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HomeCompaniesHophrStaff Engineer, Agentic Models

Staff Engineer, Agentic Models

Hophr · Dallas, TX · On Site · Active · Lever

Job facts

FieldValue
CompanyHophr
TitleStaff Engineer, Agentic Models
Normalized title-
Department / teamEngineering / Artificial Intelligence
LocationDallas, TX, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerLever
Posted / first seen2026-04-20 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Hophr.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Dallas.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive On Site postings.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

CompanyHophr
Source98e82113-48f8-4a8a-9ad8-b70e3d5a2efe
ATS providerLever

Description

If you're a builder with a passion for AI, a global semiconductor company wants you on our SoC AI team as a Staff Engineer focused on agentic models. We're redefining how autonomous systems interact with the real world, and we need creative minds who thrive in rapid-paced, mission-driven environments. Here, you'll gain unique experience integrating AI models with both software and hardware, learning how to make autonomous systems function seamlessly across the entire stack. You'll take models from initial concept through training, fine-tuning, and RL, deploying them for agentic systems. We're laser-focused on innovation and adaptability - here, your ideas will shape the next wave of smart, agentic devices. What You'll Do: • Own the full lifecycle of agentic AI models: architect, train, fine-tune, and optimize it for AI agents. • Work hand-in-hand with hardware, software, and product teams to put advanced, autonomous behaviors into smart agentic systems. • Prototype with the latest RL and multi-agent paradigms, pushing boundaries and making models work in the real world - even when resources are tight. • Constantly iterate - tune for speed, reliability, efficiency, and seamless integration with embedded hardware. • Identify new ways to leverage agentic models across edge and embedded AI, staying ahead of the curve and championing next-gen applications. Who You Are: • Deeply hands-on with AI model development for agentic systems - your GitHub showcases innovative real-world projects, or you have published technical papers in top conferences demonstrating your creative and practical expertise. • Experience in autonomous agent modeling, RL, adaptive algorithms, and frameworks like RAG, persistent memory, and multi-agent collaboration. • Fluent in Python and C/C++, and at home in TensorFlow, PyTorch, or similar platforms. • Problem solver and communicator - ready to connect, share, and lead in a diverse, cross-functional team. Bonus Points: • Strong grasp of optimizing AI on any hardware for strict resource budgets. • Track record of launching real-world models and AI-powered products that users love. Why Join Us? You'll be at the epicenter of game-changing AI innovation, driving the evolution of intelligent embedded systems that are poised to transform entire industries. Join forces with brilliant engineers, tap into breakthrough technologies, and play a pivotal role in revolutionizing automotive, industrial automation, and IoT. Here, your contributions won't just move the needle - they'll redefine what's possible and shape the future of smart devices worldwide.

Full job record

Job ID70cbd6215ab5491fc11710d66dc14605fcd366ac
Org IDc02383ec-f1aa-4454-a175-b91896851020
Source ID98e82113-48f8-4a8a-9ad8-b70e3d5a2efe
Board ID98e82113-48f8-4a8a-9ad8-b70e3d5a2efe
Providerlever
Provider Job Keyf091a646-d374-4670-b979-1d8b84bb3911
TitleStaff Engineer, Agentic Models
Normalized Title
Statusactive
Activeyes
Location TextDallas, TX
DepartmentEngineering
TeamArtificial Intelligence
Employment TypeFull- Time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionTX
CityDallas
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.lever.co/hophr/f091a646-d374-4670-b979-1d8b84bb3911
Apply URLhttps://jobs.lever.co/hophr/f091a646-d374-4670-b979-1d8b84bb3911/apply
First Seen At2026-05-29 07:01:27Z
Last Seen At2026-06-06 07:56:33Z
Last Checked At2026-06-06 07:56:33Z
Last Changed At2026-05-29 07:01:27Z
Inactive At
Source Posted At2026-04-20 05:59:54Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=hophr/date=2026-06-06/2026-06-06T07-56-33-106Z-66b290b87268f1a7a1f2329dae781d4b69aa44b815e3d81199621aa8f910c716.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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