Join CoreWeave as a GPU Performance Software Engineer to enhance cloud infrastructure and performance testing for AI applications.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Implement solutions for testing and validation of infrastructure
- Develop performance tests and automation workflows
- Troubleshoot Kubernetes custom controllers
- Adapt open source tooling for system metrics
- Participate in on-call rotation
Must have
- Competency in Go and/or Python
- Hands-on experience with Kubernetes at production scale
Nice to have
- Experience building backend services
- Experience testing hardware at scale
- HPC Experience
- Experience with AI/ML infrastructure
Practical constraints
- Participate in on-call rotation
Requirements
- Experience
- 2–5 years
Not disclosed in this posting: work arrangement, visa sponsorship.
Benefits
Joblaze summary
In this role, the GPU Performance Software Engineer focuses on enhancing the efficiency and reliability of CoreWeave's cloud infrastructure through the development and maintenance of performance testing solutions. Key skills include proficiency in Go or Python, along with hands-on experience with Kubernetes in a production environment. This position is ideal for mid-level engineers with a background in software development and an interest in hardware validation at scale. CoreWeave's fast-paced environment encourages innovation and collaboration among its team members.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 27, 2026. Last confirmed on Coreweave's careers page November 10, 2026.
- Salary band is below the typical range for AI/ML roles (median ~$189,308).
- Starts above 7% of 114 comparable mid ai/ml roles in United States that list Python we track (median $150,000 across 52 companies). See Python salary trends
- Python appears in 49.2% of 472 comparable mid ai/ml roles in United States; Kubernetes appears in 12.7% of 472 comparable mid ai/ml roles in United States.
Quick facts
- What's the salary range?
- Coreweave lists $120,000–$160,000 for this role.
- How much experience is required?
- 2–5 years of relevant experience for this Software Engineer, Inference role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Go, Kubernetes, Python.
- What seniority level is this role?
- Coreweave targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer, Inference role at Coreweave.
From the original posting
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).
Standard company text repeated across Coreweave's postings is omitted here.