Senior Forward Deployed Engineer – AI/ML
DigitalOcean
full-time
Posted on:
Location Type: Remote
Location: Washington • United States
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Salary
💰 $140,000 - $174,000 per year
Job Level
Tech Stack
About the role
- Partner deeply with strategic ANEs to manage complex migrations
- Operationalize field learning by building migration planners, GPU optimization agents
- Create pre-built GenAI agents and solution templates
- Act as the frontline technical voice for CPTO
- Lead the early testing and integration of emerging AI frameworks
- Co-develop delivery frameworks with Strategic and Technical partners
- Produce field-tested demo kits and deployment guides
Requirements
- Significant experience in AI/ML lifecycle, specifically hosting large language or multimodal models
- Expertise in modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm)
- Proficiency in Kubernetes and the design of distributed systems
- Strong production coding skills in Python or Go
- Proven ability to benchmark AI infrastructure and perform GPU utilization tuning
Benefits
- Competitive salary
- Bonus eligibility based on performance
- Equity compensation options
- Employee Assistance Program
- Flexible time off policy
- Professional development reimbursement for conferences, training, and education
- Access to LinkedIn Learning courses
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI/ML lifecyclelarge language modelsmultimodal modelsGPU optimizationNVIDIAAMDCUDAROCmKubernetesPython
Soft Skills
technical communicationleadershipcollaboration