The role involves contributing to the development of safety-critical autonomous systems for the trucking industry. Engineers will work across various domains including AI infrastructure, perception, embedded software, and system safety.
Design and evolve high-performance AI training platform components including orchestration, observability, and performance tuning. Drive end-to-end ML model pipelines and evangelize best practices for model iteration across engineering teams.
The Head of Data Operations will lead and scale the organization responsible for mapping, labeling, and triage to support autonomous system development. This role involves managing vendor relationships, driving automation, and utilizing data analytics to optimize operational workflows and quality control.
Develop and maintain state-of-the-art online and offline perception and generative AI algorithms for L4 autonomous vehicles. Drive technical features from problem definition to delivery while ensuring robust performance in safety-critical, resource-constrained environments.
You will partner with cross-functional teams to define and implement a state-of-the-art AV data introspection software roadmap. Additionally, you will drive technical discussions and evangelize solutions to address gaps in existing tools and accelerate product development.
You will lead the design, development, and validation of safety-critical embedded software for autonomous vehicle platforms. Additionally, you will mentor team members, ensure compliance with safety standards, and support vehicle testing and field deployments.
Design and implement high-throughput, low-latency logging frameworks and robotics middleware features. Collaborate with cross-functional teams to improve the performance, reliability, and usability of the autonomous vehicle software stack.
Develop foundational ML architectures and systematic approaches to solve complex perception problems for autonomous trucking. Collaborate with cross-functional AI teams to prototype and productize long-tail driving scenario solutions.