Define the technical direction and architecture for a rapidly expanding GPU cluster platform.
Lead and mentor a team of senior infrastructure engineers while staying hands-on with complex systems.
Establish security strategies and operational practices to ensure reliable, efficient AI experiments.
This organization powers cutting-edge AI research through large-scale GPU cluster infrastructure. It fosters a collaborative, fast-moving environment where engineers work closely with researchers.
Build and maintain internal CLIs, SDKs, and services in Python or Go for deploying and debugging AI agents.
Deploy, scale, and tune LLM inference with vLLM, including GPU scheduling and cost/latency trade-offs.
Own MLOps workflows, Kubernetes operators, and CI/CD to take AI agents from laptop to production.
Tessera Labs builds multi-agent AI systems that automate complex enterprise workflows across platforms like SAP, Salesforce, and Snowflake. Backed by Foundation Capital, the startup operates with extreme ownership and a fast-moving culture at the frontier of applied AI.
Owns the architectural direction for Code Metal's AI platform and the team building it.
Builds production-grade inference serving, model gateways, agent harnesses, and context-engineering services.
Instruments the stack end to end and drives experimentation and observability for reliable AI systems.
Code Metal provides automated software engineering using AI and formal verification to produce provably correct code. Founded in 2023 and backed by Accel, Salesforce Ventures, and others, it serves defense and enterprise customers from offices in Boston and San Francisco.
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.
Design, build, and deploy production AI applications, copilots, retrieval systems, and agentic workflows.
Develop backend services, APIs, and application architectures that integrate AI capabilities into enterprise systems.
Deploy AI solutions into production with appropriate security, observability, monitoring, evaluation, and governance.
We are a market-leading data, AI, analytics, and operations research advisory and solution engineering firm. We help organizations design, build, and operationalize enterprise-grade data and AI platforms with production-grade engineering discipline.
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.
Highrise AI is a GPU-native infrastructure platform delivering scalable compute for modern AI workloads across dedicated clusters, managed cloud, and confidential environments. As a subsidiary of Hut 8 Corp., it operates next-generation GPU clusters with disciplined operations and a growing global team of engineers and builders.
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.
Own the end-to-end architecture for AI products, including model selection, multi-agent orchestration, and retrieval systems.
Lead implementation of shared AI services, SDKs, and platform standards for production AI systems.
Provide technical leadership, mentoring, and stakeholder management to deliver high-impact AI initiatives.
RealPage provides software and AI solutions for the real estate and property management industry. It is a large organization that emphasizes innovation, engineering excellence, and responsible AI in a collaborative culture.
Drive architectural decisions across the [R]AIMS platform, balancing performance, scalability, security, and maintainability.
Lead major technical epics from conception through delivery, decomposing ambiguous problems into executable plans.
Mentor engineers, conduct design reviews, and raise technical execution across the platform.
Raft is a customer-obsessed, non-traditional defense technology company focused on AI/ML and data solutions for U.S. military and government agencies. Its culture emphasizes radical transparency, hyper-collaboration, and innovation with a mission-driven focus.
Act as the technical bridge between enterprise customers and core engineering, designing APIs, SDKs, and workflows.
Architect production-ready AI infrastructure for LLM inference, RAG pipelines, and GPU-accelerated workloads.
Write production-grade Go, Python, and TypeScript while shaping product strategy and mentoring engineers.
The hiring partner builds modern developer platforms and AI infrastructure that help enterprises ship AI-native applications. The team culture emphasizes hands-on technical excellence and collaboration; company size is not disclosed in the posting.
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.
Build production AI and agentic workflows end to end, from PRD and architecture through implementation, evaluation, and iteration.
Own the retrieval stack, model selection, and evaluation harness to ensure measurable quality, latency, and cost.
Design and maintain a reusable component library and set engineering standards for the CoE and partner teams.
QAD | Redzone builds an intelligent manufacturing and supply chain platform that connects people, processes, and data into a single System of Action. It fosters a collaborative culture of smart, hard-working people who support one another and prioritize diversity, equity, and inclusion.
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.
Design and build scalable cloud infrastructure spanning Kubernetes, distributed systems, and CI/CD pipelines.
Develop and deploy AI agents for infrastructure management with safeguards, observability, and reliability.
Provide staff-level technical leadership, mentoring engineers and driving architectural decisions.
The company builds enterprise AI applications and infrastructure, with a focus on AI-native engineering practices. It operates as a remote-first, globally distributed team spanning more than 15 countries, valuing technical excellence, inclusion, and continuous improvement.
Own the vision for applied AI solutions across Reddit's business and technical functions.
Build AI applications, agents, and automations that solve real business problems.
Mentor engineers and set technical direction for AI-native workflows.
Reddit is a community of communities, hosting open and authentic conversations on the internet. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information.
Design end-to-end architectures for agentic AI solutions, including orchestration, runtime, and integrations.
Collaborate with engineering and platform teams to implement reusable patterns and production-ready designs.
Evaluate tradeoffs across scalability, reliability, security, and cost, and support release and operations.
RealPage develops software for the real estate industry, including property management and AI-enabled solutions. The company emphasizes innovation, collaboration, and professional growth in its culture.
Build and scale the core infrastructure powering Vectara's AI agent platform.
Lead backend services, CI/CD, and observability initiatives with a focus on reliability.
Mentor team members and champion best practices in code quality and DevOps.
Vectara is an AI agent platform that builds secure, scalable infrastructure for AI-powered search and assistants. The team values engineering excellence, automation, and collaboration as they scale their platform.
Partner directly with clients to turn ambiguous business challenges into clear technical plans and prototypes.
Build and deploy AI-enabled applications, agentic workflows, APIs, data pipelines, and full-stack products.
Engineer reliable agent harnesses, evaluation frameworks, and safeguards to ensure production-ready AI systems.
TribalScale is a digital innovation firm that partners with clients to build transformative digital products, modernize technology platforms, and apply AI to meaningful business challenges. The team values curiosity, ownership, practical innovation, and lives by principles of meritocracy, empowerment, and transparency.
Lead technical design and delivery of high-impact AI initiatives, including agentic workflows and retrieval systems.
Own projects from concept through production while mentoring engineers and raising engineering standards.
Build production-grade AI systems using LLMs, RAG, and AWS services.
Givzey | Version2.ai is a fully remote, AI-native company that created the Autonomous Fundraising category, deploying Virtual Engagement Officers to help nonprofits scale donor outreach. The company has generated over $20M in fundraising revenue and fosters a culture of technical excellence, mentorship, and ownership.
Own AI agents and autonomous workflows powered by LLMs from problem framing through production.
Build RAG pipelines, set evaluation and guardrail standards, and optimize for cost and scalability.
Work directly with client teams to scope problems and deploy AI systems in their environments.
Acceler is a Forward-Deployed Engineer company that takes AI from pilot to production inside client systems. With a practitioner network of nearly 1,000 engineers across the US and India, it's a high-caliber team built on ownership, trust, and rapid learning.