AI Solutions Engineer
Responsibilities and Opportunities
- Act as the primary technical contact for customers throughout the engagement lifecycle, delivering exceptional guidance and ongoing support
- Accelerate the adoption of Rebellions’ AI solutions by creating and delivering tailored product demos and technical presentations for real-world AI applications (e.g., LLM inference, vision pipelines) and serving frameworks (e.g., vLLM)
- Develop a deep understanding of Rebellions’ AI solutions by evaluating end-to-end performance (e.g., throughput, latency, energy efficiency) and producing insightful reports
- Create clear, concise technical documentation, best practices, and integration guides for customers and partners
- Collaborate closely with internal software and hardware engineering teams to provide customer feedback and influence future product improvements and business opportunities
Key Qualifications
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field
- Strong problem-solving skills with a proactive, analytical approach to technical challenges
- Solid understanding of AI inference and serving frameworks such as PyTorch, vLLM, or TensorRT
- Hands-on experience with Python for inference workloads, benchmarking, and debugging
- Excellent communication and collaboration skills; experience working with internal cross-functional teams and directly engaging with customers
Ideal Qualifications
- Hands-on experience designing and deploying end-to-end AI systems, with a focus on inference, serving, system-level optimization, and performance benchmarking
- Knowledge of hardware acceleration (NPU, GPU, edge AI chips) and practical experience with model optimization techniques (e.g., quantization, pipelining)
- Familiarity with modern AI model architectures, including LLMs, CNNs, and transformers
- Prior experience in technical customer-facing roles such as Field Application Engineer (FAE), Solutions Engineer, or Sales Engineer
- Experience writing technical content such as blogs, documentation, or whitepapers targeting AI/ML practitioners
전형절차
- 서류전형 - On-line 인터뷰 - On-site 인터뷰 - Culture-fit 인터뷰 - 처우협의 - 최종합격
- 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.
- 전형일정 및 결과는 지원 시 작성하신 이메일로 개별 안내 드립니다.
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.
- [email protected]
