- Drive the development of performant C++ inference APIs for machine learning models supporting motion planning, and their integration into Oxa DriverTM 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.
- Degree in Computer Science, Robotics or a related field (e.g., 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 (e.g., 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.
- 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.
Senior Engineer - Toronto, Canada - The Engineering Institute of Canada
Description
ResponsibilitiesOxa is enabling the transition to self-driving vehicles through an initial focus on the most commercially advanced sector; the autonomous shuttling of goods and people.
We are home to some of the world's leading experts on autonomous vehicles, creating solutions such as Oxa Driver, equipping vehicles with full self-driving functionality; Oxa MetaDriver, using Generative AI to accelerate and assure the safety of deployments; and Oxa Hub, a set of cloud-based offerings for autonomous fleet management. Our technology is being deployed across the UK and the U.S, and we're partnering with a fast-growing ecosystem of operators, vehicle OEMs and equipment makers serving autonomous transportation globally as it advances.
Based in Oxford, and with offices in Canada and the U.S, Oxa was founded in and is growing rapidly (+ 'Oxbots' to date). Our purpose is to change the way the Earth moves, through an uncompromising focus on safety, efficiency and explainability of our AI approaches. The company has attracted $ million from leading investors so far, with $ million raised in the last Series C funding round in January .
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 DriverTM, 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:
Requirements
What you need to succeed:
Extra kudos :