The company is looking to accelerate embedded electronic system design by developing AI workflows and innovative agents, compressing lead times and helping companies create innovative products faster.
Requirements
- Strong Python skills in AI/ML development (eg. Pytorch, tensorflow, NLP, scikit-learn)
- Deep experience using generative AI models (Llama, Claude, ChatGPT, Gemini, Deepseek, Mistral), tools (langchain, LlamaIndex, Haystack, Auto-GPT) and supporting infrastructure (Azure, AWS, Hugging Face, or local hosting on GPUs (NVIDIA))
- Experience with LLM model selection, fine-tuning, RAG, tool-use, MCP servers, AI workflows, AI agents, and prompt optimization.
- Proficiency with vLLM, TensorRT-LLM, OpenLLM, Llama.cpp or related optimizations for accelerating LLM inference.
- Strong understanding of RESTful APIs, GraphQL, WebSockets, and databases (SQL/Postgres)
- Experience with version control (Git), CI/CD pipelines, and containerized environments (Docker, Kubernetes)
- Understanding of CAD/CAE tools used in fields such as electrical engineering design and ESD (preferred)
Responsibilities
- Create new AI workflows, agents, frameworks, memory systems, and tool integrations to assist engineers with embedded systems design tasks.
- Define and configure LLM model infrastructure; select, curate, and update models to maintain innovative performance in secure environment where protection of IP and customer data is paramount.
- Create software for AI backend tools that interface to customer application infrastructure and data systems; develop APIs to AI models and data sources.
- Work with internal collaborators and ESD domain authorities to understand system requirements and automate targeted design processes.
- See opportunities for creating custom fine-tuned LLM models for specific domain knowledge in embedded systems; work with collaborators to collect, curate, and generate training data, including generating synthetic data; train and deploy custom models for ESD tasks.
- Specify and lead high performance computing resources including on-site GPU servers for hosting LLMs, agents, and customer data.
- Ensure timely and successful delivery of high-quality, scalable code solutions.
Other
- Bachelor’s degree or equivalent experience in computer science, software engineering, or a related field
- Strong ability to collaborate in agile development environments with front-end engineers, full-stack engineers, IT-support, and domain authorities in ESD across a variety of platforms (IoT, microcontrollers, FPGA, GPU)
- Entrepreneurial approach, with a passion for innovation, customer success, and driving growth in a rapidly evolving market
- Prior experience in a manufacturing, design automation, or industrial software environment (preferred)
- Location: Rochester, NY
