Platform Lead

Architect and scale distributed systems that handle petabytes of sensory, telemetry, and control data across cloud and edge environments, connecting fleets of robots in real time.

Design and build the API Platform, delivering high reliability, world class developer experience, and production grade multimodal AI capabilities via intuitive APIs and SDKs.

Build large scale training and inference platforms for multimodal foundation models powering robot autonomy, teleoperation, and developer integrations.

Design data ingestion and streaming pipelines connecting robot fleets to the cloud in real time, covering video, LiDAR, joint states, and audio.

Manage and evolve a modern cloud native infrastructure stack using Kubernetes, Docker, and infrastructure as code tooling.

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

Lead infrastructure decisions spanning distributed storage, consensus protocols, GPU orchestration, network reliability, and API security.

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

Implement secure APIs with fine grained access control, usage metering, rate limiting, and billing integration as we scale to serve millions of users.

7 or more years of professional software engineering experience with deep expertise in distributed systems, backend infrastructure, or data platforms.

Proven ability to build and operate production grade systems handling massive scale and mission critical workloads.

Proficiency in Go, Rust, C++, Python, or TypeScript, with strong fundamentals in concurrency, networking, and systems performance.

Deep experience with cloud native architectures including Kubernetes, Docker, Helm, gRPC, Kafka, Ray, and service mesh technologies such as Istio or Linkerd.

Strong understanding of API architecture and design patterns including REST, gRPC, WebSockets, OAuth2, and OpenAPI.

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

Strong understanding of data consistency, replication, and fault tolerance across heterogeneous environments.

Familiarity with observability tooling such as Prometheus, Grafana, Datadog, or OpenTelemetry applied to large scale production systems.

Experience building 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 including model versioning, inference pipelines, and model registries.

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

Prior experience on developer platforms or API products with a strong focus on developer UX and documentation.

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

Collaborate with a world-class research team on meaningful, high-impact projects

Own and shape the core training code infrastructure used daily by the team

Work on real models, real data, and real scale - not toy problems

Help bridge the gap between research velocity and engineering quality

Flexible work environment with a culture that values depth, clarity, and curiosity

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