining existing cross-platform apps
• Developing cutting-edge projects while writing high-quality code
• Keeping up with the latest technology trends
• Communicating well with other team members

• Owning the quality architecture for the Scoring engine
• Prioritizing test strategies based on real-world risk
• Standardizing reusable patterns for the repository
• Building reliable automated coverage across UI, API, and deep service layers
• Operating as a power user of AI-first IDEs

• Design and implement data models aligned with industry best practices
• Build and optimize scalable data warehousing and lakehouse solutions and ensure data integrity end-to-end
• Create and own robust ELT pipelines connecting multiple internal and external data sources

• Embedding in the daily life of up to three engineering teams: Customer Platform and Scoring
• Ensuring technical design alignment with SEON's architectural best-practices
• Ensuring security, scalability, and compliance in technical designs

• Compiler development for custom NPU
• Performance estimator for runtime execution of different Neural Network workloads
• GPU-accelerated, bit-accurate, high-performance arithmetic simulator of the aiWare NPU
• Development of neural network compiler for custom NN accelerator hardware in C/C++ environment