Top Tech Jobs & Startup Jobs in Austin, TX

Architect and deliver high-scale NVIDIA GPU compute environments for enterprise AI workloads. Lead bare-metal provisioning, cluster management, operating-system hardening, scheduler and workload configuration, monitoring, performance validation, and day-two operations. Serve as a customer-facing technical authority, supporting presales discovery, architecture, bills of materials, estimation, and client workshops. Design repeatable AI infrastructure across DGX, HGX, MGX, NVL72, and Cisco AI POD platforms.

Architects and delivers high-performance AI networking fabrics using NVIDIA InfiniBand and Spectrum-X Ethernet. Designs lossless, automated, scalable network infrastructure for DGX and AI cloud environments; configures routing, QoS, RoCEv2, SHARP, telemetry, and DPU offload. Owns cabling, link validation, performance testing, infrastructure-as-code, and day-two operations. Provides technical leadership in client workshops, presales scoping, bills of materials, cost estimation, and integration with enterprise networks.

Performs security assessments, vulnerability identification, threat mitigation, security architecture, and implementation of information assurance systems for a DoD Zero Trust program. The role designs and integrates security controls across network, computing, and enclave environments; supports risk management, certification, compliance, and security planning; and assists with installation, migration, and configuration activities across multiple client locations.

Leads the design, implementation, integration, and operation of enterprise Zero Trust security solutions for a DoD client. Evaluates technologies, aligns architectures with DoD requirements, secures networks and systems, integrates cybersecurity monitoring and response tools, researches security improvements, and briefs client leadership. The role supports installation, migration, and configuration activities across multiple locations and requires extensive collaboration with network and hardware teams.

Evaluate and develop compute technologies for an advanced technology lab. Design and build compute environments for sandboxes, proofs of concept, and lab-as-a-service engagements. Create architectural diagrams, access guides, test plans, use cases, and technical designs. Collaborate with customers, sales, partners, and internal teams; support business development and marketing initiatives; maintain OEM partnerships; and achieve certifications required for partner status.

Lead client-facing FinOps engagements from discovery through realization, including cloud cost assessments, tooling implementation, allocation models, optimization, governance, and technical remediation. Advise executive stakeholders, architect solutions across AWS, Azure, or GCP, and support presales proposals. Develop reusable delivery frameworks, playbooks, SOWs, pricing models, and scalable offerings, including emerging AI infrastructure cost-management practices.

Leads development and operation of a secure, multi-tenant as-a-Service automation platform using ServiceNow. Defines requirements, guides developers, manages the platform lifecycle, integrates monitoring and incident-management tools, automates ordering, billing, and asset processes, maintains configurations and security, develops metrics and documentation, leads demonstrations, and coordinates with customers, service providers, and internal technical, financial, and program teams.

Leads customer engagements involving infrastructure automation, observability, agentic AI, and AI-enabled operations. Designs architectures, translates business needs into technical strategies, leads hands-on implementation, develops reusable automation patterns, communicates solutions to executives and engineering teams, mentors engineers, and advances consulting practice capabilities. Work includes observability pipelines, infrastructure-as-code, orchestration, testing, cloud and on-premises validation, AI agent integration, governance, and operational workflows.

Leads the architecture, design, integration, deployment, and operation of large-scale Zero Trust security solutions for DoD environments. Creates system blueprints, selects technologies, integrates distributed systems across on-premises, cloud, and hybrid environments, optimizes performance, resolves system issues, and ensures compliance with DoD requirements. Leads engineering teams, supports installation and migration at multiple locations, and documents architecture and implementation decisions.

Lead AI product vision and roadmap to deploy enterprise copilots, workflow agents, and automation. Identify and prioritize use cases, run POCs, scale solutions, measure adoption and ROI, ensure governance and security, and drive cross-functional delivery with PMO, engineering, and business stakeholders.