Source Job

  • Lead deployment and configuration of x86 servers, Linux, virtualization, and core infrastructure services for AI clusters.
  • Optimize high-performance storage platforms like WEKA and VAST, and validate performance, resilience, and integration.
  • Provide Tier 3 escalation and automate provisioning, identity, and infrastructure-as-code using Ansible, Terraform, and Python.

Linux Virtualization Identity Management

20 jobs similar to Principal AI Systems Engineer

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  • Lead technical bring-up of large-scale GPU clusters from physical installation to validated production readiness.
  • Execute NVIDIA diagnostics, NCCL performance tests, and acceptance criteria for commercial service.
  • Serve as Tier 3 escalation point for complex production incidents and drive root cause analysis.

Highrise AI is a GPU-native infrastructure platform providing scalable compute for AI workloads across dedicated clusters and managed cloud. As a subsidiary of Hut 8 Corp, it combines disciplined operations, automation, and on-site engineering to sustain high uptime and predictable performance.

  • Own and manage Tier 2 incidents and tickets for large-scale GPU compute and storage platforms.
  • Troubleshoot Linux servers, GPU systems, storage services, and Kubernetes/Slurm node failures.
  • Collaborate with NOC, SRE, and on-site technicians to restore service and improve runbooks.

Highrise AI is a GPU-native infrastructure platform built for modern AI workloads, providing scalable GPU compute across dedicated clusters, managed cloud, and confidential environments. As a subsidiary of Hut 8 Corp., it combines disciplined operations, advanced automation, and on-site engineering expertise to sustain high uptime and predictable performance.

Europe

  • Own the technical relationship and be the trusted advisor for CTOs and platform teams.
  • Architect real solutions that translate customer constraints into deployable AI infrastructure.
  • Lead proofs of concept under real conditions to demonstrate operational fit.

Mirantis is a Kubernetes-native AI infrastructure company that helps organizations build scalable and secure infrastructure for modern AI workloads. The company has an installed base of 1,500 enterprise customers and values open source innovation, collaboration, and continuous growth.

India

  • Drive end-to-end quality engineering for enterprise storage platforms in a hybrid cloud environment.
  • Design scalable Python automation frameworks and apply AI/ML to solve complex quality challenges.
  • Collaborate across engineering teams to troubleshoot system issues and improve reliability.

Our partner specializes in enterprise storage systems and hybrid cloud infrastructure. They foster an inclusive, collaborative culture that emphasizes continuous learning, mentoring, and innovation.

Europe

  • Own network solutioning for k0rdent AI, designing GPU cluster interconnects and multi-tenant isolation.
  • Publish reference architectures and run proofs of concept on real hardware with customers.
  • Research emerging AI networking technologies and help shape the product roadmap.

Mirantis is a Kubernetes-native AI infrastructure company helping organizations build and operate scalable, secure infrastructure for modern AI workloads. It is committed to open standards, technical excellence, and a distributed, collaborative team culture.

$135,000–$150,000/yr
US

  • Operate, scale, and troubleshoot Bitsight's SaaS cloud infrastructure with focus on reliability, efficiency, and security.
  • Tackle complex system-level designs and proactively anticipate performance and scalability issues.
  • Pioneer self-optimizing infrastructure systems using AI, ensuring manual and staging validation before production deployment.

Bitsight is a cyber risk management leader transforming how companies manage exposure, performance, and risk. Over 3,500 customers and 600 teammates work across Boston, Raleigh, New York, Lisbon, Singapore, and remote locations.

US

  • Own end-to-end deployment of Tines' platform within complex enterprise environments.
  • Drive adoption across the organisation by training and supporting stakeholders at all levels.
  • Identify and develop new use cases to expand value of the platform.

Tines is the intelligent workflow company that powers some of the world's most important workflows. They are driven by values of Simplicity, Speed, and Soundness and foster a culture of curiosity, growth, and integrity.

$97,200–$113,400/yr
Global

  • Lead end-to-end technical deployments for GPU neocloud and AI Factory customers.
  • Configure and troubleshoot bare metal GPU infrastructure including CNI, GPU Operator, and storage.
  • Build playbooks and transfer knowledge to customer teams for self-sufficiency.

vCluster Labs provides a platform for AI infrastructure, helping GPU cloud providers and enterprises build Kubernetes-based clusters. They are a venture-backed startup with 40+ engineers and a remote-first culture, powering over 100,000 GPUs.

US

  • Design and build autonomous AI agents using modern agentic frameworks to analyze infrastructure and make intelligent decisions.
  • Develop and deploy ML models and MLOps pipelines that learn from infrastructure patterns to optimize resource policies and scaling.
  • Own AI systems end-to-end, from architecture to production, ensuring performance, reliability, and cost-effectiveness.

ScaleOps is redefining autonomous cloud and AI infrastructure by freeing DevOps teams from manual resource management, reducing cloud costs by up to 80%. Backed by over $210M from leading VCs, the company is trusted by Fortune 100 companies and fosters an innovative, mission-driven culture.

$200,000–$300,000/yr
US

  • Plan, configure, test, and roll out deployments across customer VPC and on-premises environments.
  • Partner with customer IT, security, and platform teams to resolve infrastructure issues.
  • Build monitoring, telemetry, and automation for scalable processes.

Global

  • Own and harden the traditional infrastructure layer, including servers, virtualization, firewalls, and operating systems for a carrier-grade network.
  • Design and maintain production Linux systems, virtualized infrastructure (VMware, KVM, Hyper-V), and security perimeters at real scale.
  • Operate across cloud-native and traditional stacks, with working knowledge of at least one hyperscaler and Kubernetes exposure.

Share is a venture-backed company building the marketplace for bandwidth, connecting internet capacity suppliers to businesses globally. The company is a mission-driven, investor-backed team with a high-ownership environment and a steep learning curve.

US

  • Own the most challenging customer technical problems with deep-dive troubleshooting and analysis.
  • Act as the customer's advocate to ensure their issues influence product and engineering roadmaps.
  • Author technical content and lead internal tooling development with a strong AI focus.

Wiz provides an AI-powered cloud and application security platform that connects code, cloud, and runtime. Trusted by over 65% of the Fortune 100, the company values world-class talent and fosters a creative, high-impact culture.

  • Architect AI infrastructure including backend services, data pipelines, and orchestration workflows for LLMs.
  • Write production-grade, high-performance code for high-throughput AI workflows and data-driven systems.
  • Integrate foundational models, vector data stores, and cloud microservices into scalable platform components.

Korza builds AI infrastructure and products, specializing in LLM and agent-based systems. The company emphasizes cross-functional collaboration and rapid shipping of cutting-edge AI capabilities.

UK Unlimited PTO

  • Collaborate with sales to engage clients and architect tailored AI security solutions.
  • Conduct product demonstrations, PoCs, and technical presentations to prospective clients.
  • Provide pre- and post-sales support, training, and enablement to clients and internal teams.

HiddenLayer protects the world's most valuable technologies from adversarial AI attacks. The company is a fully remote, fast-growing startup backed by $100M in Series B funding, with a global team and a strong focus on innovation and culture.

  • Architect and automate scalable cloud environments across AWS and Azure using Terraform, Ansible, Helm, and CDK.
  • Serve as Linux subject matter expert, managing system builds, core services, and performance from kernel up.
  • Lead CI/CD pipelines, observability, security, and incident response to ensure platform reliability.

Fueled is a leading digital strategy, design, and engineering agency. The 300+ person team has designed and built hundreds of digital products for major brands like Google, Apple, and The New York Times, and thrives in a culture that values flexibility, creativity, and cutting-edge technology.

$54,432–$77,760/yr
Netherlands

  • Execute physical rack-and-stack deployments, structured cabling, and infrastructure lifecycle management across production data centers.
  • Triage, troubleshoot, and remediate hardware and network faults while repairing or replacing failing components.
  • Manage operational ticket queues and coordinate with engineering teams and third-party Remote Hands technicians.

Zscaler is a cloud security company whose Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss. The company operates the world's largest in-line cloud security platform across 200+ data centers, with an AI-native, customer-obsessed culture.

$180,000–$220,000/yr
US

  • Design, implement, and maintain reliable, scalable, and secure infrastructure to support applications and automation systems.
  • Automate infrastructure provisioning, configuration management, and deployment pipelines using tools like Terraform and ArgoCD.
  • Implement observability solutions and enforce security best practices to ensure uptime and system performance.

Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure production, using proprietary AI-based robotics and software to assemble hardware products for hyperscalers and OEMs. The company is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico, and has been recognized by Forbes' AI 50 and other leading organizations.

UK

  • Design and ship backend features that shape a global platform, making sound architectural trade-offs.
  • Mentor engineers, define standards, and drive quality, security, and operational excellence.
  • Integrate agentic AI into production workflows and collaborate with PMs and designers to deliver user value.

GitLab is the intelligent orchestration platform for DevSecOps, helping organizations increase developer productivity and accelerate digital transformation. Trusted by more than 50 million registered users and over half of the Fortune 100, GitLab fosters a remote-first, AI-driven culture where every voice is valued.

US

  • Lead client-facing engineering and solutioning from pre-sales through early delivery for enterprise AI platforms.
  • Architect and implement AI stacks, agentic solutions, and cloud-native platforms using Python, GenAI, and LLMs.
  • Drive AIOps, observability, and mission-critical platform transformation programs for regulated industries.

Global technology consulting and digital solutions company that enables enterprises to reimagine operations and drive measurable business impact. Its Enterprise AI business unit focuses on scaled, production-grade AI adoption and agentic platforms.

Global

  • Lead the Platform team building identity, authorization, search, and API infrastructure.
  • Collaborate with engineers, designers, and PMs to implement modern architecture and ship tested code.
  • Optimize database performance, create developer tooling, and improve platform reliability.

Juniper Square unifies technology, data, and fund administration for private markets, trusted by 2,300+ GPs. With 1,000+ employees and $300B+ under administration, it's a fast-paced, transparency-driven culture built for ambitious owners.