Software Engineer, Inference

Core Weave is The Essential Cloud for AI™. Built for pioneers by pioneers, Core Weave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, Core Weave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, Core Weave became a publicly traded company (Nasdaq: CRWV) in March 2025.

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The Inference team builds and operates Core Weave’s Kubernetes-native inference platform, powering low-latency, high-throughput AI workloads at massive scale. The team is responsible for request routing, scheduling, GPU resource management, and system-wide optimizations that drive performance, efficiency, and reliability across real-time inference systems.

As a Staff Software Engineer (IC5) on the Inference team, you will act as a technical leader driving architecture, performance, and reliability across multiple services and teams. Your day-to-day will involve leading cross-team design initiatives, optimizing inference performance (latency, throughput, and GPU utilization), and improving system reliability  will work deeply in distributed systems and Kubernetes-based infrastructure, focusing on areas like scheduling, batching, and memory optimization.

This role requires hands‑on technical leadership and the ability to influence engineering direction across the organization.

• 8–12+ years of experience building and operating large-scale distributed systems or cloud platforms
• Proven experience leading cross-team technical initiatives impacting multiple services or organizations
• Strong programming skills in Go, Python, or C++
• Deep expertise in Kubernetes at production scale, including orchestration, scheduling, and service design
• Strong understanding of distributed systems, networking, and performance optimization
• Experience designing and operating low-latency, high-throughput systems with strict P95/P99 latency requirements
• Hands‑on experience with inference systems, including batching or micro‑batching strategies, caching, and memory optimization
• Experience improving system performance using metrics-driven approaches (e.g., latency, throughput, utilization)
• Familiarity with mixed precision (BF16, FP8) and streaming inference workloads

• Experience with inference frameworks such as vLLM, Triton, Tensor
  
  RT-LLM, Ray Serve, or Torch Serve
• Experience with GPU systems and performance optimization (CUDA, NCCL, RDMA, NUMA, GPU interconnects)
• Experience leading multi-team or org-level technical initiatives
• Exposure to large-scale AI/ML infrastructure or hyperscale cloud environments

• You love to design and optimize high-performance distributed systems at scale
• You’re curious about AI inference, GPU systems, and emerging performance techniques
• You’re an expert in building reliable, low‑latency infrastructure and driving system-wide improvements

At Core Weave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper‑growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best‑in‑Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization’s growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too.

Come join us!

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of…