Autómatika engineer állások Budapesten (it programozás, fejlesztés)

Software design and test of reference application processor firmware Low level software development, test and debug on various platforms including software models, development boards and shipping products Creation of software stacks for Arm’s reference platforms for future Arm devices Development...

Development and maintenance of scalable web applications using Angular or React Building and optimization of RESTful APIs and microservices using Node.js, Java, or .NET Definition and management of cloud infrastructure using Infrastructure as Code such as Terraform or OpenTofu Working with...

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

End-to-end ownership of assigned application areas within ERP LN and related platforms Monitoring, troubleshooting, and resolving complex technical and performance issues Driving root-cause analysis and ensuring sustainable fixes implemented Ensuring system stability, performance, and compliance...

Cooperation with software teams to establish and implement quality processes at every stage of the development cycle Development of automated test cases for firmware and Linux-based systems including bootloaders, kernel, device drivers and applications Driving improvement at every step of the...

Build and evolve CI infrastructure validating performance methodologies across cloud, on-prem, and hardware targets Design controlled, reproducible test environments to distinguish real regressions from environmental noise Build synthetic workloads and targeted microbenchmarks including Arm...

Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems Build automated AI testing and evaluation frameworks Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities Shape and develop the teams AI platform infrastructure...

Design and own secure, scalable services Guide technical decisions and evaluate trade-offs including AI-driven components Leverage AI tools to accelerate coding, debugging, testing, and prototyping Advise on appropriate AI use including model concepts, prompt patterns, ethical and privacy...