Oxa 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 2014 and is  growing rapidly (350+ ‘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 $225 million from leading investors so far, with $140 million raised in the last Series C funding round in January 2023.

Your Role

As our Senior Engineer (ML Performance), 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:

• Take a leading role within your team to develop and deploy efficient machine learning models and architectures in support of behaviour planning and decision making for autonomous vehicles with constraints on compute and latency.

• Support the development of performant C++ APIs and integration of deployed models into Oxa Driver™ for use on real vehicles and digital twins.
• Develop C++ and CUDA code to optimise model inference for NVIDIA hardware.
• 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 (e.g., Engineering, Physics, Mathematics).
• Previous years of relevant professional experience developing and deploying machine learning models to resource-constrained edge devices.
• 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.

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
• Company share programme
• 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
• Safe assigned spaces for team members with individual and diverse needs

Our Culture

We believe that diversity of thought and experience is a key driver of innovation. It also makes life, and work, more interesting. So ours is a culture that celebrates humanity in all its diversity and richness, and uses difference as fuel to grow and succeed together. Everyone is welcome, everyone has a voice, everyone is valued. And our work and people are all the better for it.

Learn more about our culture here.

Why become an Oxbot?

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.

But as well as smarts, Oxbots have heart. Our diverse, multi-cultural crew is guided by a shared vision to bring the myriad benefits of autonomy to our customers and partners. And in a company that celebrates uniqueness as much as skill and experience, they do it with energy, conviction and a healthy dose of excitement, too.

If you are bold, creative and hyper skilled, come and create the future of autonomy with us at Oxa.