About Asimov
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.
What to Expect
Do you want to design and operate the backbone of Menlo Research’s distributed platform for intelligent devices—from IoT sensors and edge controllers to high-performance cloud services? Are you passionate about building scalable, fault-tolerant systems that process real-time telemetry, stream analytics, and coordinate fleets of autonomous agents?
At Menlo.ai, you’ll work with C++, Go, Python, Bazel, Kubernetes, NATS, Kafka, Redis, PostgreSQL, and modern CI/CD pipelines to deliver infrastructure that powers next-generation robotics and AI applications.
What You’ll Do
- Design & build large-scale distributed services for telemetry ingestion, event streaming, and command orchestration across edge and cloud environments
- Implement real-time data pipelines using Kafka, NATS, or gRPC streams, ensuring low-latency, high-throughput processing
- Maintain and optimize stateful services (Redis, InfluxDB, Postgres) for consistency, replication, and failover in multi-region deployments
- Collaborate with embedded, controls, and ML teams to define API contracts, message schemas (Protobuf), and service SLAs
- Develop infrastructure-as-code (Terraform, Helm) and CI/CD workflows to automate testing, security scans, and rolling upgrades
- Monitor & troubleshoot production systems with Prometheus, Grafana, Jaeger, and custom observability tooling to meet 99.99% uptime goals
- Champion best practices in reliability engineering, capacity planning, and incident response for distributed platforms
What You’ll Bring
- 5+ years building and operating distributed, fault-tolerant systems in production
- Deep understanding of distributed systems concepts: consensus (Raft/Paxos), partition tolerance, consistency models, and backpressure
- Hands-on experience with streaming platforms (Kafka, Pulsar) or message queues (NATS, RabbitMQ)
- Expertise in container orchestration (Kubernetes), service mesh (Istio/Linkerd), and microservices architecture
- Proficiency in systems programming (C++/Go/Python) and strong CS fundamentals (algorithms, data structures, networking)
- Solid background with observability stacks (Prometheus/Grafana, OpenTelemetry, Jaeger/Zipkin)
- Track record of automating infrastructure (Terraform, Ansible) and building reliable CI/CD pipelines
- Excellent communication skills, collaborative mindset, and a bias for pragmatic solutions Join Menlo.ai’s Distributed Systems team and help architect the resilient infrastructure that underpins the future of autonomous robotics and AI-driven services.
Why Join Menlo?
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.
