Top Engineering Jobs in New York City, NY

Design and review data center white space infrastructure for high-density computing environments. Coordinate electrical, mechanical, cooling, low-voltage, cabling, and network pathway systems; review drawings, submittals, RFIs, and field conditions; oversee consultants; resolve design and constructability issues; and support construction, commissioning, and deployment. Contribute to design standards, scalability, technical documentation, and mentorship across CoreWeave’s data center portfolio.

Leads systems engineering teams developing high-throughput file, block, and object storage for AI cloud infrastructure. Drives architecture, performance tuning, latency optimization, benchmarking, and 10x scaling across distributed storage systems. Provides technical mentorship, performance management, recruitment, and cross-functional leadership while maintaining a coding-focused culture and maximizing GPU utilization.

Lead and develop an infrastructure engineering team responsible for internal Kubernetes platforms and foundational services. Set roadmaps, ownership, operating practices, and success metrics; guide reliable infrastructure and automation; establish testing, observability, SLO, incident response, change management, and on-call practices; resolve cross-team dependencies; and manage hiring, coaching, performance, priorities, and risk communication.

Design, develop, and maintain network datapath monitoring and observability infrastructure for GPU cloud services. Build real-time network telemetry and analytics pipelines across host networking, smart NICs, and overlay/underlay networks. Collaborate with DevOps, production, and data platform teams; troubleshoot Kubernetes and cloud networking issues; participate in on-call support, code reviews, architecture decisions, and continuous infrastructure improvements.

Design, build, and operate secure sandboxed runtime environments for Kubernetes and GPU-accelerated workloads. Develop GPU-aware scheduling, isolation, and resource management strategies; optimize container, VM, I/O, and GPU performance; conduct profiling and benchmarking; and contribute to Linux, container runtime, virtualization, and GPU driver architecture. Collaborate with security, platform, and infrastructure teams to establish runtime isolation and performance standards for multi-tenant systems.

Own and evolve a Kubernetes-native test framework that qualifies host images on real hardware. Build test harnesses, extend coverage into HPC, Slurm-on-Kubernetes and firmware/hardware, keep CI fast and reliable at fleet scale, and own results, reporting, and triage. Collaborate with kernel, firmware, imaging, and HPC teams and explore LLM-driven log triage and failure classification.

Leads a full-stack Fleet Engineering team building Go and React/TypeScript tools for hardware ticketing, technician repairs, and fleet inventory workflows. Owns hiring, team development, product delivery, release cadence, reliability, observability, incident response, architecture, and cross-team APIs. Partners with operations stakeholders to improve data center hardware lifecycle management and fleet efficiency.

Design and implement scalable, fault-tolerant Kubernetes control-plane components. Develop Helm charts, custom controllers and CRDs, build deployment automation, monitoring, dashboards, and participate in on-call operations to ensure platform reliability and operability.

Develop and maintain firmware for embedded systems, collaborate with teams, troubleshoot issues, optimize performance, and mentor junior engineers.

As a Solutions Architect, engage with customers to architect cloud solutions, optimize workloads, and provide technical leadership while collaborating with engineering teams.