{"id":1959707,"url":"https://alion.io/job/mistral-ai-research-engineer-inference-foundation","title":"Research Engineer, Inference Foundation","company":{"id":22,"name":"Mistral AI","domain":"mistral.ai","url":"https://alion.io/company/mistral-ai","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":216,"ghost_share":0.005,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":64,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland","London, United Kingdom","Munich, Germany"],"countries":["PL","GB","DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":169000,"period":"year","method":"role_country_seniority_unknown","sample_n":61},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"InfiniBand","optional":false},{"name":"Kubernetes","optional":false},{"name":"KV Cache","optional":false},{"name":"LLM","optional":false},{"name":"Mistral","optional":false},{"name":"Mixture of Experts","optional":false},{"name":"NCCL","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Rust","optional":false},{"name":"SGLang","optional":false},{"name":"Speculative Decoding","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"Triton","optional":false},{"name":"vLLM","optional":false},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-10-06T13:03:50Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-18T08:43:02Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":11},"description":"About Mistral\nMistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.\nWe are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.\nThe Role\nThe Inference Foundation team owns the core of Mistral's inference stack: the inference engine and its orchestration, from the feature set and configuration that serve our models in production to the release machinery that keeps the stack current and production-grade.\nThis is a hybrid position spanning production LLM serving, engine and platform development, and capacity engineering. You will work on three intertwined problems:\nOptimize the inference stack at scale - feature development and fixes in the engine and orchestrator, squeezing more throughput and lower latency out of every GPU under strict quality-of-service targets.\n\nMake capacity elastic - scaling up and down should be cheap and fast, not a performance cliff.\n\nPower the training of our frontier models - high-performance serving that keeps RL and post-training loops running at full speed.\n\nWhat You Will Do\nInference engine & orchestration\nDevelop and fix the core of the inference stack - engine and orchestrator - including feature selection, configuration, and tuning for maximum performance at scale\n\nOwn the release process for the serving stack: validated, regression-free releases through automated performance gates and progressive rollout\n\nDrive improvements and fixes upstream when the open-source engine is the right place for them\n\nPerformance & capacity at scale\nOptimize serving efficiency across the fleet - driving down pod startup time, tackling cold-cache regressions on scale-up, smarter caching and offloading\n\nOptimize and maintain the optimal serving topology - overlap communication and transfers with computation, ensure optimal placement, connectivity, and routing\n\nServing for frontier training\nBuild the serving infrastructure that powers RL and post-training for our frontier models\n\nOptimize inference performance across the full spectrum of our workloads\n\nWhat We're Looking For\nExperience building and running ML/LLM services at scale, with clear latency and availability targets\n\nHands-on experience with inference engines such as vLLM, SGLang, TensorRT-LLM, or others\n\nA solid grasp of inference internals: prefill vs. decode, KV-cache behavior, batching, scheduling, speculative decoding, parallelism strategies\n\nFamiliarity with distributed and disaggregated serving architectures\n\nComfortable debugging across the full stack - CUDA/NCCL, kernels, containers, networking, storage\n\nPython for systems tooling and backend services; PyTorch\n\nKubernetes for running infrastructure at scale\n\nGPU and networking fundamentals: CUDA runtime, NCCL, InfiniBand/RDMA\n\nIt Would Be Great If You Have\nDemonstrated vLLM/sglang know-how - upstream contributions, or a track record of running in demanding production environments\n\nHardware-aware optimization for various model architectures\n\nExperience serving MoE models at scale (expert parallelism, expert placement/load balancing)\n\nCUDA/Triton kernel development; Nsight Systems/Compute profiling\n\nRust and/or C++ in production systems\n\nWhat We Offer\nWe offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.\nFor the most up-to-date details on benefits available in your location, please refer to our Benefits page.\nPrivacy Policy\nYour privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.","description_format":"text","description_chars":4237,"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":["Parental leave","Retirement plans","Wellness"],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"country"},{"name":"United Kingdom","iso":"GB","kind":"country"},{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["LLM & Generative AI","Code Intelligence","Foundation Models","AI Research Labs"],"lifecycle":[{"event":"open","at":"2026-10-06T14:48:18Z"}],"visa":[],"liveness":{"score":87,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.873,"p_room":1,"age_days":10,"expected_fill_days":64,"reasons":["conf:2","velocity","win:early","comp:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/mistral-ai-research-engineer-inference-foundation","json_url":"https://alion.io/job/mistral-ai-research-engineer-inference-foundation.json","meta":{"generated_at":"2026-10-18T11:58:13Z","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":17883,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":22},"rest":"https://alion.io/mcp/rest/get_company?id=22"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmistral-ai-research-engineer-inference-foundation"},{"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%2Fmistral-ai-research-engineer-inference-foundation"},{"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%2Fmistral-ai-research-engineer-inference-foundation"},{"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/mistral-ai-research-engineer-inference-foundation\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmistral-ai-research-engineer-inference-foundation"}]}