Distributed Systems Engineer

ABOUT CLIENT

Our client is a leading research company specializing in technology innovation

JOB DESCRIPTION

Design and create distributed systems capable of handling large amounts of sensory, telemetry, and control data across cloud and edge environments.
Plan and implement data ingestion and streaming pipelines to connect groups of robots to the cloud in real-time (video, LiDAR, joint states, audio).
Construct platforms for extensive training and inference to support robot autonomy and teleoperation using foundation models.
Work closely with ML and Robotics engineers to assist in hardware-in-the-loop simulation, policy rollout, and continuous learning initiatives.
Create internal observability systems to monitor fleet performance, reliability, and tuning.
Take the lead on infrastructure decisions such as distributed storage, consensus protocols, GPU orchestration, and network reliability.

JOB REQUIREMENT

Must have more than 7 years of professional experience in software engineering, specializing in distributed systems, networking, or data infrastructure.
Demonstrated capability in constructing and maintaining distributed systems that can handle large-scale workloads.
Proficient in Go, Rust, C++, or Python, with a strong foundation in concurrency, networking, and systems performance.
Familiarity with cloud-native architectures such as Kubernetes, gRPC, Kafka, S3, Ray, or similar frameworks.
Thorough understanding of data consistency, replication, and fault tolerance in heterogeneous environments.
Experience in GPU-based workloads, model training, or edge compute orchestration is desirable.
Strong analytical skills and a preference for developing fast, measurable, and dependable systems.
Experience in creating distributed training or large-scale simulation systems.
Knowledge of real-time robotics workloads, including streaming from physical sensors and actuators.
Previous involvement with telemetry, observability, or fleet-scale systems in production.
Contributions to open-source infrastructure, AI frameworks, or robotics middleware (ROS, gRPC, Mediasoup, etc.) would be advantageous.

WHAT'S ON OFFER

Join an exceptional research team to work on significant and impactful projects
Take charge of and influence the primary training code infrastructure utilized by the team
Engage with actual models, real data, and substantial scale challenges, not small-scale problems
Contribute to bridging the gap between research speed and engineering excellence
Enjoy a flexible work setting with a culture that treasures depth, transparency, and inquisitiveness

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:

Data Engineering, Devops, Golang, Rust, C/C++, Python

Location:

Others - Viet Nam

Working Policy:

Onsite, Remote

Salary:

Negotiation

Job ID:

J01893

Status:

Close

Related Job:

PreSales Solutions Engineer

Ho Chi Minh - Viet Nam


Product

  • Presale
  • System
  • Google Cloud

PreSales Support: Collaborating with the Sales team to understand client needs and develop tailored solutions using Google Maps and Google Cloud services. This involves conducting technical presentations, product demonstrations, and creating proof of concepts (POCs) for prospective clients, as well as contributing to proposals and RFP responses with detailed technical information. Post-Sales Support: Leading the technical implementation of Google Maps and Google Cloud services, ensuring smooth deployment and integration. Providing ongoing technical support and troubleshooting for clients after implementation, working closely with cross-functional teams to ensure client satisfaction and build long-term relationships. Technical Expertise: Staying up-to-date with the latest Google Maps and Google Cloud technologies, serving as a subject matter expert (SME) for both internal teams and clients. Integrating new features and services into client solutions and providing guidance on best practices. Collaboration: Working closely with Sales, Product, Infrastructure, Data, and Engineering teams to align solutions with client needs and company goals. Mentoring junior team members and contributing to training initiatives.

Negotiation

View details

Technical Lead

Ho Chi Minh - Viet Nam


Product

  • NodeJS
  • Python

Leading the backend development team, providing technical direction, mentorship, and best practices. Designing and implementing scalable, secure, and high-performance microservices-based architectures. Architecting and implementing agentic AI workflows and RAG (Retrieval-Augmented Generation) systems for personalized user interactions and automated coaching features. Overseeing data pipelines and infrastructure required for real-time AI model inference within a microservices-based environment. Collaborating with stakeholders to align on requirements and delivery timelines. Optimizing application performance, monitoring system reliability, and proactively troubleshooting issues. Advocating for CI/CD pipelines, automated testing, and robust version control strategies. Documenting key architectural decisions, APIs, and processes for internal use.

Negotiation

View details

Chief Technology Officer

Ha Noi - Viet Nam


Product

  • Cloud
  • Backend

Planning & designing overall system architecture: Creating a Technology Roadmap for a Game Server system with high concurrency and low latency for global players. Cost optimization: Deciding on the strategy for using Cloud infrastructure (AWS, GCP, Azure) or Hybrid Cloud to balance performance and operational expenses. High-level consultation: Participating in the Executive Board to address the relationship between speed-to-market of features and system stability. Tech-stack selection: Evaluating and finalizing programming languages (Go, C++, Java, Node.js) and processing models (Microservices vs Monolith) suitable for the complex logic of the game. Scalability solution: Directing the development of Auto-scaling, Load Balancing mechanisms, and managing Player State on large clusters. Data management: Designing Database structure (SQL/NoSQL) and Cache system (Redis, Memcached) to handle billions of queries daily without congestion. Ensuring Uptime: Building real-time monitoring and alerting systems to maintain 99.99% Availability. Network security: Implementing solutions to combat DDoS attacks, game fraud (Anti-cheat), and comprehensive user data security. Infrastructure & CI/CD: Standardizing automatic deployment processes to ensure game updates (Hotfix/Update) do not disrupt players. Deployment strategy & Optimization: Developing plans to optimize Cloud Services costs (AWS/GCP/Azure), evaluating the use of Spot Instances, Reserved Instances, or Private Cloud solutions to save operational budget. Meanwhile, establishing 24/7 monitoring and incident response systems.

Negotiation

View details