{"id":1493879,"url":"https://alion.io/job/tensordyne-director-ai-systems-solutions-engineering","title":"Director, AI Systems Solutions Engineering","company":{"id":39776,"name":"Tensordyne","domain":"tensordyne.ai","url":"https://alion.io/company/tensordyne","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":84,"open_postings":21,"ghost_share":0.19,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":214,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Solutions","role_family":"Solutions","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States","San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":184000,"max_usd":381000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":196},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"KV Cache","optional":false},{"name":"LLM","optional":false},{"name":"Multimodal AI","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"SGLang","optional":false},{"name":"Triton","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-09-29T23:14:49Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-27T17:03:03Z","board_verified":true,"closed_at":null,"days_open":27,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":27},"description":"About Tensordyne\nTensordyne is building a new class of AI inference system designed for high-performance, power-efficient deployment of the world’s most demanding generative AI workloads.\nOur platform combines purpose-built silicon, new AI math, optimized scale-up networking, and memory architecture into a tightly integrated system purpose built for large-scale AI inference. We work with hyperscalers, neoclouds, frontier model developers, enterprises, and infrastructure partners operating at the leading edge of AI.\nAs Tensordyne moves from system development into silicon bring-up, customer validation, beta deployments, and production rollout, we are building the technical customer organization that will sit directly between our engineering teams and the companies deploying the platform.\nWe are looking for an exceptional technical leader to help build and lead that function.\nThe Role\nTensordyne is hiring a Director of AI Systems Solutions Engineering to own and grow our most important technical customer engagements.\nThis is a senior, highly technical role for someone who understands modern AI infrastructure from model architecture through accelerator hardware, distributed inference, serving software, and datacenter deployment - and who can credibly engage with the engineers and architects building the next generation of AI platforms.\nYou will work directly with frontier model builders, hyperscalers, neoclouds, developers, infrastructure partners, and strategic customers as they evaluate and deploy Tensordyne systems.\nYou will also build and lead a small team of exceptional Sales and Solutions Engineers responsible for customer benchmarking, technical evaluation, NPI, model enablement, AI DC architecture, and production deployment.\nThis is not a traditional pre-sales engineering role. The team will operate at the frontier of a rapidly changing technology landscape, working with constantly evolving new models and requirements. The right person will be equally comfortable in a customer architecture review, helping prioritize product capabilities and roadmaps, and leading a technical evaluation with hyperscalers and frontier AI companies.\nWhat You Will Own\nStrategic technical customer engagements: Own the technical relationship with key customers and partners from initial architecture discussions through benchmarking, evaluation, integration, deployment, and expansion.\nTechnical evaluation strategy: Define how Tensordyne demonstrates system performance across KPI's like throughput, tokens/sec/user, ttft, memory utilization, power efficiency, system density, model accuracy/quality, and other relevant inference metrics.\nAI workload and model architecture engagement: Work with customers and model developers to understand current and emerging HW and model architectures, serving requirements, context lengths, parallelism strategies, model topology, quantization approaches, and inference optimization requirements.\nBenchmarking and competitive analysis: Maintain a technically rigorous understanding of Tensordyne performance relative to leading GPU and AI accelerator platforms. Ensure customer-facing comparisons are credible, reproducible, current, and aligned with real deployment requirements.\nModel enablement and optimization: Partner with compiler, runtime, kernel, systems, and SDK teams to bring important customer models and workloads onto the Tensordyne platform and identify opportunities for performance improvement.\nForward deployment: Lead technical PoCs, remote evaluations, on-premises beta deployments, integration programs, and production readiness efforts with strategic customers.\nCustomer-to-product feedback loop: Translate recurring customer requirements into clear priorities for the SDK, compiler, runtime, inference server, model support, orchestration, networking, observability, and system architecture teams.\nTechnical market intelligence: Stay deeply current on model architectures, inference techniques, accelerator roadmaps, serving frameworks, competitive systems, benchmarking methodologies, and changes in the AI infrastructure market.\nTeam leadership: Help recruit, develop, and lead a small team of elite Sales/Solutions Engineers capable of independently managing sophisticated technical engagements with the world’s most demanding AI infrastructure customers.\nScalable technical GTM: Turn early customer engagements into repeatable benchmarks, evaluation frameworks, reference architectures, deployment playbooks, documentation, demos, and technical collateral that can support a rapidly growing customer base.\nWhat We Are Looking For\nWe are looking for a proven AI systems leader with substantial technical depth and strong judgment.\nYou should bring:\nDeep understanding of modern AI inference systems, including LLM and multimodal architectures.\nStrong knowledge of AI accelerator and system architecture, including compute, memory hierarchy, interconnect, parallelism, and distributed inference.\nExperience reasoning about inference performance across latency, throughput, memory bandwidth, utilization, batching, context length, prefill, decode, and system scaling.\nHands-on familiarity with modern AI frameworks and serving environments such as PyTorch, vLLM, SGLang, Triton, or comparable systems.\nExperience working across the boundary between AI software and accelerator hardware, ideally including GPUs, custom silicon, or emerging AI accelerators.\nExperience benchmarking and optimizing workloads on large-scale AI infrastructure.\nStrong understanding of production inference techniques including quantization, tensor/model/expert parallelism, disaggregated serving, KV-cache management, distributed execution, and related optimization strategies.\nDemonstrated ability to engage technically sophisticated external organizations including Sr technical leaders at hyperscalers, cloud providers, model developers, AI infrastructure companies, or large enterprise engineering teams.\nExperience leading high-performing Solutions Engineering, Field Engineering, Forward Deployed Engineering, or comparable technical customer teams.\nAbility to operate effectively in a fast-moving environment where the product, software stack, competitive landscape, and customer requirements are evolving simultaneously.\nParticularly Relevant Experience\nCandidates may come from organizations building or deploying:\nGPU or custom AI accelerator platforms\nLarge-scale AI inference infrastructure\nFrontier or foundation models\nHyperscale cloud infrastructure\nAI serving and orchestration platforms\nCompiler, runtime, or distributed AI systems\nHigh-performance computing or distributed systems\nExperience bringing a new accelerator architecture or AI infrastructure platform from early access through customer validation and production deployment is especially valuable.\nWhy This Role Matters\nTensordyne is entering the stage where our technology moves from internal development into the hands of customers.\nThe technical customer organization will play a central role in that transition.\nThis team will help determine which workloads we prioritize, how customers evaluate our platform, how quickly new models become production-ready, how effectively customer feedback reaches engineering, and ultimately how Tensordyne systems are adopted at scale.\nWe are looking for someone who wants to build that capability from the beginning - and establish the technical standard for how Tensordyne engages with the companies defining the future of AI infrastructure.\nTensordyne's culture was built on the following values\nPut people first. We only succeed when our people succeed.\nEthics and integrity always; Being open, honest, and respectful of everyone.\nThink Big. Be ambitious and have audacious goals.\nAim for excellence. Quality and excellence count in everything we do.\nOwn it and get it done. Results matter!\nMake each person better together, than they would be as an individual.\nEmbrace each others’ differences, and embrace that there will be differences.\nTensordyne is an equal opportunity employer. We believe that a diverse team is better at tackling complex problems and coming up with innovative solutions. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.\nA note to Recruitment Agencies: Please don’t reach out to Tensordyne employees or leaders about our roles -- we’ve got it covered. We don’t accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes. 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