AI Software Engineer (C++)

Location:Toronto ON
Job Type:Full-Time
Industry:Technology / AI / Semiconductor

Our client is a global technology leader developing next-generation AI and machine learning solutions for mobile automotive IoT and edge computing applications.

We are looking for aMachine Learning / AI Software Engineerto join a highly technical team focused on building high-performance on-device AI this role youll work across the AI software stack developing and optimizing software that enables neural networks to run efficiently on specialized hardware.

This is an opportunity to work on cutting-edge AI technology collaborating closely with software hardware architecture and customer teams to deliver production-quality solutions.

• Develop and optimize software for AI and machine learning workloads running on specialized hardware.
• Design and implement optimization algorithms for ML operators and neural network layers.
• Enhance AI software frameworks to improve performance and resource utilization.
• Develop profiling debugging and developer tools to accelerate deployment of new neural network models.
• Evaluate and optimize neural network runtime performance efficiency and accuracy.
• Enable new AI models and software features based on customer requirements and use cases.
• Work closely with hardware and architecture teams to improve overall AI performance and capabilities.
• Collaborate with cross-functional engineering teams to deliver cohesive production-ready solutions.
• Contribute to software quality development processes and commercial product releases.
• Help drive technical ideas from concept through implementation and deployment.

• 5 years of professional software engineering experience ideally in AI/ML embedded systems or performance optimization.
• Bachelors degree in Computer Science Engineering Information Systems or a related discipline; Masters or PhD is an asset.
• Strong C programming skills and experience developing production software.
• Strong analytical problem-solving debugging and software development skills.
• Experience with Python and NumPy.
• Experience with deep learning frameworks such asTensorFlow or PyTorch.
• Experience developing software forAndroid or embedded Linuxis an asset.
• Experience optimizing algorithms for hardware acceleration using technologies such asOpenCL OpenGL ES DSPs or similar architectures.
• Strong understanding of mathematical and computational concepts including:
  • Linear algebra
  • Fast math libraries
  • Multithreading
  • Vectorization and SIMD instruction sets
• Ability to work effectively across large globally distributed engineering teams.
• Strong written and verbal communication skills.
• Curiosity adaptability and a willingness to learn and tackle complex technical problems.

Youll have the opportunity to work onhigh-performance AI software at the edge solving challenging problems at the intersection of machine learning software and hardware. Your work will directly contribute to the deployment of advanced AI capabilities across next-generation connected devices and platforms.