48 Solutions Engineer jobs in Vietnam
AI Solutions Engineer
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As an AI Solutions Engineer, you will collaborate closely with product managers, data scientists, and software engineers to understand requirements and translate them into robust AI models and systems. Your responsibilities will include building and optimizing machine learning pipelines, integrating AI models into existing applications, and ensuring the scalability and performance of AI-driven systems. You will explore and implement state-of-the-art AI techniques, including deep learning, natural language processing (NLP), computer vision, and reinforcement learning. A strong foundation in computer science, mathematics, and a passion for emerging technologies are essential.
Key Responsibilities:
- Design, develop, and deploy AI/ML models and algorithms for various applications.
- Build and maintain robust machine learning pipelines for data preprocessing, model training, and evaluation.
- Integrate AI solutions into existing software applications and platforms.
- Collaborate with cross-functional teams to define AI project requirements and deliverables.
- Research and implement state-of-the-art AI techniques and technologies.
- Optimize model performance, scalability, and efficiency.
- Develop and conduct rigorous testing and validation of AI models.
- Stay current with the latest advancements in AI, machine learning, and data science.
- Document AI models, methodologies, and deployment processes.
- Troubleshoot and resolve issues related to AI system performance and deployment.
Qualifications:
- Proven experience as an AI Engineer, Machine Learning Engineer, or similar role.
- Strong understanding of AI and ML concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Familiarity with data manipulation and analysis tools.
- Knowledge of NLP, computer vision, or other specialized AI fields is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.
This role is fully remote, offering flexibility and the opportunity to work on groundbreaking AI projects.
Solutions Engineer Staff
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- VIETNAM - Ho Chi Minh
**Job Description and Requirements**
- The Solutions Engineer (SE) will use a customer problem-centric approach to work dynamically across product lines and/or business units to develop comprehensive solutions with full customer flows. The Solutions Engineer will interact with customers and industry partners, to assess customer flows, gather requirements and propose solutions. The SE will also be involved in strategic design services to enable and accelerate customer adoption and improving the Quality of Results (QOR). This role will drive, protoype and design new methodologies and solutions across SNPS products. This role will also analyze gathered data, identify the viability of technology and present findings to customers, as well as back to R&D teams to for future product enhancements and features. Leverages technical knowledge of multiple Synopsys products and tools, to define and create differentiated solutions that meet customer requirements and specifications, and to determine feasibility to expand into new and existing markets.
- Key qualifications:
- Good knowledge of DFT architecture
- Familiar with DFT flow, including DFT design, implementation, verification, pattern, and testing
- Experience in Scan/MBIST/BSD/LBIST
- Experience in DFT and related tool and flow
- Familiar with scripting languages, such as TCL, Perl, Python.
- Familiar with Verilog and /or VHDL
- Good knowledge of SoC design, synthesis, timing closure.
- Good knowledge of silicon test
- Good English/communication skills and willingness to work with a global team
- BS or MS, major in Micro Electronics or related
- Preferred Experience:
- Ideally, should have 8+ years of DFT design background and have led teams on implementation/verification of Design-for-Test logic on a few designs
- Knowledge of synthesis/timing/constraint/layout is a plus
- Knowledge of Automotive DFT flows and solutions is a plus
- Familiar with pattern debugging, failure analysis and yield improvement
- Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.
**Job Category**
- Engineering
**Country**
- Viet Nam
**Job Subcategory**
- Solutions Engineering
**Hire Type**
- Employee
Senior Cloud Solutions Engineer
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Key Responsibilities:
- Design and architect robust cloud solutions on platforms such as AWS, Azure, or Google Cloud Platform (GCP).
- Implement and manage cloud infrastructure, including compute, storage, networking, and security services.
- Develop and maintain Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Ansible.
- Automate deployment, scaling, and management processes using CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps).
- Monitor cloud environments for performance, security, and cost-efficiency, implementing optimizations as needed.
- Troubleshoot and resolve complex technical issues across cloud infrastructure and applications.
- Collaborate with development teams to ensure seamless integration and deployment of applications in the cloud.
- Develop and document cloud architecture, best practices, and operational procedures.
- Provide technical leadership and mentorship to junior engineers.
- Stay current with the latest cloud technologies, services, and industry trends.
- Participate in client consultations to understand requirements and provide expert technical guidance.
- Ensure compliance with security standards and regulatory requirements in cloud environments.
- Optimize cloud resource utilization and implement cost management strategies.
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
- Minimum of 6 years of experience in IT infrastructure and operations, with at least 4 years focused on cloud computing.
- Proven expertise in designing, deploying, and managing cloud solutions on at least one major cloud platform (AWS, Azure, GCP).
- Strong experience with containerization technologies (Docker, Kubernetes).
- Proficiency in scripting languages (e.g., Python, Bash) and IaC tools.
- Solid understanding of networking concepts (TCP/IP, DNS, VPNs, load balancing).
- Experience with CI/CD pipelines and DevOps practices.
- Knowledge of security best practices for cloud environments.
- Excellent problem-solving, analytical, and troubleshooting skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team environment.
- Relevant cloud certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert) are highly preferred.
Senior Industrial IoT Solutions Engineer
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Key Responsibilities:
- Design and architect end-to-end IIoT solutions for industrial clients.
- Integrate sensors, PLCs, SCADA systems, and other industrial equipment with IIoT platforms.
- Configure and deploy IIoT gateways and edge computing devices.
- Develop and manage data acquisition and transmission strategies using protocols like MQTT, CoAP, and OPC UA.
- Implement cloud-based IIoT solutions, leveraging platforms like AWS IoT or Azure IoT Hub.
- Develop data analytics dashboards and insights for industrial operations monitoring.
- Ensure the security of IIoT systems and industrial networks.
- Provide technical support and troubleshooting for deployed IIoT solutions.
- Collaborate with sales and client teams to understand requirements and propose solutions.
- Stay updated on emerging IIoT technologies, standards, and best practices.
Qualifications:
- Bachelor's degree in Computer Science, Electrical Engineering, Industrial Engineering, or a related field.
- 5+ years of experience in IIoT, embedded systems, industrial automation, or network engineering.
- Proven experience designing and implementing IIoT solutions in industrial settings.
- Strong knowledge of industrial communication protocols (e.g., Modbus, Profibus, OPC UA, MQTT).
- Experience with cloud IoT platforms (AWS IoT, Azure IoT Hub, Google Cloud IoT).
- Familiarity with embedded systems programming (C/C++) and scripting languages (Python).
- Understanding of data analytics, machine learning, and visualization tools.
- Excellent problem-solving, communication, and client-facing skills.
- Ability to work independently and manage projects remotely.
- Knowledge of cybersecurity principles for OT environments is a plus.
Technical Recruiter - Tech Consulting
Posted 2 days ago
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Responsibilities:
- Source, screen, and interview qualified technology candidates for open positions.
- Develop and execute comprehensive recruitment strategies to attract top talent.
- Build and maintain a robust pipeline of qualified candidates for various technical roles.
- Partner with hiring managers to understand their staffing needs and requirements.
- Manage the entire recruitment process, from job posting to offer extension.
- Utilize various sourcing tools and platforms (e.g., LinkedIn Recruiter, job boards, Boolean search).
- Assess candidate technical skills, experience, and cultural fit.
- Negotiate salary and benefits packages with candidates.
- Provide a positive candidate experience throughout the hiring process.
- Maintain accurate candidate data in the Applicant Tracking System (ATS).
- Stay updated on market trends and best practices in technical recruiting.
- Bachelor's degree in Human Resources, Business Administration, or a related field.
- Minimum of 3 years of experience in technical recruiting, preferably within a consulting or agency environment.
- Strong understanding of technology roles, programming languages, and IT infrastructure.
- Proven experience with various sourcing methodologies and recruitment tools (e.g., ATS, LinkedIn Recruiter).
- Excellent communication, interpersonal, and negotiation skills.
- Ability to build rapport with candidates and hiring managers.
- Strong organizational skills and attention to detail.
- Self-motivated and able to work effectively in a remote, fast-paced environment.
- Knowledge of employment law and best practices in recruiting.
Qualifications:
Technical Support Engineer - SaaS Solutions
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Key responsibilities include:
- Providing first-level and second-level technical support for our SaaS platform via email, phone, and ticketing systems.
- Diagnosing, troubleshooting, and resolving software defects, configuration issues, and integration problems.
- Guiding customers through complex product features, settings, and best practices.
- Escalating critical issues to the engineering and product development teams with detailed documentation.
- Developing and maintaining comprehensive knowledge base articles and user guides.
- Monitoring system performance and identifying potential issues proactively.
- Assisting with customer onboarding and training sessions.
- Collaborating with the QA team to reproduce and report bugs.
- Providing feedback to the product team on common customer issues and feature requests.
- Ensuring customer satisfaction by delivering timely and accurate technical solutions.
The ideal candidate will possess a Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. A minimum of 3 years of experience in a technical support role, specifically with SaaS or cloud-based software, is required. Proficiency in SQL and experience with at least one scripting language (e.g., Python, JavaScript) is highly desirable. Familiarity with common web technologies and protocols (HTTP, APIs) is necessary. Excellent analytical and troubleshooting skills, coupled with strong communication and interpersonal abilities, are essential. The ability to manage multiple priorities in a fast-paced environment and a commitment to providing exceptional customer service are critical. This position offers a competitive salary, benefits, and significant opportunities for professional development.
Senior Software Engineer - Cloud Solutions
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Lead Software Engineer - Cloud Solutions
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Senior Software Engineer - Cloud Solutions
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Key Responsibilities:
- Design, develop, and maintain scalable and reliable cloud-native applications.
- Implement and manage CI/CD pipelines for automated testing and deployment.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Troubleshoot, debug, and upgrade existing software.
- Ensure the performance, quality, and responsiveness of applications.
- Contribute to architectural decisions and technology selections.
- Write clean, maintainable, and well-documented code.
- Mentor junior engineers and participate in code reviews.
Qualifications:
- Bachelor's/Master's degree in Computer Science, Engineering, or related field.
- 5+ years of experience in software development.
- Strong proficiency in at least one backend programming language (e.g., Java, Python, Go).
- Hands-on experience with major cloud providers (AWS, Azure, GCP).
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Knowledge of relational and NoSQL databases.
- Understanding of microservices architecture.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
Senior Software Engineer - Cloud Solutions
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As a Senior Software Engineer, you will be responsible for the design, development, and implementation of scalable and robust cloud-based software solutions. You will work with a talented team to build and maintain microservices, APIs, and cloud infrastructure, leveraging modern development practices and technologies. Your expertise will be critical in ensuring the performance, security, and reliability of our cloud applications. You will mentor junior engineers, contribute to architectural decisions, and drive technical excellence across the team.
Key responsibilities:
- Design, develop, test, and deploy scalable cloud-native applications using languages such as Java, Python, Go, or Node.js.
- Build and maintain RESTful APIs and microservices architectures.
- Develop and manage infrastructure as code (IaC) using tools like Terraform or CloudFormation.
- Implement CI/CD pipelines for automated deployment and integration.
- Optimize application performance, scalability, and security on cloud platforms (AWS, Azure, GCP).
- Collaborate with product managers and other stakeholders to define software requirements and technical specifications.
- Write clean, well-documented, and maintainable code.
- Conduct code reviews and provide constructive feedback to team members.
- Troubleshoot and resolve complex software defects and production issues.
- Mentor junior software engineers and contribute to technical knowledge sharing.
- Stay current with emerging cloud technologies and software development trends.
- Participate in architectural discussions and contribute to technical roadmaps.