Autonomous Vehicle Software Engineer

3 weeks ago


Oxford, Oxfordshire, United Kingdom Oxa Full time

About Oxa

Oxa is a pioneering 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.

About the Role

We are seeking a highly skilled Senior Software Engineer to join our Planning Team, where we design, implement, test, and deploy the Engine that drives the behavior of Oxa's Autonomous Vehicles (AVs). As a Senior Software Engineer in Trajectory Planning, you will be responsible for designing, implementing, testing, and deploying algorithms that realize the desired behaviors that the AV needs to exhibit in any particular scenario.

Key Responsibilities

  • Collaborate with your Team Lead and team members to solve Spatio-Temporal motion planning problems, including off-the-shelf solver evaluation and custom solver implementation.
  • Collaborate with the Decision Making team to transcribe nuanced maneuvers in complex on- and off-road environments into generalized Trajectory Planning problems.
  • Collaborate with the Controls team to ensure Smooth, Comfortable, Precise maneuver execution for on- and off-road applications.
  • Contribute to the development of high-quality functionality and APIs that allow the Planner functionality to be used as a building block for on-vehicle capabilities.
  • Create appropriate metrics and tools to measure and benchmark the performance of Planners deployed on various AV platforms.
  • Work with customers, stakeholders, and peers to ensure the right solutions are delivered, and actively contribute to resolving disagreements through constructive dialog.
  • Contribute significantly to the engineering lifecycle, including scoping, design, implementation, testing, deployment, and maintenance of your team's work.
  • Influence technical strategy within the Planning Team, ensuring alignment with your Team Lead and your counterparts in other teams.
  • Document and train others on your team's work, focus on improving features, and understand the business and customer value of your team's work.
  • Positively impact product quality, customer experience, and maintainability, and take on projects that improve team processes and solutions.
  • Contribute to hiring and onboarding at scale by defining role responsibilities and requirements, leading interviews, engaging in recruiting outreach for your team, and mentoring and developing new team members.

Requirements

To succeed in this role, you will need:

  • PhD in a related field (Mech Eng, Aerospace, Comp Science, Robotics, Mechatronics) with 2+ years of professional experience is desired.
  • MS in a related field (Mech Eng, Aerospace, Comp Science, Robotics, Mechatronics) with 4+ years of professional experience is acceptable.
  • Extensive hands-on experience of optimization-based trajectory planning.
  • Experience with sampling-based trajectory planning approaches.
  • Experience with trajectory planning problem formulation and problem transcription.
  • Modern C++ algorithm development and deployment, ideally in a production environment (including STL and common testing frameworks).

Desirable Skills

  • Experience with technical and people leadership/management experience.
  • Dynamic Programming experience.
  • Knowledge of model Predictive Control, MPC (algorithm).
  • Experience with iLQR (algorithm, implementation/utilization).
  • Experience with RRT (algorithm).
  • Experience with vehicle dynamics and modeling.
  • Proven agility in fast-changing environments.
  • A customer-centric outlook.


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