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Showing 10 jobs
Skills:
Device Drivers, C, shell scripting, Python, security features, WiFi performance tuning, rate control algorithms, Linux WiFi stack, 802.11 standards, embedded platforms, Linux operating systems, hostapd, system-level concepts, computer networking fundamentals, Wi-Fi experience, power management, MAC layer PHY interaction
Skills:
Golang, Distributed Systems, MLops, Kubernetes, Python, GenAI, MCP, ML model, Backend as a service, EKS
Skills:
Java, Api Management, Azure Functions, Data Integration, Azure Cloud Integrations, Logic Apps, Service Bus, Event Grid, Azure Monitor, Microservices Architecture
Skills:
Fpga, L1, L2, virtualization, L3, Shell, Linux, Python, Lte, Ran, cloud-native RAN, RU, NR, containerized deployments, O-RAN, FW, DU, 5G, 4G, FAPI, Oam
Skills:
.NET, .Net Core, Design Patterns, Dependency Injection, Solid Principles, SQL Server, API design, Cloud Technologies, Unit Testing, Automated Testing, Angular, Devops, Typescript, Docker, Entity Framework Core, RESTful Web APIs, ASP.NET Core
Skills:
power integrity , Perl, Python, Tcl, Sta, primetime, Cadence Innovus, Tempus, EM IR analysis, Voltus
Skills:
Machine Learning, Distributed Systems, Tensorflow, Pytorch, Predictive Analytics, Python, Big Data, Clustering, Deep Learning, MLops, Spark, GenAI, Telemetry Analytics, Data Pipelines, Random Forests, MLflow, Vector Databases, Time-Series Forecasting, AIOps, LLMs, Production AI Systems, anomaly detection, Cloud Data Architecture, Statistical Modeling
Skills:
Algorithms, Golang, Tcp, Windows, Docker, Macos, Tls, Python, AWS, Gdb, Http, SSL, Rest Services, Smtp, Jenkins, Gcp, Linux, Advanced Data Structures, Valgrind, Azure, Kubernetes, Drone, ML models, AI tools
Skills:
Shell, Perl, Scripting, Tcl, debug methodologies, automation using Python, Uvm, assertion-based verification, systemverilog, regression frameworks, coverage closure, formal verification, Functional Verification
Skills:
Technical Leadership, Foundation model API integration, Production-grade agentic AI system design and development, AI Observability Monitoring, LLMOps, Cloud AI Platforms Services, AI Governance Lifecycle Management, Cloud-Native Infrastructure Deployment, Graph-RAG architectures, Technical communication and documentation, Agent orchestration frameworks, Agentic AI, Multi-Agent Systems, AI Cost Management, Embedding strategies, MCP and AI tool integration architecture
