Engineer, Senior (Technology Integration -Wafer-Level Packaging)

Engineer, Senior (Process Development - Interconnect Plating)

Engineer, Senior (Process Development -Chemical-Mechanical Planarization, CMP)

Engineer, Senior (Process Development -Microacoustics Lithography)

Software Engineer In Test (SDET)

Senior Machine Learning Engineer

Product Specialist – Pharma Sales

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

Responsibilities: Technology Development <ul><li>Lead and/ or co-work with global process cluster on new process recipes from concept to qualification and manufacturing release.</li><li>Define process requirements, success criteria, design‑of‑experiments (DOE), and characterization plans.</li><li>Drive root‑cause analyses, failure mechanism studies, and improvement loops to achieve performance, yield, and reliability targets.</li><li>Translate product requirements into process specifications and control strategies.</li></ul> Technology Transfer &amp; Ramp <ul><li>Work with project leader on technology transfer - from pilot line to high‑volume manufacturing. Adapts to shifting priorities while ensuring deadlines are met.</li><li>Lead and drive technical discussions to onsite process transfer activities, including documentation (PFMEA, etc), training, process replication, and equipment matching.</li><li>Work with equipment team on equipment set-up and process cluster on establishing critical process windows, statistical control limits, and ramp‑readiness criteria.</li><li>Coordinate and report ramp performance tracking (yield, scrap, cycle time, tool capability) and drive closure of gaps.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Engineering (Material Science, Mechanical Engineering, Chemical Engineering, or related fields).</li><li>3+ years of experience in Chemical Mechanical Planarization (Polishing) process engineering, process development, or as process engineer in a high-volume manufacturing fab.&nbsp;</li><li>Strong skills in DOE, SPC, data analytics, FMEA, and troubleshooting.</li><li>Excellent communication, technical documentation, and stakeholder management skills.</li></ul>

Responsibilities: Technology Development <ul><li>Lead and/ or co-work with global process cluster on new process recipes from concept to qualification and manufacturing release.</li><li>Define process requirements, success criteria, design‑of‑experiments (DOE), and characterization plans.</li><li>Drive root‑cause analyses, failure mechanism studies, and improvement loops to achieve performance, yield, and reliability targets.</li><li>Translate product requirements into process specifications and control strategies.</li></ul> Technology Transfer &amp; Ramp <ul><li>Work with project leader on technology transfer - from pilot line to high‑volume manufacturing. Adapts to shifting priorities while ensuring deadlines are met.</li><li>Lead and drive technical discussions to onsite process transfer activities, including documentation (PFMEA, etc), training, process replication, and equipment matching.</li><li>Work with equipment team on equipment set-up and process cluster on establishing critical process windows, statistical control limits, and ramp‑readiness criteria.</li><li>Coordinate and report ramp performance tracking (yield, scrap, cycle time, tool capability) and drive closure of gaps.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Engineering (Material Science, Mechanical Engineering, Chemical Engineering, or related fields).</li><li>3+ years of experience in Chemical Mechanical Planarization (Polishing) process engineering, process development, or as process engineer in a high-volume manufacturing fab.&nbsp;</li><li>Strong skills in DOE, SPC, data analytics, FMEA, and troubleshooting.</li><li>Excellent communication, technical documentation, and stakeholder management sk</li></ul>

Responsibilities: Technology Development <ul><li>Lead and/ or co-work with global process cluster on the development of next generation lithography for microacoustics filter and wafer-level packaging from concept to qualification and manufacturing release.</li><li>Define process requirements, success criteria, design‑of‑experiments (DOE), and characterization plans.</li><li>Drive root‑cause analyses, failure mechanism studies, and improvement loops to achieve performance, yield, and reliability targets.</li><li>Translate product requirements into process specifications and control strategies.</li></ul> Technology Transfer &amp; Ramp <ul><li>Work with project leader on technology transfer - from pilot line to high‑volume manufacturing. Adapts to shifting priorities while ensuring deadlines are met.</li><li>Lead and drive technical discussions to onsite process transfer activities, including documentation (PFMEA, etc), training, process replication, and equipment matching.</li><li>Work with process cluster on establishing critical process windows, statistical control limits, and ramp‑readiness criteria.</li><li>Coordinate and report ramp performance tracking (yield, scrap, cycle time, tool capability) and drive closure of gaps.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Engineering (Materials Science, Chemical Engineering, Microelectronics or related fields).</li><li>4+ years of experience in industry environment with broad lithography exposure in handing KrF/ I-line scanner</li><li>Hand-on experiences in metrology including CD-SEM, Overlay, etc.&nbsp;</li><li>Strong lithography skills set on lithography theory, characteristics of photo-resist and corresponding applications, process set-up, optimization and margin improvement.</li><li>Strong skills in DOE, SPC, data analytics, FMEA, troubleshooting.</li><li>Excellent communication, technical documentation, and stakeholder management skills.</li></ul>

Responsibilities: <ul><li>Framework Development: Contribute to, maintain and enhance the test automation framework by adding new capabilities and improving maintainability.</li><li>Ensure the framework supports scalability, modularity, and cross-platform compatibility.</li><li>Be ready to jump into unknown areas and quickly implement the most suitable solutions.</li><li>Test Script Development: Design, develop, and maintain robust and reusable test automation scripts.</li><li>Work with different application layers: UI, API, database, and possibly mobile or desktop apps. Implement and maintain utilities and test libraries.</li><li>If required support developers with unit tests.</li><li>Test Strategy &amp; Planning: Collaborate with QA leads and developers to define what to automate, when, and how.</li><li>Ensure test automation is integrated in the CI/CD pipeline and supports continuous testing.</li><li>Test Execution &amp; Maintenance: Regularly run automated tests and analyze results. Identify and troubleshoot test failures, escalating issues when needed. Maintain and update existing test cases and CI/CD pipelines as applications evolve.</li><li>Troubleshooting &amp; Debugging: Investigate test failures and identify root causes— whether it’s a test issue, application defect, or environment problem.</li><li>Provide quick and effective fixes or workarounds.</li><li>Collaboration &amp; Mentorship: Collaborate with developers, QA engineers, DevOps, and product owners to ensure alignment on testing objectives.</li><li>Mentor junior team members on automation best practices and tool usage.</li><li>Code Quality &amp; Version Control: Write clean, maintainable, and efficient automation code. Perform code reviews for junior engineers and provide constructive feedback. Ensure adherence to automation coding standards and version control practices.</li><li>Test Data &amp; Environment Handling: Set up or manage basic test data for automated runs. Run tests across different environments and report inconsistencies.</li><li>Documentation: Document automated tests and provide clear test case descriptions.</li><li>Keep test coverage and automation status updated in tracking tools like Jira, TestRail, or similar.</li></ul> Requirements: <ul><li>Experience &amp; Expertise: Excellent coding skill in Python, JavaScript is a plus.</li><li>Proven experience in building test framework, application development and building applications, working with git.</li><li>Solid experience with API automation testing, microservices solutions, setting up CI/CD pipelines in Azure DevOps or similar.</li><li>Great experience with Docker or similar.</li><li>Agile methodology: Experience in working in an Agile environment and comfortable in dynamic settings and requirements.</li><li>You thrive as fast-paced and are an independent contributor with no support required to drive assigned tasks forward with precision and efficiency.</li><li>Communication &amp; Collaboration: Proficient in cross-functional communication with a demonstrated ability to facilitate team communication and knowledge sharing sessions.</li><li>Technical Proficiency: Hands-on experience with latest development tools and processes, DevOps practices and Cloud solutions like Azure, AWS or similar, Robot Framework, Selenium Grid and reporting tools like Grafana, Report Portal or similar.&nbsp;</li><li>Continuous Improvement: Proactively identify areas for automation improvement or technical debt reduction.</li><li>Stay current with industry trends, tools, and emerging practices.</li><li>Educational Background: A Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li></ul>

Role Description: <ul><li>Working closely with the Data Scientists and be responsible for implementing large language models (LLMs) based applications, working with proprietary and open-source Models as well as popular frameworks such as Lang Chain to ensure seamless integration and deployment.</li></ul> Responsibilities: <ul><li>Building standalone applications that interact with LLM models.</li><li>Building RAG-based applications.</li><li>Understanding of Vector DBs like Solr for LLM based applications</li><li>Integrate models with existing systems and APIs.</li><li>Implement production quality ETL jobs</li><li>Preprocess and manage data for training and deployment.</li><li>Collaborate with cross-functional teams to define, design, and ship new features.</li><li>Write clean, maintainable, and efficient code.</li><li>Document development processes, code, and APIs.</li></ul> Requirements: <ul><li>Degree in Computer Science, Data Science, or related field.• Proven experience in building customer facing ML based APIs</li><li>Mexico City–based (or nearby), available to work onsite 2 days per week at Glorietadel Ahuehuete, Reforma.</li><li>Experience in developing applications that are scalable to handle TBs of data</li><li>Strong knowledge of API integration (RESTful, GraphQL).</li><li>Experience with data preprocessing, SQL, and NoSQL databases as well as vector stores (e.g., Postgres, MySQL, Solr, Elasticsearch/OpenSearch, etc.).</li><li>Familiarity with deployment tools (Docker, Kubernetes).</li><li>Experience with DevOps tools like Jenkins, Terraform, Cloud Formation templates is highly preferred.</li><li>Excellent problem-solving and communication skills.</li><li>Experience with Spark/Hadoop, EMR or any other Big Data technology would be a plus</li><li>Experience working on agents is considered a good-to-have</li><li>Familiarity with agents, even through courses Work in a way that works for you We promote a healthy work/life balance across the organization..</li></ul> Other Information: These are some of the benefits we are delighted to offer: <ul><li>Private Medical/Dental Plan.</li><li>Savings Fund.</li><li>Life Insurance.</li><li>Meal/Grocery Voucher.</li><li>We offer an appealing working prospect for our people.</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.</li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you.</li><li>We know that your well-being and happiness are key to a long and successful career.</li></ul>

Responsibilities:&nbsp; <ul><li>Execute sales and marketing activities to achieve sales targets assigned.&nbsp;</li><li>Track sales progress against key performance indicators and sales plans. Prioritize and review daily sales activities with the Sales Manager/Business Unit Head to enable an efficient and effective work execution.&nbsp;</li><li>Deliver product presentations to the healthcare professionals to ensure thorough understanding of the products.&nbsp;</li><li>Identify and develop new business opportunities with new and existing healthcare professionals to expand customer base and market share.&nbsp;</li><li>Support internal stakeholders in relationship development with key customers. Conduct market and competitor research on project basis.&nbsp;&nbsp;</li><li>Ensure compliance with the company policies and the local industry’s code of conduct to ensure that the company conducts business with integrity.&nbsp;</li></ul> Requirements:&nbsp; <ul><li>Degree or professional qualification in a Science- or Medical-related discipline.&nbsp;</li><li>Minimum of 1 year working experience in dealing with healthcare professionals at pharmaceutical or medical device industry.&nbsp;</li><li>Willing to travel outstation and cover more than one area.&nbsp;</li><li>Possess business awareness and analytical skills, strong communication and negotiation skill and able to work and travel independently.&nbsp;&nbsp;</li><li>Proficient in English, both written and spoken.&nbsp;</li><li>A valid driving license with an own car.</li></ul>

Responsibilities: <ul><li>Designing, implementing, and optimising scalable data pipelines using Python, PySpark, and Databricks.</li><li>Driving the delivery of customer-facing data products through APIs, Databricks-based sharing, and event-driven mechanisms (e.g., Kafka or similar).</li><li>Taking ownership of end-to-end features — from scoping and development to deployment and monitoring.</li><li>Leading and participating in technical design discussions, contributing to architectural improvements and long-term data strategy.</li><li>Mentoring and coaching junior engineers actively while supporting their technical and professional development.</li><li>Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.</li><li>Conducting peer code reviews, upholding code quality standards, and championing continuous improvement practices.</li><li>Contributing to the team’s agile delivery process and provide input during planning and retrospectives.</li></ul> Requirements: <ul><li>Have extensive experience in data engineering or backend software engineering with a data focus.</li><li>Be proficient in Python, PySpark, and working within Databricks environments.</li><li>Have hands-on experience designing and delivering data products via REST APIs, event-driven systems, or data sharing platforms like Databricks Delta Sharing.</li><li>Have a solid understanding of distributed data processing, ETL/ELT workflows, and data lake/lakehouse architectures.</li><li>Have experience with cloud platforms (e.g., AWS, Azure, GCP) and modern data tooling.</li><li>Have a proven track record of mentoring or coaching other engineers.</li><li>Have effective communication and collaboration skills, including the ability to explain complex concepts to non-technical stakeholders.</li><li>Be familiar with agile development practices</li></ul>

Responsibilities: <ul><li>Design, build, and optimise agentic systems capable of breaking down complex tasks into executable steps.&nbsp;</li><li>Innovate in context engineering strategies (retrieval-augmented generation, dynamic context construction, memory management) to maximise LLM effectiveness.&nbsp;</li><li>Select, fine-tune, and adapt large language models (LLMs) to align with agent objectives.&nbsp;</li><li>Enhance and extend evaluation frameworks for online and offline performance, efficiency, and success rates.&nbsp;</li><li>Select, benchmark, and host LLMs on Amazon SageMaker or EKS, comparing and optimising models to ensure agentic systems are fast, accurate, and cost-effective.&nbsp;</li><li>Own and prioritise a backlog of improvements to core intelligence, applying methods such as RLHF and self-learning agents.&nbsp;</li><li>Collaborate with AI engineering and product teams to deliver production-ready solutions.&nbsp;</li><li>Mentor and supervise junior data scientists and foster a culture of innovation, collaboration, and continuous improvement.&nbsp;</li></ul> Requirements: <ul><li>PhD in AI, Computer Science, Mathematics or a related field; or Master’s with equivalent experience.&nbsp;</li><li>Hands-on experience in LLMs or applied AI research in a commercial environment.&nbsp;</li><li>Proven expertise in context engineering, LLM fine-tuning, and evaluation of non-deterministic systems.&nbsp;&nbsp;</li><li>Strong programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch)&nbsp;</li><li>Strong problem-solving, analytical, and communication skills.&nbsp;</li><li>Demonstrated ability to work collaboratively with engineering and product stakeholders in an agile environment.&nbsp;</li></ul>

Role Description: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Transition legacy data systems to Databricks.</li><li>Build and maintain robust, scalable data pipelines.</li><li>Work closely with subject matter experts, product teams, and stakeholders to understand business logic.</li><li>Apply best practices in data engineering and programming.</li><li>Mentor junior engineers and contribute to knowledge sharing.</li><li>Participate in code reviews and technical discussions.</li></ul> Requirements: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul> Why Join Us <ul><li>Opportunity to work on a strategic, high-impact data platform transformation.</li><li>Exposure to cutting-edge technologies including Databricks and cloud platforms.</li><li>Collaborative, inclusive team culture with strong mentorship.</li><li>Clear opportunities for career growth and skill development.</li></ul>

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90 computer science Jobs found

Engineer, Senior (Technology Integration -Wafer-Level Packaging)

Engineer, Senior (Process Development - Interconnect Plating)

Engineer, Senior (Process Development -Chemical-Mechanical Planarization, CMP)

Engineer, Senior (Process Development -Microacoustics Lithography)

Software Engineer In Test (SDET)

Senior Machine Learning Engineer

Product Specialist – Pharma Sales

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

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90 computer science Jobs found

Engineer, Senior (Technology Integration -Wafer-Level Packaging)

Engineer, Senior (Process Development - Interconnect Plating)

Engineer, Senior (Process Development -Chemical-Mechanical Planarization, CMP)

Engineer, Senior (Process Development -Microacoustics Lithography)

Software Engineer In Test (SDET)

Senior Machine Learning Engineer

Product Specialist – Pharma Sales

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.