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Showing 10 jobs
Skills:
Git, Algorithms, C++, Linux, Data structures, CI/CD pipelines, Object-oriented design, Command-line tools
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:
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:
conformal lec , Clp, Perl, Python, Tcl, Fusion Compiler, Formality, LEC, MCMM methodologies, UPF, Cadence Genus, Synthesis, Synopsys Design Compiler, RTL-to-GDS, CPF, Low Power Verification
Skills:
Devops, Jenkins, Git, Docker, Kubernetes, Python, AgenticAI frameworks, R, AI ML engineering, CI CD tools
Skills:
clocking , Verilog, EDA tools for synthesis, LINT, Use of AI for design, cdc, SoC-level design and integration, Synthesis flows, Rtl Design, spyglass, VHDL, Verification methodologies, RDC, Digital design principles, Resets, Timing Constraints, Micro-architecture design, Low-power design techniques, Timing Analysis
Skills:
UVM (Universal Verification Methodology), SVA (SystemVerilog Assertions), C, C++, Shell, Pcie, Perl, Arm, Python, Tcl, Systemc, MCU, Hardware Emulation Platforms, RISC-V, UCIe, systemverilog, Verification Methodology, AMBA, Axi, Formal Model Equivalence Checking Tools, formal verification, VC Formal
Skills:
bedrock , S3, Machine Learning, Cloud Infrastructure, Tensorflow, API Design, Data Science, Lambda, Pandas, Pytorch, ECS, Python, AWS, Generative AI, Step Functions, scikit-learn, MLflow, EKS, SageMaker
Skills:
Java, C, Python, SIMD vectorization, Cache-aware execution, Performance profiling, Parallel execution strategies, qemu, Benchmarking, Optimization
Skills:
Golang, Node.js, Typescript, Distributed Systems, Kubernetes, Python, System observability, Containerized workloads, Cloud-native architectures, Infrastructure engineering, SRE practices, Resiliency design, ML GenAI applications
