Staff Video Processing Cloud Software Engineer

About the position

As a Video Processing Software Engineer in Experiment Orchestration, you’ll expand our large-scale media processing capabilities—ensuring video, images, and radar data are ingested, processed, and stored efficiently and reliably. You’ll own and refine our distributed CPU and GPU cloud infrastructure for media processing, building a cost-effective architecture that can flexibly handle sudden bursts of incoming data and high-priority processing tasks. By managing processing priorities and providing real-time status visibility, you’ll help the organization process the right data at the right time. You’ll also help shape technical decisions, from media containers and codecs strategies to how to optimize performance at scale. As engineering excellence is key for any role at Wayve, you’ll also be tracking key metrics to maximize uptime and make the most of the available GPU and CPU resources. Working closely with cross-functional teams, you’ll gather requirements, align stakeholders, and actively shape the roadmap—ensuring our media processing remains both cutting-edge and user-focused. Ultimately, your contributions will have a broad impact on how we process, store, and leverage large volumes of media data across the company.

Responsibilities

• Collaborate with other engineers and stakeholders to understand the most impactful things to build, and efficiently architect and execute solutions that can withstand the required scale and uptime.
• Empower others to design and build impactful media processing solutions that will handle scale and uptime.
• Ensure the compute is utilized well and that incoming requests can be processed within given timelines.
• Collaborate with scientists and engineers to transcode vehicle sensor data into formats suitable for end-user consumption.

Requirements

• Good development skills in Python
• Experience with video transcoding at scale
• Basic codec and container knowledge
• Passionate about writing clean, robust and maintainable code
• Track record of promoting engineering best practices in teams
• Excellent communication skills
• Experience serving high-quality video content to end users across multiple geographies

Nice-to-haves

• GPU and CPU optimization knowledge
• FFmpeg knowledge
• C++ knowledge
• Experience working with large scale distributed systems
• Experience with cloud infrastructure (AWS, Azure and/or GCP)
• Experience with Python or other Backend programming languages.
• Experience working with hybrid and remote teams.

Benefits

• Hybrid working policy that combines time together in offices and workshops with time spent working from home.
• Core working hours to determine the schedule that works best for you and your team.