Sr. Software Engineer, Inference
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Job description
As a Senior Software Engineer, you will serve as an area owner responsible for leading technical designs, raising engineering standards, and delivering measurable improvements across multiple services. You will partner with product, orchestration, and hardware teams to evolve our Kubernetes-native inference platform while meeting strict P99 SLAs at scale. This role involves leading design reviews, decomposing multi-service work into clear milestones, and owning critical infrastructure areas such as request routing, adaptive scheduling, cost-per-token analytics, and GPU resource isolation. You will implement advanced optimizations-including micro-batch schedulers, speculative decoding, and KV-cache reuse-while evolving capacity planning, autoscaling policies, and mentoring engineers across the team.
Requirements
- 3+ years of professional industry experience building distributed systems or high-performance cloud services.
- Strong software development skills in Python or Go, alongside a deep familiarity with networked systems and performance optimization.
- Hands-on experience with Kubernetes at production scale, including automated CI/CD and modern observability stacks (Prometheus, Grafana, OpenTelemetry).
- Practical, working knowledge of inference internals: batching strategies, caching, mixed precision (BF16/FP8), and streaming token delivery.
- Proven track record of improving tail latency (P95/P99) and service reliability through metrics-driven engineering work.
- Experienced in defining and owning SLIs/SLOs, managing capacity planning, autoscaling policies, and driving post-incident remediation.
- Bachelor’s or Master’s degree in Computer Science or a related technical field (or equivalent practical experience).
Preferred:
- Experience with low-level systems and high-performance computing components (e.g., C++ development, CUDA kernels, NCCL/SHARP, RDMA/NUMA, or GPU interconnect topologies).
- Active open-source or production contributions to modern inference frameworks (such as vLLM, Triton, TensorRT-LLM, Ray Serve, or TorchServe).
- Experience leading multi-team technical initiatives or partnering directly with enterprise customers on mission-critical platform launches.
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 to own critical architectural spaces, breaking down complex multi-service engineering work into high-impact, achievable milestones.
- You’re curious about pioneering advanced model serving optimizations to maximize platform throughput and drive cost-per-token efficiencies.
- You’re an expert in metrics-driven engineering, systematically troubleshooting tail latency bottlenecks, and elevating coding and testing standards across a team.
Benefits & conditions
Pulled from the full job description
- Employee assistance programme
- Company pension, At CoreWeave, 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 organisation’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 base salary range for this role is 321,000 PLN to 428,000 PLN gross annually. 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).
To fulfill our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results
What We Offer
In addition to a competitive salary, we offer a variety of benefits to support your needs, including:
- Family-level Medical Insurance
- Family-level Dental Insurance
- Generous Pension Contribution
- Life Assurance at 4x Salary
- Critical Illness Cover
- Employee Assistance Programme
- Tuition Reimbursement
- Work culture focused on innovative disruption
About the company
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. Learn more at www.coreweave.com., CoreWeave’s Inference team builds and operates the core cloud platform powering massive-scale GPU workloads for generative AI and real-time inference applications. Our stack is engineered natively on Kubernetes for maximum speed, scale, and cost efficiency-providing an industry-defining platform that enables teams to deploy models with confidence. We work cross-functionally across organizational boundaries to deliver high-performance, low-latency infrastructure at scale.
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