NewSoftware Engineer - Data Infrastructure Luma AI, Inc.Software Engineer - Data InfrastructureRedwood City, CAAs a Data Infrastructure Engineer in Research at Luma, you will play a critical role in building and scaling the data infrastructure that supports our cutting-edge multimodal AI systems. Your work will focus on developing high-throughput, large-scale data processing pipelines tailored for machine learning research and internal ML platform needs.
Staff Software Engineer, Developer Infrastructure SesameStaff Software Engineer, Developer InfrastructureSan Francisco, CaliforniaYou've built and led developer tooling that other engineers genuinely wanted to use: self-serve frameworks, CLI tools, build systems, environment setup, or debugging tools. Build and maintain the complex systems that support rapid development: build systems, dependency management, test infrastructure, and developer environments all need ongoing care.
ML Infrastructure Engineer SundayML Infrastructure EngineerRedwood City, CaliforniaYou'll build systems across the full robot learning pipeline: ingesting and processing multimodal data, scaling distributed training, optimizing inference for real-time control and building research tooling. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria — we don’t want that to be the reason we miss out on great talent.
Infrastructure Engineer (Gpu & Compute) Lightning AIInfrastructure Engineer (Gpu & Compute)San Francisco, CA$180,000–$220,000 / yearYou will work at the intersection of hardware, systems, and software-owning system diagnostics and validation, developing automation, improving reliability, and ensuring clusters are ready to support demanding AI/ML and HPC workloads. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
Senior Staff Software Engineer, Core Infrastructure RobinhoodSenior Staff Software Engineer, Core InfrastructureMenlo Park, CA$264,000–$310,000 / yearRedesign infrastructure provisioning - transform Terraform from a collection of ad-hoc configurations into a scalable, self-service platform capability that enables rapid region provisioning and developer autonomy. Drive Kubernetes compute platform evolution - define the long-term direction for cluster lifecycle, scheduling strategy, control plane architecture, and multi-region resiliency across Robinhood's entire compute fleet.
MTS - Infrastructure OmnifoldMTS - InfrastructureSan Francisco, CaliforniaData and ML ops: ETL pipelines from varied customer data sources, model versioning and lifecycle management. We train a unique model for each customer, which means model training and inference work differently here than at any other company.
Infrastructure Tech Lead OmnifoldInfrastructure Tech LeadSan Francisco, CaliforniaData and ML ops: ETL pipelines from varied customer data sources, model versioning and lifecycle management. We train a unique model for each customer, which means model training and inference work differently here than at any other company.
AI Infrastructure Security Engineer Brain Co.AI Infrastructure Security EngineerSan Francisco, CaliforniaYou'll also be thinking a step ahead about security in an AI-native environment, where agents write code and operate inside developer and production workflows, while staying grounded in the core work of cloud, Kubernetes, identity, and networking. Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.
Security Infrastructure Engineer (SF Bay Area) HiggsfieldSecurity Infrastructure Engineer (SF Bay Area)San Francisco, CaliforniaTeam members are expected to work from our San Francisco office three full days per week , with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
Security Engineer, Infrastructure ServalSecurity Engineer, InfrastructureSan Francisco, CaliforniaImage provenance and supply-chain integrity, registry and admission controls, runtime sandboxing and isolation, and Kubernetes hardening (RBAC, network policies, pod security), with particular attention to the isolated workers that execute customer workflows. Design, implement, and operate Serval's infrastructure security program across cloud (AWS), Kubernetes, container runtimes, networking, and CI/CD, including hardening, configuration baselines, workload isolation, and continuous posture management.
Data Center Development & Infrastructure Finance Lead LambdaData Center Development & Infrastructure Finance LeadSan Francisco, CaliforniaOur investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove. Possess extensive experience in financial modeling and analysis, with a deep expertise in constructing complex financial models and interpreting financial statements to drive strategic decision-making.
Software Engineer - Infrastructure BaseTenSoftware Engineer - InfrastructureSan Francisco, CABy uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer.
Lead Security & Infrastructure Engineer AnodizeLead Security & Infrastructure EngineerSan Francisco, CaliforniaFleet Management & Endpoint Security: Hands-on experience administering multi-OS environments (macOS, Linux, Windows) using open source tools like FleetDM to enforce security without sacrificing engineering velocity or creating systemic risk via centralization. IaC & Automation First: Strong system design and software development skills, plus hands-on experience using Infrastructure as Code (IaC) to build and manage security and infrastructure programmatically.
Senior Staff Software Engineer, DC Infrastructure Crusoe EnergySenior Staff Software Engineer, DC InfrastructureSan Francisco, CA$250,000–$300,000 / yearWe're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. Own the deployment, monitoring, and operational support of developed tooling, ensuring solutions maximize GPU fleet availability and performance to drive customer success.
Staff Software Engineer, DC Infrastructure Crusoe EnergyStaff Software Engineer, DC InfrastructureSan Francisco, CA$215,000–$260,000 / yearWe're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. Own the deployment, monitoring, and operational support of developed tooling, ensuring solutions maximize GPU fleet availability and performance to drive customer success.
Lead Infrastructure Engineer ( SDWAN)- Risk Management JPMorgan Chase Bank, N.A.Lead Infrastructure Engineer ( SDWAN)- Risk ManagementSan Francisco, CAFull timeProven ability to own and manage SD WAN delivery technology/operational risk by maintaining audit-ready controls and approvals, and proactively identifying, escalating, and mitigating resiliency/security risks in alignment with stakeholders. You will also contribute to the SD WAN risk profile by ensuring designs and changes align to security, resiliency, and operational risk controls, with audit-ready documentation and clear stakeholder communication on risks and mitigations.
Infrastructure Engineer RelaceInfrastructure EngineerSan Francisco, CaliforniaWe power the fastest model on OpenRouter (10,000 tok/s) and deliver optimized small language models designed for retrieval, application, and core code generation functions. Our technology supports some of the world’s fastest-moving companies — including Lovable, Figma, and Vercel — as they deploy and scale code generation to hundreds of millions of users.
Software Engineer, Cloud Infrastructure DatologyAISoftware Engineer, Cloud InfrastructureRedwood City, CaliforniaTraining on curated data can dramatically reduce training time and cost ( 7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models.
Infrastructure Engineer NenInfrastructure EngineerSan Francisco, CaliforniaBe one of the founding engineers at Nen, building the platform that powers AI-driven automation across enterprise desktop environments at scale. Architect and scale the infrastructure that provisions isolated desktop containers on demand, globally.
Software Engineer, Infrastructure DatologyAISoftware Engineer, InfrastructureRedwood City, CaliforniaTraining on curated data can dramatically reduce training time and cost ( 7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models.