Forward Deployed Engineer (Solutions focus)

Responsibilities and Opportunities

• Serve as the primary technical contact for customers throughout the engagement lifecycle, providing technical guidance and ongoing support
• Drive the adoption of Rebellions' AI solutions through product demos and technical presentations, while designing production-ready AI inference infrastructure with high availability and failover resilience
• Develop an in-depth understanding of Rebellions' AI solutions, evaluating end-to-end performance (e.g., throughput, latency, energy efficiency), identifying system-level bottlenecks, and optimizing workload scheduling and routing strategies for AI inference
• Create clear and concise technical documentation, best practices, and integration guides for customers and partners
• Work closely with internal software and hardware engineering teams to relay customer feedback and help shape future product and business direction

Key Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field
• Strong problem-solving skills, with a proactive and analytical approach to technical challenges
• Deep understanding of AI inference and serving frameworks (e.g., vLLM, TensorRT-LLM) and working knowledge of PyTorch
• Hands-on experience with Python and Kubernetes-based environments for deploying and troubleshooting AI inference workloads in production
• Strong communication and collaboration skills, with experience working across engineering, business, and strategy teams and engaging directly with customers

Ideal Qualifications

• Over 5 years of experience in technical roles involving AI/ML systems deployment, customer engagement, or system-level performance optimization in production environments
• Hands-on experience designing and deploying end-to-end AI inference systems, with a focus on serving, system-level optimization, and performance benchmarking in real-world environments
• Solid understanding of hardware acceleration (NPU, GPU, edge AI chips) and practical experience with model optimization techniques such as quantization and pipelining
• Prior experience in technical customer-facing roles such as Field Application Engineer, Solutions Engineer, or Sales Engineer
• Experience producing technical content such as blog posts, documentation, or whitepapers for AI/ML practitioners

전형절차

• 서류전형 > On-line 인터뷰 > On-site 인터뷰(과제 포함) > Culture-fit 인터뷰 > 처우 협의 > 최종 합격
• 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.
• 전형 일정 및 결과는 지원 시 작성하신 이메일로 개별 안내드립니다.

참고사항

• 본 공고는 모집 완료 시 조기 마감될 수 있습니다.
• 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다.
• 채용 및 업무 수행과 관련하여 요구되는 법령 상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다.
• 보훈 대상자 및 장애인 여부는 채용 과정에서 어떠한 불이익도 미치지 않습니다.
• 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다.
• 채용 관련 문의사항은 아래 메일 주소로 문의바랍니다.
• recruit@rebellions.ai