Staff Engineer at Oxa

Title: Staff Engineer (Trajectory Planning)
Location:  Remote US
Job Description:
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 Team
You will join our growing Planning Team, where we design, implement, test, and deploy the Engine that defines the behaviour and motion of Oxa’s Autonomous Vehicles (AVs), based on our understanding of the environment.
Your Role
As a Staff Engineer in Trajectory Planning, you will be responsible for designing, implementing, testing, and deploying the trajectory planning software that generates the trajectories for the AV. Specifically, this role will focus on building a robust and efficient trajectory generation approach to achieve the desired AV maneuvers in a comfortable, human-like, and safe manner for different on-road and off-road applications. You will work closely with other teams in a highly cross-functional development environment.
In this role, you will:

 
Lead the development, integration, and deployment of trajectory planning software that robustly and efficiently generates AV trajectories, including off-the-shelf solver evaluation and custom solver implementation.
 
Take ownership of the trajectory planning approach and architecture with a focus on high quality functionality and APIs that allow the trajectory planner component to be used as a building block for various on-vehicle applications.
 
Promote a cross-functional development style, working closely with other teams to realise the desired AV manoeuvres as well as their smooth, comfortable, and precise execution.
 
Create appropriate metrics and tools to measure and benchmark the performance of the trajectory planner deployed on various AV platforms.
 
Own the engineering lifecycle, including scoping, design, implementation, testing, deployment, and maintenance of your team’s work.
 
Influence the technical strategy within the Planning Team, ensuring alignment with 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.
 
Spearhead 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.
 
Positively impact product quality, customer experience, and maintainability, and identify projects that improve team processes and solutions.

Requirements
What you need to succeed:

 
PhD in related field (Mech Eng, Aerospace, Comp Science, Robotics, Applied Mathematics) with 3+ years of industry experience is desired
 
MS in related field (Mech Eng, Aerospace, Comp Science, Robotics, Applied Mathematics) with 5+ years of industry experience is acceptable
 
Extensive hands-on experience of optimisation-based trajectory planning and control applications to autonomous driving.
 
Deep practical understanding of nonlinear optimisation techniques
 
Experience with different trajectory planning problem formulations
 
Prior tech lead experience in a software development team focused on trajectory optimisation or vehicle/robot control (preferably within autonomous driving), guiding and mentoring team members.
 
Strong C++ and Python software development skills, including modern C++ algorithm development and deployment in a production environment.
 
Familiarity with modern software engineering practices, including automated testing and continuous integration.
 
Extensive knowledge of vehicle kinematics and dynamics
 
Experience with sampling-based trajectory planning approaches

Extra kudos:

 
ILQR, SQP, or Differential Dynamic Programming experience (algorithm, implementation, and deployment)
 
Experience with RSS (Responsibility-Sensitive Safety), SFF (Safety Force Field), or related concepts.
 
Experience with vehicle dynamics and modelling
 
Experience with people management

Benefits
We provide:

 

  

   
Competitive salary, benchmarked frequently
   
Hybrid working arrangements
   
PTO 25 days
   
United Healthcare Medical Insurance – we cover 95% with 5% employee contribution
   
401k Retirement plan with Safe Harbour
   
Life Assurance
   
AD&D Insurance
   
Short and Long Term Disability Insurance
   
Dental and Vision – Fully funded for you and Oxa will contribute 50% of costs for dependants.
  

The salary range for this position is expected to be between $120,000 – $160,000 USD per year + equity. However, salary and equity offered will vary depending on factors such as skills, job-related knowledge and location.
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 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.