{"id":2984539,"url":"https://alion.io/job/wayve-staff-software-engineer-data-enrichment-platform-2","title":"Staff Software Engineer, Data Enrichment Platform","company":{"id":55,"name":"Wayve","domain":"wayve.ai","url":"https://alion.io/company/wayve","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":238000,"max_usd":412000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":24},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"Embodied AI","optional":false},{"name":"Flyte","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Ray","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-10-14T08:25:28Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-23T19:12:19Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Before the detail, here's the challenge you'd help us solve.\nWe 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.\nHere’s what this particular role covers.\nAbout our Data Enrichment Platform Team\nOur Enrichment Orchestration team builds the platform that enables Wayve’s teams to deploy, run, evaluate and continually improve machine-learning models. Processing petabytes of driving data across large GPU fleets, the team creates dependable, self-service capabilities that help model engineers understand model performance, improve quality and reduce operational effort and cost.\nAs our Staff Software Engineer, you’ll own the platform’s technical vision and long-term direction. You’ll combine hands-on engineering with cross-team technical leadership, shaping how model engineering, infrastructure, compute and data capabilities come together to accelerate model development.\nYour day-to-day\nOwn the technical vision and architecture for the end-to-end Data Enrichment Platform, translating user needs into a clear technical direction.\n\nLead the design, development and operation of backend services, APIs, model-execution workflows, versioned outputs, annotation capabilities and dataset catalogues.\n\nMake architectural decisions for petabyte-scale data and large GPU fleets, addressing data locality, scheduling, capacity, backpressure, failure recovery, observability and cost.\n\nEvaluate when to build, buy, reuse, integrate, consolidate or replace technologies as Wayve’s needs and the technology landscape evolve.\n\nEstablish clear technical boundaries and ownership across model engineering, AI Platform, infrastructure, compute, storage and data teams.\n\nRemain hands-on while leading cross-team delivery, mentoring senior engineers and raising standards for maintainable, tested and observable software.\n\nLead and develop a small team of engineers, providing technical direction, coaching and regular feedback while setting priorities and supporting their career growth.\n\nDrive adoption of reusable, self-service capabilities so teams can onboard and operate workflows independently.\n\nDefine measurable service levels and success metrics covering reliability, throughput, cost, automation and adoption.\n\nWhat you’ll be working on\nA scalable platform for large-scale inference, automated evaluation, model monitoring, active learning and retraining.\n\nSelf-service backend services and APIs that enable dozens of model engineers to deploy and operate repeatable workflows independently.\n\nReproducible dataset selection, versioned outputs, annotation workflows and dataset catalogues with clear metadata, provenance and lineage.\n\nReliable model-execution workflows operating across petabytes of driving data and large GPU fleets, scaling towards thousands of GPUs.\n\nMonitoring and operational tooling that make model quality, platform reliability, throughput, cost, runtime and workflow status visible.\n\nThe foundations for continuous evaluation, drift detection and automated model-improvement loops across robotics and computer-vision workloads.\n\nArchitectural improvements that reduce inference costs, duplicate compute and manual operational effort.\n\nYou should apply if\nYou have owned the long-term technical direction of a complex, multi-system platform or capability and can demonstrate the measurable outcomes of your decisions.\n\nYou have strong production software-engineering experience in Python, building maintainable, tested and observable backend services, APIs and data-processing systems.\n\nYou have deep experience designing and operating large-scale distributed systems for data-intensive or compute-intensive workloads.\n\nYou have a track record of turning internal platforms into widely adopted, reliable and usable self-service products.\n\nYou bring excellent architecture and technology judgement, balancing immediate delivery needs with long-term platform direction.\n\nYou remain hands-on while leading delivery across organisational boundaries, influencing technical decisions and aligning teams around clear ownership and shared outcomes.\n\nYou communicate complex ideas clearly and have experience mentoring senior engineers and strengthening the technical capabilities of those around you.\n\nYou have people leadership experience, such as managing or technically leading a small team of 2-3 engineers, setting direction, guiding delivery and supporting their growth and performance.\n\nExperience 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.\n\nExperience with annotation or dataset-catalogue platforms, including provenance, versioning, lineage and quality control, would also be valuable.\n\nExperience with production robotics or computer-vision platforms-including annotation, inference, evaluation and model monitoring-is particularly desirable. Computer-vision research expertise is not required.\n\nNot ticking every box? That’s totally okay!\nIf 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.\nMore about Wayve\nWayve 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.\nOur 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+ 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.\nHow we work - Locations & Flexible Working\nThis role is based in London. 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.\nThe Interview Process\nOur process is clear and respectful of your time.\nInitial call / Talent Partner screen (30 mins)\nCompetency interviews: Python coding (60 mins), System design (60 mins)\nDeep Dive Interviews: Technical Leadership, Hiring Manager interview (45 mins)\nFinal interview: Mission, values and Staff-level calibration (45 mins)\nWe’ll always explain the format and work around your availability.\nWhat’s in it for you (location dependent)\nSalaries benchmarked against the market annually\nMeaningful equity, sharing in the ownership and long-term success of Wayve\nRelocation support and visa sponsorship where applicable\nHybrid working, core hours and the chance to work hands-on in vehicle workshops and labs\nLearning and development budgets with support for training, conferences and growth\nComprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more\nA quick, honest note before you apply.\nWayve 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.\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.\nAt 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.\nFor more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve\nDISCLAIMER: 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.","description_format":"text","description_chars":9678,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Health insurance","Hybrid work"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Machine Learning","Autonomous Driving"],"lifecycle":[{"event":"open","at":"2026-10-21T08:14:46Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":8,"expected_fill_days":53,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/wayve-staff-software-engineer-data-enrichment-platform-2","json_url":"https://alion.io/job/wayve-staff-software-engineer-data-enrichment-platform-2.json","meta":{"generated_at":"2026-10-23T19:18:31Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":27939,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":55},"rest":"https://alion.io/mcp/rest/get_company?id=55"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwayve-staff-software-engineer-data-enrichment-platform-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fwayve-staff-software-engineer-data-enrichment-platform-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fwayve-staff-software-engineer-data-enrichment-platform-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/wayve-staff-software-engineer-data-enrichment-platform-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwayve-staff-software-engineer-data-enrichment-platform-2"}]}