Full-Time

FPGA Design Engineer

Confirmed live in the last 24 hours

d-Matrix

d-Matrix

51-200 employees

AI compute platform using in-memory computing

Data & Analytics
Hardware
AI & Machine Learning

Mid, Senior

Santa Clara, CA, USA

Required Skills
Verilog
Python
Management
Mergers & Acquisitions (M&A)
VHDL
FPGA
Requirements
  • Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field
  • Minimum of 5+ years of experience in FPGA design and verification
  • Expertise in hardware design using Hardware Description Languages (HDLs) like Verilog or VHDL
  • Familiarity with RISC-V architecture and embedded systems development
  • Understanding of hardware-software integration concepts
  • Experience with scripting languages like Python for test automation
  • Strong analytical and problem-solving skills
  • Experience with industry-standard management protocols (MCTP, PLDM, SPDM)
  • Experience with platform BMC (Baseboard Management Controller)
  • Knowledge of power management techniques (PMBus)
  • Knowledge of hardware security and secure boot concepts
  • Experience with cloud server architectures and concepts
Responsibilities
  • Design and verify FPGA-based solutions for d-Matrix AI inference accelerator management
  • Define FPGA microarchitecture specifications and collaborate with stakeholders to ensure alignment with project requirements
  • Develop resilient dual boot architecture for multi-core multi chiplet booting
  • Design and implement hardware and software modules for platform power management, health monitoring, and telemetry data acquisition
  • Interface with host server BMC through SMBus mailbox with management protocol overlays such as MCTP, PLDM and SPDM
  • Integrate RISC-V CPU cores and related firmware into FPGA designs
  • Develop eFuse controller within the FPGA
  • Design and integrate a secure boot solution adhering to NIST standards within the FPGA to enable secure booting of d-Matrix accelerator chiplets
  • Collaborate with cross-functional teams to ensure seamless hardware-software integration and support inference accelerator hardware bring-up and troubleshooting
  • Author Python scripts for hardware testing and automation

d-Matrix is developing a unique AI compute platform using in-memory computing (IMC) techniques with chiplet level scale-out interconnects, revolutionizing datacenter AI inferencing. Their innovative circuit techniques, ML tools, software, and algorithms have successfully addressed the memory-compute integration problem, enhancing AI compute efficiency.

Company Stage

Series B

Total Funding

$161.5M

Headquarters

Santa Clara, California

Founded

2019

Growth & Insights
Headcount

6 month growth

0%

1 year growth

33%

2 year growth

203%