Altera (altera.com)
Senior Hardware/Software ML Inference IP and Compiler Developer
Senior Hardware/Software ML Inference IP and Compiler Developer
Altera is one of the world's leading providers of programmable solutions. With a renewed focus on agility and software-first useability, Altera is shaping the future of computing by providing flexible technology, empowering innovators with scalable products, from high-performance to power- and cost-optimized devices for cloud, network, and edge applications. Join Altera’s FPGA AI Suite team to create, build, and deliver our future FPGA technology!
As a Senior Engineer, you have experience with hardware, software, and machine learning inference. You are comfortable sharing your knowledge and expertise to help push the overall team to greater heights. You enjoy thinking about how best to execute ML inference on hardware, and how to co-optimize that with the software compiler; you have the ability to drive architectural exploration to fully understand and defend the optimization trade-offs. You are comfortable and enjoy navigating both the software and hardware realms to co-optimize the soft IP and compiler for ML inference. You like to work collaboratively and drive these ideas in a small team, located in prime Toronto location at the corner of Bloor and Avenue.
Our compensation is designed to reflect the Canadian labour market. The actual salary offered may vary based on several factors, including the position’s location, as well as the candidate’s experience, skills, training, and job-specific knowledge. In addition to base salary, we offer performance-based incentive opportunities that reward both individual contributions and overall company success.
Estimated Salary Range: $139.0k – $201.2k CAD
We use artificial intelligence to screen, assess, or select applicants for the position. This posting is for an existing vacancy. Canadian work experience is not required for this role.
Minimum Qualifications
Undergraduate or greater degree in Electrical Engineering or a related field
10+ years of industry experience, including software development, hardware development, and an understanding of the nuts and bolts of machine learning inference
The ideal candidate will have experience using FPGAs and writing soft IP for them
