Note: The job is a remote job and is open to candidates in USA. The client is building heterogeneous architectures for disaggregated computing and scalable AI infrastructure. The Senior FPGA Engineer will design, implement, optimize, and verify FPGA-based solutions, while debugging hardware, collaborating with cross-functional teams, and ensuring performance, power, and reliability targets are met.
Responsibilities
- Developing and refining FPGA modules
- Debugging complex hardware issues
- Collaborating with cross-functional teams (architecture, software, and validation)
- Ensuring designs meet performance, power, and reliability targets
- Contribute to design reviews
- Maintain documentation
- Help define best practices and methodologies for FPGA development within the organization
Skills
- Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience
- 8+ years of FPGA or digital-design experience with complex production or advanced-development systems
- Solid foundation in Electrical Engineering principles, particularly digital logic, timing, and hardware interfaces
- Strong proficiency in RTL Design for FPGA/ASIC, hands-on practical experience with HDLs such as Verilog, and strong practical experience with C/C++ HLS
- Hands-on experience with PCIe-connected FPGA platforms, DMA, AXI4/AXI4-Lite/AXI4-Stream, interrupts, and host integration
- Strong knowledge of HBM/DDR and on-chip memory architecture, pipelining, buffering, backpressure, CDC, reset, and timing closure
- Demonstrated capability in FPGA hardware verification and debug using simulation, assertions, coverage, reference models, automated regression, and ILA or equivalent tools
- Experience with AMD/Xilinx Vivado and Vitis HLS, plus Linux, Python, Tcl, Git, and C/C++ host software
- Familiarity with high-speed interfaces, memory subsystems, or networking protocols is beneficial
- Ability to collaborate in a multidisciplinary team, communicate technical concepts clearly, and document designs and test results
- Background in high-performance computing, AI and data analytics acceleration, or heterogeneous architectures is a plus
- Datacenter or cloud or edge FPGA platforms
- AWS F1/F2, distributed data-processing frameworks
- Database or analytics acceleration
- RDMA/networking, multi-FPGA systems
- Early-stage product development
Benefits
- Equity
- Medical insurance
- 401(k)
- Medical insurance
- Dental insurance
- Vision insurance
- Short-term disability insurance
- Life insurance
- AD&D insurance
- A 401(k) retirement plan
Company Overview
Company H1B Sponsorship