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Job Description:
Job Description
We are currently looking to add embedded software developers for the Embedded Software Solutions (ESS) group within the FPGA Business Unit (BU). The FPGAs and SoC FPGAs designed by the FPGA BU meet high-bandwidth connectivity and high-data throughput needs in applications such as Hybrid and Electric Vehicles, Communications IoT Infrastructure, Industrial Controls and Automation, Spacecraft, Commercial Aircraft, and Defense Equipment.
As part of the ESS Group, you will be involved in defining, implementing and enhancing Software of the RISC-V based SoC software Ecosystem. This position gives you an opportunity to work on various embedded software systems for safety critical applications as well as the systems targeted towards IoT, consumer and industrial applications.
Job Responsibilities
. Work as part of device drivers and boot software team for Microchip's PolarFire SoC FPGA family and other FPGA families.
. Enhance, support Linux device drivers and applications to demonstrate their usage.
. Triage complex issues to narrow down the problem area.
. Software testing including test specification, test implementation and test automation.
. Resolve customer issues in the delivered software and in-turn provide feedback and new ideas fot the ecosystem enhancement.
. Work with global teams across timezones to resolve cross functional issues
. Take part in documentation and code reviews and contribute to overall ecosystem
Requirements/Qualifications:
Qualifications and Experience . Bachelor's and/or Master's degree in Computer Science, Software Engineering or Electrical / Electronics. . 5to 8years of working experience in embedded Linux software development and/or bare metal embedded software development within industry, or relevant technical field. . Applications will be accepted from candidates who may not meet the educational requirements but have equivalent industry experience as demonstrated on their cv. Skill Sets . Strong C-programming skills and product development experience. . Familiarity with Assembly instructions. . Familiarity with benchmarking softwares such as CoreMark, FPMark etc. . Knowledge on at least one scripting languages: PERL, Python, Linux shells . Must possess strong debugging skills and the ability to approach problems systematically. . Must be able to interpret specification and standard documents well. . Excellent written and oral communication skills Big plus . Excellent debugging skills and proven experience of working with multiple teams to resolve cross functional issues. . Experience with safety critical systems and software standard such as ASPICE.Microchip Technology Inc. is a publicly-listed American corporation that manufactures microcontroller, mixed-signal, analog and Flash-IP integrated circuits.
Job ID: 147842511
Skills:
Bare metal embedded software development, Debugging skills, Assembly instructions, Embedded Linux software development
Skills:
FPGA Design Flow, Debugging and problem-solving skills, Timing Closure, Digital logic design using FPGAs, Timing Analysis, Verilog RTL design
Skills:
windows driver development , Device Drivers, Pcie, Debugging, Python, logic analyzers, CRB bring-up, system logs, Os porting, x86 assembly, BSPs, JTAG debuggers, system initialization, board bring-up, bare-metal and Linux-based embedded development, HAL layers, validation instrumentation, DDR5, DDR4, trace tools, x86 embedded software development, CPU schematics
Skills:
Java, C, Design Patterns, Windows, Cuda, Pytorch, Linux, Os Concepts, Opencl, Python, AI ML inference SDK development, Fixed-point representations, Object-oriented software development, Quantization concepts, Embedded Systems, TFLite, ONNX Runtime, Optimizing algorithms for AI hardware accelerators, Generative AI models, Kernel development for SIMD architectures, SIMD processor architecture
Skills:
Operating Systems, AI ML, Tensorflow, Pytorch, Distributed Systems, Computer Architecture, networking fundamentals, simulation frameworks, AI accelerators, interconnect and memory technologies, collective communication algorithms, distributed training frameworks, memory disaggregation, visualization tools, profiling telemetry observability and debugging tools, large-scale AI training pipelines, topology-aware scheduling, programming skills in Python
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