Top Tech Jobs & Startup Jobs in Singapore

Design, develop, and deploy machine learning models; preprocess and analyze large datasets; build scalable ML pipelines; fine-tune and monitor models in production; collaborate with cross-functional teams and communicate results to stakeholders.

Design, build, and deploy automated manufacturing test infrastructure and software. Develop and validate manufacturing test strategies, support production test systems and NPI, troubleshoot scripts and databases, collaborate with hardware/software teams and international manufacturing partners, and lead a team of Test Automation Engineers to improve test quality and efficiency.

Design, implement, test and validate embedded firmware for networking products. Gather requirements, design sub-modules, debug and fix issues, participate in technical discussions, and deliver high-quality software while collaborating with cross-functional and partner teams.

Lead and grow HPE channel sales in Singapore: set quotas and strategy, manage and develop sales and partner teams, drive revenue and market share, oversee P&L and resource planning, cultivate C-level relationships, enable solution selling, and ensure operational execution across direct and partner routes to market.

This role involves hybrid work, managing sales pipelines, establishing client relationships, and leveraging technical knowledge in HPC and AI to drive sales.

Lead and grow HPE's HPC and AI sales organization: set quotas and strategy, manage sales teams and partners, drive revenue and market share, build C-level relationships, and develop sales talent and go-to-market execution.

Design and develop high-performance hardware platforms: component selection, schematic and board-level design, bring-up, debugging, validation, and signal integrity/power distribution analysis. Collaborate cross-functionally, run feasibility and margin studies, execute empirical testing and root-cause analysis, and work with internal and outsourced partners to drive products to production.

Lead multi-function engineering programs to deliver products on schedule and within budget. Develop schedules, budgets, resource plans, track progress, resolve escalations, drive JDM with external partners, integrate new technologies and quality initiatives, communicate with stakeholders, and mentor less‑experienced staff.

Design and standardize enterprise AI-driven workflows and multi-agent ecosystems. Create playbooks, reference architectures, and platformised reusable components. Drive AI adoption across the CoE, lead innovation in agentic workflows, mentor teams, and translate customer and industry needs into scalable AI/ML products and process transformations.

Lead design, development, and deployment of scalable AI/ML applications and microservices on Kubernetes. Build end-to-end MLOps pipelines, mentor AI engineers, evaluate emerging LLM and GenAI tools, ensure observability and governance, and produce technical documentation and runbooks.