Interested in working on algorithmically-complex C++ code to squeeze out every last bit of performance? Actually using advanced computer science knowledge outside of interviews and programming competitions? Optimizing graph-based algorithms simultaneously for runtime, memory, and quality of the resulting solution? Understanding the hardware as well as the software? Then working on Quartus, Intel's compiler for FPGAs, is for you.
You will work in a downtown Toronto location, with an amazing and diverse group of talented engineers, on some of the most intellectually challenging problems in the world, and your work will directly benefit areas like AI, telecommunications, healthcare, aerospace, finance and more.
I am looking to hire specifically for the Timing Analysis team, which is responsible for one of the most critical components in the Quartus compilation flow (all compilation decisions are ultimately aimed at making the resulting FPGA design faster, and to determine the impact of various decisions on speed you need a robust and efficient timing engine). My colleagues are hiring for other roles. Canadian citizens or Permanent Residents preferred.
Please feel free to ask any questions here in comments, or send a resume to evgeny dot osovetsky at my company name dot com.