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Senior Software Engineer

2 months ago


Oxford, Oxfordshire, United Kingdom Oxa Full time
About Oxa

Oxa is a pioneering technology company that is revolutionizing the transportation industry by enabling the transition to self-driving vehicles. Our initial focus is 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 innovative solutions such as Oxa Driver, Oxa MetaDriver, and Oxa Hub. 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.

Our purpose is to change the way the Earth moves, through an uncompromising focus on safety, efficiency, and explainability of our AI approaches. We have attracted significant investment from leading investors, with a strong growth trajectory and a talented team of experts.

About the Role

We are seeking a highly skilled and experienced C++ Software Engineer with expertise in developing robust mechanisms and pipelines to acquire metrics for real-time production autonomy software and evaluate its performance. You will be responsible for developing tools and workflows that generate autonomy performance metrics when operating our Oxa Driver stack, and building instrumentation to monitor and assess on-road decision making.

As a member of the Evaluators, Metrics, and Tooling platform team, you will work closely with core robotics engineers to better measure Motion Planning performance. You will be accountable for assessing, helping identify, and reporting on the Motion Planner's end-to-end deliverables for both internal and external stakeholders.

Key Responsibilities
  • Develop and maintain high-quality processes and APIs to generate performance signals and combine them to create meaningful performance metrics
  • Build and own the necessary tools and the Planning evaluation framework
  • Contribute significantly to the engineering lifecycle, including scoping, design, implementation, testing, deployment, and maintenance of your team's work
  • Verify and validate through on-road testing and scenario simulation
  • Leverage synthetic data from simulations to expand test situations
  • Manage CI/CD pipelines to monitor performance regressions
  • Collaboratively define processes and new metrics with other teams
  • Influence and assist with technical strategy, training, and hiring to ensure alignment with the Stream's overall objectives
  • Interface with other teams to refine your knowledge of the autonomy stack and gain exposure to all aspects of the business
Requirements
  • Degree in Robotics or a related field (e.g., Computer Science, Engineering, Physics, etc.)
  • Solid foundational knowledge of Robotics technologies and how they operate
  • Extensive experience designing, developing, and maintaining pipelines and tools to measure real-time engineering operations and processes
  • Strong analytical and problem-solving skills in performing statistical analysis, data modeling, and predictive analytics
  • Professional experience in modern C++, including the STL and common testing frameworks
  • Fluency in Python for software development
  • Ability to develop high-quality APIs and code documentation
  • Deep understanding of software development methodologies, code reviews, version control systems (e.g., Git), and agile practices
  • Demonstrated leadership skills in collaborating cross-functionally and providing guidance to junior members
  • Excellent written and verbal communication skills, especially in articulating complex technical concepts across company stakeholders
Preferred Qualifications
  • Prior experience in verification and validation of on-road Motion Planning systems
  • Understanding of decision making, trajectory generation, and control algorithms
  • Exposure to automotive testing and simulation frameworks (e.g., Applied Intuition, Carla, etc.)
  • Experience with databases (e.g., SQL)
  • Certification in cloud computing (e.g., GCP, AWS, Azure, etc.)
  • Ability to develop dashboard UIs for publishing performance (e.g., Grafana, Apache Superset, etc.)
  • Exposure to safety certification standards and processes