{"id":2985058,"url":"https://alion.io/job/wayve-staff-ml-performance-engineer-performance-architecture","title":"Staff ML Performance Engineer, Performance Architecture","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":"AI/ML","role_family":"AI/ML","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":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":370040,"max":394900,"currency":"USD","period":"year","gross":null,"usd_annual":394900},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embodied AI","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Triton","optional":false},{"name":"CUDA","optional":true}],"status":"live","first_seen_at":"2026-10-02T15:38:40Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-23T19:12:19Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"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 Engineering Teams\nThe Performance Architecture team is part of Wayve's AI Performance org. We make Wayve's AI workloads faster and more efficient across training and cloud inference, so that performance unlocks new product capability. Our work lets Wayve train larger models faster and run inference more efficiently at scale.\nYour day-to-day\nYou'll identify, quantify and deliver optimisations across training and cloud inference workloads. You'll profile workloads to find bottlenecks, build optimisations that work across targets rather than one-off fixes, and track the gains with clear benchmarks. You'll work closely with Research and model teams to make performance engineering part of their development cycle, and with platform teams on cloud GPU hardware strategy.\nWhat you'll be working on\nProfiling ML workloads across training and cloud inference to identify bottlenecks, using system and kernel level profilers\n\nDesigning and implementing efficiency improvements to maximise MFU, throughput and utilisation, e.g. parallelism, compilation, mixed precision, caching\n\nBuilding reusable, cross-target optimisations (kernels, data loaders, frameworks such as Triton) rather than one-off, per-workflow fixes\n\nDesigning and implementing benchmarking tools to track efficiency gains and catch regressions on priority training and cloud inference workloads\n\nInforming cloud GPU hardware strategy and readiness in partnership with platform teams\n\nBuilding a culture of performance optimisation with Research and model teams\n\nYou should apply if\nYou have 10+ years of industry experience driving performance engineering across ML systems, GPU compute infrastructure, distributed platforms or similar\n\nYou have optimised large-scale workloads on GPU compute clusters, for training, inference or both\n\nYou have written, reported and tracked performance benchmarks in an open and accessible way\n\nYou write high quality, well-structured and tested Python code\n\nYou have a BS or MS in Machine Learning, Computer Science, Engineering or a related technical discipline, or equivalent experience\n\nNice to have:\nExperience with concurrent, parallel and distributed computing\n\nExperience optimising inference serving systems (e.g. latency, throughput, batching, caching)\n\nExperience using NVIDIA Nsight Systems or other system profilers\n\nExperience implementing GPU kernels (CUDA, Triton, etc.)\n\nKnowledge of computing fundamentals - what makes code fast, secure and reliable\n\nNot 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.\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 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.\nHow we work - Locations & Flexible Working:\nOur 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 / recruiter screen\n\nDeep-dive technical interviews (Programming, System Design, Domain, Technical Leadership)\n\nFinal interview: mission & values alignment\n\nWe’ll always explain the format and work around your availability.\nWhat’s in it for you (Location dependant):\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":7157,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Health insurance","Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Machine Learning","Autonomous Driving"],"lifecycle":[{"event":"open","at":"2026-10-21T08:14:46Z"}],"visa":[],"liveness":{"score":81,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.897,"p_room":0.9,"age_days":20,"expected_fill_days":53,"reasons":["conf:1","velocity","win:mid","comp:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":{"stated_usd_annual":394900,"is_top_pay":true},"html_url":"https://alion.io/job/wayve-staff-ml-performance-engineer-performance-architecture","json_url":"https://alion.io/job/wayve-staff-ml-performance-engineer-performance-architecture.json","meta":{"generated_at":"2026-10-23T23:24:43Z","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":6768,"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-ml-performance-engineer-performance-architecture"},{"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-ml-performance-engineer-performance-architecture"},{"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-ml-performance-engineer-performance-architecture"},{"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-ml-performance-engineer-performance-architecture\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwayve-staff-ml-performance-engineer-performance-architecture"}]}