Senior Engineer, Quality
2 weeks ago
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.Our purpose is to change the way the Earth moves, through an uncompromising focus on safety, efficiency and explainability of our AI approaches. 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.
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.
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 developing efficient C++ code for modern CPUs.
Hands-on experience working with software profiling and debugging tools.
Proven record of leading and delivering projects as part of a team.
PhD or MSc in Computer Science or Robotics.
Developed machine learning applications in Python.
Experience with compilers for neural networks.
Experience developing and fielding autonomous systems.
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. Competitive salary, benchmarked against the market and reviewed annually
~ Hybrid and/or flexible work arrangements
~ An outstanding £3,000 flexible benefits including private medical insurance, critical illness coverage, life assurance, EAP, group income protection
~ Funded relocation support
~ Fully funded Visa sponsorship if required
~ A salary exchange pension plan
~25 days’ annual leave plus bank holidays
~ A pet-friendly office environment
~ We believe that diversity of thought and experience is a key driver of innovation. So ours is a culture that celebrates humanity in all its diversity and richness, and uses difference as fuel to grow and succeed together. Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they’re solving the most exciting and important technological challenges of our times.
If you are bold, creative and hyper skilled, come and create the future of autonomy with us at Oxa.
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