Platform Lead

Develop and expand distributed systems to handle large volumes of sensory, telemetry, and control data across cloud and edge environments, facilitating real-time connections for fleets of robots.

Create the API Platform with a focus on high reliability, exceptional developer experience, and robust multimodal AI capabilities accessible through user-friendly APIs and SDKs.

Establish extensive training and inference platforms for foundation models used in robot autonomy, teleoperation, and developer integrations.

Devise data ingestion and streaming pipelines for real-time connectivity of robot fleets to the cloud, covering various data inputs such as video, LiDAR, joint states, and audio.

Oversee and advance a modern cloud native infrastructure stack employing Kubernetes, Docker, and infrastructure as code tools.

Ensure platform reliability through telemetry, monitoring, alerting, autoscaling, failover, and disaster recovery measures.

Make infrastructure decisions pertaining to distributed storage, consensus protocols, GPU orchestration, network reliability, and API security.

Foster collaboration across ML, robotics, and product teams to facilitate hardware in the loop simulation, policy rollout, continuous learning, and CI/CD workflows.

Implement secure APIs featuring fine-grained access control, usage metering, rate limiting, and billing integration to accommodate a growing user base.

At least 7 years of professional experience in software engineering focusing on distributed systems, backend infrastructure, or data platforms.

Proven track record of developing and managing high-scale systems for critical workloads.

Proficiency in Go, Rust, C++, Python, or TypeScript, with a solid understanding of concurrency, networking, and systems performance.

Deep knowledge of cloud native architectures, including Kubernetes, Docker, Helm, gRPC, Kafka, Ray, and service mesh technologies like Istio or Linkerd.

Solid understanding of API architecture and design patterns such as REST, gRPC, WebSockets, OAuth2, and OpenAPI.

Experience with various databases including PostgreSQL, Redis, and modern vector databases such as Pinecone, Weaviate, or FAISS.

Strong understanding of data consistency, replication, and fault tolerance in diverse environments.

Familiarity with observability tools like Prometheus, Grafana, Datadog, or OpenTelemetry in the context of large-scale production systems.

Experience in developing distributed training, large-scale simulation, or fleet-scale telemetry systems.

Familiarity with real-time robotics workloads, including streaming from physical sensors and actuators.

Experience with MLOps tools and AI workflows, encompassing model versioning, inference pipelines, and model registries.

Knowledge of billing systems, quota enforcement, chargeback models, and multi-tenant security and isolation.

Previous involvement in developer platforms, API products, and a strong focus on developer UX and documentation.

Contributions to open source infrastructure, AI frameworks, or robotics middleware such as ROS, gRPC, or Mediasoup are a plus.

Work remotely in an environment that promotes open-source collaboration

Enjoy 14 days of leave and unlimited sick days

Access to GPUs, AI credits, opportunities for fast career progression, and other perks.

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666