Technical Lead London Hybrid

My client is building artificial intelligence capable of complex driving using endtoend deep learning; one which can scale across diverse urban environments. They are building a full driving software system which is datadriven at every layer learning to drive.

They are looking for a strong technical lead who has experience in shipping in production reliable and performant software for distributed highend computing devices. As a member of the onboard Software Platform team you will work within an engineering team which is delivering the software for edge devices to reliably provide data experimentation validation and autonomy on a largescale fleet of vehicles. Through this role you will have the opportunity to work with the companys nextgeneration innovative compute and sensor platform and contribute to all phases of the software development lifecycle.

The Key Responsibilities

Your main responsibilities as a contributor to the robot software stack will include:

Build software to enable full sensor integration and data capture at scale and quality necessary for a fully autonomous vehicle.
Deliver and maintain softrealtime Linuxbased applications to a fleet of embedded devices on automobiles. Including data collection and storage as well as machine learning inference on the edge.
Create robust fault tolerant software solutions with comprehensive system diagnostics so they can quickly and efficiently resolve any issues preventing their deployed fleet from operating at maximum capacity.
Design implement and use system monitoring tools to improve performance and resolve both adhoc and systemic issues.
Technologies the team is using:

the onboard software is run on Nvidia Jetson devices; C and Rust being the main languages they use in the most of their codebase. They use many of the industry standard libraries that youd expect i.e. ROS2 ecosystem.

You MUST have the following skills

• Very strong programming skills in C and/or Rust.
• Strong understanding on how to optimally use/configure IPC middleware for high data throughput robotic applications.
• Debugging skills including an ability to delve deep on performance issues stack traces core dumps slow disk writes high system load memory bottlenecks eternal device bottlenecks and threading issues.
• Knowledge of the Linux build systems and user space device drivers.
  An understanding of how distributed systems operate either in cloud or robotics systems and how to make these types of systems more scalable and performant.

MUST have the right to work in the UK.