Staff Video Processing Cloud Software Engineer

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition  (including breastfeeding) or any other basis as protected by applicable law.  

About us   

Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  

At Wayve, big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  

Make Wayve the experience that defines your career!  

The role 

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.

Challenges you will own

• Media Processing Development – 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 the team to build scalable media processing solutions – Empower others to design and build impactful media processing solutions that will handle scale and uptime.
• GPU & CPU optimization for video transcoding – ensure the compute is utilized well and that incoming requests can be processed within given timelines
• Transcode sensor data like radar  – collaborate with scientists and engineers to transcode vehicle sensor data into formats suitable for end-user consumption.

About you 

In order to set you up for success as a Video Processing Cloud Software Engineer at Wayve, we’re looking for the following skills and experience. 

Essential 

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

Desirable 

• 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.