Software Engineer, Inference

About CoreWeave

CoreWeave is an AI cloud built for high-performance GPU workloads across AI/ML, VFX, rendering, and real-time inference. Our stack is engineered for speed, scale, and cost efficiency—providing a powerful alternative to traditional hyperscalers. Infrastructure is our product, and we operate it at a massive scale to power the most demanding workloads.

About the role

As a Junior Software Engineer (IC1/IC2) on the Inference team, you’ll own a single production service end-to-end shipping features, maintaining dashboards/alarms, and improving operational excellence. You’ll collaborate with peers across runtime, scheduling, and networking to move key SLIs.

What you’ll do

• Own one model-serving service end-to-end: design, implementation, tests, deployment, and ops.
• Add and tune observability (dashboards, alerts, traces); automate runbook steps to reduce toil.
• Improve latency/throughput via micro-batching, concurrency tuning, and caching.
• Participate in on-call; lead post-incident action items for your service.
• Review peers’ PRs and contribute design feedback in team reviews.

What we’re looking for

• 0–3 years of software engineering experience (or equivalent) building cloud/distributed services in production.
• Proficiency in Python or Go; familiarity with gRPC/HTTP APIs and containerized deployments.
• Working knowledge of Kubernetes (or Slurm/Ray) and CI/CD pipelines.
• Experience with metrics/alerting (Prometheus/Grafana/OpenTelemetry) and structured logging.
• Basic understanding of GPU inference concepts (KV caching, mixed precision, streaming tokens).

Nice to have

• Experience with inference frameworks (Triton, vLLM, TensorRT-LLM, Ray Serve, TorchServe).
• Hands-on performance profiling/benchmarking (e.g., wrk, vegeta, perf, Nsight).
• Contributions to reliability practices: SLI/SLOs or postmortem improvements.

Why CoreWeave

Help shape an industry-defining inference platform that enables teams to deploy generative AI and real-time applications at scale. If optimizing tail latency and delivering reliable model serving excites you, this is the place to build.

Benefits (highlights)

• 100% employer-paid medical, dental, and vision
• 401(k) with a generous match
• Flexible PTO and a remote-friendly culture
• Work with top talent in a culture of curiosity, ownership, and innovation

The base salary range for this role is $120,000.00 - $160,000.00. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

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 factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include:

California Applicants

California Consumer Privacy Act

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency.