wayve - Staff Software Engineer, Data Enrichment Platform
Responsibilities
• Own the technical vision and architecture for the end-to-end Data Enrichment Platform, translating user needs into a clear technical direction. • Lead the design, development and operation of backend services, APIs, model-execution workflows, versioned outputs, annotation capabilities and dataset catalogues. • Make architectural decisions for petabyte-scale data and large GPU fleets, addressing data locality, scheduling, capacity, backpressure, failure recovery, observability and cost. • Evaluate when to build, buy, reuse, integrate, consolidate or replace technologies as Wayve’s needs and the technology landscape evolve. • Establish clear technical boundaries and ownership across model engineering, AI Platform, infrastructure, compute, storage and data teams. • Remain hands-on while leading cross-team delivery, mentoring senior engineers and raising standards for maintainable, tested and observable software. • Drive adoption of reusable, self-service capabilities so teams can onboard and operate workflows independently. • Define measurable service levels and success metrics covering reliability, throughput, cost, automation and adoption. • 🧩 What you’ll be working on • A scalable platform for large-scale inference, automated evaluation, model monitoring, active learning and retraining. • Self-service backend services and APIs that enable dozens of model engineers to deploy and operate repeatable workflows independently. • Reproducible dataset selection, versioned outputs, annotation workflows and dataset catalogues with clear metadata, provenance and lineage. • Reliable model-execution workflows operating across petabytes of driving data and large GPU fleets, scaling towards thousands of GPUs. • Monitoring and operational tooling that make model quality, platform reliability, throughput, cost, runtime and workflow status visible. • The foundations for continuous evaluation, drift detection and automated model-improvement loops across robotics and computer-vision workloads. • Architectural improvements that reduce inference costs, duplicate compute and manual operational effort. • 🙌 You should apply if • You have owned the long-term technical direction of a complex, multi-system platform or capability and can demonstrate the measurable outcomes of your decisions. • You have strong production software-engineering experience in Python, building maintainable, tested and observable backend services, APIs and data-processing systems. • You have deep experience designing and operating large-scale distributed systems for data-intensive or compute-intensive workloads. • You have a track record of turning internal platforms into widely adopted, reliable and usable self-service products. • You bring excellent architecture and technology judgement, balancing immediate delivery needs with long-term platform direction. • You remain hands-on while leading delivery across organisational boundaries, influencing technical decisions and aligning teams around clear ownership and shared outcomes. • You communicate complex ideas clearly and have experience mentoring senior engineers and strengthening the technical capabilities of those around you. • Experience with workflow orchestration, batch inference, ML platforms, model deployment or registries would be an advantage. Relevant technologies include Flyte, Airflow, Dagster, Argo, Spark, Databricks, Ray, Kubernetes and GPU infrastructure. • Experience with annotation or dataset-catalogue platforms, including provenance, versioning, lineage and quality control, would also be valuable. • Experience with production robotics or computer-vision platforms—including annotation, inference, evaluation and model monitoring—is particularly desirable. Computer-vision research expertise is not required. • 🌱 Not ticking every box? That’s totally okay! • If you’re passionate about autonomy and the impact you could make at Wayve, we encourage you to apply even if you don’t meet every requirement.
Benefits
• 💰 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 • 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. https://wayve.ai/careers/ To learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/
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