{"id":98904,"url":"https://alion.io/job/lambda-senior-solution-engineer","title":"Senior Solution Engineer","company":{"id":32991,"name":"Lambda","domain":"lambda.ai","url":"https://alion.io/company/lambda-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":83,"open_postings":6,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":44,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","San Jose, United States","Bellevue, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":226000,"max":355000,"currency":"USD","period":"year","gross":null,"usd_annual":355000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Ansible","optional":false},{"name":"AWS Lambda","optional":false},{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Docker","optional":false},{"name":"InfiniBand","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"NVIDIA NeMo","optional":false},{"name":"NVLink","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"SLURM","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"Terraform","optional":false},{"name":"vLLM","optional":false},{"name":"AWS","optional":true},{"name":"Fine-tuning","optional":true},{"name":"gRPC","optional":true},{"name":"Machine Learning","optional":true},{"name":"Megatron-LM","optional":true},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-08-03T22:30:52Z","employer_posted_date":"2026-08-03","last_verified_at":"2026-10-12T08:18:19Z","board_verified":true,"closed_at":null,"days_open":69,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":69},"description":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\nIf you'd like to build the world's best AI cloud, join us.\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\nThe Lambda Cloud GTM team powers our growth by enabling customers to realize their business goals with AI infrastructure. We partner with leading AI researchers and enterprise engineering teams to design, scale, and optimize high-performance GPU cloud solutions. Driven by technical mastery, agility, and a customer-first mindset, our team turns massive compute challenges into seamless, production-ready AI infrastructure.\nWhat You’ll Do\nDrive technical sales & executive influence\nPartner with Account Executives to lead complex deals with large enterprises and digital native businesses and build trusted relationships with technical leaders (CTOs, Heads of AI/ML, Platform Leads)\n\nEvaluate customer architectural needs, uncover potential bottlenecks, and design end-to-end GPU cloud solutions\n\nAuthor comprehensive proposals & architecture diagrams and collaborate with teams on Bill of Materials (BOMs), and rack elevations for multi-node GPU clusters\n\nLead hands-on proof-of-concept (PoC) activities & benchmarking for customers\nDesign, execute, and deliver technical PoCs and custom prototypes to demonstrate Lambda’s performance, reliability, and value\n\nRun benchmark evaluations across training and inference workloads to show tangible performance and cost advantages over competitors\n\nArchitect & optimize AI/ML workloads\nGuide enterprise engineering teams on structuring their AI lifecycle-from data ingestion and distributed training (SLURM, Kubernetes) to inference optimization (vLLM, TensorRT-LLM) and observability\n\nProvide architectural guidance on high-performance networking (InfiniBand, RoCE), distributed storage, and cluster topologies to ensure maximum GPU utilization\n\nChampion customer feedback & product advocacy\nServe as the technical voice of the customer internally, funneling field insights, product gaps, and feature requests directly to Lambda’s Product and Engineering teams\n\nCreate field enablement assets, technical whitepapers, architectural blueprints, and lead technical workshops for prospective clients & partners\n\nRepresent Lambda as a subject matter expert at industry conferences, webinars, and technical community events\n\nReinforce Lambda’s culture\nContribute positively throughout the organization\n\nMaintain a high level of agility and responsiveness\n\nHyper-focused on customer satisfaction\n\nYou\nHave a proven track record deploying, benchmarking, and optimizing workloads on NVIDIA GPU architectures (e.g., HGX platforms, NVLink) using deep learning frameworks (PyTorch, NeMo) and inference engines (vLLM, TensorRT-LLM)\n\nHave 8+ years of experience designing, deploying, and scaling enterprise cloud infrastructure\n\nHave 4+ years in a Solution Architect, Solution Engineer, or technical customer-facing capacity supporting complex cloud environments\n\nHave 3+ years of hands-on experience architecting and deploying cloud-based AI/ML workloads\n\nHave strong experience with modern infrastructure orchestration tools such as Kubernetes, Docker, SLURM, Terraform, and Ansible\n\nHave deep knowledge of cloud networking concepts, including high-speed interconnects (InfiniBand, RoCE), distributed file systems (NFS, NVMe-oF, Weka, VAST), security, and cost optimization\n\nHave experience coding in Python, Go, C/C++ (CUDA) or similar programming language\n\nHave experience partnering with Account Executives to close complex cloud deals, present technical architectures to C-level stakeholders (CTOs, VP of Eng), and drive customer alignment\n\nHave demonstrated impact at an organizational/multi-departmental level and are effective mentoring junior SEs or architects\n\nThrive in dynamic settings and embrace radical ownership of initiatives and outcomes\n\nNice to Have\nDirect experience with end-to-end LLM fine-tuning, algorithm selection, pipeline design, or distributed training setups (3D parallelism, Megatron-LM)\n\nPrior experience with product launches, leading GTM initiatives, or publishing technical whitepapers/benchmarks\n\nExperience integrating RESTful APIs, gRPC, and service-oriented cloud architectures\n\nSalary Range Information\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\nAbout Lambda\nFounded in 2012, with 500+ employees, and growing fast\n\nOur investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\nWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\nOur values are publicly available: https://lambda.ai/careers\n\nWe offer generous cash & equity compensation\n\nHealth, dental, and vision coverage for you and your dependents\n\nWellness and commuter stipends for select roles\n\n401k Plan with 2% company match (USA employees)\n\nFlexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","description_format":"text","description_chars":6068,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cloud Platforms (IaaS & PaaS)","Servers & Data Center Hardware","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-09-05T10:33:29Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 19","filings_12m":19,"filings_prev_12m":7,"green_card_filings_12m":0,"median_offered_wage_usd":267500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":3}],"liveness":{"score":29,"band":"fade","label":"Fading","p_open":1,"p_active":0.806,"p_room":0.36,"age_days":69,"expected_fill_days":44,"reasons":["conf:3","velocity","win:tail","crowd:"],"computed_at":"2026-10-12T06:55:09Z"},"pay":{"stated_usd_annual":355000,"is_top_pay":true},"html_url":"https://alion.io/job/lambda-senior-solution-engineer","json_url":"https://alion.io/job/lambda-senior-solution-engineer.json","meta":{"generated_at":"2026-10-12T12:04:20Z","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":18880,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":32991},"rest":"https://alion.io/mcp/rest/get_company?id=32991"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flambda-senior-solution-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%2Flambda-senior-solution-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%2Flambda-senior-solution-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/lambda-senior-solution-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flambda-senior-solution-engineer"}]}