117 Optimization Engineer jobs in Singapore

An automation engineer will be responsible for the design, development, configuration and implementation of mechanical/electronic systems to optimize efficiencies and enhance operational capabilities.

The ideal candidate will have demonstrable experience setting up programmable logic controller (PLC), single-board computers and/or robotic or automated systems in an industrial environment.

We are seeking a highly skilled Senior Process Optimization Engineer to join our team. In this role, you will be responsible for designing, developing, and implementing advanced process control solutions to optimize production processes, streamline workflows, and boost manufacturing productivity.

• You will design and develop advanced process control solutions using programming languages such as Java, C#, Groovy, or Python.
• Implement and integrate advanced process control systems in a semiconductor environment.
• Assess and enhance advanced engineering and process control capabilities to meet evolving production requirements.
• Generate and manage comprehensive reports on production and manufacturing Key Performance Indicators (KPIs).
• Monitor and troubleshoot advanced process control systems to minimize unplanned downtime.

• You must have strong knowledge of programming languages such as Java, C#, Groovy, or Python.
• Proficient in Model Predictive Control definition and understanding in semiconductor manufacturing system, processes, and technologies.
• Proven track record in advanced process control system development, integration, and optimization in a semiconductor environment.
• Bachelor's degree or higher in Computer Engineering, Computer Science, or equivalent experience.

About Bitdeer:
Bitdeer Technologies Group (Nasdaq: BTDR) is a world-leading technology company in Bitcoin mining. Bitdeer is committed to providing comprehensive computing solutions, handling processes such as equipment procurement, transport logistics, datacenter design and construction, equipment management, and daily operations. The company also offers advanced cloud capabilities for customers with high demand for artificial intelligence. Headquartered in Singapore, Bitdeer has deployed datacenters in the United States, Norway, and Bhutan.
What you will be responsible for:
Developing large model operators, optimizing parallel strategies, and improving performance for inference and training.
Building a high-performance large model compilation system through design and optimization of self-developed NPU software and hardware systems.
Collaborating closely with the chip department for hardware-software optimization.
Researching and introducing cutting-edge technologies for large models.
How you will stand out:
Possess a Master’s or Bachelor’s degree in Computer Science, Electronics, Automation, Software, or related fields; proficient in C/C++ or Python, with strong knowledge of algorithms and data structures.
Skilled in high-performance computing optimization techniques for self-developed NPUs/GPUs, with a deep understanding of computer architecture.
Familiar with distributed parallel computing optimization, memory access optimization, and low-bit computation.
Knowledgeable about deep learning algorithms, neural network architectures, and operator computation methods; experienced with frameworks like PyTorch, TensorFlow, or MindSpore.
Familiar with compilation frameworks such as TVM, MLIR, XLA, LLVM; experience in operator acceleration and optimization is a plus.
Knowledge of mainstream LLM architectures; experience with acceleration and optimization of LLM models and tools like TensorRT-LLM, ORCA, VLLM is preferred; capable of resolving complex optimization problems.
What you will experience working with us:
A culture valuing authenticity and diversity of thoughts and backgrounds.
An inclusive environment with open workspaces and a start-up spirit.
Opportunities to network with industry pioneers and enthusiasts.
Contributing directly to the future of the digital asset industry.
Involvement in new projects and developing processes/systems.
Personal accountability, autonomy, fast growth, and learning opportunities.
Attractive benefits and developmental opportunities such as training and mentoring.
---
Bitdeer is committed to providing equal employment opportunities and does not discriminate based on race, gender, age, or other protected conditions.
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WeRide is a leading, commercial-stage global company that develops autonomous driving technologies from Level 2 to Level 4. It offers an all-rounded product mix of Robotaxi, Robobus, Robosweeper, Robovan and Advanced Driving Solution to provide services. WeRide aims to develop safe and reliable driverless solutions to make our mobility and transportation safer, more affordable, and accessible.
For more information, please visit:
Job Overview:
As a CPU Algorithm Optimization Engineer, you will be dedicated to enhancing the execution efficiency and performance of software applications on central processing units. By optimizing algorithms and refining code implementation, you will ensure that our applications leverage the full computational power of the CPU. Your role will be pivotal in maximizing the potential of our CPU capabilities.
Locations:
Singapore
Guangzhou, Guangdong, China
Shenzhen, Guangdong, China
Responsibilities:
Analyze the CPU usage of existing software applications to identify performance bottlenecks.
Design and implement algorithm optimization strategies, including but not limited to loop optimization, branch prediction improvement, and instruction-level parallelism enhancement.
Utilize multi-threading and parallel processing techniques to increase the computational efficiency of applications.
Collaborate with software development teams to integrate performance optimization into the software development lifecycle.
Write technical documentation, including optimization reports, performance analysis, and best practices.
Keep abreast of the latest developments in CPU architecture and performance optimization techniques, analyzing and optimizing the theoretical and practical performance of algorithmic models.
Requirements:
Master's or Doctoral's degree in Computer Science, Artificial Intelligence, Applied Mathematics, or a related field.
At least 5 years of software development experience with actual cases of CPU performance optimization.
Proficiency in the C++ programming language.
Familiarity with the workings of computers and CPU principles.
Plus
Prior experience in compiler optimization is preferred.
In-depth understanding of parallel computing and multi-threaded programming.
Awarded in the International Collegiate Programming Contest (ACM ICPC)
Research background resides in algorithms.
Familiar with OpenCV implementation details.
More about WeRide:
Website:
Youtube:
LinkedIn:
Twitter:
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A Research and Development Professional with expertise in enhancing the performance of sputtering machines is required to join our team.

Key Responsibilities

• Optimize the sputtering process to achieve high-quality output, minimizing defects and inconsistencies.
• Regularly inspect and maintain the sputtering equipment to ensure it remains in optimal condition.
• Collaborate with cross-functional teams to ensure smooth operations and address any issues that may arise.
• Monitor and analyze data from the sputtering process to identify trends, areas for improvement, and opportunities for innovation.
• Develop and implement a continuous improvement approach to refine the sputtering process and enhance results.

Requirements:

• Masters or Ph.D. degree in Materials Science, Physics, or Chemistry with 3-4 years of experience.
• Strong understanding of PVD, CVD processes, and materials characterization techniques.
• Excellent analytical skills with proficiency in software tools such as Minitab and Microsoft Office.

What We Offer:

• Opportunity to work on cutting-edge projects and contribute to the development of innovative technologies.
• Collaborative and dynamic work environment that fosters growth and learning.
• Competitive salary and benefits package.

Join to apply for the
AI System Optimization Engineer
role at
Bitdeer (NASDAQ: BTDR)
4 days ago Be among the first 25 applicants
Join to apply for the
AI System Optimization Engineer
role at
Bitdeer (NASDAQ: BTDR)
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About Bitdeer
Bitdeer Technologies Group (Nasdaq: BTDR) is a world-leading technology company for Bitcoin mining. Bitdeer is committed to providing comprehensive computing solutions for its customers. The Company handles complex processes involved in computing such as equipment procurement, transport logistics, datacenter design and construction, equipment management, and daily operations. The Company also offers advanced cloud capabilities to customers with high demand for artificial intelligence. Headquartered in Singapore, Bitdeer has deployed datacenters in the United States, Norway, and Bhutan.
About Bitdeer
Bitdeer Technologies Group (Nasdaq: BTDR) is a world-leading technology company for Bitcoin mining. Bitdeer is committed to providing comprehensive computing solutions for its customers. The Company handles complex processes involved in computing such as equipment procurement, transport logistics, datacenter design and construction, equipment management, and daily operations. The Company also offers advanced cloud capabilities to customers with high demand for artificial intelligence. Headquartered in Singapore, Bitdeer has deployed datacenters in the United States, Norway, and Bhutan.
What You Will Be Responsible For
Responsible for developing large model operators, optimizing parallel strategies, and improving performance for both inference and training.
Build an industry-leading high-performance large model compilation system through the design and performance optimization of self-developed NPU software and hardware systems.
Collaborate closely with the chip department for joint hardware-software optimization.
Conduct research and introduction of cutting-edge technologies for large models.
How You Will Stand Out
Possesses a Masters or Bachelors degree in Computer Science, Electronics, Automation, Software, or related fields; proficient in C/C++ or Python, with strong knowledge of algorithms and data structures.
Skilled in high-performance computing optimization techniques for self-developed NPUs/GPUs, with a deep understanding of computer architecture.
Familiar with distributed parallel computing optimization, memory access optimization, and low-bit computation.
Familiar with the basic principles of deep learning algorithms, neural network architecture, and operator computation methods; knowledgeable in at least one deep learning training framework, such as PyTorch, TensorFlow, or MindSpore.
Familiar with compilation frameworks such as TVM, MLIR, XLA, LLVM; experience in operator acceleration and optimization is a plus.
Familiar with mainstream LLM (Large Language Model) architectures; experience with acceleration and optimization of LLM models and tools like TensorRT-LLM, ORCA, VLLM is preferred; capable of resolving complex problems encountered during the optimization process.
What You Will Experience Working With Us
A culture that values authenticity and diversity of thoughts and backgrounds;
An inclusive and respectable environment with open workspaces and exciting start-up spirit;
Fast-growing company with the chance to network with industrial pioneers and enthusiasts;
Ability to contribute directly and make an impact on the future of the digital asset industry;
Involvement in new projects, developing processes/systems;
Personal accountability, autonomy, fast growth, and learning opportunities;
Attractive welfare benefits and developmental opportunities such as training and mentoring.
Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, colour, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.
Seniority level
Seniority level Not Applicable
Employment type
Employment type Full-time
Job function
Job function Engineering and Information Technology
Industries Software Development
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Process Engineer (Open to hiring fresh graduates)
Manufacturing Production Control Engineer
Etch Process Engineer - Advanced Packaging
(Remote) Inference Optimization Engineer
Assistant/ Engineer, Mechanical (Production)
Process Engineer (PCP) 15 months training programme
Process Engineer (PCP) 15 months training programme
NTI PCVD Process Development Engineer/Snr Engineer
NTI PCVD Process Development Engineer/Snr Engineer
Autonomous Vehicle Planning Engineer Intern
Process Engineer (Manufacturing Engineer)
Industrialization & Process Innovation Engineer (Liquid)
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Distributed Training & Inference Optimization Engineer (LLM)
Join to apply for the
Distributed Training & Inference Optimization Engineer (LLM)
role at
Rakuten Asia Pte Ltd
Distributed Training & Inference Optimization Engineer (LLM)
4 days ago Be among the first 25 applicants
Join to apply for the
Distributed Training & Inference Optimization Engineer (LLM)
role at
Rakuten Asia Pte Ltd
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Situated in the heart of Singapore's Central Business District, Rakuten Asia Pte. Ltd. is Rakuten's Asia Regional headquarters. Established in August 2012 as part of Rakuten's global expansion strategy, Rakuten Asia comprises various businesses that provide essential value-added services to Rakuten's global ecosystem. Through advertisement product development, product strategy, and data management, among others, Rakuten Asia is strengthening Rakuten Group's core competencies to take the lead in an increasingly digitalized world.
AI & Data Division (AIDD) spearheads data science & AI initiatives by leveraging data from Rakuten Group. We build a platform for large-scale field experimentations using cutting-edge technologies to provide critical insights that enable faster and better and faster contribution for our business. Our division boasts an international culture created by talented employees from around the world. Following the strategic vision “Rakuten as a data-driven membership company”, AIDD is expanding its data & AI related activities across multiple Rakuten Group companies.
As a
GPU Training & Inference Optimization Engineer , you will focus on maximizing the performance, efficiency, and scalability of LLM training and inference workloads on Rakuten’s GPU clusters. You will deeply optimize training frameworks (e.g., PyTorch, DeepSpeed, FSDP) and inference engines (e.g., vLLM, TensorRT-LLM, Triton, SGLang), ensuring Rakuten’s AI models run at peak efficiency. This role requires
strong expertise in GPU-accelerated ML frameworks, distributed training, and inference optimization , with a focus on reducing training time, improving GPU utilization, and minimizing inference latency.
Key Responsibilities
Optimize LLM training frameworks (e.g., PyTorch, DeepSpeed, Megatron-LM, FSDP) to maximize GPU utilization and reduce training time.
Profile and optimize distributed training bottlenecks (e.g., NCCL issues, CUDA kernel efficiency, communication overhead).
Implement and tune inference optimizations (e.g., quantization, dynamic batching, KV caching) for low-latency, high-throughput LLM serving (vLLM, TensorRT-LLM, Triton, SGLang).
Collaborate with infrastructure teams to improve GPU cluster scheduling, resource allocation, and fault tolerance for large-scale training jobs.
Develop benchmarking tools to measure and improve training throughput, memory efficiency, and inference latency.
Research and apply cutting-edge techniques (e.g., mixture-of-experts, speculative decoding) to optimize LLM performance.
Mandatory Qualifications
3+ years of hands-on experience in GPU-accelerated ML training & inference optimization, preferably for LLMs or large-scale deep learning models.
Deep expertise in PyTorch, DeepSpeed, FSDP, or Megatron-LM, with experience in distributed training optimizations.
Strong knowledge of LLM inference optimizations (e.g., quantization, pruning, KV caching, continuous batching).
Bachelor’s or higher degree in Computer Science, Engineering, or related field.
Nice-to-Have Skills
Proficiency in CUDA, Triton kernel, NVIDIA tools (Nsight, NCCL), and performance profiling (e.g., PyTorch Profiler, TensorBoard).
Experience with LLM-specific optimizations (e.g., FlashAttention, PagedAttention, LoRA, speculative decoding).
Familiarity with Kubernetes (K8s) for GPU workloads (e.g., KubeFlow, Volcano).
Contributions to open-source ML frameworks (e.g., PyTorch, DeepSpeed, vLLM).
Experience with inference serving frameworks (e.g., vLLM, TensorRT-LLM, Triton, Hugging Face TGI).
Why Join Us?
Work on cutting-edge LLM training & inference optimization at scale.
Directly impact Rakuten’s AI infrastructure by improving efficiency and reducing costs.
Collaborate with global AI/ML teams on high-impact challenges.
Opportunity to research and implement state-of-the-art GPU optimizations.
Rakuten is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief, or age.
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Information Technology and Engineering
Industries Software Development
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Process Engineer (Open to hiring fresh graduates)
Manufacturing Production Control Engineer
Etch Process Engineer - Advanced Packaging
Assistant/ Engineer, Mechanical (Production)
Process Engineer (PCP) 15 months training programme
Research Engineer (Machine Learning in Chemical Engineering), ChBE
Queenstown, Central Singapore Community Development Council, Singapore 1 month ago
Process Engineer (PCP) 15 months training programme
NPU System Optimization Engineer (Software - Python)
Process Engineer (Manufacturing Engineer)
NTI PCVD Process Development Engineer/Snr Engineer
NTI PCVD Process Development Engineer/Snr Engineer
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Job Description

About Us: Agilent is a leading manufacturer of analytical equipment, supplies and test kits for analysis in the Analytical Chemistry, Environmental Sciences, Genomics, and In-Vitro Diagnostic markets, committed to continuous improvement and supply chain excellence. We are seeking a talented and motivated Regional Supply Chain Excellence Business Analyst to join our team and drive lean initiatives across our regional supply chain operations.

Job Summary: The Regional Lean Manufacturing Specialist is responsible for supporting the implementation and sustainability of lean principles across multiple facilities within the specified region. This role involves collaborating with teams to drive continuous improvement initiatives, optimize processes, and foster a culture of operational excellence.

Key Responsibilities:

• Lean Support: Assist in the deployment of lean methodologies, including 5S, Kaizen, Value Stream Mapping, and Six Sigma, to improve operational efficiency and reduce waste.
• Training & Coaching: Provide training and coaching to employees at all levels to build lean capabilities and ensure consistent application of lean principles, leveraging the Agilent Supply Chain Excellence playbooks and materials.
• Process Analysis: Analyze current manufacturing and logistics processes, identify areas for improvement, and support the implementation of solutions to enhance productivity, quality, and cost-effectiveness.
• Performance Monitoring: Help develop and monitor key performance indicators (KPIs) to track progress and measure the impact of lean initiatives.
• Project Assistance: Support multiple lean projects simultaneously, ensuring timely completion and alignment with strategic objectives.
• Collaboration: Work closely with cross-functional teams, including production, engineering, quality, and supply chain, to drive lean initiatives and achieve operational goals.
• Change Facilitation: Assist in change management processes to ensure smooth transitions and adoption of new practices.
• Continuous Improvement: Promote a culture of continuous improvement by encouraging innovation, problem-solving, and proactive thinking among employees.

• Minimum BA/BS in Business, Engineering/Chemistry/Biology or related.
• 8+ experience with LEAN, CI, TPS, DBS, and/or Six Sigma tools and programs and related with demonstrated ability to lead and implement manufacturing excellence programs working in diverse teams.
• 2+ years management experience working in manufacturing, logistics, or operations.
• Demonstrated ability to work in matrix organizations with multiple stakeholders and with teams to organize and present business cases and coordinate resources across technical, operations, quality, site management and to improve productivity.
• Ability to travel 25-50% within base region with occasional travel globally.

Join to apply for the Regional Lean Manufacturing Specialist role at Agilent Technologies

Join to apply for the Regional Lean Manufacturing Specialist role at Agilent Technologies

Job Description

Job Description

About Us: Agilent is a leading manufacturer of analytical equipment, supplies and test kits for analysis in the Analytical Chemistry, Environmental Sciences, Genomics, and In-Vitro Diagnostic markets, committed to continuous improvement and supply chain excellence. We are seeking a talented and motivated Regional Supply Chain Excellence Business Analyst to join our team and drive lean initiatives across our regional supply chain operations.

Job Summary: The Regional Lean Manufacturing Specialist is responsible for supporting the implementation and sustainability of lean principles across multiple facilities within the specified region. This role involves collaborating with teams to drive continuous improvement initiatives, optimize processes, and foster a culture of operational excellence.

Key Responsibilities:

• Lean Support: Assist in the deployment of lean methodologies, including 5S, Kaizen, Value Stream Mapping, and Six Sigma, to improve operational efficiency and reduce waste.
• Training & Coaching: Provide training and coaching to employees at all levels to build lean capabilities and ensure consistent application of lean principles, leveraging the Agilent Supply Chain Excellence playbooks and materials.
• Process Analysis: Analyze current manufacturing and logistics processes, identify areas for improvement, and support the implementation of solutions to enhance productivity, quality, and cost-effectiveness.
• Performance Monitoring: Help develop and monitor key performance indicators (KPIs) to track progress and measure the impact of lean initiatives.
• Project Assistance: Support multiple lean projects simultaneously, ensuring timely completion and alignment with strategic objectives.
• Collaboration: Work closely with cross-functional teams, including production, engineering, quality, and supply chain, to drive lean initiatives and achieve operational goals.
• Change Facilitation: Assist in change management processes to ensure smooth transitions and adoption of new practices.
• Continuous Improvement: Promote a culture of continuous improvement by encouraging innovation, problem-solving, and proactive thinking among employees.
  
  

• Minimum BA/BS in Business, Engineering/Chemistry/Biology or related.
• 8+ experience with LEAN, CI, TPS, DBS, and/or Six Sigma tools and programs and related with demonstrated ability to lead and implement manufacturing excellence programs working in diverse teams.
• 2+ years management experience working in manufacturing, logistics, or operations.
• Demonstrated ability to work in matrix organizations with multiple stakeholders and with teams to organize and present business cases and coordinate resources across technical, operations, quality, site management and to improve productivity.
• Ability to travel 25-50% within base region with occasional travel globally.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Manufacturing

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