FPGA Machine Learning Engineering - Graduate Intern
Torontoonsitejunior$69K – $73K
Posted today · via Workday
About this role
Job Details: Job Description: We are seeking a talented and motivated FPGA Machine Learning Engineering Graduate Intern to join our dynamic team. Our mission is to develop innovative IP blocks and hardware solutions that enable customers to accelerate machine learning workloads on Altera FPGAs. As an intern, you will contribute to the development and evaluation of quantization schemes optimized for our hardware, empowering customers to achieve optimal performance and efficiency when deploying ML models on FPGAs. You will gain hands-on experience with the FPGA AI Suite, including both hardware and software stacks, and work closely with senior engineers to analyze, design, and implement enhancements that improve the performance of ML workloads on Altera FPGAs.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, c++, pytorch, tensorflow
2
Level fit
This role is junior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Toronto. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonc++pytorchtensorflow
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