1 день назад
Forward Deployment Engineer (AI)
138 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployment Engineer (AI): Designing, building, and deploying production generative AI applications on SambaNova's SN40L platform and SambaStack portfolio with an accent on LLM orchestration, RAG pipelines, fine-tuning workflows, and inference optimization. Focus on benchmarking throughput, latency, and accuracy, troubleshooting across model, software, and hardware layers, and translating customer requirements into scalable AI deployments.
Location: Remote - US; willingness to travel up to 50% to customer sites.
Salary: $138,000–$170,000 USD base salary per year.
Company
develops an integrated hardware and software platform for enterprise and government generative AI and high-performance computing.
What you will do
- Embed with strategic enterprise customers to design, build, and deploy production GenAI applications on the SN40L platform and SambaStack.
- Architect LLM-powered workflows, including RAG pipelines, multi-agent systems, fine-tuning workflows, and coding solutions.
- Optimize inference performance on hardware and benchmark model throughput, latency, and accuracy.
- Troubleshoot production issues across model, software, and hardware layers as the technical escalation lead.
- Translate customer needs into product requirements and engineering feedback while partnering with Product and Engineering.
- Develop reusable accelerators, reference architectures, and playbooks, and present technical findings to customers and internal stakeholders.
Requirements
- 5+ years of hands-on engineering experience shipping production AI/ML systems.
- Deep expertise in LLM orchestration, RAG, agentic frameworks, prompt engineering, and evaluation pipelines.
- Strong knowledge of model training, fine-tuning, inference optimization, quantization, and performance benchmarking.
- Proficiency in Python; working knowledge of C++ or CUDA is advantageous for hardware-layer debugging.
- Experience with AWS, Azure, or GCP, plus containerization, Kubernetes, Docker, and MLOps tooling.
- Bachelor's or graduate degree in Computer Science, Electrical Engineering, Mathematics, Physics, or equivalent practical experience; strong customer-facing communication skills.
Nice to have
- Experience with AI accelerators or custom silicon, including TPUs.
- CUDA or low-level GPU programming experience.
- Familiarity with vLLM or SGLang.
- Enterprise AI deployments in regulated industries.
Culture & Benefits
- Full-time US employment with equity and a competitive total rewards package.
- Medical insurance with 95% employee premium coverage and 77% dependent premium coverage.
- Dental, vision, disability, life, AD&D, HSA, and FSA benefits.
- Well-being benefits including Headspace, Gympass+, One Medical, and counseling through an Employee Assistance Program.
- Opportunity to work on enterprise-grade generative AI infrastructure and represent the platform at industry events.
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