Senior SW Engineer

🔥 0 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 15%

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NeuReality

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏭 Manufacturing

💼 Consulting

📦 Logistics

💰 Series A on 2024-03

Manufacturing • Consulting • Logistics

NeuReality is a Series A venture capital-backed AI startup that revolutionizes AI Inferencing in data centers worldwide. Founded by seasoned engineers, their AI-centric system architecture—from silicon to software—delivers 10x performance or 90% cost savings, making AI Inferencing faster, affordable, and energy-efficient. With over 60 employees across 3 countries, NeuReality launched its flagship NR1 AI Inference Solution in 2023. Their solutions empower Cloud Service Providers and Enterprise Customers in sectors such as financial services, healthcare, and life sciences to boost AI Inferencing performance for large-scale AI pipelines. NeuReality simplifies complex AI deployments, advancing the state of affordable and sustainable AI.

📋 Description

• Build and optimize high-performance Kubernetes-native GenAI inference systems • Work with modern inference stacks such as vLLM, SGLang, TensorRT-LLM, and related tooling • Work with Kubernetes-native distributed LLM inference frameworks such as llm-d and NVIDIA Dynamo • Design and implement optimization algorithms and performance improvements • Improve reliability, observability, deployment, and operational maturity of AI systems • Make architectural decisions and take ownership of technical outcomes • Collaborate with a small, senior engineering team focused on performance and production quality • Work across inference serving, distributed systems, optimization, and Kubernetes-native AI infrastructure

🎯 Requirements

• Minimum 5 years of experience as a Software Engineer, with strong software engineering and system design skills • Programming experience in Go and Python • Hands-on experience with the Kubernetes ecosystem, including Operators, service meshes, GitOps, Gateway API, and OpenTelemetry • Experience with cloud platforms • Strong understanding of optimization algorithms and performance engineering • Ability to independently drive technical initiatives from concept to production • Strong systems thinking and debugging skills • Comfort operating in environments with high autonomy and responsibility • Experience with modern LLM inference frameworks such as vLLM, SGLang, or TensorRT-LLM • Experience with distributed LLM inference frameworks such as llm-d or NVIDIA Dynamo • Contributions to open-source Kubernetes or ML infrastructure projects • GPU performance optimization and profiling experience • Familiarity with CUDA, NCCL, or Triton kernels • Experience running GenAI systems at scale in production

🏖️ Benefits

• No benefits, perks, or compensation extras are specified in the posting