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As a woman-owned consulting firm supporting federal civilian and Department of Defense customers, we bring together talented professionals who are passionate about solving complex challenges and making a meaningful impact.
Provide engineering solutions to operationalize the latest GPU Computing products and software stacks, ensure technical relationships with internal and external engineering teams, and assisting systems, machine learning/deep learning engineers in building creative solutions…
Design, implement, and support large-scale storage clusters, ensuring scalability, high availability, and data integrity. Develop and maintain storage monitoring, logging, and alerting systems to ensure proactive detection and resolution of performance issues.
Drive end-to-end performance and scale characterization for the NVIDIA DGX Cloud software stack, from Kubernetes control and data planes through NVIDIA components such as GPU Operator, Network Operator, DCGM, NIM, and distributed inference serving, following issues from…
Serve as a trusted advisor who understands complex or large-scale customer workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes.
Support technical engagements with customers and partners, helping to understand their workloads and identify how NVIDIA’s technology stack can address their needs, under the mentorship of senior team members.
Lead data center product and facility builds, balancing cost, energy efficiency, schedule, and sustainability while integrating new technologies.
Define the architecture and multiyear technical roadmap, setting system boundaries, shared interfaces, and engineering standards across ingestion, processing, storage, and data serving. Balance immediate operational needs with long term reliability, maintainability, and cost.
Support technical engagements with customers and partners. helping to understand their workloads and identify how NVIDIA’s technology stack can address their needs, under the mentorship of senior team members.
Serve as a trusted advisor who understands complex or large-scale workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes.
Lead the comprehensive design, architecture, implementation, and optimization of complex cloud and WAN core network infrastructures.
Design and build scheduling for large GPU fleets on both Slurm and Kubernetes. That covers queueing, gang and topology-aware placement on rack-scale NVLink systems, preemption, reservations and backfill that reaches the end of very deep queues.
Developing and triaging platform drivers which goes into SOCs. Building sophisticated automation triage tools and, FW and OS-drivers issue packetizations. Supporting OS driver development, bring up and triaging of Platform and Multimedia drivers.
Lead the product vision and planning for Omniverse sensor simulation capabilities, including lidar, radar, time-of-flight, and others.
Design services and take ownership of underlying cloud infrastructure for physics informed and data driven scientific workflows.
Design and build platforms that automate the provisioning, configuration, operation, and lifecycle management of large-scale GPU and CPU compute infrastructure.
Collaborate with HW and SW engineering teams to define new features for distributed software storage systems. Craft and develop scalable, distributed, storage management system solutions written in Perl and Python.
Own the DriveOS documentation strategy and information architecture. Establish shared content standards, terminology, and organization across teams and product variants, and drive closure of gaps, duplication, and inconsistencies.
Build self-service SDKs, workflow templates, reference implementations, and a catalog of reusable agents, tools, and connectors. Prioritize automation by customer impact, frequency, operational risk, and encouraged reduction in human effort.
Design, build, deploy, and run internal tooling for large-scale AI training and inferencing platform built on top of cloud infrastructure. Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters.
Own GTM Strategy: Lead strategic go-to-market initiatives for NVIDIA's Enterprise AI Factory business, partnering across sales, industry business development, product, and marketing to identify growth opportunities, prioritize customer segments, and implement scalable…
Own the lifecycle of the Kubernetes clusters the platform runs on, including the control plane, node lifecycle, and fleet-wide upgrades. Own the bare-metal provisioning, storage, and networking underneath them too.
Build cloud-native data and storage services for hybrid and multi-cloud infrastructure, including dataset discovery, ingestion, governance, checkpointing, observability, and low-latency access.
Own Kubernetes clusters end-to-end - plan, deliver, upgrade, day-2 operations, and decommission - across on-prem datacenters and managed cloud Kubernetes (e.g. EKS, GKE, RKE, Red Hat OpenShift, etc.).
Port Hueneme, USA
Spain
Germany, Germany