FPGA Machine Learning Overlay and Compiler Engineer

Posted 7 Days Ago
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Toronto, ON
In-Office
Senior level
Artificial Intelligence • Internet of Things • Machine Learning • Semiconductor
The Role
Architect and implement soft IP blocks for machine learning on FPGAs, enhance compiler flows, and evaluate silicon architectures for integration.
Summary Generated by Built In
Job Details:

Job Description:

Join Altera, a pioneer in programmable logic solutions, where innovation meets practicality We empower system, semiconductor, and technology companies to rapidly and cost-effectively differentiate and excel in their markets. Our legacy of innovation is matched by our commitment to our clients, whom we serve through a robust distribution network and a dedicated sales force. Our portfolio spans programmable logic products, acceleration platforms, software, and IP, all designed to accelerate the pace of innovation. 

What You Will Do 

As an FPGA Machine Learning Overlay and Compiler Engineer, you will architect and implement soft IP blocks to accelerate advanced machine learning algorithms on our FPGAs, while also contributing to the compiler stack that targets these IPs. Our team creates integrated IP and software solutions that allow customers to deploy cutting-edge ML workloads on Altera FPGAs.

Your responsibilities will include:

  • Designing and optimizing FPGA overlay IP, leveraging numerical precision flexibility, memory hierarchies, and advanced tensor DSP blocks.

  • Enhancing compiler flows to efficiently map machine learning graphs onto our IP, ensuring high utilization and performance across diverse workloads.

  • Evaluating forward-looking silicon architectures and adapting both IP and compiler features to take advantage of new, undisclosed hardware capabilities.

This role provides a unique opportunity to work at the intersection of hardware and compiler technology, enabling the next generation of machine learning acceleration on reconfigurable platforms.

The successful candidate will join a team with a strong, supporting culture. Our team in turn is part of a larger Altera site that is one of the largest engineering sites within Altera, and recognized for a fun, flexible, and high-performing culture. 

Qualifications:

What We Want to See  

  • We are seeking someone with a Bachelor's Degree and 5+ years of experience, or equivalent academic work, writing software and/or RTL related to machine learning acceleration on FPGAs. 

 

Ways to Stand Out from the Crowd (Preferred Qualifications)  

  • Experience in both RTL and software

  • Master's Degree

Job Type: Regular

Shift:Shift 1 (Canada)

Primary Location:Toronto, Ontario, Canada

Additional Locations:

Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Top Skills

Fpga
Rtl
Software
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The Company
HQ: San Jose, California
1,612 Employees
Year Founded: 1983

What We Do

Altera: Accelerating Innovators
Altera provides leadership programmable solutions that are easy-to-use and deploy in applications from cloud to edge, offering limitless AI possibilities. Our end-to-end broad portfolio of products including FPGAs, CPLDs, Intellectual Property, development tools, System on Modules, SmartNICs and IPUs provide the flexibility to accelerate innovation. Altera is helping to shape the future through pioneering innovation that unlocks extraordinary possibilities for everyone on the planet.

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