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About the Role
As a Staff Software Engineer for the Data Enrichment Platform, you will own the technical vision for systems that enable Wayve’s teams to deploy, run, evaluate, and continually improve machine-learning models. You will shape a platform that processes petabytes of driving data, operates across large GPU fleets, and supports dozens of model engineers. You will create dependable, self-service capabilities that improve model quality while reducing cost and operational effort.
Responsibilities
- Define the technical vision and architecture for Wayve’s end-to-end Data Enrichment Platform.
- Lead the development of backend services, APIs, model-execution workflows, versioned outputs, annotation capabilities, and dataset catalogues.
- Build scalable and reliable systems for large-scale inference, automated evaluation, model monitoring, active learning, and retraining.
- Partner with platform teams to address data locality, scheduling, capacity, backpressure, failure recovery, observability, and cost across petabyte-scale datasets and large GPU fleets.
- Make effective build, buy, reuse, integrate, consolidate, and replace decisions as Wayve’s requirements and the technology landscape evolve.
- Establish clear technical boundaries and working relationships across AI Platform, infrastructure, compute, storage, data, and model-engineering teams.
- Remain hands-on while leading cross-team delivery, mentoring engineers, and driving the adoption of reusable, self-service platform capabilities.
- Define measurable service levels and success metrics covering platform reliability, throughput, cost, automation, and adoption.
Requirements
- Experience owning the long-term technical direction and measurable outcomes of a complex, multi-system platform or capability.
- Strong production software-engineering experience in Python, including building maintainable, tested, and observable backend services, APIs, and data-processing systems.
- Deep experience designing and operating large-scale distributed systems for data-intensive or compute-intensive workloads.
- A track record of productizing internal platforms for broad adoption, with a focus on reliability, usability, and self-service.
- Excellent architecture and technology judgment, combined with the ability to remain hands-on and lead delivery across organizational boundaries.
- Strong communication and influencing skills, with experience mentoring senior engineers and aligning multiple technical teams.
Skills
- Python
- Workflow-orchestration technologies (e.g., Flyte, Airflow, Dagster, Argo)
- Large-scale batch-inference or ML-platform systems
- Model deployment
- Model registries
- Spark
- Databricks
- Ray
- Distributed-compute technologies
- Annotation platforms
- Dataset-catalogue platforms
- Metadata
- Provenance
- Versioning
- Lineage
- Quality control
- Kubernetes
- GPU infrastructure
- Cost-aware cloud architecture
- Continuous evaluation
- Model-quality monitoring
- Active-learning
- Automated retraining workflows
- Robotics platforms
- Computer-vision platforms
- Object detection
- Depth estimation
- Segmentation
- Tracking
- Sensor data
- 3D models
Experience Level
- Staff
About the Company
- 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!
Equal Opportunity
- 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.