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Meet Tise At Tise, our goal is to make the world favori’Tise second hand by making it easy, fun, and inspiring to buy and sell pre-loved items through our marketplace. Sustainability is at the core of what we do, and…
At Tise, our goal is to make the world favori’tise second hand by making it easy, fun and inspiring to sell and buy second hand through our marketplace. Sustainability is at our core, and we strive to use our voice and…
Owns the operating rhythm of technical teams at a climate-tech company, running standups, backlog grooming, and sprint planning while coordinating engineering, data science, and underwriting workstreams.
Build and scale Mithril’s AI GPU infrastructure platform, owning backend APIs, marketplace logic, and supply integrations that handle real revenue and customer workloads.
Build and own the automation, observability, and tooling that keeps Mithril’s multi-cloud GPU orchestration platform stable and performant, directly shaping customer experience and revenue.
Build and maintain cloud infrastructure and CI/CD pipelines for Everphone’s device-as-a-service platform using Kubernetes, Terraform, and cloud-native tools.
Own and automate provisioning, deployment, and operations for a fleet of Linux-based edge devices, cameras, and sensors in industrial environments.
Coordinates healthcare projects and administrative tasks for a hospital department, tracking timelines and supporting process improvements.
Build and optimize distributed AI training systems, profiling bottlenecks in PyTorch stacks and low-level GPU kernels to speed up model convergence.
Coordinate cross-functional teams to deploy AI-powered robotics systems from prototype to production, managing timelines, risks, and customer site readiness.
Own the roadmap for Physical AI products, turning research into deployable robotics solutions while balancing tradeoffs between lab results and real-world performance.
Build and maintain fault-tolerant, scalable infrastructure for an AI platform, automating operations and improving uptime while guiding reliability best practices across teams.
Build and maintain simulation infrastructure for robotics, creating scalable systems to run, evaluate, and iterate on robotics models and digital twin environments.
Senior Annotation and Data Pipeline Manager Department: Operations Location: Bay Area Employment Type: FullTime About Genesis We are a full-stack general-purpose robot company, born across San Francisco and Paris and…
Build and scale security infrastructure for a Physical AI company, integrating controls across networks, endpoints, apps, and products while embedding security into the SDLC.
Owns quality for a photorealistic GPU renderer and physics engine used to train robotics AI; designs automated tests and validates visual fidelity, numerical accuracy, and cross-hardware reproducibility.
Builds internal frameworks and tools to accelerate AI research and development workflows, enabling teams to prototype and deploy production-ready systems efficiently.
Build and optimize a compiler stack for robotics simulation and AI training, using LLVM, JIT, and GPU codegen to maximize performance.
Build and maintain petabyte-scale data pipelines for robotics AI training, including batch and streaming systems, storage, and orchestration layers.
Manages and optimizes Oracle databases for a Fortune 500 energy company, ensuring performance, security, and reliability while troubleshooting SQL issues and coordinating with teams.
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