{"id":4300443,"url":"https://alion.io/job/coreweave-senior-deployment-engineer-llm-inference-optimization","title":"Senior Deployment Engineer - LLM Inference & Optimization","company":{"id":7348,"name":"CoreWeave","domain":"coreweave.com","url":"https://alion.io/company/coreweave","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":74,"open_postings":70,"ghost_share":0,"stale_share":0.843,"repost_share":0,"time_to_fill_p50_days":61,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bellevue, United States","Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"CoreWeave","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hugging Face","optional":false},{"name":"KV Cache","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"SGLang","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"Transformers","optional":false},{"name":"vLLM","optional":false},{"name":"CUDA","optional":true},{"name":"LoRA","optional":true},{"name":"Multimodal AI","optional":true},{"name":"PEFT","optional":true},{"name":"QLoRA","optional":true},{"name":"Speculative Decoding","optional":true},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-03-16T13:08:04Z","employer_posted_date":"2026-11-14","last_verified_at":"2026-11-14T02:54:34Z","board_verified":true,"closed_at":null,"days_open":242,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":242},"description":"CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.\nSenior Deployment Engineer - LLM Inference & Optimization\nAbout the role\nWe’re looking for a Deployment Engineer who combines hands-on AI engineering, model optimization, and strong customer-facing skills.\nYou’ll work directly with customers to bring AI models and applications into production, improve their performance, and integrate them with enterprise systems. You’ll own technical delivery from discovery and benchmarking through deployment and adoption, working closely with customer stakeholders and our product and engineering teams.\nThis role requires someone who enjoys writing code, experimenting with models, diagnosing performance bottlenecks, and helping customers achieve measurable improvements in model quality, latency, throughput, and cost.\nWhat you’ll do\nUnderstand customer requirements: Lead technical discovery to define use cases, workloads, infrastructure constraints, and targets for model quality, latency, throughput, and cost.\nOptimize inference: Apply techniques such as quantization, batching, prefix caching, KV-cache optimization, and parallelism to improve performance while preserving output quality.\nAdapt models to customer needs: Improve results through prompt optimization, retrieval-augmented generation, and fine-tuning where appropriate. Evaluate the impact of each approach.\nTroubleshoot performance: Investigate issues across model execution, GPU utilization, memory consumption, serving infrastructure, and application behavior.\nLead technical customer engagement: Run workshops, present benchmark findings, explain tradeoffs, and guide customers through deployment and optimization decisions.\nBuild reusable capabilities: Create evaluation tools, benchmark harnesses, deployment configurations, and runbooks. Bring recurring customer needs and performance findings back to product and engineering.\nWhat you’ll bring\n5+ years of experience in software engineering, ML engineering, AI infrastructure, or a related hands-on technical role.\nStrong Python programming skills and experience with frameworks such as PyTorch, Hugging Face Transformers, or comparable tools.\nHands-on experience deploying and optimizing AI models in production, particularly LLMs.\nExperience with model-serving frameworks such as vLLM, SGLang, TensorRT-LLM, or similar technologies.\nAn understanding of GPU memory constraints, numerical precision, batching, caching, and parallelism, including how these affect inference performance.\nExperience building evaluations and benchmarks to measure model quality, latency, throughput, and resource efficiency.\nExperience developing APIs and integrating model endpoints with production applications and customer data systems.\nFamiliarity with GPU-based cloud environments, containers, and monitoring tools used to operate model deployments.\nThe ability to work directly with customers, communicate technical tradeoffs clearly, and translate business requirements into measurable engineering targets.\nStrong ownership and troubleshooting skills, with the ability to move from an ambiguous problem to a tested solution.\nNice to have\nExperience with parameter-efficient fine-tuning techniques such as LoRA or QLoRA.\nExperience with speculative decoding, multi-GPU inference, or distributed model serving.\nExperience profiling GPU workloads using CUDA, NVIDIA Nsight, or related tools.\nExperience optimizing embedding models, rerankers, vision models, or multimodal systems.\nExperience improving retrieval quality and evaluating end-to-end RAG applications.\nContributions to open-source model-serving, optimization, or evaluation projects.\nExperience delivering enterprise AI implementations or customer-facing technical engagements.\nWhat success looks like\nYou help customers deploy AI solutions that meet agreed quality and performance targets. Your work produces measurable improvements in latency, throughput, GPU utilization, and cost while maintaining model quality. Customers understand the tradeoffs, trust your technical guidance, and can operate the solutions you deliver. Your findings and tools make future deployments faster and more effective.\nWhat We Offer\nIn addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include:\nMedical, dental, and vision insurance - 100% paid for by CoreWeave\nCompany-paid Life Insurance \nVoluntary supplemental life insurance \nShort and long-term disability insurance \nFlexible Spending Account\nHealth Savings Account\nTuition Reimbursement \nAbility to Participate in Employee Stock Purchase Program (ESPP)\nMental Wellness Benefits through Spring Health \nFamily-Forming support provided by Carrot\nPaid Parental Leave \nFlexible, full-service childcare support with Kinside\n401(k) with a generous employer match\nFlexible PTO\nCatered lunch each day in our office and data center locations\nA casual work environment\nA work culture focused on innovative disruption\nCalifornia Applicants\nCalifornia Consumer Privacy Act \nEqual Opportunity & Accommodations\nCoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.\nAs part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: .\nExport Control Compliance\nThis position requires access to technology and/or source code subject to U.S. export control laws. Any such access will be provided only in compliance with applicable U.S. export control requirements. As part of the recruitment process, CoreWeave may request limited information reasonably necessary to assess applicable export-control requirements.","description_format":"text","description_chars":6776,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Life insurance","Parental leave","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Centers & Colocation","Cloud Platforms (IaaS & PaaS)","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-11-14T02:54:34Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 86","filings_12m":86,"filings_prev_12m":10,"green_card_filings_12m":0,"median_offered_wage_usd":232500,"route":null,"cap_exempt":false,"checked_at":"2026-11-12T07:36:15+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":49}],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.503,"p_room":0.28,"age_days":242,"expected_fill_days":61,"reasons":["conf:1","win:tail","crowd:brand"],"computed_at":"2026-11-14T04:28:25Z"},"pay":null,"html_url":"https://alion.io/job/coreweave-senior-deployment-engineer-llm-inference-optimization","json_url":"https://alion.io/job/coreweave-senior-deployment-engineer-llm-inference-optimization.json","meta":{"generated_at":"2026-11-14T04:28:25Z","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":7156,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":7348},"rest":"https://alion.io/mcp/rest/get_company?id=7348"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcoreweave-senior-deployment-engineer-llm-inference-optimization"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Fcoreweave-senior-deployment-engineer-llm-inference-optimization"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fcoreweave-senior-deployment-engineer-llm-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/coreweave-senior-deployment-engineer-llm-inference-optimization\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcoreweave-senior-deployment-engineer-llm-inference-optimization"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4300443}},{"tool":"search_jobs","arguments":{"company":"coreweave.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4300443},"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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