{"id":859272,"url":"https://alion.io/job/didi-seniorsr-staff-ai-infrastructure-engineer-inference-optimization","title":"Senior/Sr. Staff AI Infrastructure Engineer, Inference & Optimization","company":{"id":720017,"name":"Didi","domain":"didi.co","url":"https://alion.io/company/didi-7","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"staff","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 Jose, United States","Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":164000,"max_usd":320000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":589},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"LLM","optional":false},{"name":"ONNX Runtime","optional":false},{"name":"OpenMP","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"SGLang","optional":false},{"name":"TensorRT","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"vLLM","optional":false},{"name":"AWQ","optional":true},{"name":"PyTorch","optional":true},{"name":"Qwen","optional":true},{"name":"TGI","optional":true}],"status":"live","first_seen_at":"2026-09-12T00:44:36Z","employer_posted_date":"2026-09-12","last_verified_at":"2026-10-31T22:13:37Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"About the Company\nDiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.\nAbout The Role\nWe are seeking an experienced and mission-driven Senior/Sr. Staff AI Infrastructure Engineer, Inference & Optimization to lead the performance tuning, deployment, and resource scheduling of cutting-edge AI models across on-vehicle and cloud infrastructure. In this role, you will design high-efficiency inference pipelines, build system-level stability frameworks, and optimize hardware execution to ensure ultra-low latency and rock-solid operational reliability. You will act as a technical leader in AI infrastructure, accelerating model iteration and bridging the gap between frontier deep learning algorithms and real-time autonomous systems.\nResponsibilities\nOwn the deployment, optimization, and resource scheduling of vehicle-side AI models, ensuring high efficiency, low latency, and robust execution within embedded constraints.\n\nLead vehicle-side system stability initiatives, conducting independent root-cause analysis and driving resolution for complex, system-level performance bottlenecks and runtime anomalies.\n\nArchitect and scale service-oriented deployment environments for Large Language Models (LLMs) and foundational models to support offline simulation, automated annotation, and rapid model validation.\n\nTrack and evaluate cutting-edge industry methodologies, continuously integrating advanced optimization toolchains, quantization techniques, and execution engines.\n\nEstablish system-level profiling and telemetry frameworks using CUDA tools to monitor, analyze, and maximize hardware utilization across target GPU architectures.\n\nCollaborate cross-functionally with Autonomous Driving Perception/Prediction, Cloud Infrastructure, and Safety teams to enable rapid algorithm iteration and scalable vehicle deployment.\n\nQualifications\nMaster’s or higher degree in Computer Science, Software Engineering, Systems Engineering, or a closely related technical field.\n\n3-8+ years of industry experience in high-performance computing, AI infrastructure, model optimization, or embedded deployment.\n\nStrong proficiency in C++ and Python, with solid expertise in parallel programming (CUDA, OpenMP) and low-level system profiling tools.\n\nDeep familiarity with mainstream inference engines (e.g., TensorRT, ONNX Runtime) and specialized LLM inference/serving frameworks (e.g., vLLM, SGLang, TensorRT-LLM).\n\nPractical understanding of modern GPU hardware architectures (e.g., NVIDIA Hopper, Thor) and memory bandwidth management.\n\nDemonstrated ability to diagnose complex software-hardware integration issues and drive scalable, production-grade solutions.\n\nPreferred Qualifications\nHands-on experience optimizing and deploying AI models on the NVIDIA Thor platform, including hardware resource scheduling and acceleration.\n\nProven track record of serving large foundation models (e.g., LLaMA, Qwen, GPT) in production or high-throughput cloud pipelines using frameworks like vLLM, SGLang, TGI, or LightLLM.\n\nBackground in deep learning training frameworks (PyTorch) and practical experience with model quantization (INT8/FP8/AWQ), kernel fusion, or graph compilation.\n\nExperience deploying real-time, high-availability AI workloads in autonomous vehicles, robotics, or edge devices.\n\nThe base salary range for this full-time position is $169,783 - $351,000 annually in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.\nI acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on https://v.didi.cn/AQnxlBa","description_format":"text","description_chars":4379,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["UI/UX Design"],"lifecycle":[{"event":"open","at":"2026-09-13T08:41:40Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 4 · green card filings: 1","filings_12m":4,"filings_prev_12m":1,"green_card_filings_12m":1,"median_offered_wage_usd":149500,"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)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":3}],"liveness":{"score":28,"band":"fade","label":"Fading","p_open":1,"p_active":0.621,"p_room":0.45,"age_days":49,"expected_fill_days":31,"reasons":["conf:2","win:tail"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/didi-seniorsr-staff-ai-infrastructure-engineer-inference-optimization","json_url":"https://alion.io/job/didi-seniorsr-staff-ai-infrastructure-engineer-inference-optimization.json","meta":{"generated_at":"2026-11-01T01:30:31Z","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":2369,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"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":720017},"rest":"https://alion.io/mcp/rest/get_company?id=720017"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdidi-seniorsr-staff-ai-infrastructure-engineer-inference-optimization"},{"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%2Fdidi-seniorsr-staff-ai-infrastructure-engineer-inference-optimization"},{"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%2Fdidi-seniorsr-staff-ai-infrastructure-engineer-inference-optimization"},{"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/didi-seniorsr-staff-ai-infrastructure-engineer-inference-optimization\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdidi-seniorsr-staff-ai-infrastructure-engineer-inference-optimization"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":859272}},{"tool":"search_jobs","arguments":{"company":"didi.co","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":859272},"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); https://alion.io/mcp with an Alion account has everything. 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