{"id":1621700,"url":"https://alion.io/job/toyota-research-institute-senior-data-engineer","title":"Senior Data Engineer, Large Behavior Models","company":{"id":176407,"name":"Toyota Research Institute","domain":"tri.global","url":"https://alion.io/company/toyota-research-institute","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":85,"open_postings":10,"ghost_share":0,"stale_share":0.6,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Los Altos, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":119000,"max_usd":225000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1343},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Diffusion Policy","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Feature Store","optional":false},{"name":"Flyte","optional":false},{"name":"GCP","optional":false},{"name":"Kubeflow","optional":false},{"name":"Machine Learning","optional":false},{"name":"Protobuf","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2025-08-04T23:34:35Z","employer_posted_date":"2025-08-04","last_verified_at":"2026-11-05T06:55:59Z","board_verified":true,"closed_at":null,"days_open":457,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":457},"description":"The Automated Driving Advanced Development division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models.\nWe are looking for a Senior Data Engineer to design and build the foundational data infrastructure and tools that power our autonomy research and development workflows. This includes large-scale ingestion pipelines, structured feature stores, labeling infrastructure, scene search and data discovery tools, and performance diagnostics for machine learning and simulation workflows.\nResponsibilities\nDesign and implement scalable, production-grade pipelines for data ingestion, transformation, storage, and retrieval from vehicle fleets and simulation environments.\nBuild internal tools and services for data labeling, curation, indexing, and cataloging across large and diverse datasets.\nCollaborate with ML researchers, autonomy engineers, and data scientists to design schemas and APIs that power model training, evaluation, and debugging.\nDevelop and maintain feature stores, metadata systems, and versioning infrastructure for structured and unstructured data.\nSupport the generation and integration of synthetic datasets with real-world logs to enable hybrid training and simulation workflows.\nOptimize pipelines for cost, latency, and traceability, ensuring reproducibility and consistency across environments.\nPartner with simulation and cloud platform teams to automate workflows for closed-loop testing, scenario mining, and performance analytics.\nQualifications\nBachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.\n8+ years of experience building data-intensive software systems, ideally in robotics, autonomous driving, or large-scale ML environments.\nProficient in Python, SQL, and familiar with C++.\nExperience designing ETL pipelines using modern frameworks (e.g., Apache Spark, Flyte, Union).\nStrong knowledge of cloud-native architectures, including AWS services (e.g., S3, or equivalents (Google Cloud platform)\nFamiliarity with sensor data types (camera, lidar, radar, GPS/IMU) and common data serialization formats (e.g., protobuf. ROS2bag, MCAP).\nDeep understanding of data quality, observability, and lineage in high-volume systems.\nTrack record of building reliable and performant infrastructure that supports both ad-hoc exploration and repeatable production workflows.\nBonus Qualifications\nExperience in AD/ADAS, robotics, or autonomous systems - especially handling perception or planning datasets.\nFamiliarity with ML pipeline orchestration frameworks (e.g. Kubeflow, SageMaker, etc).\nExperience working with temporal or spatial data, including geospatial indexing and time-series alignment.\nExposure to synthetic data generation, simulation logging, or scenario replay pipelines.\nStrong software engineering fundamentals, CI/CD, testing, code review, and service deployment best practices.\nExperience collaborating with cross-functional, distributed teams across research and production orgs.","description_format":"text","description_chars":3443,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotics AI","Autonomous Driving","Research Institutes"],"lifecycle":[{"event":"open","at":"2026-10-01T20:48:09Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 21","filings_12m":21,"filings_prev_12m":9,"green_card_filings_12m":0,"median_offered_wage_usd":217024,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.157,"p_room":0.28,"age_days":457,"expected_fill_days":29,"reasons":["conf:4","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-11-05T05:54:30Z"},"pay":null,"html_url":"https://alion.io/job/toyota-research-institute-senior-data-engineer","json_url":"https://alion.io/job/toyota-research-institute-senior-data-engineer.json","meta":{"generated_at":"2026-11-05T11:21:33Z","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":14620,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"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":176407},"rest":"https://alion.io/mcp/rest/get_company?id=176407"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftoyota-research-institute-senior-data-engineer"},{"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%2Ftoyota-research-institute-senior-data-engineer"},{"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%2Ftoyota-research-institute-senior-data-engineer"},{"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/toyota-research-institute-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftoyota-research-institute-senior-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1621700}},{"tool":"search_jobs","arguments":{"company":"tri.global","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1621700},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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