Lead complex Generative AI initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
Engineer GPUs clusters and node pools; configure NVLink/NVSwitch, NVIDIA GPU Operator, MIG profiles, container runtime, and kernel/driver baselines for high‑throughput LLM/SLM workloads.

Requirements

4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
1+ years of experience with GPU Inference including NVIDIA CUDA, cuDNN, NVLink/NVSwitch, MIG, NIXL, GPU profiling, and performance tuning on H100/H200 architectures
1+ years of experience with GPU orchestration platforms, such as RunAI (collections, queues, quotas, preemption, fair-share scheduling), OpenShift AI (RHOAI), and cluster administration on OCP or GKE
1+ years of experience with LLM/SLM serving frameworks, including vLLM, Triton, TensorRT‑LLM/MII, KV‑cache optimization strategies, and FP8/INT4 quantization techniques (AWQ/GPTQ)
1+ years of experience working with LLM API gateways, including OAuth2/mTLS authentication, rate‑limiting and quota management, OpenAPI/SDK integration, SLAs, and versioning/deprecation practices
2+ years of experience in Generative AI engineering, including LLM/SLM operations, fine‑tuning, evaluation pipelines, and developing model‑specific performance optimization recipes
4+ years of experience in Python, including scripting, automation, and model/inference‑related development

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Software EngineeringGPU InferenceNVIDIA CUDAcuDNNNVLinkNVSwitchMIGGPU profilingperformance tuningPython

Soft Skills

leadershipcollaborationproblem-solvingcommunicationguidanceteam management