Forward Deployed Engineer

Rebellions | Singapore Citizens only | Full Time

ABOUT REBELLIONS

Rebellions builds high-performance AI systems with full-stack software natively supporting PyTorch and vLLM – familiar, open, and ready for production. Our Rebel 100™ delivers the best performance per dollar per watt, purpose-built for inference from the ground up, not retrofitted from training.

With proven commercial deployments already live across enterprises and governments, and a chiplet architecture built for the most demanding AI workloads, Rebellions is making good on a simple belief: every organization and nation should be able to own and control their AI, not just access it.

About the Role

As a Forward Deployed Engineer based in Singapore, you will be Rebellions' primary on-the-ground technical resource for customers and partners across the region. The role emphasizes pre-sales technical leadership — running demos, scoping and executing PoVs, and translating customer requirements into deployable Rebellions solutions — with the technical depth to engage credibly with customer infrastructure and platform teams when the conversation gets specific.

Responsibilities and Opportunities

Partner with the regional sales team as the lead technical resource for customer engagements, from initial technical conversations through PoV design and execution

Build and deliver product demos, technical presentations, and benchmarking content tailored to real-world AI services such as LLM inference and vision pipelines

Design and prototype reference architectures for customer deployments on Rebellions' AI platform, including serving stack configuration, Kubernetes integration, and performance characterization

Evaluate end-to-end inference performance (throughput, latency, energy efficiency), identify system-level bottlenecks, and optimize serving and routing strategies for customer workloads

Engage customer technical teams — infrastructure leads, platform engineers, and ML practitioners — to walk through architecture decisions, deployment plans, and live troubleshooting

Create clear and concise technical documentation, integration guides, and best practices for customers and partners

Relay customer feedback to internal software and hardware engineering teams to help shape product direction and regional go-to-market strategy

Key Qualifications

Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field

Minimum 3 years in technical roles involving AI/ML systems deployment, customer engagement, or solutions engineering

Solid hands-on experience standing up Kubernetes-based AI inference stacks — orchestration, serving, and inference runtimes — for customer projects

Familiarity with modern distributed LLM inference orchestration (NVIDIA Dynamo, llm-d, vLLM disaggregated serving, or equivalent KV-cache-aware systems)

Working knowledge of Python and PyTorch

Strong presentation and storytelling skills — comfortable running demos, leading technical discussions, and walking customers through architecture and deployment plans

Strong communication and collaboration skills, with experience working across engineering, business, and strategy teams and engaging directly with customers

English fluency required

Ideal Qualifications

Prior experience in technical customer-facing roles such as Solutions Engineer, Sales Engineer, or Field Application Engineer — particularly with a pre-sales motion

Practical familiarity with GPU infrastructure (NVIDIA DGX/HGX, NVLink, InfiniBand/RoCE), networking, and storage for AI workloads

Solid understanding of hardware acceleration (NPU, GPU, edge AI chips) and practical experience with model optimization techniques such as quantization and pipelining

Experience producing technical content (blogs, documentation, whitepapers) for AI/ML practitioners

Comfortable representing the company at industry events — working trade show booths, running technical demos, and presenting at conferences

Comfortable operating with autonomy as part of a small, fast-moving regional team

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: [HIDDEN TEXT].