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    Senior Engineer - Toronto, Canada - Oxa Autonomy

    Oxa Autonomy
    Oxa Autonomy Toronto, Canada

    1 day ago

    Default job background
    Full time
    Description

    Your Role

    As our Senior Engineer (ML Inference), you will take a leading role within your team to develop and deploy efficient machine learning models enabling new behavioural capabilities and improvements in Oxa Driver, while remaining aligned to business needs and long-term architectural strategy. You will also actively participate in operational support for your team, ensuring the root causes of operational issues are identified and resolved, and drive improvements to product quality, customer experience, and maintainability.

    You will:

  • Drive the development of performant C++ inference APIs for machine learning models supporting motion planning, and their integration into Oxa Driver across multiple platforms.
  • Deploy models to NVIDIA hardware, writing custom C++ and CUDA code as needed.
  • Leverage cloud tooling and infrastructure to create repeatable model optimisation and deployment workflows.
  • Design and implement metrics for model validation and continuous monitoring in production.
  • Engage with team members and colleagues throughout the business to create an environment that supports collaboration and mutual understanding.
  • Contribute to hiring and onboarding by defining role responsibilities and requirements, leading interviews, engaging in recruiting outreach for your team, and mentoring and developing new team members.

    • Requirements

    What you need to succeed:

  • Degree in Computer Science, Robotics or a related field (, Engineering, Physics, Mathematics).
  • Previous years of relevant professional experience developing and deploying deep learning models in C++ applications.
  • Experience working with modern deep learning frameworks and runtimes (, PyTorch, TensorFlow, ONNX, TensorRT).
  • Experience developing efficient C++ code for modern CPUs.
  • Experience with GPGPU / CUDA programming.
  • Hands-on experience working with software profiling and debugging tools.
  • Proven record of leading and delivering projects as part of a team.
  • Effective technical communication and leadership skills.
  • An appreciation for the role of safety, security and ethics in robotics and AI.

    • Extra kudos:

  • PhD or MSc in Computer Science or Robotics.
  • Relevant publications or talks at industry conferences or in journals.
  • Developed machine learning applications in Python.
  • Experience with compilers for neural networks.
  • Experience developing and fielding autonomous systems.
  • Familiarity with Google Cloud Platform.

    • The Candidate Journey: Multi-Step and Two-Way

    No-one wants to feel like a square peg in a round hole, so this process is designed to give you every chance to get the measure of us, and us of you. The various stages give you every opportunity to show your unique strengths and qualities, and enables each of us to establish if we're a good fit for the other. If the fit is good and you're selected, you're then in a position to do great work and thrive, which is what everyone wants.

    Benefits

    We provide:

  • Competitive salary, benchmarked against the market and reviewed annually
  • Hybrid working arrangements
  • Life Insurance
  • AD&D Insurance
  • Long Term Disability Insurance
  • Critical Illness Cover
  • Extended Health Care
  • Dental Cover
  • Health Spending Account
  • Personal Spending Account
  • Employee Assistance Program
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