A global trading firm is seeking an experienced engineer to architect machine learning solutions directly on custom hardware. The role involves designing and deploying ML engines and collaborating with various teams. Ideal candidates will have solid experience with FPGA or ASIC technologies, proficiency in languages like Python or C++, and an advanced degree in a relevant field. This position offers a competitive salary ranging from $200,000 to $225,000, along with benefits and bonuses.
Qualifications
Extensive FPGA or ASIC experience with VHDL, Verilog, or SystemVerilog.
Solid digital design understanding including pipelining and clock domain crossing.
Experience with FPGA tools like Vivado or Quartus.
Responsibilities
Design and deploy machine learning engines on custom hardware.
Collaborate with traders and researchers for ML model implementation.
Shape a greenfield initiative with the freedom to explore novel approaches.
Skills
Extensive experience with FPGA or ASIC technologies
Solid understanding of digital design principles
Experience with FPGA development tools
Understanding of machine learning fundamentals
Experience optimizing inference for ML models
Proficiency in Python, C++, or similar languages
Strong communication skills
Education
Advanced degree (MS or PhD) in Electrical Engineering, Computer Science, Physics, or related field
Tools
Vivado
Quartus
Synplify
Job description
A global trading firm is seeking an experienced engineer to architect machine learning solutions directly on custom hardware. The role involves designing and deploying ML engines and collaborating with various teams. Ideal candidates will have solid experience with FPGA or ASIC technologies, proficiency in languages like Python or C++, and an advanced degree in a relevant field. This position offers a competitive salary ranging from $200,000 to $225,000, along with benefits and bonuses.