Senior Software Engineer, Data

Wayve; New York (NY); On-site; USD 120,000 - 186,000; Full time

Job summary

Wayve is seeking a Senior Software Engineer, Data to build the Data Transfer Hub, enabling petabyte-scale data movement from global partners and scalable AI model training for autonomousVehicles.

You will join a small, high-autonomy team, design and operate large-scale pipelines with Flyte, Kafka, and Azure, and own observability, reliability, and on-call rotations in a fast-changing, customer-focused environment.

Qualifications

• Proven experience building and operating large-scale data transfer or data processing pipelines (multi-TB/PB scale).
• Strong software engineering fundamentals and production systems ownership.
• Experience with workflow orchestration for parallel jobs (Flyte preferred; Airflow/Prefect also relevant).
• Experience with cloud platforms (Azure preferred; AWS/GCP a plus).
• Proficiency in Python and Terraform for infrastructure and data tooling.
• Experience with blob/storage and cloud-to-cloud data transfer.

Responsibilities

• Build and operate large-scale data transfer pipelines for video, LiDAR and sensor data from global partners at PB/day scale.
• Contribute to the Data Transfer Hub design, balancing UX, reliability, throughput, cost and observability.
• Build distributed pipelines using Flyte and Kafka; leverage Azure for storage and transfer infrastructure.
• Develop a globally distributed hub-and-spoke data transfer model with partners.
• Write infrastructure-as-code in Terraform and pipeline logic in Python.
• Establish reliable operational foundations: retries, backfills, data integrity checks, dashboards and alerts.
• Work on cloud-to-cloud networking with Azure as the primary platform.
• Participate in on-call rotation after establishment.
• Collaborate with product, commercial and partner teams to solve real customer problems.
• Adapt to evolving requirements while upholding engineering standards.

Skills

Python

Terraform

Azure

AWS

GCP

Distributed systems

Observability

Data transfer pipelines

On-call readiness

Tools

Flyte

Airflow

Kafka

Azure storage

Job 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.

The rolePortal 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.

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.