{"id":701888,"url":"https://alion.io/job/inferact-member-of-technical-staff-developer-relations","title":"Member of Technical Staff, Developer Relations","company":{"id":678585,"name":"Inferact","domain":"inferact.ai","url":"https://alion.io/company/inferact","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":85,"open_postings":25,"ghost_share":0,"stale_share":0.6,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Product","role_family":"Product","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 Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":400000,"currency":"USD","period":"year","gross":null,"usd_annual":400000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Baseten","optional":false},{"name":"BentoML","optional":false},{"name":"KV Cache","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Quantization","optional":false},{"name":"Ray","optional":false},{"name":"Ray Serve","optional":false},{"name":"SGLang","optional":false},{"name":"Speculative Decoding","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"TGI","optional":false},{"name":"vLLM","optional":false},{"name":"Anyscale","optional":true},{"name":"CUDA","optional":true},{"name":"HPC","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorRT","optional":true},{"name":"Together AI","optional":true}],"status":"live","first_seen_at":"2026-06-17T22:39:32Z","employer_posted_date":"2026-06-17","last_verified_at":"2026-11-05T15:30:12Z","board_verified":true,"closed_at":null,"days_open":140,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":140},"description":"Overview\nInferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware, a position that took years to build.\nAbout the Role\nWe're looking for a Developer Relations Engineer to help make vLLM the default way developers understand, build, and scale AI inference. This is not a generic DevRel role. We're looking for a inference systems educator-builder: someone who can understand vLLM as a deep LLM inference systems project, teach hard technical concepts clearly, and create public artifacts that help practitioners build better systems.\nYou'll write technical deep dives, build demos, create tutorials, contribute to docs and examples, host workshops, and help developers understand topics like KV cache, continuous batching, prefix caching, prefill and decode, quantization, GPU serving, latency versus throughput, and model-server tradeoffs across vLLM and adjacent systems. Your work will shape how the broader AI infrastructure community learns, adopts, and builds with vLLM.\nSkills and Qualifications\nMinimum qualifications:\nBachelor's degree or equivalent experience in computer science, engineering, machine learning, systems, or similar.\n\nStrong technical understanding of LLM inference systems, model serving, GPU inference, distributed runtimes, scheduling, batching, quantization, or related infrastructure.\n\nAbility to credibly explain systems concepts such as KV cache, PagedAttention, continuous batching, prefill / decode scheduling, prefix caching, speculative decoding, tensor parallelism, data parallelism, or latency versus throughput tradeoffs.\n\nExperience with vLLM or adjacent inference technologies such as SGLang, TensorRT-LLM, TGI, LoRAX, Ray Serve, FlashInfer, BentoML, Baseten-style serving platforms, or similar systems.\n\nA strong public portfolio of technical artifacts, such as blogs, tutorials, workshops, courses, OSS docs, benchmark posts, architecture explainers, conference talks, demos, or runnable repositories.\n\nAbility to write and teach for practitioners without sounding like a content marketer.\n\nStrong engineering judgment, product taste, and ability to turn raw technical material into useful developer education.\n\nPreferred qualifications:\nPrior work in ML systems, distributed systems, HPC, compilers, GPU kernels, serving infrastructure, MLOps, developer tooling, or open-source infrastructure.\n\nExperience creating technical content that teaches reusable mental models, not just product features.\n\nExperience contributing to developer-facing open source through docs, tutorials, examples, cookbooks, demos, or community support.\n\nExisting credibility or community presence in AI infrastructure, OSS, CUDA / GPU, Ray, vLLM, PyTorch, Modal, BentoML, Baseten, Predibase, Together AI, Anyscale, LMSYS, or similar ecosystems.\n\nAbility to host workshops, create hands-on labs, present technical talks, and help developers move from concept to working code.\n\nBonus points if you have:\nWritten widely-shared technical blogs, courses, or architecture deep dives on LLM inference, model serving, GPU serving, or ML systems.\n\nBuilt demos, benchmarks, tutorials, or repositories around vLLM, SGLang, TensorRT-LLM, TGI, Ray Serve, FlashInfer, or related systems.\n\nContributed to open-source ML infrastructure, inference systems, developer tooling, or technical education projects.\n\nCreated practitioner-facing content with code, diagrams, benchmarks, demos, or end-to-end labs.\n\nBuilt a durable personal portfolio that demonstrates technical depth, taste, and a strong point of view.\n\nLogistics\nLocation: This role is based in San Francisco, California. Will consider remote in the US for exceptional candidates.\n\nCompensation: Depending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $400,000 USD + equity.\n\nVisa sponsorship: We sponsor visas on a case-by-case basis.\n\nBenefits: Inferact offers generous health, dental, and vision benefits as well as 401(k) company match.","description_format":"text","description_chars":4145,"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"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Compute & Inference","AI Development Tools"],"lifecycle":[{"event":"open","at":"2026-09-11T03:00:30Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 5","filings_12m":5,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":245500,"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":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.282,"p_room":0.28,"age_days":140,"expected_fill_days":28,"reasons":["conf:1","stale_co","win:tail","crowd:"],"computed_at":"2026-11-05T05:54:30Z"},"pay":{"stated_usd_annual":400000,"is_top_pay":true},"html_url":"https://alion.io/job/inferact-member-of-technical-staff-developer-relations","json_url":"https://alion.io/job/inferact-member-of-technical-staff-developer-relations.json","meta":{"generated_at":"2026-11-05T20:16:51Z","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":27492,"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":678585},"rest":"https://alion.io/mcp/rest/get_company?id=678585"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Finferact-member-of-technical-staff-developer-relations"},{"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%2Finferact-member-of-technical-staff-developer-relations"},{"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%2Finferact-member-of-technical-staff-developer-relations"},{"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/inferact-member-of-technical-staff-developer-relations\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Finferact-member-of-technical-staff-developer-relations"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":701888}},{"tool":"search_jobs","arguments":{"company":"inferact.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":701888},"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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