SWQA Development Engineer

ABOUT CLIENT

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

JOB DESCRIPTION

Evaluate the prerequisites of the product and create a test matrix.
Formulate a testing strategy, outline test scenarios, carry out the tests, and communicate all findings to the appropriate authorities.
Streamline the testing process by automating test scenarios and contributing to the creation and integration of testing frameworks.
Oversee the life cycle of identified bugs and collaborate with various teams to reach solutions.
Replicate and confirm the issues reported by customers and ensure that they are resolved in-house.

JOB REQUIREMENT

A bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field, along with at least 2 years of experience in Quality Assurance is required.
Proficiency in Unix/Linux and shell/python programming is essential for this role.
The ideal candidate needs to have extensive experience in developing test cases, automating tests in API/UI, and performing failure analysis.
Previous experience with AI development tools, such as creating and automating test cases, ensuring code coverage, and other related tasks, is a key requirement.
Strong understanding and practical experience in model testing and LLM benchmarking is important.
The candidate should possess a strong QA sense, including attention to detail, problem-solving skills, data analysis capabilities, and knowledge of quality standards and time management.
Excellent communication skills in written and verbal English are necessary.
The ability to work well in a team and independently is important.
A passion for learning new technologies is highly desirable.
Additional qualifications that would enhance the candidate's application include experience with GPU hardware, a background in deep learning frameworks, and experience in parallel programming, ideally CUDA/OpenCL.

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:

SDET, C/C++, Java, Python, Automation Test

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Onsite

Job ID:

J01964

Status:

Close

Related Job:

Salesforce Engineer (IC2)

Ho Chi Minh - Viet Nam

Outsource

  • Salesforce

#Salesforce Engineering (Quote-to-Cash) Build and maintain Salesforce processes from Quote through to Cash Work full-stack on the platform: declarative (data model, Flows, validation, security model) and programmatic (Apex, Lightning Web Components) Implement changes safely on a production system used by Go-to-Market every day#Integrations & System Interfaces Maintain and further develop the integrations between Salesforce and internal/external systems (customer portal, HubSpot, license management, billing/ERP, and others) Design and operate integrations using Salesforce REST/SOAP APIs and standard integration patterns Own the health of these interfaces: monitoring, error handling, and data consistency#Collaboration with Go-to-Market / RevOps Partner with RevOps and GTM to translate business needs into robust technical implementations Challenge requirements where they create risk or technical debt Coordinate handoffs at the Lead-to-Quote / Quote-to-Cash boundary#Reliability, Security & Change Safety Protect a revenue-critical system: change control, testing, backup/rollback awareness Apply JTL security and compliance standards to Salesforce work#Optional / stretch With spare capacity, support tech-heavy Lead-to-Quote topics in Salesforce (optional; primary ownership of Lead-to-Quote stays with RevOps)

Negotiation

View details

Senior Bioinformatics Engineer

Ho Chi Minh - Viet Nam

Product

  • Data Science

Serve as the primary bioinformatics subject matter expert for engineering teams developing cloud-native bioinformatics software. Collaborate with software architects to translate scientific workflows into scalable distributed computing architectures. Help engineers understand the computational characteristics, assumptions, and limitations of existing bioinformatics tools. Validate that modernized applications preserve scientific correctness and produce reproducible results. Define biological data models, metadata standards, controlled vocabularies, and best practices for data harmonization. Guide engineering teams in designing scalable approaches for processing large genomic and multi-omics datasets. Evaluate open-source bioinformatics software (e.g. PLINK, Regenie, BCFtools, GATK, Nextflow workflows, etc.) and identify opportunities for cloud-native modernization. Work with distributed computing specialists to determine how algorithms can be parallelized using Spark and other large-scale execution frameworks. Develop validation datasets, benchmarking methodologies, and acceptance criteria for transformed applications. Review engineering designs to ensure biological accuracy and scientific integrity. Collaborate with AI engineering teams on using AI-assisted software transformation while ensuring scientific correctness. Stay current with advances in bioinformatics, computational biology, distributed computing, and cloud-based scientific software.

Negotiation

View details

Senior Software Engineer (Distributed Computing)

Ho Chi Minh - Viet Nam

Product

  • Python
  • AWS
  • Spark

Design and provide input on system architectures, contribute to coding standards, and mentor junior engineers. Work with various teams to ensure software solutions meet business requirements, international standards, and objectives. Tackle complex software development and integration challenges, optimizing system performance. Create high-quality Python code and integrate diverse software components into cohesive solutions, with a focus on cloud computing and life sciences applications. Keep up-to-date with new technologies and Python frameworks, particularly in cloud computing. Oversee testing, deployment, and comprehensive documentation of integrated systems. Actively participate in all phases of the software development lifecycle. This includes creating user stories and engaging in sprint planning to align development efforts with business objectives. Engage with multinational companies, demonstrating flexibility to occasionally adapt to US and EU time zones.

Negotiation

View details