Neural Network Processing Firmware and Compiler Engineer

Collabera; Markham; On-site; CAD 110,000 - 170,000; Full time

Job summary

Collabera is seeking a Neural Network Processing Firmware and Compiler Engineer in Markham, Ontario, to develop and verify firmware for neural network processing on ARM-based hardware. The role involves building real-time embedded software, buffer management, and cross-core communication, with extensive debugging across hardware and simulators.

The candidate will create and optimize compiler software for proprietary hardware, and develop scripting utilities in Python, Bash, PERL, and C#.

Qualifications

• Experience developing commercial firmware and hardware for neural network processing and real-time drivers.
• Experience developing compiler/optimization software and tools.
• Hands-on practice measuring, debugging, and solving performance bottlenecks.
• Proficient in C/C++ with embedded programming on multi-processor platforms; optimization skills.

Responsibilities

• Develop, verify, and commercialize firmware for neural network processing on ARM-based processors.
• Design and implement real-time embedded software and firmware for buffer management, interrupts, and multi-processor communications.
• Develop Python/Bash/PERL/C# scripts and utilities.
• Design, execute, and debug software/firmware on hardware simulation and emulation targets.
• Develop compiler software to optimize performance of proprietary hardware.

Skills

C/C++ programming

Embedded software development

Real-time systems

Multithreading

Performance debugging

Tools

JTAG

FPGA simulation

Hardware emulation

Job description

Neural Network Processing Firmware and Compiler Engineer

• Full-time

Job Purpose

• Position exists for a highly motivated individual with the ability to learn quickly and work independently within a multidisciplinary, dynamic, and fast paced organization building next generation mobile devices.
• Develop, verify, and commercialize firmware for neural network processing technology on cutting edge processors and proprietary hardware for advanced machine learning use cases.
• Design and implement real-time, embedded neural network processing software and firmware executing on ARM based processors.
• Design and implement embedded software for buffer management, interrupt handling, multi-processor communications, and embedded hardware device drivers
• Develop scripts and utilities in Python, Bash, PERL, C #, and other scripting languages.
• Design, execute, and debug, software and firmware on new hardware simulation, and emulation, target platforms.
• Design and develop compiler software to optimize performance of proprietary hardware

Minimum Qualifications

• Experience developing commercial firmware and hardware in areas such as neural network processing, machine learning, real-time hardware drivers, and system level software and services.
• Experience developing compiler and optimization software and tools.
• Hands on experience measuring, debugging, and providing solutions for performance bottle necks.
• proficient in C/C++ programming language with strong embedded programming experience on multiprocessor platforms, including size, cycle, and performance optimizations.
• Assembly programming experience is an asset
• Ability to develop and debug embedded software and firmware spanning multiple processor cores and subsystems in real-time, multitasking, multithreaded environments, including reading schematics, debugging hardware, and proficiency with JTAG and other lab and test equipment.
• Experience working with hardware simulation/emulation(FPGA) environments
• Strong verbal and written communications skills and experience working within a dynamic team environment requiring extensive interactions with cross site peers and teams.

Preferred Qualifications

• 3-5+ years of development experience preferred - Experience with different operating systems, data structures, computer architectures - Machine learning and neural network framework (Caffe, Tensor Flow) experience