58 Optimization Engineer jobs in Singapore

• Work at the frontier of AI and mobile technology
• Join a global-scale R&D team driving innovation in embedded intelligence

Our client is a global technology company with deep expertise in advanced imaging sensors and AI systems. Their R&D center in Singapore focuses on the seamless integration of artificial intelligence with next-generation hardware platforms, driving innovation across mobile, embedded, and intelligent device applications. The team combines world-class engineering talent with a culture of creativity, collaboration, and technical excellence.

• Design and optimize core frameworks and SDKs for mobile platforms, ensuring high efficiency and stability.
• Co-develop algorithms and software to enhance computer vision capabilities, including both traditional and deep learning approaches.
• Create and optimize algorithm strategies for mobile AI scenarios such as imaging, AR, and gesture recognition.
• Collaborate with cross-functional teams to deploy and fine-tune algorithms across multiple mobile chipsets.
• Continuously evaluate and improve algorithmic performance through rigorous testing and optimization.

• Bachelor's or Master's degree in Computer Science, Electronics, or related fields.
• Strong C/C++ programming skills with solid understanding of data structures, algorithms, and software architecture.
• Experience with computer vision, GPU programming (OpenCL, CUDA), or deep learning optimization.
• Familiarity with Linux development and mobile SDK deployment.
• Highly analytical, detail-oriented, and able to work effectively in collaborative, cross-disciplinary teams.
• Prior experience with mobile chipsets (Qualcomm, MediaTek) is a strong plus.

• Opportunity to work on cutting-edge AI algorithms integrated with advanced sensor technologies.
• Collaborative and innovation-driven R&D culture.
• Exposure to global projects and multi-disciplinary engineering teams.
• Continuous learning opportunities in AI, computer vision, and embedded systems.

Michael Page International Pte Ltd | Registration No. N

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.

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.

Seeking a skilled professional to drive growth and efficiency in our manufacturing operations. As a Manufacturing Staff Engineer, you will be responsible for managing complex production processes, predicting and addressing potential bottlenecks, and leading continuous improvement projects.

This is an exciting opportunity for a talented engineer to join our team and contribute to the future of technology. You will be working with fully automated production lines, coordinating resources to achieve daily production goals, and improving productivity and staff operation efficiency.

• Manage production metrics and identify areas for improvement
• Predictively analyze and address potential production bottlenecks
• Coordinate resources to meet daily production targets
• Lead cross-functional teams to improve processes and reduce costs

• Bachelor's Degree in Electronic Engineering, Electrical Electronics Engineering, Chemical Engineering, Materials Science, Mechanical Engineering, Industrial Engineering, or Computer Science
• At least 7 years of relevant experience in semiconductor industry foundry
• Strong project management skills and commitment to delivering results
• Excellent communication and coordination skills
• Able to work shifts, including weekends and holidays, and commit to standby duties as required

Overview
This role is the core owner of the company’s Odoo platform operations, fully responsible for end-to-end implementation, cross-department collaboration, website and system integration, and continuous optimization using AI technologies. The objective is to ensure that 100% of the company’s operations run seamlessly on Odoo, achieving efficiency, intelligence, and scalability.
Qualifications & Experience Requirements
Education : Bachelor’s degree in Computer Science, IT, Software Engineering, or equivalent experience with strong Odoo project portfolio.
Odoo Expertise : Minimum 3+ years in Odoo system implementation, customization, or administration, with hands-on experience in Website, E-commerce, CRM, Sales, Purchase, Inventory, and Accounting modules.
Front-End & Integration Skills : Proficient in HTML5, CSS3, JavaScript (ES6+), with knowledge of QWeb, Snippets, and Odoo Website/E-commerce modules. Strong experience integrating APIs (payment gateways, logistics, WooCommerce/Shopify, etc.).
Project Implementation Management : Proven ERP/Odoo implementation experience, capable of leading requirement gathering, solution design, UAT, training, and delivery.
Cross-Department Collaboration : Experience working with Sales, Procurement, Finance, Production, and Warehouse teams to unify processes and data flows.
AI Awareness : Understanding of applying AI technologies (predictive analytics, recommendation engines, chatbots, anomaly detection) to enhance Odoo workflows.
Database & Backend : Familiarity with PostgreSQL and basic Python/Odoo ORM.
Security & Compliance : Knowledge of GDPR/PDPA compliance, user authentication, and secure coding practices.
Bonus Skills :
Multi-company, multi-currency, and cross-border Odoo implementation experience.
Experience with DevOps/CI-CD, Odoo Online, or Odoo SH deployments.
PMP/Agile/Scrum certification.
Key Responsibilities
Odoo Platform Implementation & Management : Lead the company’s complete operations on Odoo, across Sales, Procurement, Inventory, Finance, Production, Website, and E-commerce modules.
Front-End & System Integration : Customize and develop Odoo Website & E-commerce features, interfaces, and modules; Build QWeb templates and reusable Snippets to enhance user experience; Integrate external systems (payment, logistics, WooCommerce, AI APIs) for seamless data synchronization.
AI-Driven Optimization : Apply AI technologies to the Odoo platform for Sales Forecasting, Inventory Optimization, Customer Experience, and Financial Analysis; continuously monitor and optimize processes for cost savings and efficiency.
Implementation & Training : Organize UAT sessions, prepare documentation, and deliver user training; Oversee system go-live, stability monitoring, and ongoing improvement; Provide troubleshooting and technical support.
Collaboration & Communication : Partner with Sales, Procurement, Finance, Production, and Warehouse teams to ensure smooth system adoption; Report project progress and optimization outcomes to management.
Application Requirements
Candidates must showcase past
Odoo project experience
and be prepared to explain how they can help the company achieve
full operations on Odoo with AI-driven optimization .
Employer Questions
What is your work rights status?
What is your expected monthly salary?
How many years of Odoo implementation experience do you have? Which modules?
Do you have hands-on experience with Odoo Website/E-commerce projects?
Have you managed ERP implementation projects across departments?
Do you have practical examples of applying AI technologies in ERP/Odoo?
Which API integrations (payment, logistics, e-commerce platforms) have you handled?
Do you have experience in multi-company, multi-currency, or cross-border Odoo projects?
Be careful - Don’t provide your bank or credit card details when applying for jobs. Don't transfer any money or complete suspicious online surveys. If you see something suspicious, report this job ad.
#J-18808-Ljbffr

AI Optimization Engineer - On-Device Intelligence
Join to apply for the AI Optimization Engineer - On-Device Intelligence role at Michael Page.
Be among the first 25 applicants. 3 days ago.
About Our Client
Our client is a global technology company with deep expertise in advanced imaging sensors and AI systems. Their R&D center in Singapore focuses on the seamless integration of artificial intelligence with next-generation hardware platforms, driving innovation across mobile, embedded, and intelligent device applications.
Job Description
Design and optimize core frameworks and SDKs for mobile platforms, ensuring high efficiency and stability.
Co-develop algorithms and software to enhance computer vision capabilities, including both traditional and deep learning approaches.
Create and optimize algorithm strategies for mobile AI scenarios such as imaging, AR, and gesture recognition.
Collaborate with cross-functional teams to deploy and fine-tune algorithms across multiple mobile chipsets.
Continuously evaluate and improve algorithmic performance through rigorous testing and optimization.
The Successful Applicant
Bachelor's or Master's degree in Computer Science, Electronics, or related fields.
Strong C/C++ programming skills with solid understanding of data structures, algorithms, and software architecture.
Experience with computer vision, GPU programming (OpenCL, CUDA), or deep learning optimization.
Familiarity with Linux development and mobile SDK deployment.
Highly analytical, detail-oriented, and able to work effectively in collaborative, cross-disciplinary teams.
Prior experience with mobile chipsets (Qualcomm, MediaTek) is a strong plus.
What’s On Offer
Opportunity to work on cutting-edge AI algorithms integrated with advanced sensor technologies.
Collaborative and innovation-driven R&D culture.
Exposure to global projects and multi-disciplinary engineering teams.
Continuous learning opportunities in AI, computer vision, and embedded systems.
Contact
Lydia Chen (Lic No: R / EA no: 18C9065)
Michael Page International Pte Limited, company number N operates under the EA Licence Numbers of 18S9099 and 18C9065.
#J-18808-Ljbffr

Work at the frontier of AI and mobile technology
Join a global-scale R&D team driving innovation in embedded intelligence
About Our Client
Our client is a
global technology company
with deep expertise in
advanced imaging sensors and AI systems . Their R&D center in Singapore focuses on the seamless integration of artificial intelligence with next-generation hardware platforms, driving innovation across mobile, embedded, and intelligent device applications. The team combines world-class engineering talent with a culture of creativity, collaboration, and technical excellence.
Job Description
Design and optimize core frameworks and SDKs for mobile platforms, ensuring high efficiency and stability.
Co-develop algorithms and software to
enhance computer vision capabilities, including both traditional and deep learning approaches.
Create and optimize algorithm strategies for mobile AI scenarios such as imaging, AR, and gesture recognition.
Collaborate with cross-functional teams to deploy and fine-tune algorithms across multiple mobile chipsets.
Continuously evaluate and improve algorithmic performance through rigorous testing and optimization.
The Successful Applicant
Bachelor's or Master's degree in
Computer Science, Electronics, or related fields .
Strong
C/C++ programming
skills with solid understanding of
data structures, algorithms, and software architecture .
Experience with
computer vision ,
GPU programming (OpenCL, CUDA) , or
deep learning optimization .
Familiarity with
Linux development
and
mobile SDK deployment .
Highly analytical, detail-oriented, and able to work effectively in collaborative, cross-disciplinary teams.
Prior experience with
mobile chipsets (Qualcomm, MediaTek)
is a strong plus.
What's on Offer
Opportunity to
work on cutting-edge AI algorithms
integrated with advanced sensor technologies.
Collaborative and innovation-driven R&D culture.
Exposure to global projects and multi-disciplinary engineering teams.
Continuous learning opportunities in AI, computer vision, and embedded systems.
Michael Page International Pte Ltd | Registration No. N
#J-18808-Ljbffr

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
Get AI-powered advice on this job and more exclusive features.
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
Referrals increase your chances of interviewing at Rakuten Asia Pte Ltd by 2x
Sign in to set job alerts for “Optimization Engineer” roles.
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
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr

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)
Get AI-powered advice on this job and more exclusive features.
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
Referrals increase your chances of interviewing at Bitdeer (NASDAQ: BTDR) by 2x
Sign in to set job alerts for “Optimization Engineer” roles.
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)
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr