CoreWeave logo
CoreWeave
Posted 144 days agoVerified live 2d ago

Software Engineer, Inference AI/ML

Brief overview

Sunnyvale, CAHybrid
UndergradOr in progress
$92k–$135k/yrStated range
42 H-1B approvalsDept. of Labor
PythonGoC++Linux fundamentalsGit/CI basicsContainersKubernetesGPU inference conceptsMicro-batchingKV cacheStreamingModel servingRequest batchingConcurrencyCachingGrafanaPrometheus

About the company

CoreWeave logo
CoreWeavecoreweave.com

CoreWeave is a cloud-based AI infrastructure company offering GPU cloud services to simplify AI and machine learning workloads.

Visa sponsorship history

4 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
42H-1B approved
100%approval rate
8new H-1B hires
$231,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20232
20246
202522
202612
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20232
20241
202519
202617
Top sponsored roles
Senior Business Systems EngineerStaff Software EngineerSENIOR NETWORK ENGINEERHPC Network EngineerSTAFF PRODUCT MANAGER, AI PERFORMANCE AND BENCHMARKING

Job description

Summary

CoreWeave is The Essential Cloud for AI™, delivering a platform that enables innovators to build and scale AI. The role involves joining the Inference team to implement features and improvements for model serving on the GPU platform, with a focus on latency, reliability, and cost.

Responsibilities

  • Implement well-scoped features and fixes in Python/Go/C++ for model-serving services (e.g., Triton, vLLM, TensorRT-LLM, Ray Serve)
  • Write tests, code comments, and short design docs; participate in code reviews
  • Add basic metrics and dashboards; assist with alarms and runbooks
  • Follow on-call runbooks and learn incident response in a guided rotation
  • Contribute to performance experiments (e.g., request batching, concurrency, caching) with guidance

Skills

  • BS/MS in CS, EE, or related field, or equivalent practical experience
  • Foundations in data structures, algorithms, and networked services
  • Experience with Python or Go (C++ a plus) and Linux fundamentals; Git/CI basics
  • Exposure to containers and Kubernetes (coursework or projects welcome)
  • Curiosity about GPU inference concepts (micro-batching, KV cache, streaming)
  • Internship or project that deployed a microservice or ML inference demo
  • Coursework/research with PyTorch or TensorFlow; simple CUDA projects a plus
  • Familiarity with Grafana/Prometheus/OpenTelemetry or similar tooling

Qualifications

Must Haves

  • BS/MS in CS, EE, or related field, or equivalent practical experience
  • Foundations in data structures, algorithms, and networked services
  • Experience with Python or Go (C++ a plus) and Linux fundamentals; Git/CI basics
  • Exposure to containers and Kubernetes (coursework or projects welcome)
  • Curiosity about GPU inference concepts (micro-batching, KV cache, streaming)

Nice to Haves

  • Internship or project that deployed a microservice or ML inference demo
  • Coursework/research with PyTorch or TensorFlow; simple CUDA projects a plus
  • Familiarity with Grafana/Prometheus/OpenTelemetry or similar tooling

Benefits

  • Discretionary bonus
  • Equity awards
  • Comprehensive benefits program (all based on eligibility)
  • Medical, dental, and vision insurance - 100% paid for by CoreWeave
  • Company-paid Life Insurance
  • Voluntary supplemental life insurance
  • Short and long-term disability insurance
  • Flexible Spending Account
  • Health Savings Account
  • Tuition Reimbursement
  • Ability to Participate in Employee Stock Purchase Program (ESPP)
  • Mental Wellness Benefits through Spring Health
  • Family-Forming support provided by Carrot
  • Paid Parental Leave
  • Flexible, full-service childcare support with Kinside
  • 401(k) with a generous employer match
  • Flexible PTO
  • Catered lunch each day in our office and data center locations
  • A casual work environment
  • A work culture focused on innovative disruption
  • Hybrid work environment
  • Remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets
  • New hires will be invited to attend onboarding at one of our hubs within their first month
  • Teams also gather quarterly to support collaboration

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