AI Systems Benchmarking & Product Engineer
Role details
Job location
Tech stack
Job description
Kforce is immediately adding a full-time AI Systems Benchmarking & Product Engineer in support of our nationally recognized, Consumer and Commercial Electronic R&D client in Fort Collins CO. Summary: Our client is seeking a contractor to support AI performance benchmarking and product marketing initiatives for advanced AI workstation platforms. This role is ideal for a detail-oriented contributor who can execute benchmark tests, organize performance data, and translate validated results into product marketing and sales enablement content. Working closely with AI engineering, product, and go-to-market teams, the individual will assist with benchmarking activities, evidence packaging, demo readiness, and marketing support. Responsibilities include executing predefined AI benchmark workflows, capturing system performance metrics, maintaining experiment documentation, and identifying anomalies for technical review. The role will create evidence packs, charts, reports, and comparison summaries that help technical and business teams understand performance outcomes. Additional responsibilities include supporting AI demos, documenting proof-of-concept activities, maintaining runbooks and asset trackers, and contributing to sales collateral, demo scripts, competitive positioning, FAQ content, and enablement materials. Success requires the ability to communicate complex AI concepts clearly while ensuring all performance claims are supported by validated data and approved through established review processes.
Requirements
- Exposure to PyTorch, TensorFlow, ONNX Runtime, Hugging Face, Ollama, vLLM, TensorRT-LLM, or similar AI tooling
- Familiarity with GPU/CPU concepts, Windows and Linux environments, Docker, Git, and repeatable experiment practices
- Career experience or coursework in computer science, data science, engineering, product marketing, technical marketing, business analytics, or a related field
- Strong curiosity about Agentic AI, workstations, GPUs, local inference, GenAI workflows, and how technical performance becomes customer value
- Ability to follow technical runbooks carefully, document results with discipline, and ask good questions when results do not make sense
- Working knowledge of Python, command-line tools, spreadsheets, and basic data visualization
- Clear written communication skills with the ability to convert technical notes into concise business-facing content
- High ownership, integrity with data, attention to detail, and comfort operating in an ambiguous emerging category
- Experience creating marketing materials, launch briefs, enablement decks, technical blogs, demos, or sales collateral
- Basic understanding of LLM inference, RAG, fine-tuning, quantization, prompt workflows, model serving, or multimodal AI applications
- Experience working with cross-functional teams across engineering, product, marketing, and sales
Benefits & conditions
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.