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Applied AI Engineer, Inference
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CoreWeave·Bellevue, WA/ San Francisco, CA/ Sunnyvale, CA·16 мар.

Applied AI Engineer, Inference

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Наша компания

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave 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, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.

О роли

We are looking for an Applied AI Engineer to help us understand, measure, and improve the real-world performance of our inference platform. In the near term, this role will focus on building and running rigorous benchmarks, profiling model and system behavior, identifying bottlenecks, and driving targeted optimizations for both platform-wide and customer-specific workloads. This role is intentionally scoped around applied performance work in support of the Inference organization. Initial responsibilities center on benchmarking, optimization, and workload-driven research rather than broad ownership of frontier model research agendas. Over time, the scope of the role is expected to broaden as the team and product mature

Чем предстоит заниматься

Build and maintain benchmarking workflows that measure latency, throughput, quality regressions, and cost across priority models and serving configurations
Benchmark our inference stack against realistic customer workloads and external provider baselines to identify performance gaps and improvement opportunities
Profile model-serving behavior across frameworks, runtimes, and hardware configurations to find bottlenecks in prefill, decode, KV cache usage, batching, graph capture, quantization, and related systems
Drive targeted optimization efforts for specific customer and product workloads, including tuning serving configurations, evaluating runtime features, and validating changes against representative traces and benchmarks
Design and run experiments on model-serving techniques such as quantization, speculative decoding, caching strategies, routing, and other inference optimizations, with careful attention to quality and correctness tradeoffs
Partner closely with inference platform engineers to productionize improvements and establish repeatable workflows for performance testing and regression detection
Produce clear technical writeups and recommendations that help the team make better decisions about model configurations, runtime choices, hardware allocation, and customer-specific deployment strategies
Contribute additional applied research over time as needed to support inference quality, optimization, and product performance goals

Наши требования

4+ years of experience in machine learning, systems, performance engineering, or adjacent applied engineering work
Strong programming skills in Python and comfort working in production engineering environments
Experience running empirical evaluations, benchmarks, or experiments and translating results into concrete engineering decisions
Familiarity with LLM inference systems and tools such as vLLM, SGLang, TensorRT-LLM, or similar model-serving stacks
Understanding of the practical tradeoffs involved in latency, throughput, batching, GPU utilization, quantization, and quality regression analysis
Ability to work across model, systems, and product boundaries and stay focused on outcomes that matter for customers
Strong written communication and a bias toward making technical work legible and reproducible for others
Experience optimizing inference workloads on modern GPU hardware
Experience with profiling tools such as Nsight Systems, PyTorch profilers, or custom telemetry pipelines
Familiarity with benchmark suites and evaluation frameworks for coding, reasoning, or agent workloads
Experience using real production traces or customer traffic patterns to guide optimization work
Experience balancing model quality and serving performance when evaluating quantization, speculative decoding, or other acceleration strategies
Wondering If You're A Good Fit?
We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk
You love turning ambiguous performance problems into concrete measurements and engineering plans
You’re curious about how model behavior, systems architecture, and hardware choices interact in production inference workloads
You’re an expert in running disciplined experiments and using data to drive practical performance improvements
Why Us?
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 provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization 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!

Мы предлагаем

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
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
California Applicants
California Consumer Privacy Act

Дополнительно

The Inference team is responsible for delivering high-performance model serving capabilities that meet the needs of real production workloads. We work at the intersection of model behavior, serving systems, hardware, and customer requirements to improve throughput, latency, reliability, and quality across our inference stack
The base salary range for this role is $188,000 to $275,000. 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)
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
C
CoreWeave
Bellevue, WA/ San Francisco, CA/ Sunnyvale, CA

ГрейдMiddle
ЗанятостьПолная занятость
РегионНе Россия
ФорматОфис
ИсточникСкрыто
Опубликовано16 мар.
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