Senior Research Engineer responsible for designing AI - driven NLU systems in automotive sectors. Collaborating on machine learning techniques for enhanced in - car AI experiences.
About the role
- Principal Engineer leading GPU & LLM Infrastructure strategy and operations within Wells Fargo. Designing GPU architecture for cloud environments and overseeing large-scale deployments.
Responsibilities
- Lead the end‑to‑end strategy and operations of enterprise GPU platforms
- Design and evolve GPU architecture across on‑premises and cloud environments
- Guide POCs through production readiness
- Oversee Day‑2 operations for large‑scale, multi‑cloud deployments
- Act as an advisor to leadership to develop GPU buildout
- Lead the strategy and resolution of complex challenges
- Translate technology experience into engineering solutions
- Provide vision and expertise to leadership
- Maintain knowledge of industry best practices and recommend innovations
- Strategically engage with professionals and managers across the enterprise
- Design and implement GPU cluster topologies and networking
Requirements
- 7+ years of Engineering experience, or equivalent demonstrated through work experience, training, military experience, education
- 1+ years of experience with NVIDIA GPU and CUDA ecosystems
- 1+ years of experience with LLM/SLM runtimes
- 1+ years of experience in orchestration and GPU workload management
- 1+ years of experience with API and gateway platforms
- 1+ years of experience in observability and evaluation tooling
- 1+ years of experience in performance engineering
Benefits
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Job title
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Experience level
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Tech skills
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