Senior engineer on Wayve's London Data and Orchestration team, building and revamping data pipeline infrastructure and a new DAG-based orchestration system for the autonomous driving data platform — high-volume ingestion, batch inference, and incident response. Core stack: Python, Kafka, Postgres/ClickHouse; Ray/Flyte/Spark a plus.
Compensation
Not disclosed
Location
London, United Kingdom
Work setup
Hybrid
Seniority
Senior
Employment
Not specified
Experience
Not specified
Category
Software engineering
Posted
Skills
ai
airflow
automation
clickhouse
dagster
data-engineering
data-ingestion
data-pipelines
distributed-computing
distributed-systems
kafka
kubernetes
machine-learning
postgresql
python
rdbms
spark
workflow-orchestration
Must have
Strong software engineering fundamentals and experience designing, building and maintaining production-grade systems
Solid Python programming skills
Experience working with systems at scale (distributed systems, large data volumes, high-throughput processing)
Understanding of software engineering best practices (unit testing, integration testing, TDD, data-driven development)
Familiarity with distributed event streaming platforms such as Apache Kafka
Understanding of database principles and consistency models (eventual/strong consistency, distributed data systems)
Familiarity with databases or data warehouses such as Postgres, ClickHouse or column-oriented databases
Works well with platform users and partner teams, turning requirements into scalable technical solutions
Nice to have
Experience in data engineering, data platforms, workflow orchestration or pipeline infrastructure
Experience with machine learning infrastructure, inference systems or ML performance optimisation
Exposure to large-scale batch processing, compute scheduling or resource prioritisation
Experience with tools or frameworks such as Ray, Flyte or Spark
Experience building shared libraries, developer tooling or internal platforms used across multiple teams
Full description
Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
🛠️ About our Engineering Teams
The Data and Orchestration team in London builds the platforms behind Wayve's data engineering, orchestration and inference workflows. Our infrastructure lets partner teams ingest, process and transform high-volume data from external vendors, vehicle fleets and customer programmes, and we make sure those systems are reliable, efficient and easy to use.
🧠 Your day-to-day
You'll help evolve Wayve's data pipeline platform. That means revamping our existing Harness system and building a new DAG-based orchestration system for our fleet's next-generation data volumes. You'll work on infrastructure used across the company, supporting high-priority data runs, batch inference, evaluations and business-critical incident response, and you'll work closely with partner teams to understand what they need from their pipelines.
🧩 What you'll be working on
Designing, building and evolving scalable data pipeline and orchestration infrastructure for Wayve's next-generation autonomous driving data platform
Revamping the existing Harness system and developing a new DAG-based workflow platform
Building tooling and libraries that make data ingestion, processing, inference and evaluation workflows simple, reliable and consistent across teams
Making sure the platform runs hundreds of parallel pipeline steps efficiently, with correct outputs, no conflicts and effective resource prioritisation
Supporting batch inference and performance optimisation workflows, so teams can run evaluations in a cost-effective and scalable way
Improving platform reliability, quality and usability, including incident response workflows aligned to business-defined SLOs
🙌 You should apply if
Essential
Strong software engineering fundamentals and solid Python programming skills, with experience designing, building and maintaining production-grade systems
Experience building or operating DAG-based workflow orchestration and data pipeline systems, using tools such as Airflow, Dagster or Flyte.
Experience with distributed computing frameworks such as Ray or Spark
Senior Software Engineer, Data and Orchestration at Wayve (London, United Kingdom) — aijobsearch
Experience working with systems at scale, ideally involving distributed systems, large data volumes or high-throughput processing
Experience deploying and operating production workloads on Kubernetes, including troubleshooting issues and managing resources for reliable, scalable data-processing services.
Familiarity with distributed event streaming platforms such as Apache Kafka
Strong understanding of database principles and consistency models—including eventual and strong consistency in distributed systems—with practical familiarity with relational databases and data warehouses such as Postgres and ClickHouse
Strong collaboration skills, with the ability to work closely with platform users and partner teams to translate requirements into scalable technical solutions
Desirable
Experience with machine learning infrastructure, inference systems or ML performance optimisation
Exposure to large-scale batch processing, compute scheduling or resource prioritisation
Experience building shared libraries, developer tooling or internal platforms used across multiple teams
🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.
More about Wayve:
🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines.
Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.
How we work 💻- Locations & Flexible Working:
Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.
We’ll always explain the format and work around your availability.
What’s in it for you (Location dependant):
💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
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
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.