Wayve Logo

Wayve

Senior Software Engineer, Data

Posted 14 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England, GBR
Senior level
In-Office
London, Greater London, England, GBR
Senior level
Build and operate globally distributed data-transfer infrastructure for video, LiDAR, and sensor data at petabyte-per-day scale. Design parallelized pipelines using Flyte, Kafka, Azure, Python, and Terraform; implement reliability, observability, integrity checks, backfills, dashboards, alerting, and cloud-to-cloud networking. Collaborate with product and external partner teams, support evolving requirements, and participate in an out-of-hours on-call rotation.
The summary above was generated by AI
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. 
In our fast-paced environment 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 

Portal is the cloud platform that connects Wayve to the outside world: handling data exchange with partners, surfacing AI insights, and enabling the commercial deployment of Wayve's AI driver on vehicles across the globe.

We're looking for a Senior Software Engineer, Data to help build Wayve's Data Transfer Hub: a mission-critical piece of infrastructure that will scale to transfer petabytes of sensor data per day from partners covering vehicles around the world.

This is a pivotal project at Wayve. You'll work as part of a small, high-autonomy team building a globally distributed hub-and-spoke data exchange system, working with partners like Uber, Stellantis and Nissan. Your work will help make Wayve's AI model training possible at scale.

Key responsibilities:

  • Build and operate large-scale data transfer pipelines for video, LiDAR and sensor data from global partners at up to PB/day scale
  • Contribute to the technical design of the Data Transfer Hub, making pragmatic trade-offs across UX, careliability, throughput, cost, partner constraints, observability and operational support
  • Build parallelised, distributed data transfer pipelines using Flyte for workflow orchestration, Kafka/event-driven patterns for lifecycle tracing, and Azure for storage and transfer infrastructure
  • Help implement and evolve a globally distributed hub-and-spoke data transfer model to retrieve and share sensor data at scale with partners
  • Write infrastructure-as-code in Terraform and pipeline logic primarily in Python
  • Build reliable operational foundations, including retry strategies, backfills, data integrity checks, lifecycle/state tracking, dashboards and alerting
  • Work on cloud-to-cloud and cross-cloud networking solutions, with Azure as the primary cloud platform
  • Once established, participate in an out-of-hours on-call and support rotation.
  • Collaborate with product, commercial and partner-facing teams to understand constraints and deliver solutions that solve real customer and partner problems
  • Work in a fast-changing environment where requirements and partner deliverable dates evolve, while maintaining high engineering standards

About you  

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

Essential 

  • Proven experience building and operating large-scale data transfer, ingestion or data processing pipelines, ideally at multi-TB or PB scale
  • Strong software engineering skills
  • Experience delivering & maintaining production systems
  • Experience with workflow orchestration for parallelised jobs; Flyte preferred, but Airflow, Prefect or similar tools are also relevant
  • Experience building reliable, observable data systems, including retry strategies, backfills, data integrity checks, lifecycle/state tracking and operational alerting
  • Strong cloud platform skills, with Azure preferred; experience with AWS or GCP is a plus
  • Proficiency in Python and Terraform
  • Experience with blob/object storage, large-scale file movement, networking or cloud-to-cloud data transfer
  • A product mindset: you think about the customer and build solutions that fix real problems, not just implement requirements
  • Comfort working in a fast-changing environment with evolving requirements
  • A strong sense of ownership: you take responsibility for outcomes, communicate clearly, and help the team move quickly

Desirable 

  • Experience working with external data partners or customer-facing technical integrations
  • Background in autonomous vehicles, robotics, geospatial data, video processing or other data-intensive domains
  • Experience with Kafka or other event-driven systems for transfer observability and lifecycle tracking
  • Experience building dashboards to communicate transfer job status
  • Multi-cloud experience across Azure, AWS and/or GCP
  • Experience improving cost efficiency, throughput or reliability of large-scale cloud data systems

This is a full-time role based in our office in London.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
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.  

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

For US candidates only, please visit E-Verify Notice and Participation and Right to Work

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.



HQ

Wayve London, England Office

London, United Kingdom

Wayve Camden, England Office

Wayve 230-238 york rd ., Camden, United Kingdom, N7 9AG

Similar Jobs

5 Days Ago
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
Financial Services
Lead software engineering initiatives for data platforms within an agile team. Provide technical guidance, develop and review secure production code, solve complex design and functionality problems, and influence application architecture and technical operations. Drive responsible adoption and governance of AI-assisted engineering tools, including code review, refactoring, testing, troubleshooting, and incident analysis. Serve as a subject matter expert, promote engineering standards, and contribute to firmwide software development practices.
Top Skills: Ai-Assisted Software Development ToolsCloud-Native TechnologiesSoftware Development Life Cycle (Sdlc) ToolsTest Automation
20 Days Ago
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
eCommerce • Information Technology • Marketing Tech • Software
Design, build, and operate Akeneo’s Supplier Data Manager at enterprise scale. Develop reliable data-processing pipelines for messy supplier catalogues, including deterministic and LLM-powered extraction and classification. Create collaboration and governance workflows, ensure production observability and operational excellence, participate in customer discovery, and collaborate across teams. The role requires strong software engineering fundamentals, architectural thinking, debugging ability, end-to-end ownership, and clear communication.
Top Skills: Claude CodeGCPInfrastructure As CodeLlmsPHPPythonReactTypescript
One Month Ago
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
Financial Services
Lead engineering of metadata, meta-modelling, and distributed systems; produce and review secure production Scala/Java code; drive adoption and governance of AI-assisted engineering across the SDLC; influence product design and operations; mentor technical teams; establish automation, validation standards, and reuse of proven patterns.
Top Skills: Ai-Assisted Development ToolsCats EffectCloud NativeDomain Specific LanguagesFunctional ProgrammingJavaMagnoliaMeta-ProgrammingNoSQLScalaShapelessSQL

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account