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Lead Software Engineer in Autonomous Systems
3 months ago
About Oxa
Oxa is at the forefront of revolutionizing transportation through autonomous vehicles, focusing initially on the autonomous shuttling of goods and individuals.
We are proud to host some of the leading specialists in the field of autonomous technology, developing innovative solutions such as Oxa Driver, which provides full self-driving capabilities; Oxa MetaDriver, leveraging Generative AI to enhance deployment safety; and Oxa Hub, a suite of cloud-based tools for managing autonomous fleets. Our technology is actively utilized across various regions, and we are collaborating with a rapidly expanding network of operators, vehicle manufacturers, and equipment suppliers to advance global autonomous transportation.
Founded in 2014 and headquartered in Oxford, with additional offices in North America, Oxa is experiencing significant growth, currently employing over 350 professionals. Our mission is to transform the way people and goods move, with a steadfast commitment to safety, efficiency, and the transparency of our AI methodologies. To date, we have secured $225 million in funding from prominent investors, including $140 million in our latest funding round.
Your Team
You will be part of our Planning Team, responsible for designing, implementing, testing, and deploying the core Engine that governs the behavior of Oxa's Autonomous Vehicles (AVs) based on their environmental understanding.
Your Responsibilities
As a Senior Software Engineer specializing in Trajectory Planning, you will take charge of designing, implementing, testing, and deploying algorithms that define the desired behaviors of the AV in various scenarios. This role emphasizes planning the spatial and temporal trajectories that realize the intended actions of the AV while interacting with other entities and adhering to traffic regulations. You will collaborate closely with the Decision Making and Controls teams to ensure smooth, comfortable, and precise maneuver execution.
In this position, you will:
- Work alongside your Team Lead and colleagues to tackle spatial-temporal motion planning challenges, including evaluating existing solvers and developing custom solutions.
- Partner with the Decision Making team to translate complex maneuvers in diverse environments into generalized Trajectory Planning challenges.
- Coordinate with the Controls team to guarantee smooth and precise execution of maneuvers for both on-road and off-road scenarios.
- Contribute to the creation of high-quality functionalities and APIs that enable Planner capabilities as foundational elements for on-vehicle applications.
- Establish metrics and tools to assess and benchmark the performance of Planners across various AV platforms.
- Engage with customers, stakeholders, and peers to ensure optimal solutions are provided, fostering constructive dialogue to resolve any disagreements.
- Play a significant role in the engineering lifecycle, encompassing scoping, design, implementation, testing, deployment, and maintenance of your team's deliverables.
- Influence the technical direction within the Planning Team, ensuring alignment with your Team Lead and counterparts in other departments.
- Document and train others on your team's initiatives, focusing on feature enhancement and understanding the business and customer value of your work.
- Positively impact product quality, customer satisfaction, and maintainability, while undertaking projects that enhance team processes and solutions.
- Contribute to the recruitment and onboarding process by defining role responsibilities, leading interviews, and mentoring new team members.
Qualifications
What You Will Need:
- A PhD in a relevant field (Mechanical Engineering, Aerospace, Computer Science, Robotics, Mechatronics) with 2+ years of professional experience is preferred.
- A Master's degree in a related field with 4+ years of professional experience is acceptable.
- Extensive practical experience in optimization-based trajectory planning.
- Familiarity with sampling-based trajectory planning techniques.
- Experience in formulating trajectory planning problems and transcribing them effectively.
- Proficiency in modern C++ algorithm development and deployment, ideally in a production context (including STL and common testing frameworks).
Additional Skills:
- Experience in technical and people leadership or management.
- Knowledge of Dynamic Programming.
- Familiarity with Model Predictive Control (MPC) algorithms.
- Experience with iLQR algorithms.
- Knowledge of RRT algorithms.
- Understanding of vehicle dynamics and modeling.
- Ability to adapt in fast-paced environments, as we continuously evolve.
- A customer-focused mindset, anticipating and prioritizing customer needs.
Our Culture
We believe that diverse perspectives and experiences drive innovation and enrich our work environment. Our culture celebrates diversity and inclusivity, ensuring that every voice is heard and valued.
Why Choose Oxa?
Our team comprises world-class experts in computer science, AI, robotics, and machine learning, tackling some of the most significant technological challenges today. We value creativity, uniqueness, and a shared vision to deliver the benefits of autonomy to our clients and partners.
If you are passionate, skilled, and ready to shape the future of autonomous technology, Oxa is the place for you.
