What this job can offer you

The Payroll Specialist Lead - China payroll is a critical role within Remote’s dynamic global payroll organization. Nestled within our EOR and Payroll Operations Team, this role is responsible for delivering accurate, compliant payroll operations within assigned countries while also contributing to the improvement and scalability of our global payroll processes.

You will work closely with internal stakeholders across Payroll Operations, Tax, Finance, Product and Customer Success, while coordinating with diverse payroll partners where applicable.

This role is well suited for a mid-to-senior career payroll ops professional who has deep hands-on experience running payroll in complex environments and is comfortable operating in globally distributed teams.

What you bring

• Brings meaningful mid-senior career experience in Pakistani payroll operations, including hands-on responsibility for end-to-end payroll processing in Pakistan
• Has managed payroll in multi-country environments or global organizations, with exposure to different payroll systems and local regulatory frameworks.
• Demonstrates strong understanding of payroll controls, reconciliations, statutory reporting, and compliance requirements.
• Comfortable working with internal and external stakeholders in Remote’s payroll ecosystem, and coordinating cross-functional stakeholders.
• Analytical and detail-oriented, with strong problem-solving skills and the ability to manage complex payroll scenarios.
• Strong written and oral communicator, comfortable working in asynchronous and globally distributed environments.
• Takes ownership of outcomes, raises risks early, and approaches operational challenges with curiosity and accountability.
• Comfortable working in scrappy, quick-moving start-up environments.
• Proficient in payroll tools and data analysis using in-house and external platforms
• Experience working in remote or globally distributed teams is an advantage.
• Demonstrates strong fluency in English; additional languages are a plus.

Key Responsibilities 

• Ensure payroll is processed accurately, on time, and in compliance with country-specific regulations and statutory requirements.
• Own end-to-end payroll execution for assigned jurisdictions, including validation of payroll inputs, payroll calculations, and post-payroll processes.
• Act as a subject matter expert on country payroll requirements, staying up to date with legislative, tax, and regulatory developments that may impact payroll operations.
• Support the operational implementation and rollout of payroll services in new or expanding jurisdictions, ensuring payroll execution processes are effectively integrated into operational workflows.
• Serve as a key point of coordination for internal teams and external stakeholders on country payroll matters.
• Identify and resolve payroll discrepancies, operational risks, or compliance issues, exercising sound judgment when escalating complex matters.
• Contribute to the continuous improvement of payroll operational processes, identifying opportunities to streamline workflows and improve operational transparency.
• Support the development and maintenance of payroll documentation and operational knowledge to ensure processes remain clear, scalable, and aligned with internal governance requirements.
• Partner with cross-functional teams to support system enhancements, statutory updates, and operational improvements impacting payroll.
• Contribute to the adoption of automation and AI-enabled tools that improve payroll operational efficiency, accuracy, and scalability.
• Participate in testing activities related to payroll system developments, enhancements, and process improvements to ensure operational readiness.

Practicals

• You'll report to: Manager, Payroll Operations
• Team: Global Payroll Operations
• Location: APAC
• Start date: As soon as possible

Application process

1. Interview with recruiter
2. Interview with team members (no managers present)
3. Interview with future manager
4. Bar Raiser Interview
5. Prior employment verification check 

【About the role】

We are seeking a Data Analyst Intern in Taiwan that will be part of a product R&D team. The role will perform data analysis to help Appier teams to answer business or operational questions.

We are seeking potential candidates who can commit to 2-3 days a week and participate in the internship for a minimum of 6 months, starting immediately. Please ensure that you have checked your availability before applying.

【Responsibilities】

• Interpret trends or patterns from complex data sets by using statistical and visualization tools.
• Conduct data analysis reports to illustrate the results and insight
• Working with scientists and engineers to monitor and diagnose the system
• Develop tools and systems that optimize analysis process efficiency and report quality.

【About you】

[Minimum qualifications]

• Senior students in college or graduate students in related field
• Good analytical skills to extract meaningful insights from the data.
• Good ability to communicate data analysis insight to audiences with different backgrounds.
• Proficient oral and written communication skills in English.
• Analytical skills and tools: Statistics knowledge and skills, using SQL to do basic data extraction and aggregation, Spreadsheet/Excel.
• Machine Learning skills: sufficient know-how of machine learning and basic experience of using machine learning tools.
• Programming skill: can write Python scripts for simple job automation.

 [Preferred qualifications]

• Working experiences in digital advertising industries.
• Hands-on experience in utilizing analytic/visualization tools (SQL, R, Tableau).
• Advanced Python programming: e.g. able to do complex analysis using Python.
• Experience in writing Spark programs for data analysis.

What You'll Do

• Oversee key EVT, DVT and PVT build milestones at our JDM R&D and factory facilities. Leverage your engineering expertise to de-risk NPI builds and expedite technical troubleshooting independently. 
• Own manufacturing readiness, line bring up, and FATP problem solving for a complex set of electromechanical products within one of Verkada’s newest product lines. 
• Guide material readiness, fixture/jig readiness, and other clear to build efforts in advance of FATP. Coordinate between JDM manufacturing partners and internal firmware team to assess FATP flow, test coverage, fixture/equipment plans and associated test limits.
• Work closely with EE, ME and FW teammates (in both the US and Taiwan) to solve a variety of end to end NPI challenges from early design development efforts to later stage validation & compliance challenges.
• Work closely with EPM teammates to drive vendors towards aggressive schedules and ambitious objectives; hold our manufacturing partners accountable & communicate status updates clearly to EPM counterparts & the broader team. 
• Serve as a key point of contact for an international network of manufacturing partners.

What You Bring

• B.S. in Electrical Engineering 
• Strong technical knowledge of electromechanical design, validation and manufacturing test and test fixture development. 
• 5+ years of experience developing and manufacturing new electronics products.
• Direct exposure to manufacturing of audio & video related products is a plus. 
• Must have completed at least two full hardware development cycles through product launch with direct (in person) exposure to FATP
• Excellent organizational skills and written and verbal communication
• Fluency in both Mandarin and English 
• Flexible and adaptive in a fast-paced startup environment
• Ability to travel internationally up to 30%

【About the role】

We are looking for an experienced EE Consultant to serve as a key technical partner across design, quality, and product teams, helping define DQA standards and drive critical electrical design decisions. In this role, you will work closely with internal teams and ODM/CM partners to ensure robust hardware performance from prototype to mass production.

【 Who you are 】

• 10+ years of R&D experience in Surveillance or IoT Camera design.
• Proficient in power circuitry design with advanced troubleshooting and problem-solving skills.
• Deep knowledge of EMI / EMC / ESD; capable of risk assessment, design review, and debugging.
• Proven experience collaborating with ODMs and Contract Manufacturers.
• Able to commit ~16 hours per week during the project initiation phase (3-6 months).

【 What you'll do 】

• Define and optimize DQA (Design Quality Assurance) criteria and technical standards.
• Lead Electrical Design Reviews and drive technical decision-making in discussions.
• Oversee build stages from P0 through MP:
• Conduct internal validation and audit ODM technical reports.
• Perform troubleshooting and propose actionable hardware solutions.
• Execute RMA analysis to identify root causes and preventive measures.

Tenstorrent is seeking an Advanced Packaging Process Engineer with experience in 2.5D and 3D chiplet packaging to join Tenstorrent’s Packaging team. You will drive advanced package technology and reliability in close partnership with foundries and OSATs, helping push performance and manufacturability for next‑generation AI/ML products.

This role is hybrid, based out of Santa Clara, CA or Taipei City, TW.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who you are 

• Advanced packaging engineer with hands-on 2.5D/3D experience (CoWoS-R/L, FOCoS, EMIB, FCBGA, organic substrates, silicon interposers, embedded Si/eCB, micro-bumps, BGAs).
• Strong in reliability and failure analysis for advanced packaging, including qualification, root cause analysis, and corrective actions.
• Deep understanding of process flows and materials (polyimide, ABF, core, underfill, mold compound) and their interactions (warpage, stress, delamination, mechanical risk).
• Proven track record working with foundries/OSATs on NPI, design rules, excursions, yield/cost optimization, and production ramp, with clear communication and cross-functional collaboration.

What we need 

• Own advanced package technology implementation for 2.5D/3D chiplet products, including technology choices, process integration, and manufacturability.
• Act as primary technical interface to foundries/OSATs: align capabilities and design rules, manage excursions, drive yield, define/track test vehicles, and coordinate FA.
• Partner with design, reliability, and architecture teams to evaluate tradeoffs (bump pitch, stack-ups, embedded Si, etc.) and lead test vehicle planning to meet program needs.
• MS/PhD in a relevant field (Materials, Mechanical, Electrical, Physics, or related) and 5+ years in advanced packaging for high-performance semiconductors from NPI through production (2.5D/3D flows such as CoWoS, FOCoS, EMIB, FCBGA or equivalent).

What you will learn 

• Deeper exposure to leading-edge 2.5D/3D packaging for high-performance AI/ML and chiplet-based architectures.
• How to balance performance-driven architecture with mechanical and reliability constraints to make robust package technology decisions.
• Ways to use AI- and automation-driven methods to accelerate risk assessment, qualification planning, and technical documentation.
• Best practices for building strategic OSAT and foundry partnerships that enable new capabilities while scaling reliable high-volume production.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Description

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar commerce industry. We are one of the fastest-growing retail companies that established an unparalleled reputation for being a leading and reliable force in the commerce industry.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. At Coupang, every day is filled with the excitement of building, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and challenge traditional tradeoffs. Join Coupang now to create an epic impact in this always-on, high-tech, and hyper-connected world.

Position: Manager II, Product Data Analytics - CX

As a product analyst, you will be responsible for providing reports and insights that aid in management to ensure top-notch customer experience. By collecting the tens of billions of data points that are created as millions of customers use Coupang’s services, Product Analytics creates meaningful insights, seeks answers to complex business questions, and enables a better understanding of customer behavior.

What You Will Do:

• Create and provide new customer experience metrics and insights to ensure the best shopping experience for our customers.

• Collaborate with product managers, designers, program managers, engineers, and other stakeholders to make data-driven decisions.

• Create and manage weekly/monthly/quarterly business reports and work together with other teams to capture quality insights and present them to our stakeholders and leadership.

• Expert thought leadership as an ecommerce and fulfillment service analyst.

Qualifications :

• Experiencing working in Fraud domain is a plus

• Expert SQL knowledge, with 7+ years’ work experience in data analytics

• Experience in providing clear and actionable plans by analyzing data and insights

• Ability to take work into your own hands with a sense of responsibility and exercise judgment to act in fast-paced and dynamic environment

• Great ability to think critically and solve nonstructural problems

• Strong communication skills to share analysis results clearly and concisely

• Experience with big data tools like Hadoop, Spark, and Presto

• Experience with BI tools like Power BI or Tableau

• Bachelor’s degree in statistics or computer engineering or equivalent experience

Preferences : 

• Experience with Python and R/SAS, or other statistical packages

• Experience in working with version control (Git, SVN, etc.)  

• Well diverse in or comfortable with learning new modern data tools 

• Master’s degree in statistics or engineering or equivalent experience

• Experience analyzing e-commerce and customer behavior logs

• Strong English skill (both verbal and written) is a plus

Description

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar commerce industry. We are one of the fastest-growing retail companies that established an unparalleled reputation for being a leading and reliable force in the commerce industry.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. At Coupang, every day is filled with the excitement of building, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and challenge traditional tradeoffs. Join Coupang now to create an epic impact in this always-on, high-tech, and hyper-connected world.

Position: Manager II, Product Data Analytics - CX

As a product analyst, you will be responsible for providing reports and insights that aid in management to ensure top-notch customer experience. By collecting the tens of billions of data points that are created as millions of customers use Coupang’s services, Product Analytics creates meaningful insights, seeks answers to complex business questions, and enables a better understanding of customer behavior.

What You Will Do:

• Create and provide new customer experience metrics and insights to ensure the best shopping experience for our customers.

• Collaborate with product managers, designers, program managers, engineers, and other stakeholders to make data-driven decisions.

• Create and manage weekly/monthly/quarterly business reports and work together with other teams to capture quality insights and present them to our stakeholders and leadership.

• Expert thought leadership as an ecommerce and fulfillment service analyst.

Qualifications :

• Experiencing working in Fraud domain is a plus

• Expert SQL knowledge, with 7+ years’ work experience in data analytics

• Experience in providing clear and actionable plans by analyzing data and insights

• Ability to take work into your own hands with a sense of responsibility and exercise judgment to act in fast-paced and dynamic environment

• Great ability to think critically and solve nonstructural problems

• Strong communication skills to share analysis results clearly and concisely

• Experience with big data tools like Hadoop, Spark, and Presto

• Experience with BI tools like Power BI or Tableau

• Bachelor’s degree in statistics or computer engineering or equivalent experience

Preferences : 

• Experience with Python and R/SAS, or other statistical packages

• Experience in working with version control (Git, SVN, etc.)  

• Well diverse in or comfortable with learning new modern data tools 

• Master’s degree in statistics or engineering or equivalent experience

• Experience analyzing e-commerce and customer behavior logs

• Strong English skill (both verbal and written) is a plus

The role

Nebius is looking for a Regional Supply Chain Security Manager to lead and oversee the protection of high-value assets across our supply chain operations in Taiwan and the broader Asia-Pacific region.

This role holds end-to-end ownership of supply chain security across the region, covering transportation, warehousing, and last-mile delivery of critical infrastructure. The Regional Manager is responsible for defining and executing regional security strategy, managing risk across a complex logistics network, and leading response to security incidents.

This is a high-impact leadership role operating at the intersection of security, logistics, and operations, with direct influence on the resilience and integrity of Nebius’ infrastructure deployment in the region.

You’re welcome to work in our offices in Taiwan.

Your responsibilities will include: 

• Own and lead supply chain security across Taiwan and regional operations, with full accountability for risk and performance
• Serve as the primary authority and escalation point for all supply chain security matters in the region
• Define, implement, and continuously evolve regional security standards, controls, and procedures aligned with global policies
• Drive regional security strategy, ensuring scalability and alignment with business growth
• Ensure the secure transportation, storage, and handling of high-value assets across all supply chain nodes
• Oversee logistics operations including transportation routes, warehousing, and delivery activities
• Establish and enforce security requirements across logistics partners, including Third-Party Logistics providers (3PLs), carriers, and vendors
• Conduct comprehensive risk assessments and implement mitigation strategies across the supply chain
• Oversee and, when required, directly support the deployment, installation, and validation of supply chain security technologies across origin points and operational sites

Stakeholder Engagement

• Partner closely with logistics and infrastructure teams to ensure alignment and efficiency
• Manage relationships with external partners, including warehouses, carriers, and 3PL providers

Operational Scope

• Oversight of a geographically distributed supply chain network across Taiwan and regional operations
• Regular engagement with logistics partners and vendors across multiple tiers
• Travel within Taiwan and the Asia-Pacific region as required
• Hands-on involvement in field activities as required, including deployment, installation, and validation of security technologies at origin points and operational sites

We expect you to have: 

• Fluency in Mandarin and English (both written and spoken) is required
• Experience in supply chain security, logistics security, or operational risk management
• Proven experience owning and managing security or operations across a regional or multi-site environment
• Experience working with logistics providers, including 3PLs, freight forwarders, and carriers
• Proven leadership and people management experience, including building and leading high-performing teams
• Strong sense of ownership and ability to operate independently with full regional accountability
• Strong stakeholder management and communication skills across internal and external partners
• Familiarity with supply chain security technologies (e.g., GPS tracking, monitoring systems, data tools)
• Willingness to travel within Taiwan and the Asia-Pacific region as required

It will be an added bonus if you have: 

• Experience in high-value or critical infrastructure supply chains (e.g., data centers, electronics, technology hardware)
• Background in law enforcement, military, or corporate security
• Experience working in a global organization with cross-regional coordination
• Advanced knowledge of regional logistics networks and risk landscape in Asia-Pacific

Operational Expectations

• This role includes responsibility for leading response to critical supply chain security incidents, which may occur outside standard working hours
• Operates within a global environment requiring coordination across multiple time zones
• Primarily a leadership and strategic role, with accountability for regional outcomes and performance

Regional Sales Executives will work closely with Field Sales Engineers (FAEs) and the sales management team to develop and execute an account strategy to effectively engage with leading cloud service providers on Astera Labs’ portfolio of connectivity products.

Responsibilities

• Develop a customer specific sales plan that identifies revenue generating opportunities and outlines steps to effectively develop relationships within key influencers in R&D, Procurement, Executive level GM/CTO
• Drive sales efforts by teaming up with FAEs engaging with customers to provide roadmap updates, technology training, product sampling, technical support and gather customer forecasts
• Be a strong voice for your customers to communicate their product roadmap feedback, customer support issues and to drive a timely response from Astera Labs HQ
• Establish regular communication with your customer’s procurement, ODM ecosystem and other industry partners to be able to accurately forecast your region’s quarterly revenue and annual demand forecast

Qualifications

• Bachelor’s degree, preferred electrical/computer engineering and MBA.
• 5+ years’ experience selling complex SoC/silicon products to Cloud Services Providers, Server or Network OEMs
• Demonstrated ability to prepare and execute customer account plans to win complex silicon design wins that contribute significant revenue growth
• Established relationships with some of our key target customers including Cloud Service Providers, Server, Storage & Networking OEMs
• Excellent communication and project management skills
• Entrepreneurial, open-minded behavior and can-do attitude. Think and act with the customer in mind!
• Familiar and at least 3+ years working experience with Taiwan Data Center ODMs like Quanta, Wistron, Wiwynn, Foxconn, and Inventec's supply chain management

Your base salary will be determined based on your experience and the pay of employees in similar positions

We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.

Job Description:

We are seeking an experienced leader to drive Supplier / Manufacturing Quality Engineering to anchor our global supplier quality efforts across both Astera Lab’s semiconductor and board-level products. In this role, candidates will drive leading supplier quality across key manufacturing partners including IC fabs, OSAT’s, and PCB/PCBA vendors. A strong foundation in supplier quality engineering, uniquely paired with experience in advanced data analytics (including AI and machine learning) for predictive quality, risk assessments, and product quality analytics will be highly valuable to this role.

Responsibilities:

Supplier Quality Management

· Nurture winning partnerships across all our strategic manufacturing suppliers: semiconductor wafer fabs, advanced packaging & test (OSAT), boards & assemblies (PCB / PCBA / SMT), substrates / interposers, probe cards, and passive components.

· Develop robust supplier selection and onboarding processes in collaboration with Design, Procurement, Business & Engineering Operations teams.

· Define, build, and manage the systems to collect the data (KPI’s) needed to track supplier performance and drive continuous improvement.

· Audit to assess the effectiveness of supplier process controls, manufacturing capabilities, and overall quality management system.

· Coach suppliers by sharing your deep manufacturing experience and knowledge.

· International travel as needed, potentially on short notice. There is no minimum amount but prepare to accommodate up to 20%.

Advanced Data Analytics & AI/ML

· Create data collection methods to enable product and supplier advanced data analytics needed for monolithic, chiplet, and board products. Data sources will include manufacturing inline controls, production test (including data collection from advanced embedded agents), and failure analysis activities.

· Leverage data into quality models & methods to predict product quality issues and supply chain risks.

· Integrate AI/ML tools into quality systems and dashboards (e.g., outlier screening, automated defect detection, trend analysis, real-time alerts).

· Experience with AI/ML tools is a plus but not required; ability to work with technical partners on model development is key.

Cross-functional Collaboration

· Interface with R&D, NPI, product engineering, ops and other engineering teams to provide supplier input into product design and DFX.

· Support early supplier involvement and ensure quality requirements needed for manufacturability & testability are achieved, and learnings are propagated appropriately to other products in production & development.

· Represent supplier quality as needed in line failure reviews, excursion management, material reviews (MRB), and CAPA processes.

· Partner with engineering and manufacturing teams to conduct quarterly engineering reviews, evaluate supplier changes (PCN), and assess supplier risks.

· With engineering engagement, lead quality audits, and corrective action activities using tools such as 8D, 5-why, and FMEA.

Education & Experience

· Bachelor’s or Master’s degree in Engineering or equivalent experience.

· 8+ years of career progression in supplier quality engineering in the semiconductor and/or board-level electronics industry.

· 3+ years direct experience working embedded within a high-volume advanced manufacturing operation in an engineering role.

· Experience with supplier development in Asia with global manufacturing supply chains.

· Six Sigma or ASQ certification a plus

Technical Skills

· Strong knowledge of IC fabrication, packaging (including chiplet), board assembly (SMT), and test processes.

· Familiarity with reliability qualification methodologies in the application of IPC, Telcordia, JEDEC requirements.

· Proficiency with quality engineering tools (FMEA, APQP, PPAP, SPC, OE, etc.).

· Experience using analytics tools (e.g., JMP, SQL, Excel) to support quality insights. Exposure to AI/ML frameworks is a plus, but not required.

· Fluent in English and Mandarin

Realize your potential by joining the leading performance-driven advertising company!

As a Algorithm Engineer on the R&D Team in our Taipei office, you’ll play a vital role in developing cutting-edge machine learning models that power personalized content recommendations for over 1 billion users worldwide. You’ll research, build, and deploy AI-driven solutions that enhance user engagement and drive business growth.

To thrive in this role, you'll need:

• Master’s degree in CS/CE, EE, Physics, Applied Mathematics, or a related field (Ph.D. is a plus).

• 1+ year of full-time work experience (or 3+ months internship for fresh graduates) in data science.

• 3+ years of programming experience in Python, Java, or Scala.

• Hands-on experience with machine learning frameworks like PyTorch or TensorFlow.

• Strong SQL and database skills for data extraction and analysis.

Bonus points if you have:

• Experience in content understanding or behavioral prediction models.

• Knowledge of optimization algorithms for business applications.

How you’ll make an impact:

As a Algorithm Engineer, you’ll bring value by:

• Researching and proposing data-driven solutions for personalization and targeting.

• Building and deploying machine learning models to enhance content recommendations.

• Developing optimization algorithms to meet key business objectives.

• Creating and maintaining data pipelines for ML model training and evaluation.

• Collaborating with product and engineering teams to productionize AI solutions.

• Presenting insights and model performance to stakeholders in a clear, actionable way.

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you they’ve been empowered to realize their full potential while growing and learning from smart, talented peers. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO, says: “You can copy anything from another business, but you can’t copy a company’s culture.”

• Well-being: Enjoy comprehensive benefits, a fully stocked kitchen, and location-specific perks.

• Flexibility: Hybrid work model with 3 days in-office and the option to come in more often if desired.

• Work with the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer. We value diversity and are committed to fostering an inclusive environment. Employment is based on qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

#LI-MT1

At Optiver, we continuously refine how we price, execute, and manage risk. The discipline and rigour we apply to these problems form a key part of our competitive edge. As we expand and strengthen our presence in Asian markets, we are looking for an experienced Options Trader to join our Taiwan-focused trading team.
You will play a key role in trading Taiwan index and equity options (e.g. TXO), working in a highly collaborative environment with access to best-in-class systems, deep liquidity, and a progressive risk appetite. Alongside trading, you will contribute to improving our strategies, execution quality, and system robustness in a fast-paced, automated trading environment.

What you’ll do:

• Actively trade Taiwan index and equity options, managing positions and risk in real time
• Analyse market flows, volatility dynamics, and microstructure to identify and capture trading opportunities
• Continuously refine pricing, execution, and risk management approaches to improve trading performance
• Conduct post-trade analysis to evaluate decisions, optimise strategies, and drive systematic improvements
• Contribute to the development of tools, monitoring, and processes that enhance trading stability and scalability
• Maintain clear and timely communication with internal stakeholders including but not limited to researcher, risks and developers during live trading and high-pressure situations

Who you are:

• Proven experience as an Equity or Index Options Trader, with exposure to Taiwan markets (e.g. TXO) or similar equity derivatives
• Strong track record of trading performance and disciplined risk management
• Deep understanding of options theory, volatility, and market microstructure
• Comfortable trading both systematically and with discretion when required
• Decisive under pressure, with the ability to quickly diagnose and act on trading problems
• Highly analytical, detail-oriented, and proactive in identifying improvements
• Strong communicator who thrives in a collaborative, team-based environment
• Passionate about markets, with a continuous drive to learn and improve

Desirable:

• Experience working with or alongside automated/high-frequency trading systems
• Familiarity with exchange rules, market structure, and participant behaviour in Taiwan markets
• Coding skills (Python, R, or similar) and ability to analyse large datasets
• Exposure to multiple asset classes beyond equities

What you'll get:

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle some of the most complex problems in the financial markets.

In return for your expertise, you will have access to a range of Optiver perks, including:

• A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool, fostering a truly collaborative environment.
• The chance to work alongside diverse and intelligent peers in a rewarding environment.
• Training, mentorship and personal development opportunities.
• Daily breakfast, lunch and snacks.
• Gym subsidy and weekly in-house chair massages.
• Regular social events, including a company trip every two years.

Diversity statement

Optiver is committed to diversity and inclusion. We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process.

Questions? Get in touch with the recruitment team at careers@optiver.com.au

Company Introduction:

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview:

As a Manager, Analytics & Data Science (Growth Marketing), you will be responsible for leveraging data points to drive actionable insight and analysis. Work closely with Growth Marketing teams to deliver impact across the customer lifecycle. Come join us and help create a WOW experience for our customers.

This is a great opportunity to be part of a diverse, growing, and dynamic team with upward growth potential. You will be part of an early-stage international expansion team where you will get a broad end-to-end view of aggressive expansion of an e-commerce business. For this reason, we are looking for a hands-on Sr. Manager of Analytics & Data Science who is comfortable working in a fast-paced environment and delivering results with grit.

What You Will Do: 

• Understand business goals and formulate them as technical problems that can be solved through Analytics, Data Science, and BI reporting.
• Work as a player-coach to drive value for several Growth Marketing channels, including Paid, CRM, On-Site Merchandising, and Product.
• Partner closely with Growth Marketing teams to provide actionable insight and recommendations. Regularly present findings to leadership and stakeholders.
• Build and maintain automated dashboards and data pipelines. Create and automate new datasets for syndicated reporting
• Work with omnichannel attribution measurement frameworks that drive incrementality and customer growth. 
• Design and conduct experiments and A/B tests to measure marketing initiatives. Apply statistical rigor and causal inference to measure incrementality.
• Build ML models that help drive decision making and optimization. Partner closely with Data Science and Growth Marketing teams to deploy ML solutions that optimize data feeds and audience targeting.
• Spearhead technical excellence in Analytics, Data Science, and BI reporting.
• Establish processes that raise the bar for excellence, effectiveness, and efficiency, including documentation, data quality, code hygiene, and integration with AI tools.

Basic Qualifications

• Bachelor’s/Masters/PHD in math, statistics, computer engineering or any other quantitative disciplines, with 5+ years of relevant experience.
• Minimum 2+ years managing Analytics and/or Data Science teams focused on Growth Marketing. Experience managing and mentoring a team of Analysts and Data Scientists.
• Expert and hands-on experience using Python, SQL, R and visualization tools. Experience data mining a variety of large datasets, including weblogs, clickstream, and customer data.
• Experience with big data tools like Hadoop, Spark, and Presto
• Expert in experimentation and A/B testing. Strong knowledge of math, statistics, and causal inference techniques to measure incrementality.
• Expertise to conduct analysis independently for a business problem through data manipulation, formulation of hypotheses, design and statistical analysis of experiments to test them.
• Knowledgeable in data science and AI/ML, including regression, classification, decision tree, clustering, and deep learning models.
• Ability to write clear and concise technical documentation.
• Strong critical thinking skills and ability to solve nonstructural problems supported by solid knowledge of statistics and business domains.

Preferred Qualifications:

• 5+ years managing Analytics and/or Data Science teams focused on Growth Marketing in the e-commerce space
• Experience working with Growth Marketing teams and large-scale campaigns. Strong knowledge of advertising platforms such as Google and Meta. 
• Experience working with ML models that optimize digital marketing and CRM campaigns.
• Experience optimizing CRM campaigns that include push, email, SMS.
• Proving track record of delivering data product and models that optimize marketing operastions
• Proficiency in writing clean code within version-controlled environments
• Experience with Gen-AI workflows and LLMs a plus

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Coupang does not discriminate against disabled applicants or those with veteran status.
• We are proud to offer equal opportunities for all applicants.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

Company Introduction:

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview:

As a Manager, Analytics & Data Science (Growth Marketing), you will be responsible for leveraging data points to drive actionable insight and analysis. Work closely with Growth Marketing teams to deliver impact across the customer lifecycle. Come join us and help create a WOW experience for our customers.

This is a great opportunity to be part of a diverse, growing, and dynamic team with upward growth potential. You will be part of an early-stage international expansion team where you will get a broad end-to-end view of aggressive expansion of an e-commerce business. For this reason, we are looking for a hands-on Sr. Manager of Analytics & Data Science who is comfortable working in a fast-paced environment and delivering results with grit.

What You Will Do:

• Understand business goals and formulate them as technical problems that can be solved through Analytics, Data Science, and BI reporting.
• Work as a player-coach to drive value for several Growth Marketing channels, including Paid, CRM, On-Site Merchandising, and Product.
• Partner closely with Growth Marketing teams to provide actionable insight and recommendations. Regularly present findings to leadership and stakeholders.
• Build and maintain automated dashboards and data pipelines. Create and automate new datasets for syndicated reporting
• Work with omnichannel attribution measurement frameworks that drive incrementality and customer growth. 
• Design and conduct experiments and A/B tests to measure marketing initiatives. Apply statistical rigor and causal inference to measure incrementality.
• Build ML models that help drive decision making and optimization. Partner closely with Data Science and Growth Marketing teams to deploy ML solutions that optimize data feeds and audience targeting.
• Spearhead technical excellence in Analytics, Data Science, and BI reporting.
• Establish processes that raise the bar for excellence, effectiveness, and efficiency, including documentation, data quality, code hygiene, and integration with AI tools.

Basic Qualifications

• Bachelor’s/Masters/PHD in math, statistics, computer engineering or any other quantitative disciplines, with 5+ years of relevant experience.
• Minimum 2+ years managing Analytics and/or Data Science teams focused on Growth Marketing. Experience managing and mentoring a team of Analysts and Data Scientists.
• Expert and hands-on experience using Python, SQL, R and visualization tools. Experience data mining a variety of large datasets, including weblogs, clickstream, and customer data.
• Experience with big data tools like Hadoop, Spark, and Presto
• Expert in experimentation and A/B testing. Strong knowledge of math, statistics, and causal inference techniques to measure incrementality.
• Expertise to conduct analysis independently for a business problem through data manipulation, formulation of hypotheses, design and statistical analysis of experiments to test them.
• Knowledgeable in data science and AI/ML, including regression, classification, decision tree, clustering, and deep learning models.
• Ability to write clear and concise technical documentation.
• Strong critical thinking skills and ability to solve nonstructural problems supported by solid knowledge of statistics and business domains.

Preferred Qualifications:

• 5+ years managing Analytics and/or Data Science teams focused on Growth Marketing in the e-commerce space
• Experience working with Growth Marketing teams and large-scale campaigns. Strong knowledge of advertising platforms such as Google and Meta. 
• Experience working with ML models that optimize digital marketing and CRM campaigns.
• Experience optimizing CRM campaigns that include push, email, SMS.
• Proving track record of delivering data product and models that optimize marketing operastions
• Proficiency in writing clean code within version-controlled environments
• Experience with Gen-AI workflows and LLMs a plus

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.

• Coupang does not discriminate against disabled applicants or those with veteran status.
• We are proud to offer equal opportunities for all applicants.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

Company Introduction  

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview  

As the Senior Manager of Data Analytics, you will lead the intelligence engine for Coupang Taiwan’s Post-Purchase Experience, CS & Fraud. You will transform massive datasets into actionable strategies that reduce return defects, fraud, optimize customer service efficiency, and identify opportunities to improve return customer experience. You will lead a team of analysts to bridge the gap between "what happened" and "what we should do next."

What You Will Do 

• Strategic Insights: Lead the end-to-end analytics for the Returns and CS lifecycle. Identify root causes for high return rates (e.g., sizing issues, logistical damage, or fraud) and propose data-backed solutions.

• Predictive Modeling: Develop and oversee models to predict return propensity and customer lifetime value (CLV), helping the business proactively manage risk.

• Performance Measurement: Define and own the "North Star" metrics for the Taiwan CS organization, including First Contact Resolution (FCR), Net Promoter Score (NPS), and Cost per Contact.

• Stakeholder Influence: Act as a strategic partner to the PPE (Process, Policy & Engineering) and Logistics teams, using data to influence the product roadmap and operational SOPs.

• Team Leadership: Mentor and scale a team of high-performing data analysts, fostering a culture of technical excellence and business-first thinking.

• Dashboarding & Automation: Transition the organization from manual reporting to real-time, automated BI solutions (Tableau/Looker) that empower regional leads

Basic Qualifications  

• Experience：8+ years in Data Analytics, Business Intelligence, or Data Science (E-commerce or FinTech preferred).
• Technical Stack：Expert proficiency in SQL and Python/R. Deep experience with Tableau, PowerBI, or Looker, Prompt engineering, usage for LLMs for analytics.
• Statistical Skills：Strong grasp of A/B testing, regression analysis, and hypothesis testing.
• Leadership：3+ years of experience managing direct reports and leading cross-functional projects.
• Communication：Ability to translate "data-speak" into executive-level narratives in both English and Mandarin.

Details to Consider 

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 

Privacy Notice​ 

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/​ 

Role Overview

Business Analysts (BA) shine in Coupang's various business and operational organizations where data-driven decision making is important. Our large amount of data is transformed into meaningful information and insights by BAs in each organization (Marketing, Logistics, Shipping, Compliance, Finance, etc.).

You'll be part of our growth and have the opportunity to develop your career!

* Meet the Coupang Business Analyst

What You Will Do 

• Support business decisions with data
• Improve existing processes and develop and manage new metrics 

Basic Qualifications

• Minimum 3 years of data analytics experience
• Proficient SQL experience and competence (SQL coding test required)
• Experience in business intelligence reporting and dashboarding using Tableau or Power BI
• Able to multi-task with judgement in prioritising work to meet the fast-paced business environment

Preferred Qualifications

• Experience working in the e-commerce or internet services industry
• Experience with Python, R or other programming languages

* Application documents: English CV (required)
** The experience needed for each role varies. After receiving your CV, we will offer suitable positions to candidates based on their experience and skills.

Recruitment Process and Others  

Recruitment Process  

• Application Review - SQL Test - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. 

Details to Consider 

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 

Privacy Notice​ 

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/​ 

Company Introduction  

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview  

As the Senior Manager of Data Analytics, you will lead the intelligence engine for Coupang Taiwan’s Post-Purchase Experience, CS & Fraud. You will transform massive datasets into actionable strategies that reduce return defects, fraud, optimize customer service efficiency, and identify opportunities to improve return customer experience. You will lead a team of analysts to bridge the gap between "what happened" and "what we should do next."

What You Will Do 

• Strategic Insights: Lead the end-to-end analytics for the Returns and CS lifecycle. Identify root causes for high return rates (e.g., sizing issues, logistical damage, or fraud) and propose data-backed solutions.

• Predictive Modeling: Develop and oversee models to predict return propensity and customer lifetime value (CLV), helping the business proactively manage risk.

• Performance Measurement: Define and own the "North Star" metrics for the Taiwan CS organization, including First Contact Resolution (FCR), Net Promoter Score (NPS), and Cost per Contact.

• Stakeholder Influence: Act as a strategic partner to the PPE (Process, Policy & Engineering) and Logistics teams, using data to influence the product roadmap and operational SOPs.

• Team Leadership: Mentor and scale a team of high-performing data analysts, fostering a culture of technical excellence and business-first thinking.

• Dashboarding & Automation: Transition the organization from manual reporting to real-time, automated BI solutions (Tableau/Looker) that empower regional leads

Basic Qualifications  

• Experience：8+ years in Data Analytics, Business Intelligence, or Data Science (E-commerce or FinTech preferred).
• Technical Stack：Expert proficiency in SQL and Python/R. Deep experience with Tableau, PowerBI, or Looker, Prompt engineering, usage for LLMs for analytics.
• Statistical Skills：Strong grasp of A/B testing, regression analysis, and hypothesis testing.
• Leadership：3+ years of experience managing direct reports and leading cross-functional projects.
• Communication：Ability to translate "data-speak" into executive-level narratives in both English and Mandarin.

Details to Consider 

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 

Privacy Notice​ 

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/​ 

ABOUT THE ROLE

The Reliability Engineer will be working with the Peloton Hardware Design and Operations teams to lead our new product qualification testing and on-going reliability testing in a fast-growing global fitness business. You will lead Projects, troubleshoot, innovate, and make decisions to help Peloton ensure quality and safety as we continue to innovate our product offerings. You are an individual who is independent, highly motivated, super organized, hyper-flexible and enjoys working in a collaborative team environment to improve product quality.

YOUR DAILY IMPACT AT PELOTON

• Participate the activity to build and maintain test plans for new product development and sustaining engineering activities, including sample size estimation and reliability goal
• Perform product validation and verification with off-the-shelf testing equipment as well as custom built machinery
• Manage ODM/OEM partners’ lab and third party lab to complete test task with their own test resource
• Participate test development projects to design, build, and automate custom test rigs/fixtures to interact with various pieces of exercise equipment
• Assist Validation lead to deliver Validation status and results regularly to facilitate tracking the progress with cross functional team
• Assist Validation lead to summarize Validation result with field failure rate estimation to help cross-functional team understand the margin impact
• Correspond with NY and Seattle based team with test reports and status updates , which will require morning/evening calls
• Collaborate with technicians for various testing activities
• Actively perform preliminary root cause/failure analysis to collaborate with & drive cross functional team to resolution
• Work with Validation lead to utilize statistical tools to compile the result into impact to real world application
• Work multi-functionally with other departments and capture the specific scope of request
• Standardize test documentation, including fixtures, test procedures, schematics and software program. Supervise and implement test processes and data flow
• Ensure safety protocols are followed & maintain lab equipment and inventory

YOU BRING TO PELOTON 

• 1 -3+ years relevant work experience of systematic product testing
• Education and/or equivalent work experience in Mechanical/Electrical Engineering - M.S. preferred
• Excellent communication skills, including Chinese, and English (Taiwanese preferred)
• 3D Modeling (Solidworks). Ability to read/create mechanical drawings 
• Statistical Analysis (Python, R, Minitab) is a huge plus
• Automation Skills (LabVIEW, or PLC programming experience) is a plus
• Familiar and experienced with JIRA, Confluence, and PLM system(Windchill) is a plus
• Six sigma certification preferred
• National Instruments LabVIEW certification preferred (CLAD, CLD, CLA)

#LI-CC2

#LI-CC2
#LI-Onsite

ABOUT THE ROLE

The Reliability Engineer will be working with the Peloton Hardware Design and Operations teams to lead our new product qualification testing and on-going reliability testing in a fast-growing global fitness business. You will lead Projects, troubleshoot, innovate, and make decisions to help Peloton ensure quality and safety as we continue to innovate our product offerings. You are an individual who is independent, highly motivated, super organized, hyper-flexible and enjoys working in a collaborative team environment to improve product quality.

YOUR DAILY IMPACT AT PELOTON

• Build and maintain test plans for new product development and sustaining engineering activities, including sample size estimation and reliability goal
• Perform product validation and verification with off-the-shelf testing equipment as well as custom built machinery. Lead the execution to keep the schedule on track
• Manage ODM/OEM partners’ lab and third party lab to complete test task with their own test resource
• Lead test development projects.Design, build, and automate custom test rigs/fixtures to interact with various pieces of exercise equipment
• Deliver Validation status and results regularly to facilitate tracking the progress with cross functional team
• Summarize Validation result with field failure rate estimation to help crossfunctional team understand the margin impact
• Correspond with NY and Seattle based team with test reports and status updates, which will require morning/evening calls
• Provide technical support to technicians for various testing activities
• Actively perform preliminary root cause/failure analysis to collaborate with & drive cross functional team to resolution
• Utilize statistical tools to compile the result into impact to real world application
• Work multi-functionally with other departments and prioritize work queues through scoping the request and capturing business impact
• Standardize test documentation, including fixtures, test procedures, schematics and software program. Supervise and implement test processes and data flow
• Ensure safety protocols are followed & maintain lab equipment and inventory

YOU BRING TO PELOTON

• 3- 5+ years relevant work experience of systematic product testing
• Education and/or equivalent work experience in Mechanical/Electrical Engineering - M.S. preferred
• Excellent communication skills, including Chinese, and English (Taiwanese preferred)
• 3D Modeling (Solidworks). Ability to read/create mechanical drawings
• National Instruments LabVIEW certification CLAD or practical automation project demonstrated
• Statistical Analysis (Python, R, Minitab)
• Automation Skills (LabVIEW, or PLC programming experience)
• Six sigma certification preferred
• Familiar and experienced with JIRA, Confluence, and PLM system(Windchill) is a plus

#LI-CC2

#LI-CC2
#LI-Onsitec

About the Internship   

Our Summer internship provides an experience in the fast-paced and exciting semiconductor industry. Our interns will work alongside industry projects and gain valuable insights into our core engineering roles. This program is designed to grow and shape the industry leaders of tomorrow, offering a chance to learn, develop and build the skills needed for a successful career in the semiconductor field.    

What to expect  

This position is a paid internship. The duration will be in Hsin-Chu (Hybrid Model). Our internship program is for students who are actively enrolled in a full-time academic program. Recent graduates seeking employment after graduation and not returning to school should apply for our Early Career opportunities.   

Job's mission

We are seeking a highly motivated Engineering Intern to support research and analysis of advanced CMOS transistor electrical behavior, with a focus on how channel materials, interfacial layers (IL), and High‑k Metal Gate (HKMG) stacks influence device performance and reliability. 

This internship centers on deep technical literature review and knowledge synthesis. The intern will analyze published research to understand the physical mechanisms and material–device interactions that govern electrical characteristics in advanced logic devices. The results will be consolidated into a structured knowledge base to support ongoing and future device and process development activities. 

This role is well suited for PhD students with strong backgrounds in semiconductor physics, device engineering, or materials science who are interested in advanced device architectures and gate stack engineering. 

What You Will Do 

• Conduct a structured review of academic journals and conference publications related to advanced CMOS devices 
• Analyze how channel material properties (e.g., band structure, strain, surface roughness, scattering mechanisms) impact:  
  • Carrier mobility 
  • Drive current and leakage 
  • Device reliability 
• Study the role of interfacial layers (IL) as thickness scales to sub‑nanometer regimes, including:  
  • Material quality and defect characteristics 
  • Trade‑offs between scaling, performance, and long‑term stability 
• Evaluate the impact of High‑k Metal Gate (HKMG) stacks, including:  
  • High‑k dielectric and metal gate material choices 
  • Gate leakage behavior and threshold voltage (Vt) tuning 
  • Dipole formation, oxygen vacancy effects, and process variability 
• Integrate findings across channel, IL, and HKMG to describe cross‑layer interaction effects on device performance 
• Organize and document findings in a clear, structured, and reusable format for technical discussion 

Deliverables 

• A comprehensive written report describing how channel materials, IL properties, and HKMG stacks influence electrical performance and reliability in advanced CMOS devices 
• A summary presentation suitable for technical reviews 
• A curated and organized database of analyzed literature 

What You Will Gain 

• Hands‑on experience analyzing state‑of‑the‑art and beyond‑CMOS device technologies 
• Deep exposure to device physics and gate stack engineering challenges at advanced technology nodes 
• Experience in translating academic research into insights relevant for industrial R&D 
• Close interaction with experienced engineers and researchers in advanced device and materials development 

What we are looking for

• Currently pursuing a PhD degree in:  
  • Electrical Engineering 
  • Materials Science 
  • Applied Physics 
  • Solid‑State or Semiconductor‑related disciplines 
• Strong foundation in semiconductor physics and device engineering 
• Ability to read, analyze, and synthesize complex technical literature 
• Strong written communication skills in English 

What sets you apart

• Background in CMOS device physics, gate stack engineering, or reliability 
• Familiarity with concepts such as mobility degradation, interface traps, high‑k dielectrics, or metal gate work function engineering 
• Prior research experience in device, materials, or process technology 

Benefits  

• As an intern, you will gain hands-on experience by working on industry-related projects, providing you with valuable exposure to real-world processes and the opportunity to apply your skills in a professional setting.  

• Learn from the Best: Get the chance to work alongside world-class engineers and industry leaders who are shaping the future of technology—your personal dream team of innovators!  

• Step into the Future: Dive into one of the fastest-growing industries on the planet. From AI to 5G, you'll be right at the heart of the tech revolution.  

• Hands-On with Cutting-Edge Tech: Experience the latest and greatest in semiconductor design, testing, and fabrication. You’ll be working with the coolest tools and gadgets out there.  

• Network Like a Pro: Meet and connect with brilliant minds from all over the world, and make friendships that could open doors to amazing future career opportunities.  

• Make a Real Impact: Work on groundbreaking projects that power everything from smartphones to self-driving cars. Your contributions will help shape tomorrow’s world.  

• Challenge Your Mind: Sharpen your problem-solving skills as you take on real-world challenges, pushing boundaries and thinking outside the box.  

About the Internship   

Our Summer internship provides an  experience in the fast-paced and exciting semiconductor industry. Our interns will work alongside industry projects and gain valuable insights into our core engineering roles. This program is designed to grow and shape the industry leaders of tomorrow, offering a chance to learn, develop and build the skills needed for a successful career in the semiconductor field.    

What to expect  

This position is a paid internship. The duration will be in Hsin-Chu (Hybrid Model). Our internship program is for students who are actively enrolled in a full-time academic program. Recent graduates seeking employment after graduation and not returning to school should apply for our Early Career opportunities.   

Job's mission

We are seeking a highly motivated Engineering Intern to support early‑stage research and evaluation of Complementary FET (cFET) technology, an emerging advanced logic device architecture. 

This internship focuses on technology surveying, literature analysis, and knowledge synthesis. The intern will conduct a structured review of academic and publicly available industry research to develop a clear, well‑organized overview of the current cFET development landscape. The results will support technical discussions and future exploratory R&D work. 

This role is ideal for PhD students with a strong background in semiconductor devices, process integration, or related research fields who are interested in advanced logic technology beyond the state of the art. 

What You Will Do 

• Conduct a systematic review of cFET‑related information from:  
• Academic journals and conference proceedings 
• Patents and publicly available industry sources 
• Organize and synthesize fragmented information into a structured technical knowledge base 
• Identify key technology trends, including:  
• Device concepts and material approaches 
• Integration strategies and reported demonstrations 
• Performance targets and scalability considerations 
• Analyze and summarize major technical challenges and development bottlenecks identified in the literature 
• Perform a high‑level scan of early industry and ecosystem signals, such as patents or collaborations 
• Prepare clear documentation and presentations that distinguish evidence‑based insights from areas of uncertainty 

Deliverables 

• A consolidated and well‑structured technology review report on cFETs 
• Structured summaries of technical trends and key challenges 
• Presentation materials suitable for technical discussions and evaluations 

What You Will Gain 

• Hands‑on experience evaluating an early‑stage, next‑generation semiconductor technology 
• Exposure to how advanced device concepts are assessed prior to major R&D investment 
• Opportunity to develop strong skills in technical analysis, literature review, and technology scouting 
• Experience working closely with senior engineers and researchers in advanced technology development 

What we are looking for

• Currently pursuing a PhD degree in Electrical Engineering, Materials Science, Physics, Semiconductor Engineering, or a related field 
• Fundamental understanding of semiconductor devices and/or process integration 
• Strong ability to read, analyze, and synthesize technical literature 
• Solid written communication skills in English 

What sets you apart

• Familiarity with advanced logic device architectures (e.g., GAA, 3D integration, CFET/cFET concepts) 
• Prior experience with research projects, literature surveys, or patent reviews 
• Strong analytical mindset and ability to organize complex technical information 

About the Internship   

Our Summer internship provides an  experience in the fast-paced and exciting semiconductor industry. Our interns will work alongside industry projects and gain valuable insights into our core engineering roles. This program is designed to grow and shape the industry leaders of tomorrow, offering a chance to learn, develop and build the skills needed for a successful career in the semiconductor field.    

What to expect  

This position is a paid internship. The duration will be in Hsin-Chu (Hybrid Model). Our internship program is for students who are actively enrolled in a full-time academic program. Recent graduates seeking employment after graduation and not returning to school should apply for our Early Career opportunities.   

Job's mission

We are seeking a highly motivated Engineering Intern to support early‑stage research and evaluation of advanced package technology.

This internship focuses on technology surveying, literature analysis, and knowledge synthesis. The intern will conduct a structured review of academic and publicly available industry research to develop a clear, well‑organized overview of the current Package development landscape. The results will support technical discussions and future exploratory R&D work.

This role is ideal for PhD students with a strong background in semiconductor package process, like 3DIC or 2.5D integration, or related research fields who are interested in advanced package beyond the state of the art.

What you will be working on

• Conduct a systematic review of package‑related information from: 
• Academic journals and conference proceedings
• Patents and publicly available industry sources
• Organize and synthesize fragmented information into a structured technical knowledge base
• Identify key technological trends, including: 
• Process concepts and material approaches
• Integration strategies and reported demonstrations
• Performance targets and extendibility considerations
• Analyze and summarize major technical challenges and development bottlenecks identified in literature
• Perform a high‑level scan of early industry and ecosystem signals, such as patents or collaborations
• Prepare clear documentation and presentations that distinguish evidence‑based insights from areas of uncertainty

Deliverables

• A consolidated and well‑structured technology review report on 3DIC
• Structured summaries of technical trends and key challenges
• Presentation materials suitable for technical discussions and evaluations

What You Will Gain

• Hands‑on experience evaluating an early‑stage, next‑generation semiconductor package technology
• Exposure to how advanced technology concepts are assessed prior to major R&D investment
• Opportunity to develop strong skills in technical analysis, literature review, and technology scouting
• Experience working closely with senior engineers and researchers in advanced technology development

What we are looking for

• Currently pursuing a PhD degree in Electrical Engineering, Materials Science, Physics, Semiconductor Engineering, or a related field
• Fundamental understanding of semiconductor package and/or process integration
• Strong ability to read, analyze, and synthesize technical literature
• Solid written communication skills in English 

Job's mission

What you will be working on

• Provide technical support to field engineers, technicians, and product support teams in diagnosing, troubleshooting, repairing, and debugging complex electro‑mechanical systems, computer hardware, and software.
• Act as the primary escalation point when first‑line and regional product support are unable to isolate or resolve technical issues.
• Perform in‑depth root cause analysis and proactively identify trends related to design, reliability, maintenance, and software defects; communicate findings to hardware design and software engineering teams.
• Support customer system installations and deliver advanced technical training to customers and internal teams for highly complex or sophisticated products.
• Lead and coordinate technical and administrative support activities at customer sites, including installation, corrective repair, preventive maintenance, and implementation of engineering change upgrades.
• Work cross‑functionally with R&D, manufacturing, quality, and service organizations to drive continuous improvement and product support readiness.
• Ensure accurate documentation is maintained, including service reports, escalation records, and system performance data.
• Customer-focused mindset with the ability to manage challenging situation.

What we are looking for

• Minimum 5 years of experience in semiconductor manufacturing or capital equipment support.
• Bachelor's degree in engineering required; Mechanical or Electrical Engineering preferred.
• Experience with with PECVD, CVD, PVD, or ALD deposition systems or dry etching systems.
• Proven experience providing expert‑level troubleshooting and understanding of deposition mechanisms, vacuum systems and plasma processes.
• Ability to operate effectively at an escalation level, influencing resolution across multidisciplinary global teams.
• Excellent communication and presentation skills, with the ability to clearly explain complex technical concepts to both technical and non‑technical stakeholders.
• Demonstrated customer‑centric approach with the ability to manage critical and time‑sensitive situations.
• Strong analytical, documentation, and coordination capabilities.
• Willingness to travel internationally up to 50% of the time to support customer installations, escalations, and training activities.

Sr Science & Technology Advisor, Taiwan (covering Taiwan and Korea)

About the Role:

As Sr. Science & Technology Advisor, you will be primarily responsible for accelerating the sales process and maximizing revenue for sales opportunities within Taiwan and Korea. Leveraging your scientific expertise and consultative skills, you will be a field technical expert and trusted scientific partner to customers in the region, whilst driving sales across the entire 10x portfolio to academic, government, private, industrial, biotech and biopharmaceutical accounts.

This is a remote role based in Taiwan (preferably within close proximity to an international airport).

What You Will Be Doing:

• Partner closely with the sales team to generate, qualify and close sales opportunities
• Collaborate with product management, R&D, applications, marketing, field sales, and distributors to develop and execute territory strategy and go-to-market activities
• Maintain accurate records and provide relevant information to support forecasting and business planning
• Gather and communicate competitive intelligence and market feedback to internal stakeholders
• Provide weekly, monthly and ad hoc business and activity reports as required
• Conduct technical and promotional seminars, trade shows, vendor events and related activities 
• Achieve assigned territory sales goals through field visits, virtual meetings, email and phone engagement
• Develop and execute account growth and market expansion plans in collaboration with the sales team
• Provide mentorship, training and scientific education to colleagues, distributors and customers as appropriate
• Participate in regional and global team initiatives

Minimum Requirements:

• Master’s degree in Biology, Molecular Biology, Biochemistry or equivalent
• Demonstrable experience in technical sales, marketing or field applications within life sciences
• Track record in meeting or exceeding sales targets in a consultative role 
• Demonstrated ability to deliver technical presentations effectively to varied audiences
• Professional fluency in English (written and spoken)
• Proven ability to build and maintain professional working relationships with both internal and external stakeholders
• Ability to travel up to 50% (including international travel and customer site visits)

Preferred Qualifications and/or Experience:

• PhD in a relevant life sciences discipline
• Experience in Single Cell, Spatial and/or Next-Generation Sequencing (NGS) 
• Working knowledge of Salesforce (or equivalent CRM platform)
• Additional language skills (ideally Mandarin Chinese and/or Korean)

#LI-KW1

#LI-REMOTE

【 About the role 】

Join Tomofun on our mission to bring joy and innovation to every pet lover in the world! As a pioneer in pet tech, we seek a strategic HR partner and fellow pet lover to manage the full talent funnel with a focus on our highly critical roles, including but not limited to technical (R&D) and digital marketing functions. 

You’ll leverage AI, automation, and data-driven analysis to streamline all recruitment and employer branding bottlenecks, ensuring we attract world-class talent who are also aligned with our pet-loving culture. You will also serve as a trusted advisor to line managers, guiding them on foundational HR best practices and policies to drive organizational impact. 

If you are driven by purpose, ready to make a significant impact on our global talent landscape and share our deep commitment to pets, come join our pack!

【 What you'll do 】

1. Strategic Talent Acquisition

• Lead the full-cycle recruitment process for highly critical technical (R&D) and digital marketing roles, ensuring a pipeline of world-class candidates.
• Identify bottlenecks and critical points in the talent acquisition process and leverage AI tools and automation to streamline sourcing, screening, and candidate management, achieving measurable efficiency growth.
• Drive strategic sourcing and attraction efforts across various online/offline channels, continuously exploring new approaches to engage passive talent.
• Partner with hiring managers to deeply understand workforce needs, define ideal candidate profiles, and ensure a streamlined, efficient hiring process.

2. Employer Branding

• Design and execute a comprehensive full-channel (online and offline) Employer Branding Strategy that authentically communicates Tomofun's culture, mission, and career value proposition to target talent pools.
• Implement automation in employer branding efforts, such as content distribution, social media scheduling, and candidate lead nurturing, to maximize reach and engagement with minimal manual effort.
• Cultivate a positive, engaging, and professional candidate experience throughout the entire recruitment and onboarding journey.

3. Talent & Organizational Impact (HRBP)

• Analyze key HR and recruitment metrics (e.g., time-to-hire, source-of-hire, automation ROI) to assess the effectiveness of initiatives and provide data-driven recommendations for continuous optimization.
• Guide and advise line managers on foundational HR policies, processes, and best practices, leveraging any prior HRBP knowledge or desire to grow in this area.

【Who you are】

• Minimum of 4-7 years of HR experience, with at least 5 years dedicated to recruitment.
• A minimum of 2 years of technical recruitment experience within the high-tech/software industry, specifically recruiting R&D (Engineering) and/or Digital Marketing talent.
• Proven track record in designing and implementing full-channel employer branding strategies.
• Demonstrated experience in implementing process automation and leveraging tools to enhance recruitment and/or marketing efficiency.
• Nice-to-have: Experience in an HRBP role or demonstrated knowledge/interest in exploring the HRBP function.
• Flexible, proactive, and resilient, thriving in a fast-paced, high-growth startup environment.
• Passionately aligned with Tomofun’s mission to innovate for pets and pet parents.

【 Perks 】

• The rare opportunity to work with an international team from Taiwan HQ and make an impact on a global scale
• Join a group of talents who have a passion to change pet parents and pet's lives through technology
• The freedom to voice yourself in an open, trusting and transparent working environment
• All-hands meetings to update entire organization on company goals, strategic directions and the opportunity to openly ask questions/give feedback
• Bring your furbabies to work in a pet-friendly office space designed to make your pet feel relaxed and comfortable
• Join our volunteer program. We are passionate about giving back to society.
• Various club activities to cultivate interests and have fun with Tomofuners after work!
• Comfortable and creative office with kitchen, sofa, and quiet areas. Everyone can find their ideal place to work!
• Afternoon tea time twice a month and monthly birthday parties. We celebrate all the happy moments together.

【 Benefits 】

• Flexible Time-off; work hard and take time off when you need it
• Flexible working hours and work-from-home once a week 
• Medical insurance and a free yearly health checkup
• Yearly health checkup subsidy for your pets
• Weekly grooming service for your fur babies
• 2 free Furbos for each full-time team member
• Internal training workshop and external training subsidy for you to expand your skill set and continuously learn and grow

#LI-HYBRID

Job Overview

We are looking for a Junior Web3 Research Analyst to support our team in assessing cybersecurity risks and providing consulting services for centralized wallet solutions and related technologies. In this role, you will analyze security vulnerabilities, assist in developing risk mitigation strategies, and contribute to client-focused research on Web3 and cybersecurity trends. This is an excellent opportunity to grow your expertise in Web3 security while working with a dynamic team of professionals. 

Location  

Taipei, Taiwan

Responsibilities 

• Conduct research and analysis on security risks related to centralized wallets, custody solutions, and other Web3 technologies. 
• Assist in performing security assessments and identifying vulnerabilities in Web3 infrastructure. 
• Support wallet security and cybersecurity consulting projects by providing technical insights and recommendations for clients. 
• Help create clear and concise reports, presentations, and whitepapers on cybersecurity and wallet security topics. 
• Stay updated on emerging Web3 security trends, best practices, and threat landscapes. 
• Collaborate with internal teams and external partners to deliver high-quality consulting services. 

Requirements 

• Bachelor’s degree in computer science, cybersecurity, or a related field (or equivalent practical experience). 
• Basic understanding of Web3 technologies, including centralized wallets, blockchain fundamentals, and cryptocurrency ecosystems. 
• Strong analytical and problem-solving skills with an ability to learn quickly. 
• Excellent written and verbal communication skills, with a focus on delivering clear and actionable insights. 
• Team player with a collaborative mindset and attention to detail. 

Plus 

• 1-2 years of experience in cybersecurity, IT security, or a related field (internship experience is also considered). 
• Passion for Web3 technologies and a proactive attitude toward learning. 

Interview Process 

• HR Phone Interview 
• 1st online interview: 1 hour meeting with the Hiring team
• 2nd online interview: 30 mins to 1 hour meeting with the Hiring Manager

If you have any questions or would like to discuss this position further, please feel free to reach out.