Director Engineering – Software Engineering and AI Inferencing Platforms

ABOUT CLIENT

Our client is a leading technology company specializing in graphics processing units (GPUs) and artificial intelligence (AI).

JOB DESCRIPTION

Lead and expand engineering teams in Vietnam across system software, data science, and AI platforms.
Drive the creation, structure, and delivery of high-performance system software platforms that support AI products and services.
Collaborate with global teams across Machine Learning, Inference Services, and Hardware/Software integration to guarantee performance, reliability, and scalability.
Oversee the development and optimization of AI delivery platforms in Vietnam, including NIMs, Blueprints, and other flagship services.
Collaborate with open-source and enterprise data and workflow ecosystems to advance accelerated AI factory, data science, and data engineering workloads.
Promote continuous integration, continuous delivery, and engineering best practices across multi-site R&D Centers.
Work with product management and other stakeholders to ensure enterprise readiness and customer impact.
Establish and implement standard processes for large-scale, distributed system testing including stress, scale, failover, and resiliency testing.
Ensure security and compliance testing aligns with industry standards for cloud and data center products.
Mentor and develop talent within the organization, fostering a culture of quality and continuous improvement.

JOB REQUIREMENT

Computer Science, Computer Engineering, or related field Bachelor's, Master's, or PhD.
15+ years software engineering experience, 6+ years in senior leadership roles.
Managed large, high-performing software teams and delivered complex AI/ML or data-driven products.
Expertise in cloud, data, and accelerated computing technologies (e.g., Spark, Kubernetes, Dask, Python ecosystem, CUDA).
Experience collaborating with open-source communities and enterprise partners.
Strong leadership, communication, and cross-functional coordination skills.
Strategic mindset with hands-on technical depth in AI, system software, or largescale data platforms.
Experience building and scaling AI/ML Inferencing platforms from concept to production.
Background in GPU programming, CUDA optimization, or system performance engineering.
Deep understanding of microservices, distributed systems, and high-performance data architectures.
Contributions to open-source projects or developer ecosystems.
Knowledge of deep learning, RAG, embeddings, or modern text search frameworks.

WHAT'S ON OFFER

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Management, Backend, Devops, Data Engineering, Cloud, AI

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Onsite

Salary:

Negotiation

Job ID:

J01972

Status:

Active

Related Job:

DevOps Engineer

Others - Viet Nam


Product

  • Devops
  • Kubernetes
  • Network

Operate and evolve our Kubernetes platform across multiple clusters and environments (Prod, Dev, hybrid on-prem and public cloud), covering control plane operations, node lifecycle, upgrades, and autoscaling at every layer (Cluster Autoscaler, HPA, KEDA). Architect and manage hybrid cloud infrastructure spanning on-premises and public clouds (GCP, AWS), including workload placement, cross-cloud networking, and unified resource management. Own the CI/CD and GitOps experience end-to-end: container build pipelines, image optimization, and progressive delivery via ArgoCD / FluxCD. Own the observability stack as a single pane of glass across all clusters: Grafana, Mimir, Tempo, Loki, Pyroscope, OnCall, Prometheus -- and help push toward agent-assisted SRE workflows. Manage and improve our inference platform: vLLM serving and AIBrix for multi-model orchestration and autoscaling across a fleet of NVIDIA GPUs. Operate platform services: Kafka, Redis, PostgreSQL, OpenSearch. Manage identity and access via Keycloak integrated with Google Workspace; harden SSO, RBAC, and secrets management across the platform. Harden network security across private load balancers, firewalls, and VPC segmentation; design and maintain hub-and-spoke / multi-AZ topologies. Support training infrastructure: self-service VM provisioning, RunPod burst capacity, Weights and Biases integration. Drive infrastructure reliability, cost efficiency, and capacity planning as the platform scales.

Negotiation

View details

Platform Engineer

Ho Chi Minh - Viet Nam


Product

  • Backend
  • Devops
  • Data Engineering

Build and maintain distributed infrastructure handling telemetry, sensory, and control data across cloud and edge environments Design and operate data ingestion and streaming pipelines connecting robot fleets to the cloud in real time, covering video, joint states, audio, and LiDAR Develop and maintain backend services and APIs that power the Company's developer-facing platform, with a focus on reliability and developer experience Manage and evolve cloud native infrastructure using Kubernetes, Docker, and infrastructure as code tooling Ensure platform reliability through monitoring, alerting, autoscaling, failover, and incident response Support ML and robotics teams with data infrastructure for training pipelines, policy rollout, and hardware-in-the-loop simulation Implement secure APIs with access control, rate limiting, and usage metering as we scale

Negotiation

View details

Software Engineer (Digital Twin)

Ho Chi Minh - Viet Nam


Product

  • Python
  • C/C++

Build and maintain high-fidelity digital twin environments for Asimov across MuJoCo, Isaac Sim, and Unreal Engine, calibrated to real hardware behavior. Design and own the systems -- not just the environments -- that let locomotion, autonomy, and perception teams generate, validate, and iterate on simulation scenarios at scale. Build pipelines for asset import, USD and MJCF workflows, sensor modeling, and real-to-sim calibration to keep digital twins synchronized with evolving hardware. Develop photorealistic rendering pipelines in Unreal Engine for synthetic data generation and perception model training. Work with hardware and mechatronics teams to model actuator dynamics, contact physics, and structural behavior, ensuring simulation parameters reflect physical ground truth. Integrate digital twin environments with the Company's locomotion training pipeline (Cyclotron) and autonomy stack, enabling teams to run experiments and close the sim-to-real gap. Contribute to the open-source Asimov simulation stack, including tooling, documentation, and reproducible environment workflows.

Negotiation

View details