Remote Software engineering Jobs · GPU Optimization

• Architect and build large-scale ML systems spanning data, training, evaluation, inference, and deployment.
• Implement evaluation pipelines covering performance, robustness, safety, and bias.
• Own production deployment including GPU optimization, memory efficiency, latency reduction, and scaling policies.

• Own end-to-end ML system execution including data pipelines, training workflows, evaluation systems, inference architecture, and deployment.
• Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.
• Architect scalable inference systems, balance latency, cost, and reliability, and deploy production-grade ML solutions.

Gina's Tech Jobs is a recruiting and staffing company that helps firms hire technical talent. They are a small agency focused on IT roles, fostering a high-trust, collaborative environment.

• Build and operate production-grade model serving infrastructure using vLLM, TGI, or Triton frameworks.
• Design and implement auto-scaling, multi-model architectures, and intelligent request routing for ML inference.
• Optimize GPU utilization, memory efficiency, and observability to ensure low-latency, cost-effective systems.

They are a distributed cloud infrastructure startup building AI-native cloud services with GPU-powered compute. The company is well-funded, fast-scaling, and operates in a remote-first environment with a focus on sustainability and decentralization.