Sr Staff Engineer

About the role

Lattice Overview There is energy here…energy you can feel crackling at any of our international locations. It’s an energy generated by enthusiasm for our work, for our teams, for our results, and for our customers. Lattice is a worldwide community of engineers, designers, and manufacturing operations specialists in partnership with world-class sales, marketing, and support teams, who are developing programmable logic solutions that are changing the industry. Our focus is on R&D, product innovation, and customer service, and to that focus, we bring total commitment and a keenly sharp competitive personality. Energy feeds on energy. If you flourish in a fast paced, results-oriented environment, if you want to achieve individual success within a “team first” organization, and if you believe you can contribute and succeed in a demanding yet collegial atmosphere, then Lattice may well be just what you’re looking for.

Responsibilities

• Train, fine-tune, and evaluate machine learning models, including LLMs, using techniques such as supervised fine-tuning (SFT), LoRA/QLoRA, and RLHF.
• Optimize models for local inference through quantization, pruning, and distillation.
• Deploy models on-prem or at the edge using frameworks such as PyTorch, TensorRT, ONNX, vLLM, or llama.cpp.
• Build and maintain training and inference pipelines for reproducibility and scalability.
• Integrate locally deployed models into production systems via APIs and internal services.
• Monitor model performance, drift, latency, and resource utilization in production.
• Collaborate with software engineers, infrastructure teams, and domain experts to deliver end-to-end AI solutions.
• Ensure models meet security, privacy, and compliance requirements, especially in restricted or offline environments.
• Document model architectures, training procedures, and deployment workflows.

Qualifications

• Master’s or Ph.D. in computer science, Engineering, or a related field, or equivalent practical experience.
• 8+ years of experience in AI and machine learning, with at least 3 years of experience working on LLMs, code generation, large-scale neural networks, RAG, or AI-powered automation.