AI Infrastructure & Experience Engineer

Title: AI Infrastructure & Experience EngineerLocation: Mountain View, CADuration: 4 monthsKey ResponsibilitiesInference Optimization: Deploy and tune multiple LLMs and generative multimodal models on local inference hardware. Optimize performance metrics (TTFT, tokens/sec) via model quantization, caching strategies, and architecture-specific adjustments.Systems Engineering & CUDA: Leverage deep knowledge of the CUDA environment to build custom kernels, ensuring maximum utilization of the low cost GPU compute.Orchestration & Integration: Seamlessly bridge inference backends with orchestration layers (LiteLLM, Ollama, etc.) and frontends like OpenWebUI.Rapid Prototyping: Build functional, high-fidelity demos showcasing model memory capabilities, agentic workflows, and context-aware web search.Peripheral Connectivity: Implement communication protocols to bridge local AI compute with peripheral devices, including smart TVs, household appliances, and XR hardware.Technical QualificationsRecent experience in model optimization requiredHardware & Compute: Proven experience with NVIDIA eco-systems and ARM64 architecture.Systems Programming: Advanced proficiency in C++, Python, and Rust. Deep familiarity with CUDA and the ability to author/debug custom CUDA kernels for compute-intensive tasks.AI/ML Frameworks: Extensive experience with modern inference engines (llama.cpp, TensorRT-LLM, Ollama) and orchestration frameworks (LiteLLM).Software Engineering: Robust understanding of asynchronous programming (FastAPI), containerization (Docker/Kubernetes), sandbox environments, and API design for low-latency communication.Full-Stack Prototyping: Ability to quickly spin up modern frontend UIs (React, Next.js, or similar) to present AI-driven intelligence to end users.Communication Protocols: Familiarity with WebSockets, gRPC, and REST for device-to-device communication in a local network environment.Ideal Candidate ProfileThe "Builder" Mindset: You are energized by the prospect of building proofs-of-concept in days rather than months. You thrive in environments where speed and creativity are paramount.Problem Solver: You approach unsolved, messy engineering challenges with enthusiasm rather than trepidation.Architectural Vision: You see the "big picture" of how AI becomes part of the consumer's daily life, not just how the model generates text.Agile & Adaptable: You are comfortable working in a fast-paced environment where priorities shift based on the results of rapid experimentation.Education: Degree in Computer Science, Machine Learning or Artificial Intelligence Specialization preferred, but not required3 years of relevant industry experience requiredApplicant Notices & DisclaimersFor information on benefits, equal opportunity employment, and location-specific applicant notices, click hereAt SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position's starting pay is: $70.00/hr.