Top Tech Jobs & Startup Jobs in Boston, MA

Leads NVIDIA’s Infrastructure Security Engineering organization for EDA clusters. Builds and operates security controls across compute, storage, and networking in on-premises and multi-cloud environments while preserving performance for long-running workloads. Owns the technical roadmap, security technology lifecycle, automation, instrumentation, compliance evidence, and cross-functional execution. Develops secure-by-default infrastructure and leads teams responsible for scalable enforcement, observability, mitigation, and security outcomes.

Own and evolve Kubernetes networking for GPU superclusters spanning multiple clouds and thousands of nodes. Design and operate CNI data planes, overlay meshes, VPNs, gateways, load balancers, and tunnels. Identify scale limitations, build network validation environments, diagnose distributed networking failures, and partner with cloud providers on topology. Provide technical leadership while using strong Linux networking, systems programming, and large-scale debugging expertise.

Leads a globally distributed customer engineering organization supporting internal EDA infrastructure while overseeing a Kubernetes platform team. Responsibilities include developing managers, improving support operations, defining SLOs, translating support trends into engineering roadmaps, automating recurring operational work, and advancing AI/LLM-based support assistants. The role requires hands-on technical engagement with Kubernetes, EDA job schedulers, internal LLM infrastructure, and production environments.

Develop and maintain scalable build, regression, and release infrastructure for chip designers. Build user-facing services for scheduling, tracking, and triaging workflows, plus tools for collecting, analyzing, monitoring, and visualizing system metrics. Apply modern CI/CD practices, maintain reliable production-quality code, and support distributed computing, build systems, and software performance analysis.

Supports and root-causes complex customer issues involving NVIDIA networking and AI cluster technologies. Develops bug fixes, workarounds, diagnostic tools, and performance-tuning recommendations in collaboration with R&D and support teams. Works with InfiniBand, NVLink, Spectrum-X, and high-performance lossless networks, analyzing logs, traces, metrics, and source code. Provides customer support and may work occasional weekends or holidays.

Lead research, architecture, and production development of hardware formal verification tools enhanced by agentic AI. Build formal verification algorithms, multi-agent systems, solver orchestration, RTL analysis, automated SystemVerilog Assertion generation, and high-performance C/C++ implementations for commercial EDA suites. The role requires deep expertise in formal methods, hardware verification, AI frameworks, RTL languages, and 15+ years developing advanced EDA tools.

Develop platform software for SOCs, including drivers, BSP, CI/CD automation, OS and multimedia driver bring-up, debugging, and system-level triage. Collaborate with OEMs and global engineering teams across the full product lifecycle from pre-silicon modeling through production. Contribute to architecture definition, boot, security, reliability, resiliency, and embedded-system software for Windows and Linux platforms.

Architect and maintain profiling frameworks for CPU and GPU environments, benchmark EDA applications, analyze memory and kernel performance, identify bottlenecks, optimize memory usage, and develop predictive models for hardware procurement and cloud instance selection.

Perform RTL-to-gate synthesis and QoR convergence for complex digital blocks, optimize synthesis strategies and constraints, analyze and resolve QoR regressions, support physical implementation from floorplanning through timing closure, and automate setup, execution, reporting, and issue triage across teams.

Design, deploy, maintain, tune, and secure enterprise Linux environments supporting high-performance EDA compute farms. Lead infrastructure-as-code automation, configuration management, continuous deployment, and tooling development using Python, Bash, or Go. Manage LDAP/SSSD naming services, NFS and Autofs storage, virtualization, container infrastructure, registries, networking, and infrastructure telemetry. Support highly available, scalable systems and potentially integrate cloud platforms, CI/CD pipelines, EDA toolchains, and HPC clusters.