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HomeCompaniesSambaNova SystemsPrincipal AI Solutions Engineer

Principal AI Solutions Engineer

SambaNova Systems · Austin, Texas, United States; Palo Alto, California, United States · Deleted · Greenhouse

Job facts

FieldValue
CompanySambaNova Systems
TitlePrincipal AI Solutions Engineer
Normalized title-
Department / teamProduct SW
LocationAustin, TX, United States
Work model-
Employment typeFull Time
Salary-
Statusdeleted
ATS providerGreenhouse
Posted / first seen2026-03-04 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-04

Related slices

PageWhat it containsOpen
Company jobsActive postings from SambaNova Systems.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Austin.Open
Department jobsActive postings in Product SW.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanySambaNova Systems
Source1b3a6b35-0559-4177-b641-7c6b1840bcff
ATS providerGreenhouse

Description

The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. A b out t he Rol e We are seeking a Principal AI Solutions Engineer to join our Product and Solution Engineering team, driving product adoption through advanced AI solutions development, agentic AI implementation, and performance benchmarking. This role combines deep technical expertise with customer-facing responsibilities, supporting our Customer Driven Product Program (CDPP) and Product QA initiatives. This senior technical role provides customer-facing architecture leadership essential for scaling SambaNova's enterprise adoption: Customer Reference Architectures : Design and document production-ready patterns for enterprise AI deployments SambaStack T ooling : Develop tooling and automation for SambaStack deployment and management Agentic AI Solutions : Build customer-facing agentic solutions that accelerate time-to-value U S T imezone Coverage : Enable global coordination with customers and partners across time zones Impact : Senior technical leadership for customer-facing architecture work. Drives adoption through reference implementations and best practices documentation. R e spons ibi l i t ie s AI Solutions Development : Develop robust, efficient, and scalable AI solutions for enterprise customers Agentic AI Implementation : Lead the design and implementation of agentic AI systems and multi-agent architectures Performance Benchmarking : Conduct comprehensive performance benchmarking and optimization of AI models and systems Customer Engagement : Lead technical enablement for CDPP customers through workshops and hands-on implementation sessions Model Integration : Integrate latest model architectures into SambaNova's platform stack End - to - End Solutions : Create complete ML application solutions from concept to production deployment Inference Optimization : Enable high-throughput, low-latency inference deployments for customer workloads Cross - Functional Leadership : Collaborate with product and engineering teams to drive platform improvements T echnical T hought Leadership : Contribute to reference architectures, best practices, and technical documentation R equired Q ualifications Bachelor's degree or higher in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or Statistics 5+ years of industry experience in software engineering or ML engineering 3+ years of hands-on experience with deep learning and machine learning systems Proficiency in Python or C++ programming Experience with modern ML frameworks: PyTorch, TensorFlow, or JAX Real-world experience deploying LLM-based applications Strong client communication and presentation skills Experience with benchmarking methodologies and performance optimization P referred Q ualifications Experience with multi-modal AI systems (vision, audio, text) Hands-on experience with distributed training/inference frameworks: vLLM, DeepSpeed, Megatron-LM Experience building agentic AI systems (LangChain, LangGraph, CrewAI, etc.) Knowledge of enterprise AI deployment patterns Experience with technical partnerships and customer-facing roles What We Offer Lead cutting-edge AI solutions for enterprise customers Work with the fastest AI inference platform in the industry Global team collaboration with exposure to diverse customer challenges Opportunity to shape AI adoption across enterprise markets Competitive compensation and benefits Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

Full job record

Job ID6739455e3e22c6eaac9d022904202cd2ba36ba70
Org IDff075df8-62ec-4c7c-940d-2d4eaced5526
Source ID1b3a6b35-0559-4177-b641-7c6b1840bcff
Board ID1b3a6b35-0559-4177-b641-7c6b1840bcff
Providergreenhouse
Provider Job Key5818989004
TitlePrincipal AI Solutions Engineer
Normalized Title
Statusdeleted
Activeno
Location TextAustin, Texas, United States; Palo Alto, California, United States
DepartmentProduct SW
Team
Employment Typefull-time
Workplace Type
Remote Policy
CountryUnited States
RegionTX
CityAustin
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://sambanova.ai/sambanova-available-positions/?gh_jid=5818989004
Apply URLhttps://sambanova.ai/sambanova-available-positions/?gh_jid=5818989004
First Seen At2026-05-29 22:56:55Z
Last Seen At2026-06-04 11:09:05Z
Last Checked At2026-06-06 19:29:21Z
Last Changed At2026-06-06 19:29:21Z
Inactive At2026-06-06 19:29:21Z
Source Posted At2026-03-04 15:56:52Z
Source Updated At2026-05-22 16:57:20Z
Raw Payload Uris3://bluework-jobs-prod-raw-590183727216/raw/provider=greenhouse/board=sambanovasystems/date=2026-06-04/2026-06-04T11-09-05-472Z-1b1a01db3ccf2789b409c1a3ff4d9039c24469517d581ff6c705b1d9f98d1ed9.json
Event Fields
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  "last_changed_at": "2026-06-06T19:29:21.134Z",
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Parsed Structured
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}
Extensions
{}
Native Structured
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  "first_published": "2026-03-04T10:56:52-05:00",
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