Hardware Systems Engineer
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Role details
Tech stack
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Job description
Extropic is hiring a Hardware Systems Engineer to help accelerate our software/hardware development. The ideal candidate would be someone with a passion to develop the best software and hardware solutions.Desired ExperienceExperience in designing real-time digital signal processing systems using FPGAsExperience in signal processing algorithm development and/or optimizationExperience in system verification and validation for efficiency and reliabilityExperience in designing and testing with FPGAs-Experience with VHDL and/or VerilogHands-on experience with scopes and logic analyzersExperience with PCB design and layoutFamiliarity with standard hardware protocols (SPI,I2C,USB,PCIe,MIPI,UART)Strong programming skills - Python, C etc.,Excellent written and verbal communication skillsExperience with writing software/HDL for highly parallelized hardware (GPU, FPGA).Experience and understanding of system level implementation of complex algorithms.Very few people will have all of these skills, so anyone with partial overlap is encouraged to apply!This position will require access to information subject to control under U.S. export control laws and regulations, including the Export Administration Regulations (βEARβ). Please note that any offer for employment will be conditioned on authorization to receive controlled items.
Requirements
- Experience in designing real-time digital signal processing systems using FPGAs
- Experience in signal processing algorithm development and/or optimization
- Experience in system verification and validation for efficiency and reliability
- Experience in designing and testing with FPGAs-Experience with VHDL and/or Verilog
- Hands-on experience with scopes and logic analyzers
- Experience with PCB design and layout
- Familiarity with standard hardware protocols (SPI,I2C,USB,PCIe,MIPI,UART)
- Strong programming skills - Python, C etc.,
- Excellent written and verbal communication skills
- Experience with writing software/HDL for highly parallelized hardware (GPU, FPGA).
- Experience and understanding of system level implementation of complex algorithms.
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