{"id":8715,"url":"https://alion.io/job/cartesia-software-engineer-data-infrastructure","title":"Software Engineer, Data Infrastructure","company":{"id":1846,"name":"Cartesia","domain":"cartesia.ai","url":"https://alion.io/company/cartesia","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":91,"open_postings":27,"ghost_share":0.074,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":170,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Databricks","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Post-training","optional":false},{"name":"Pre-training","optional":false}],"status":"live","first_seen_at":"2026-07-09T20:35:36Z","employer_posted_date":"2026-07-09","last_verified_at":"2026-10-16T15:46:10Z","board_verified":true,"closed_at":null,"days_open":98,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":98},"description":"About Cartesia\nOur mission is to architect AI that learns from and interacts with the world like humans do.\nWe're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.\nWe're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.\nAbout the Role\nData is the lifeblood of our models, and we are looking for a Software Engineer, Data Infrastructure to own the strategy and execution for all data at Cartesia. In this highly impactful role, you will build and evolve the datasets that power our cutting-edge research. You will design scalable systems to acquire, process, and curate massive multimodal datasets while partnering closely with research and inference teams. Your work will directly shape the capabilities and quality of our foundational models.\nYour Impact\nDefine Cartesia's multi-modal data strategy across pre-training and post-training, spanning human, synthetic, and web-scale sources, with particular depth in audio.\n\nDesign and operate scalable, high-throughput data pipelines for text, audio, and video - covering ingestion, preprocessing, augmentation, dataset versioning, and data loading for training.\n\nPartner closely with research and inference teams so data systems are co-designed with training and serving infrastructure (batching, GPU-aware loading, evaluation pipelines).\n\nEstablish and enforce rigorous standards for data quality, with a tight feedback loop between dataset characteristics and model behavior.\n\nIdentify and source novel datasets; manage relationships and budgets with external data vendors and partners.\n\nWhat You Bring\nHands-on experience with ML data infrastructure: training data pipelines, dataset versioning, large-scale data loading, and the interplay between data systems and model training and inference.\n\nWorking knowledge of multimodal data, i.e. audio: formats, preprocessing, augmentation, and large-scale storage and streaming patterns.\n\nStrong modern engineering execution: clean, well-tested code, fluency with current tools, and a willingness to pick the right tool for the problem rather than defaulting to familiar patterns.\n\nExperience leading cross-functional technical efforts in a fast-moving, research-driven environment.\n\nFamiliarity with building and evaluating datasets for generative models and reasonable working knowledge of how they’re trained and inference.\n\nNote: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.\nMore Details\nIn-office policy: We’re an in-person team based out of offices in San Francisco, London and Bangalore. We love being in the office, hanging out together, and learning from each other every day.\nVisa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.\nWe ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.\nWe support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.\nOur Benefits (US Employees Only)\nCompensation Competitive base salary alongside attractive equity package.\nHealth Insurance Fully covered medical insurance along with dental and vision for you and your family.\nParental Leave 9 weeks paternity & 12 weeks maternity leave\n401(k)\nCommuter Allowance A monthly stipend to help you get to and from the office.\nFlexible PTO Take as much time as you need to recharge your batteries.\nMeals & Snacks Lunch, dinner and plenty of snacks, provided daily.\nYour own personal Yoshi\nOur Commitment to Equal Opportunity\nCartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.","description_format":"text","description_chars":4788,"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","Health insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Speech & Audio AI","Foundation Models","AI Research Labs","Generative Audio & Music"],"lifecycle":[{"event":"open","at":"2026-07-09T20:35:36Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 18","filings_12m":18,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":272500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":14}],"liveness":{"score":55,"band":"ok","label":"Likely open","p_open":1,"p_active":0.767,"p_room":0.72,"age_days":98,"expected_fill_days":170,"reasons":["conf:3","velocity","win:mid","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/cartesia-software-engineer-data-infrastructure","json_url":"https://alion.io/job/cartesia-software-engineer-data-infrastructure.json","meta":{"generated_at":"2026-10-16T16:25:05Z","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":916,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":1846},"rest":"https://alion.io/mcp/rest/get_company?id=1846"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcartesia-software-engineer-data-infrastructure"},{"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%2Fcartesia-software-engineer-data-infrastructure"},{"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%2Fcartesia-software-engineer-data-infrastructure"},{"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/cartesia-software-engineer-data-infrastructure\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcartesia-software-engineer-data-infrastructure"}]}