Software Engineer (Localisation)

Key Skills

Algorithms, AWS, Azure, C++, C++17 Programming, Cloud computing, Computer Vision (CV), Google Cloud Platform (GCP), Machine learning techniques, MLflow, NumPy, Pandas, Python Programming, Software Development

Job Description

Who are we?

Based in Oxford and with offices in Canada and the US, Oxa is an international startup founded in 2014 and scaling up rapidly (300+ Oxbots and growing).

As the global leader in our industry, we’re fuelled by a bold purpose: to make the Earth move better. From passenger shuttles to industrial vehicles, our operating system for Universal Autonomy™ is transforming the way people and goods are transported by enabling any vehicle, in any environment, to operate autonomously — safely, securely and efficiently.

Our technology is capturing investors’ imagination. To date we’ve raised $140 million in our Series C investment round. Accommodating growing demand from new and current shareholders, this funding is driving our expansion in North America and EMEA , and accelerating the deployment of our technology in domains where there is both urgent need and potential to scale.

Your Role:

The localisation team is responsible for determining the precise location of the vehicle in the world using a universal localiser stack of complementary sensors including cameras, lidar, radar and GPS. We develop the software and algorithms which enable the AV to precisely estimate its position and orientation robustly in all weather and environmental conditions. We are an experienced, passionate and friendly team who enjoy solving interesting and difficult real-world problems to improve and scale our localisation and mapping technology.

A dynamic and engaged group of people from diverse cultural and professional backgrounds, all working together towards our goal of Universal Autonomy.

Your Responsibilities:

• Designing, developing and delivering localisation software, systems, products and tooling.
• Discussions with the team on high level design decisions for various parts of our active sensing and perception systems
• Prototyping or implementing and testing algorithms for improving our perception systems
• Working with sensor data from multiple active sensors including cameras, radar and lidar
• Developing and testing data pipelines for various SLAM and Machine Learning systems.
• Developing and testing pipelines for evaluating and improving various SLAM and Machine Learning systems.
• Optimising various SLAM and Machine Learning systems to improve scalability, efficiency and inference speed.

Requirements

What you need to succeed:

• Demonstrated experience and excellence in algorithms development for robotics, localisation mapping and machine learning. These include deep learning, classical machine learning or computer vision algorithms.
• Demonstrated excellence in software development for production systems. For example using testing, safety, and performance to inform design and implementation decisions.
• Software development experience and knowledge of C++11/14/17
• Working knowledge of Python (Numpy, Scipy, Tensorflow/PyTorch, Jupyter Notebooks, etc)
• A measured, scientific approach to building complex engineering systems.

Extra kudos if you have:

• A PhD or Master’s degree in engineering or computer science
• Experience working with and analysing large volumes of labelled and unlabelled data.
• Experience in developing ML pipelines, model training and evaluation, continuous integration and development, model quality monitoring and analytics in a production environment.
• Experience with cloud systems for ML flow (e.g. GCP, AWS, Azure)

Benefits

We provide:

• 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
• 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 promote an open and inclusive culture that empowers our Oxbots to bring their whole, authentic selves to work every day. Oxa is proud to be an inclusive organisation and, as such, we require all team members within our recruitment process to understand and deploy best practices focused on de-biasing the whole recruitment cycle.We also apply a neuro inclusive lens to our recruitment process and want each potential Oxbot to enjoy the best experience possible for them. Please share with us any individual needs or reasonable adjustments we may need to make in advance of commencing the interview process with us.

Learn more about our culture.

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.