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Who We Are At Picnic, we’re reinventing the way employees experience lunch at work. By partnering with top local restaurants and batching hundreds of orders, we make it easy for companies to offer high-quality,…
Senior Staff ML Engineer who defines and builds the perception stack for Atoms' Physical AI robots: developing multimodal sensor-fusion and deep learning systems (camera, LiDAR, radar, audio) that turn raw sensor data into world representations for downstream planning and action models. Hands-on Python/C++ role with major architectural influence, onsite in San Francisco.
Senior Staff ML Engineer at Atoms (a Physical AI robotics company) to serve as a foundational technical leader building world models and foundation models that learn representations of physical environments from large-scale multimodal data (video, sensors, robot state). Deeply hands-on role in Python/ML frameworks covering research, architecture, training, and deployment for robotics, onsite in Sa
Staff-level machine learning engineer at Atoms, a physical-AI robotics company, defining the architecture for action models that let real-world robots reason, plan, and act. Day-to-day: research and build learned policies and multimodal (vision-language-action) models, train on real/simulated data, and set research direction.
Build and deploy AI models for autonomous transport robots, integrating perception, planning, and edge deployment in real-world industrial settings.
The Staff Developer Experience Engineer will build and optimize developer infrastructure, CI/CD pipelines, and OTA deployment systems for autonomous transport robotics. The role focuses on improving build performance and developer workflows across C++, Python, Go, and embedded firmware codebases.
Design and scale cloud systems for real-world robotics operations, focusing on fleet management, dispatch, and deployment platforms using Java/Go and cloud infrastructure.
A hands-on staff engineer role owning the hardware-in-the-loop (HIL) test benches that validate Atoms' robot autonomy stack off-vehicle — designing and building bench electronics, simulating vehicle networks (CAN, CAN FD, Automotive Ethernet), replaying sensor data, and automating tests in CI. Core tech: Python, C/C++, vehicle bus tooling, ROS, and real-time targets.
Designs and operates GPU-based training clusters for AI models, automating bare-metal provisioning and Kubernetes orchestration to scale Atoms' Physical AI systems in San Francisco.
Design and run the high-performance network connecting GPU compute clusters for a robotics company building Physical AI systems. Work with Arista, Cisco, Nvidia switches, and high-speed 800 Gbps networking to support training and simulation workloads for real-world robots in food, mining, and transport.
Build and scale the backend services powering a global menu-management platform used by 150K+ restaurants to sync menus across delivery apps and POS systems.
Build and scale the distributed GPU training infrastructure and MLOps platform that powers Atoms’ autonomous transport models, using Kubernetes, Ray, and MLflow.
Lead the full-stack software platform for a robotics company that automates food production, integrating kitchen teams, cloud services, and robotic systems using modern web and backend technologies.
Staff Designer at Otter, a San Francisco company whose software helps restaurants manage online food delivery. This onsite role owns ambiguous, company-level design problems end to end — finding the problem, driving cross-team initiatives to shipped product, raising design craft, and informally mentoring other designers.
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