Total 4 job vacancies by Tech Aalto Pte. Ltd.

System Software Engineer /Product Engineer (Hybrid Role)

Role Summary

The System Software Engineer / PE is a hybrid engineering role responsible for system software governance, platform integration, and end-to-end quality, performance, and process excellence.

This role bridges hands-on technical execution (BIOS, firmware, OS, drivers) with quality and engineering functions, ensuring high-quality system software delivery across platforms and ODMs.

The engineer works cross-functionally with BIOS, EC, OS, driver teams, hardware,validation, ODMs, and suppliers to drive robust design,efficient development processes, and measurable quality outcomes.

Key Responsibilities

1. System Software Engineering

·       Design, develop, integrate, and debug system software components, including:

OS-level components and platform enabling drivers

Hardware abstraction and system-level integrations

·       Analyze system-level issues across hardware,firmware, OS, and drivers, and drive root-cause resolution.

·       Collaborate with internal teams and ODM partnerson design reviews and integration readiness.

·       Support platform bring-up, feature enablement, and sustaining activities across multiple product generations.

·       Ensure compliance with system software standards, security requirements, and release criteria. 

2. Product Engineering(PE) 

·       Define, optimize, and enforce end-to-end system software development and release processes across projects.

·       Drive process standardization, documentation,and governance to improve predictability, efficiency, and quality.

·       Lead process gap analysis and corrective actions for recurring issues (e.g. late defects, rework, integration escapes).

·       Partner with validation, SIT, and ODM teams to ensure clear ownership, entry/exit criteria, and quality gates.

·       Enable scalable execution by translating complex requirements into repeatable workflows and checklists.

3. Cross-Functional & ODM Collaboration

·       Act as a technical interface between engineering teams and ODM partners.

·       Lead technical discussions, issue triage, and joint debug sessions across time zones.

·       Provide clear, data-driven communication on status,risks, and mitigation plans to stakeholders.

Qualifications

Education & Experience

·       Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or equivalent.

·       Typically 3+ years of experience in system software, firmware, OS, or platform engineering roles.

 Technical Skills

·  Strong understanding of system software architecture and platform integration.

o  Hands-on experience with one or more:

§  Windows or Linux OS internals

§  Device drivers or hardware-enabling software

o  Solid debugging skills across hardware–firmware–OS boundaries.

o  Knowledge of industry interfaces and protocols (e.g. PCIe, USB, I2C) is a plus.  

Process & Soft Skills

• Strong analytical and problem-solving mindset with a process-driven approach.
• Ability to work independently and lead initiatives with minimal supervision.
• Excellent communication skills; able to influence across engineering, validation, and ODM teams.
• Comfortable operating in global, cross-site, and cross-functional environments.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the TechAalto Privacy Policy, a copy of which is published at Tech Aalto’s website (https://www.techaalto.com/privacy/)

Confidentiality is assured,and only shortlisted candidates will be notified for interviews.

Tech Aalto Pte Ltd | 24S2130 EA | Pushpanjli Kir | R1657306.

Job Description:

• 5 years of hands-on experience in data engineering and analytics.
• Strong skills in statistical tools and programming languages such as Python, R, etc.
• Experience with data analysis / visualization tools and software like Power BI, Looker, Databricks etc.
• Proficiency in SQL for data extraction and manipulation.
• Attention to detail and a commitment to data accuracy.
• Proactive approach to identifying issues and providing solutions.
• Strong analytical and problem-solving skills. Ability to analyse complex datasets and translate data into actionable insights.
• Ability to present complex information in an understandable and compelling manner.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a team.
  
  When you apply, you voluntarily consent to the disclosure, collection and use of your personal employment/recruitment and related purposes in accordance with the TechAalto Privacy Policy, a copy of which is published at Tech Aalto’s website (https://www.techaalto.com/privacy/)
  Confidentiality is assured,and only shortlisted candidates will be notified for interviews.
  Tech Aalto Pte Ltd | 24S2130 EA Pushpanjli Kir | R1657306.

Job Description:

• 2 to 4 years of hands-on experience in data engineering and analytics
• Strong skills in statistical tools and programming languages such as Python, R, etc.
• Experience with data analysis / visualization tools and software like Power BI, Looker, Databricks etc.
• Proficiency in SQL for data extraction and manipulation.
• Attention to detail and a commitment to data accuracy.
• Proactive approach to identifying issues and providing solutions.
• Strong analytical and problem-solving skills. Ability to analyse complex datasets and translate data into actionable insights.
• Ability to present complex information in an understandable and compelling manner.
• Excellent written and verbal communication skills
• Ability to work independently and as part of a team

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the TechAalto Privacy Policy, a copy of which is published at Tech Aalto’s website (https://www.techaalto.com/privacy/)

Confidentiality is assured,and only shortlisted candidates will be notified for interviews.
Tech Aalto Pte Ltd | 24S2130 EA | PushpanjliKir | R1657306.

AI engineer

GENERAL DESCRIPTION

We are seeking a skilled machine learning platform engineer (MLOps) to join our agile platform team which is part of our ML & AI ART. In this role, Bridge the gap between experimental data science and production-grade systems. You'll contribute across the entire lifecycle - from concept to deployment - and collaborate closely with cross-functional teams to deliver high-quality digital solutions. Further, you drive the orchestration of advanced agentic workflows to enable autonomous, AI-driven systems. You will be responsible for engineering robust data pipelines, establishing comprehensive model management lifecycles, overseeing all foundational platform-level AI integrations –including engineering a robust library of AI skills for agent use.

kEY FEATURES OF THE POSITION

Functional /Technical

·     Design,develop and deploy machine learning solutions and services

·     Implement end-to-end machine learning pipelines from data ingestion to training and model serving

·     Operationalize LLMs, embeddings, and multi-agent systems in real-world applications

·     Manage the machine learning and model lifecycle (experimentation, registry, deployment)

·     Oversee the model promotion lifecycle, coordinating validation gates and approval workflows to safely deploy new model versions from stating to production

·     Containerize applications using Docker and orchestrate them via Kubernetes

·     Build and maintain CI/CD pipelines for ML models and LLM applications

·     Collaborate with data scientists to refactor research code into production-ready Python code

·     Monitor model performance, data drift, and performance in production

·     Assess and integrate AI solutions ensuring optimal performance and reliability

·     Design and implement production grade RAG systems

·     Collaborate with infrastructure teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes

·     Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

SKILLS REQUIREMENTS OFTHE POSITION

Competencies

• Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization
• Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule
• Continuous learning mindset, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligence
• Attention to detail and commitment to producing high-quality, reliable, and maintainable code

Educationand skills requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
• Advanced proficiency in Python programming with a focus on writing clean, testable and efficient code
• DevOps & Containers: Proficient with Docker for containerization and working knowledge of Kubernetes (k8s) for orchestration
• Practical understanding of GPU architecture and cloud compute instances to optimize resource allocation for training and inference workloads
• MLOPS tools: hands on experience with MLflow (or similar tools like weights & biases) for experiment tracking and model registry
• Proven experience working with Large Language Models (LLMs)
• Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
• Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
• Hands-on experience with CI/CD pipelines (GitLab, Jenkins)
• Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization
• Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively
• Relevant work experience in machine learning, data science or a related field

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto’s website (https://www.techaalto.com/privacy/)

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.