{"id":3286464,"url":"https://alion.io/job/cornelis-networks-ai-performance-engineer","title":"AI Performance Engineer","company":{"id":8693,"name":"Cornelis Networks","domain":"cornelis.com","url":"https://alion.io/company/cornelis","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"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"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":145000,"max_usd":323000,"period":"year","method":"role_country_seniority_unknown","sample_n":4425},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"DeepSpeed","optional":false},{"name":"FSDP","optional":false},{"name":"GCC","optional":false},{"name":"Grafana","optional":false},{"name":"HPC","optional":false},{"name":"InfiniBand","optional":false},{"name":"KV Cache","optional":false},{"name":"Linux","optional":false},{"name":"Llama","optional":false},{"name":"llama.cpp","optional":false},{"name":"Megatron-LM","optional":false},{"name":"Mixture of Experts","optional":false},{"name":"MPI","optional":false},{"name":"NCCL","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Qwen","optional":false},{"name":"vLLM","optional":false},{"name":"C","optional":true},{"name":"SLURM","optional":true}],"status":"live","first_seen_at":"2026-10-26T18:35:28Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-29T22:58:10Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Cornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture integrates hardware, software, and system technologies to maximize the efficiency of GPU, CPU, and accelerator-based clusters at any scale. We’recommitted to innovation, performance, and scalability-helping customers push the boundaries of what’spossible.\nWe are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track recordof building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.\nWe’reseeking an AI Performance Engineer. Join us to optimizetraining and multi-node inference across next-gen networking silicon and systems-adapters, switches, and the software stack that ties it all together. You’llpartner with architecture, firmware, software, and lighthouse customers to turn lab results into field-proven wins.\nKey Responsibilities\nMeasure & optimizeend-to-end performancefor distributed AI workloads (training + multi-node inference) across CPU & GPU clusters and diverse fabrics (Omni-Path, Ethernet, InfiniBand).\nBenchmark, characterize, and tuneopen-source & industry workloads and benchmarks (e.g., Llama, Qwen) on current and future compute, storage, and network hardware, including frameworks such as Megatron-LM, TorchTitan, Composer, vLLM, llama.cpp, etc.\nDesign and optimizedistributed serving topologies(sharded/replicated, tensor/pipe parallel, MoEexpert placement), continuous/adaptive batching, KV-cache sharding/offload (CPU/NVMe) & prefix caching.\nOptimizetraining & inferencing: ValidateRDMA/GPUDirectRDMA, congestion control, and collective/point-to-point tradeoffs during inference.\n\nBuild crisp proof pointsthat compare Cornelis Omni-Path to competing interconnects; translate data into narratives for sales/marketing and existing customers.\nInstrument and visualizeperformance (Nsight Systems, VTune, perf, app timers) plus database visualization (Prometheus/Grafana).\nEvangelize best practicesthrough briefs, READMEs, blogs, articles, and peer-reviewed publications\nMinimum Qualification\nBSin CS/EE/CE/Math or related (MS preferred) and 2-3+ yearsrunning AI/ML at cluster scale.\nProven ability to set up, run, and analyzeAI benchmarks; deep intuition for message passing, collectives, scaling efficiency, and bottleneck huntingfor both training and inference.\nHands-on with distributed trainingbeyond single-GPU (DP/TP/PP, ZeRO, FSDP, sharded optimizers) and distributed inference architectures(replicated vs sharded, tensor/KV parallel, MoE).\nPractical experience across AI stacks & comms:PyTorch, DeepSpeed, Megatron-LM, RCCL/NCCL,vLLM, llama.cpp\n\nComfortable with compilers(GCC/LLVM/Intel/OneAPI) and MPI\nstacks; Python + shellpower user.\n\nFamiliarity with network architectures(Omni-Path/OPA, InfiniBand, Ethernet/RDMA/RoCE) and Linuxsystems at the performance-tuning level, including NIC offloads, CQ moderation, pacing, ECN.\n\nExcellent written and verbal communication-turn measurements intocustomer persuasion.\n\nPreferred Qualifications\nCluster scheduler experience (e.g.SLURM, PBS).\nHands-on profiling & tracing of GPU/comm paths (Nsight Systems, Nsight Compute, ROCmtools/rocprof/roctracer, VTune, perf, etc.).\nBackground in HPC performance engineering or storage (BeeGFS, Lustre, NVMe-oF).\nLocation\nRemote: This role fully supports remote work for employees residing within the United States.\nCornelis is a company that is strongly led by our core values and believes in the responsibility of our people, which is why we fully support remote employees. When safe, we encourage travel for partner and client meetings, conferences, and company in-person collaboration and meetings. Expect travel to be less than 10%.\nCornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.","description_format":"text","description_chars":4284,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Information Technology","High-Performance Computing"],"lifecycle":[{"event":"open","at":"2026-10-26T18:35:28Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"Filed H-1B visas in the last two years","filings_12m":0,"filings_prev_12m":5,"green_card_filings_12m":0,"median_offered_wage_usd":null,"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":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":27,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/cornelis-networks-ai-performance-engineer","json_url":"https://alion.io/job/cornelis-networks-ai-performance-engineer.json","meta":{"generated_at":"2026-10-30T00:18:53Z","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":335,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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":8693},"rest":"https://alion.io/mcp/rest/get_company?id=8693"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcornelis-networks-ai-performance-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%2Fcornelis-networks-ai-performance-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%2Fcornelis-networks-ai-performance-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/cornelis-networks-ai-performance-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcornelis-networks-ai-performance-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3286464}},{"tool":"search_jobs","arguments":{"company":"cornelis.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3286464},"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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