Total 6 firmware engineer job vacancies in Others category in Singapore

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

AML is ByteDance's machine learning platform, serving as the middle platform for machine learning. It provides training and inference systems for recommendation, advertising, computer vision (CV), speech, and natural language processing (NLP) for businesses such as Douyin, Toutiao, and Xigua Video. AML offers powerful machine learning computing resources to internal business departments, conducting research on algorithms that are both universal and innovative in addressing issues in these businesses. Additionally, through the Volcano Engine, AML provides core capabilities of some machine learning and recommendation systems to external enterprise clients. Moreover, AML engages in cutting-edge research in fields like AI for Science and scientific computing.

Volcano Ark is a large language model (LLM) service platform launched by Volcano Engine, offering comprehensive functionalities and services such as model training, inference, evaluation, and fine-tuning, with a focus on supporting the LLM ecosystem. Volcano Ark, through a stable and reliable security and mutual trust solution, ensures the security of models provided by model providers and the information security of model users. It accelerates the penetration of large model capabilities into various industries, contributing to the commercial growth of model providers and users.

Responsibilities:

- Contribute to the advancement of next-generation artificial intelligence technologies, including large models, multimodal capabilities, text comprehension, generation algorithms, and reinforcement learning within the context of Volcano Ark.

- Focus on and drive the practical application of relevant technologies in business scenarios, including but not limited to knowledge base question-answering, voice assistants, Text2Code, summarization and instruction extraction, role-playing, intelligent content creation, etc.

- Conduct in-depth tracking and research on cutting-edge technologies in large models and related areas, including but not limited to NLP (Natural Language Processing), CV (Computer Vision), multimodal capabilities, and embodied intelligence.

Qualifications

Minimum Qualifications

- Bachelor's degree or above in Computer Science, Engineering or equivalent is preferred, with 1+ years of experience building scalable system;

- Excellent coding skills, a solid foundation in data structures and algorithms, and familiarity with deep learning frameworks such as PyTorch.

- Experience in the fields of natural language processing, computer vision, video understanding, reinforcement learning, etc., is preferred.

Preferred Qualifications

- In the large model field, preference will be given to those who have led impactful projects or published influential papers. Priority will be given to those with experience in pre-trained models and downstream applications in NLP, CV, video, etc.

- Preference will be given to candidates with publications in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, KDD, etc.), relevant internship experience, or ACM competition winners.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance's sponsorship of a visa.

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The Applied Machine Learning (AML) - Enterprise team provides machine learning platform products on VolcanoEngine with cloud native resource scheduling system which intelligently orchestrates different tasks and jobs with minimised costs of every experiment and maximised resource utilisation, rich modelling tools including customised machine learning tasks and web IDE, and multi-framework high performance model inference services.

In 2021, through VolcanoEngine, we released this machine learning infrastructure to the public, to provide more enterprises with reduced costs of computation power, lower barriers to machine learning engineering and deeper developments in AI capabilities.

Responsibilities

Responsible for Ark Large Model Platform development on Volcano Engine, researching systematic solutions on large model solution implementations and applications in various industries, striving to reduce the IT cost of large model applications, meeting the users' ever-growing demand for intelligent interaction and improving the lifestyle and communications of users in the future world.

- Research, design, and develop computer and network software or specialised utility programs.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications

Minimum Qualifications

- B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions.

- Familiar with developments and operations of distributed systems under Linux platform.

- Proficient with at least 2 or more programming languages such as Golang / Python / C / C++ / Java / Scala / Javascript. ACM ICPC / Codeforces winners are preferred

- Excellent in technical design and coding skills. Able to balance technical perspectives with product sense, hardware performance & stability and team cooperation.

- Experienced or interested in at least one of the following topics:

1. Machine Learning Application: had experience in developments or implementations in data, model training, inference, application in various machine learning domains such as LLM / CV / NLP / Speech / Recommendation / Risk Control, etc.

2. LLM Application: dataset construction (conversations, RLHF, etc.), high performance fine-tuning (LoRA / P-Tuning / RLHG), model inference and deployment, applications (prompt engineering, retrieval augmentation, LangChain), new model exploration (LLama / Falcon / miniGPT4)

3. Cloud Computing: Kubernetes application development (such as Operator), micro-service & service mesh, flow control, cloud storage, exploration of technology commercialization, Terraform and etc.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance's sponsorship of a visa.

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The Applied Machine Learning (AML) - Enterprise team provides machine learning platform products on VolcanoEngine with cloud native resource scheduling system which intelligently orchestrates different tasks and jobs with minimised costs of every experiment and maximised resource utilisation, rich modelling tools including customised machine learning tasks and web IDE, and multi-framework high performance model inference services.

In 2021, through VolcanoEngine, we released this machine learning infrastructure to the public, to provide more enterprises with reduced costs of computation power, lower barriers to machine learning engineering and deeper developments in AI capabilities.

Responsibilities

Responsible for Ark Large Model Platform development on Volcano Engine, researching systematic solutions on large model solution implementations and applications in various industries, striving to reduce the IT cost of large model applications, meeting the users' ever-growing demand for intelligent interaction and improving the lifestyle and communications of users in the future world.

- Maintain a large-scale AI cluster and develop state-of-the-art machine learning platforms to support a diverse group of stakeholders.

- Tackle extremely challenging tasks which include, but are not limited to, delivering highly efficient training and inference for large language models, managing extremely effective distributed training jobs across clusters with over 10,000 nodes and GPU chips, and constructing highly reliable ML systems with unparalleled scalability.

- The work encompasses various aspects of LLMOps (Large Language Model Operations), such as resource scheduling, task orchestration, model training, model inference, model management, dataset management, and workflow orchestration.

- Investigate cutting-edge technologies related to large language models, AI, and machine learning at large, such as state-of-the-art distributed training systems with heterogeneous hardware, GPU utilization optimization, and the latest in hardware architecture.

- Employ a variety of technological and mathematical analyses to enhance cluster efficiency and performance.

Qualifications

Minimum Qualifications

- B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions with at least 3 years of R&D experience in the fields of cloud computing or large-scale model systems.

- Experience in Golang/C++/Cuda development with a solid understanding of Linux systems and popular cloud platforms such as Volcano Engine Cloud, AWS, and Azure Cloud.

- Profound knowledge of cloud-native orchestration technologies like Kubernetes, coupled with experience in large-scale cluster maintenance, job scheduling optimization, and cluster efficiency enhancement.

- A strong grasp on various foundational areas of computer science, including computer networking, the Linux file system, object storage services, and SQL as well as NoSQL databases.

- Self-motivated, thirst for innovation, collaborative working aptitude, and consistently uphold high standards in coding and documentation quality.

Preferred Qualifications:

- Experience in developing ML platforms or MLOps platforms. Experience in distributed machine learning model training, ML model fine-tuning, and deployment.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance's sponsorship of a visa.

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The Applied Machine Learning (AML) - Enterprise team provides machine learning platform products on VolcanoEngine with cloud native resource scheduling system which intelligently orchestrates different tasks and jobs with minimised costs of every experiment and maximised resource utilisation, rich modelling tools including customised machine learning tasks and web IDE, and multi-framework high performance model inference services.

In 2021, through VolcanoEngine, we released this machine learning infrastructure to the public, to provide more enterprises with reduced costs of computation power, lower barriers to machine learning engineering and deeper developments in AI capabilities.

Responsibilities

Responsible for Ark Large Model Platform development on Volcano Engine, researching systematic solutions on large model solution implementations and applications in various industries, striving to reduce the IT cost of large model applications, meeting the users' ever-growing demand for intelligent interaction and improving the lifestyle and communications of users in the future world.

- Manage and oversee the stability of both control and data aspects of large-scale model systems through effective DevOps practices.

- Develop and enhance observability systems for monitoring the stability of large model systems, ensuring high reliability and performance.

- Handle super large-scale cluster management and ensure efficient operation and maintenance of large model systems.

Qualifications

Minimum Qualifications

- B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions with R&D experience in the fields of cloud computing or large-scale model systems.

- Proficiency in cloud-native technologies and understanding of the relevant technology stack.

- Expertise in one of the following programming languages: Golang, Python, or Java, with the ability to use it proficiently in a professional setting.

- Familiarity with cloud-native technologies for log collection, monitoring, and alerting.

Preferred Qualifications:

- Prior experience in the construction and maintenance of stability systems for large-scale infrastructures.

- Experience in operating and maintaining large-scale systems.

- Experience with infrastructure as code, particularly Terraform, is highly desirable.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance's sponsorship of a visa.

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok and Helo as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The Applied Machine Learning (AML) - Enterprise team provides machine learning platform products on VolcanoEngine with cloud native resource scheduling system which intelligently orchestrates different tasks and jobs with minimised costs of every experiment and maximised resource utilisation, rich modelling tools including customised machine learning tasks and web IDE, and multi-framework high performance model inference services.

In 2021, through VolcanoEngine, we released this machine learning infrastructure to the public, to provide more enterprises with reduced costs of computation power, lower barriers to machine learning engineering and deeper developments in AI capabilities.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

Responsible for Ark Large Model Platform development on Volcano Engine, researching systematic solutions on large model solution implementations and applications in various industries, striving to reduce the IT cost of large model applications, meeting the users' ever-growing demand for intelligent interaction and improving the lifestyle and communications of users in the future world.

- Research, design, and develop computer and network software or specialised utility programs.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications

Minimum Qualifications

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, Electrical Engineering or a related technical discipline.

- Familiar with developments and operations of distributed systems under Linux platform.

- Proficient with at least 2 or more programming languages such as Golang / Python / C / C++ / Java / Scala / Javascript. ACM ICPC / Codeforces winners are preferred

- Excellent in technical design and coding skills. Able to balance technical perspectives with product sense, hardware performance & stability and team cooperation.

- Experienced or interested in at least one of the following topics:

1. Machine Learning Application: had experience in developments or implementations in data, model training, inference, application in various machine learning domains such as LLM / CV / NLP / Speech / Recommendation / Risk Control, etc.

2. LLM Application: dataset construction (conversations, RLHF, etc.), high performance finetuning (LoRA / P-Tuning / RLHG), model inference and deployment, applications (prompt engineering, retrieval augmentation, LangChain), new model exploration (LLama / Falcon / miniGPT4)

3. Cloud Computing: kubernetes application development (such as Operator), micro-service & service mesh, flow control, cloud storage, exploration of technology commercialization, Terraform and etc.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.

If you have any questions, please reach out to us at [email protected]

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the team

Our team aims to provide reliable and efficient delivery of web content by reducing the physical distance between the source of data and the end user. We're building a geographically distributed network of edge servers linked to the origin server to improve connectivity. Our work will help our users massively speed up website load time, high-quality video streaming, and file download time.

This team combines software and systems engineering to build and run large-scale, massively distributed infrastructures. Our engineers are tasked to ensure the infrastructure services are reliable, fault-tolerant, efficiently scalable and cost-effective. You will have the opportunity to manage a variety of complex systems at scale, including systems that administer hyperscale datacenters and public cloud, a global content distribution networks (CDNs) and load balancers that handles Tbps of traffic etc.

Responsibilities

1. Build, expand and operate CDN including CDN services and large-scale CDN platform which are running in public and private clouds and on-prem edge data centers;

2. Develop tools, automations, visualisations and monitors to facilitate the operation and optimisation of our CDN;

3. Be part of the team in supporting technical operations and customer support duty rotations regarding performance and reliability issues;

4. Participate in discussion on improving the whole lifecycle of infrastructure services from inception and design throughout development, to deployment, user support and refinement

Qualifications

1. Bachelor's degree or above majoring in Computer Science, Computer Engineering, Electrical Engineering or related fields;

2. Strong proficiency with Linux systems from kernel to shell and beyond with experience working with system libraries, file systems, and client-server protocols;

3. Proficiency in in one or more programming languages such as Go, Python and Shell scripting;

4. Familiar with Cloud and CI/CD framework/Tools, such as GIT, Docker, Kubernetes, etc;

5. Strong in analytical skills and demonstrated ability to solve real world problems in a fast moving environment;

6. Possesses a self-driven spirit, capable of coping with ambiguity and moving projects from concept to delivery;

Preferred qualifications

1. Experience in designing, analysing and building automation and tools for large scale systems;

2. Experience in building solutions with AWS, Google, Azure and other cloud services;

3. Experience in networking technologies such as TCP/IP, QUIC, HTTP and DNS;

4. Experience in developing and operating one or more of following systems: Kubernetes, NGINX, DPDK, ELK stack, ISTIO etc.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.