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

• 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

Rebellions is committed to fostering a diverse and inclusive workplace. We are an equal opportunity employer and value diversity within our company. We do not discriminate based on personal identity. Applicants who would like to contact us regarding the accessibility of our website or who need special assistance or a reasonable accommodation for any part of the application or hiring process may contact us at: people@rebellions.ai.