Distributed Systems Engineer

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    "description": "<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">About Asimov</span> </span><br><span style=\"font-size: 12pt\">Asimov is our open‐source humanoid robotics platform, building every layer—from structural frames and electromechanical assemblies to power electronics, cabling, and embedded control hardware. We aim to democratize advanced robotics by sharing designs, firmware, and ML models with the global community. </span><br></p>\n<p><br></p>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">The Role</span> </span><br>We’re looking for a<span> </span><span style=\"font-weight: bold\">Distributed Systems Engineer</span><span> </span>to architect and scale the infrastructure that powers fleets of humanoid robots operating across the world.</p>\n<p><br>Work across the full stack of robotics infrastructure, from low-latency streaming and cloud simulation to large-scale training and telemetry pipelines. You’ll work directly with the founders and technical leadership to design the systems that let hundreds of robots learn, share, and act as one. <br><br><span style=\"font-size: 14pt; font-weight: bold\">What You’ll Do</span><br></p>\n<ul>\n<li><span style=\"font-weight: bold\">Architect and scale distributed systems</span><span> </span>that handle petabytes of sensory, telemetry, and control data across cloud and edge environments.</li>\n<li><span style=\"font-weight: bold\">Design data ingestion and streaming pipelines</span><span> </span>connecting fleets of robots to the cloud in real time (video, LiDAR, joint states, audio).</li>\n<li><span style=\"font-weight: bold\">Build large-scale training and inference platforms</span><span> </span>for multimodal foundation models powering robot autonomy and teleoperation.</li>\n<li><span style=\"font-weight: bold\">Collaborate with ML and Robotics engineers</span><span> </span>to support hardware-in-the-loop simulation, policy rollout, and continuous learning.</li>\n<li><span style=\"font-weight: bold\">Develop internal observability systems</span><span> </span>for fleet monitoring, reliability, and performance tuning.</li>\n<li><span style=\"font-weight: bold\">Lead infrastructure decisions</span><span> </span>— from distributed storage and consensus protocols to GPU orchestration and network reliability.</li>\n</ul>\n<p><br><span style=\"font-size: 14pt; font-weight: bold\">What You’ll Bring</span><br></p>\n<ul>\n<li>7+ years of professional software engineering experience, with deep expertise in<span> </span><span style=\"font-weight: bold\">distributed systems, networking, or data infrastructure</span>.</li>\n<li>Proven ability to<span> </span><span style=\"font-weight: bold\">build and operate production-grade distributed systems</span><span> </span>handling massive scale and mission-critical workloads.</li>\n<li>Proficiency in<span> </span><span style=\"font-weight: bold\">Go, Rust, C++, or Python</span>, with strong fundamentals in concurrency, networking, and systems performance.</li>\n<li>Experience with<span> </span><span style=\"font-weight: bold\">cloud-native architectures</span><span> </span>(Kubernetes, gRPC, Kafka, S3, Ray, or similar frameworks).</li>\n<li>Strong understanding of<span> </span><span style=\"font-weight: bold\">data consistency, replication, and fault tolerance</span><span> </span>across heterogeneous environments.</li>\n<li>Experience with<span> </span><span style=\"font-weight: bold\">GPU-based workloads, model training, or edge compute orchestration</span><span> </span>is a strong plus.</li>\n<li>Excellent analytical skills and a bias toward<span> </span><span style=\"font-weight: bold\">building fast, measurable, and reliable systems</span>.</li>\n</ul>\n<p><br><span style=\"font-size: 14pt; font-weight: bold\">Bonus Points</span><br></p>\n<ul>\n<li>Experience building distributed training or large-scale simulation systems.</li>\n<li>Familiarity with<span> </span><span style=\"font-weight: bold\">real-time robotics workloads</span>, including streaming from physical sensors and actuators.</li>\n<li>Prior work with<span> </span><span style=\"font-weight: bold\">telemetry, observability, or fleet-scale systems</span><span> </span>in production.</li>\n<li>Contributions to open-source infrastructure, AI frameworks, or robotics middleware (ROS, gRPC, Mediasoup, etc.).</li>\n</ul>\n<p><br><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">Why Join Menlo?</span> </span><br><span style=\"font-size: 12pt\">You’ll be part of a tight-knit team defining the next generation of humanoid robots. With genuine ownership of system architecture and the freedom to innovate, you’ll see your designs come to life in real-world deployments. If you thrive in fast-paced, open-collaborative environments, let’s build the future of robotics together.</span></p>",
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