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:

Ho Chi Minh - Viet Nam

Working Policy:

Remote

Salary:

Negotiation

Job ID:

J01893

Status:

Active

Related Job:

.NET Engineer

Ho Chi Minh - Viet Nam

Product

  • .NET
  • ReactJS
  • Angular

Take an active role in shaping requirements: Partner with stakeholders to understand their needs and translate them into effective technical solutions. Craft clean, scalable, and maintainable code: Build robust and high-performance applications using .NET languages, adhering to best practices and design patterns. Ensure quality through rigorous testing: Write comprehensive unit and integration tests, and participate in testing and debugging efforts to maintain high quality standards. Contribute to continuous improvement: Review, refactor, and maintain existing code to optimize performance and ensure long-term code health. Document your work effectively: Create clear and concise technical documentation to support ongoing development and maintenance. Collaborate effectively within a cross-functional team: Work closely with engineers, product managers, designers, and testers to achieve shared goals.

Negotiation

View details

Lead Data Engineer

Ho Chi Minh, Ha Noi - Viet Nam

Outsource

  • Data Engineering
  • Management

Architect, develop, and maintain scalable data infrastructure, including data lakes, pipelines, and metadata repositories, ensuring the timely and accurate delivery of data to stakeholders. Work closely with data scientists to build and support data models, integrate data sources, and support machine learning workflows and experimentation environments. Develop and optimize large-scale, batch, and real-time data processing systems to enhance operational efficiency and meet business objectives. Leverage Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring. Utilize AWS services such as S3, Glue, EC2, and Lambda to manage data storage and compute resources, ensuring high performance, scalability, and cost-efficiency. Implement robust testing and validation procedures to ensure the reliability, accuracy, and security of data processing workflows. Stay informed of industry best practices and emerging technologies in both data engineering and data science to propose optimizations and innovative solutions.

Negotiation

View details

Windows Engineer (C++/C#) - GSaaS

Ho Chi Minh - Viet Nam

Product

  • C/C++

Develop and maintain applications using C# (WinUI framework) and C++ (Qt framework and Win32 API). Participate in the company's software development projects and collaborate with cross-functional teams on software architecture. Develop new features according to requirements, provide development documentation, and participate in code reviews. Troubleshoot, debug, and optimize performance for existing software features and applications. Write high-quality, testable code, ensuring adherence to high code quality standards. Research and integrate new technologies to enhance software products. Mentor junior developers and contribute to team knowledge sharing.

Negotiation

View details