Principal/Staff Engineer – Firmware Development

Principal NAND Reliability Product Engineer

Staff/Principal Engineer - CMP Advanced NAND

Fronted End Central Process Integration Senior Engineer

Manager - Marketing - Retail

VP, Senior Data Engineering Manager

AI Transformation Engineer

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

Senior Executive Accounts Payable

Responsibilities: SUPPORT CUSTOMERS AND DEBUG FIRMWARE <ul><li>Customer engineering support: Act as the primary technical escalation point for Security Firmware on SSD products — triage, prioritize, and drive customer reported security issues to closure within committed response times</li><li>Security feature enablement: Guide customers through the configuration, integration, and validation of SSD security features; including, but not limited to: TCG Opal/Pyrite/Ruby and Enterprise SSC, ATA and NVMe security commands, self-encrypting drive operation, secure boot and signed firmware update, sanitize and cryptographic erase, key management, and device attestation</li><li>Debug and root cause analysis: Reproduce customer, qualification, and field failures in the lab; analyze firmware logs, traces, and bus captures; debug Security Firmware source; and deliver documented root cause and corrective action</li><li>Firmware fixes and validation: Develop, unit test, and functionally validate targeted Security Firmware changes and customer specific configurations and builds, ensuring each change meets the security, functional, performance, and quality/reliability requirements of the technical spec matrix before release</li><li>Vulnerability and incident response: Assess the impact of reported vulnerabilities and security findings on products already in the field, and support mitigation planning, remediation delivery, and customer disclosure</li><li>Customer qualification and compliance support: Support customer security audits, security questionnaires, and certification activities (e.g. TCG specification compliance, FIPS 140-3, Common Criteria), and produce the application notes, integration guides, and technical documentation customers depend on</li></ul> STAKEHOLDER MANAGEMENT <ul><li>Represent our client in direct technical engagement with customer engineering teams, translating Security Firmware behavior, constraints, and risk into terms that are clear to both engineering and non-engineering audiences</li><li>Dedicatedly provide to management, multi-functional team members, and the firmware team consistent, detailed, and properly summarized information regarding customer issues, escalation status, and the progress of firmware fixes</li><li>Maintain accurate issue records, root cause reports, and knowledge base content so that recurring customer questions are answered faster over time</li></ul> PEOPLE DEVELOPMENT <ul><li>Multi-functional Teamwork: Develop and maintain collaborative, open and, constructive relationships with peers, management, and partner teams across firmware development, product engineering, quality, and field applications</li><li>Team Development: Provide technical capability that continuously improves team involvement, morale, and productivity</li><li>Personal Development: Work to continuously improve your technical capability and communication skills</li></ul> AI UTILIZATION <ul><li>Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and requirements.</li><li>Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.</li></ul> Requirements: <ul><li>Bachelors/masters degree in computer or electrical engineering with 5+ years of relevant experience.</li><li>Experience in a customer facing engineering role such as customer engineering support, field applications, sustaining engineering, or escalation management is strongly preferred</li><li>Embedded Security domain knowledge and experience, including cryptography fundamentals (AES, RSA/ECC, SHA), key management, secure boot, and secure firmware update</li><li>Familiarity with storage security standards and features such as TCG Opal and Enterprise SSC, ATA Security, NVMe security and sanitize commands, and self-encrypting drives is an advantage</li><li>Expertise in the use of programming languages (eg. C, C++, RUST), programming tools &amp; environments</li><li>Experience programming in Python for test automation, log parsing, and debug tooling is an advantage</li><li>Understanding of storage interfaces including ideally PCIe/NVMe, SATA, or SAS</li><li>Experience with NAND flash and other non-volatile storage is an advantage</li><li>Experience in storage industry, storage systems, or a related technology is an advantage</li><li>Proficiency in debugging and resolving code problems for firmware applications, including the use of debuggers, firmware trace and log analysis, and protocol analyzers</li><li>Experience with defect tracking, change control, and firmware release processes in a production or sustaining environment</li><li>Excellent written and verbal communication skills, with the ability to manage multiple concurrent escalations under time pressure and stay effective in customer visible situations</li><li>Ability to apply baseline digital fluency and role-appropriate AI literacy to use AI-enabled tools responsibly and effectively for research, analysis, content creation, problem-solving, operational tasks, and achieving business outcomes.</li></ul>

Responsibilities: <ul><li>Define and implement NAND Flash reliability test flows to assess product reliability performance and prevent extrinsic/intrinsic reliability escapes.</li><li>Perform high volume statistical data analysis to evaluate NAND DPM/ intrinsic reliability risks and trends.</li><li>Drive electrical failure analysis, including advance characterization, to identify root causes and solution spaces.</li><li>Develop short term countermeasures such as targeted stresses and screens, applying knowledge of digital/analog circuits, device physics, and process engineering.</li><li>Qualify the product with innovative control measures to provide best in Class DPM and Cell reliability.</li><li>Collaborate closely with Fab, NAND Technology, NAND Design, Product Development, System Development, and Quality/Reliability teams to develop solutions and enable shipment of high quality end products.</li></ul> Requirements: <ul><li>Bachelor’s degree&nbsp;with &gt; 10 years or Master’s degree&nbsp;with &gt; 7 years or PhD with &gt; 5 years&nbsp;of relevant experience in Electrical Engineering or related field.</li><li>Experience in Semiconductor Reliability, NAND Technology, and Electrical Failure Analysis.</li><li>In depth background in NAND Design, Device Physics, Circuits,&nbsp;Process, Test, Validation.&nbsp;</li><li>Experience with application of AI tools, LLMs ,&nbsp;data analysis tools (e.g., Python, JMP, Tableau)</li><li>Strong statistical analysis, communication, and problem solving skills.</li><li>Experience in leading cross functional projects and mentoring&nbsp;junior engineers.</li><li>Strong analytical and problem solving skills.</li><li>Team player and self driver.</li></ul>

Responsibilities: <ul><li>As a CMP Process Development Engineer, you will develop and optimize chemical mechanical planarization procedures. These procedures aim to improve product quality and reliability for the next generation of company memory parts.</li><li>Focus on understanding and improving the process margins required for meeting the mature yield goal for 3D NAND parts</li><li>Advanced 3D NAND CMP process development will include performing fundamental research, consumables development, and hardware evaluation, as well as testing processes for novel applications</li><li>Initiate and manage experiments to widen process margins as well as to evaluate manufacturability of next node solutions</li><li>Extensively collaborate with vendors to develop processes that meet integration requirements for current and next-generation 3-D NAND nodes</li><li>Incorporate best known manufacturing methods into early development phase of upcoming nodes</li><li>Design and implement advanced process monitoring and control methodologies</li><li>Provide strategic roadmap for N+, N++ and future NAND Nodes</li><li>Serve as a technical expert within company contributing to technical projects for improvements to processes, procedures, and equipment</li><li>Define and leads complex, multi-functional projects of critical importance to company, helps to define strategic direction</li><li>Provide advice and counsel to management on significant technical issues. Leads and initiate innovation projects through patents/technical papers</li><li>This position requires communication and collaboration with partners both locally and globally. Strict adherence to company Intellectual Property Protection policy is necessary</li></ul> Requirements: <ul><li>PhD with ≥5 years, or Master’s degree with ≥7 years, or Bachelor’s degree with ≥10 years of relevant experience in Electrical Engineering, Materials Science, Chemical Engineering, Physics, or a related field, with demonstrated expertise in semiconductor Experience in Chemical Mechanical Planarization (CMP) Process in 300mm wafer fabrication.</li><li>Hands-on experience CMP equipment operation such as AMAT (LKP), EBARA-300X and next generation CMP equipment, optical metrology, profilometry, polishing slurries, conditioners, and polishing pads</li><li>Experience in dielectrics/metals CMP process development on 3D NAND or other memory technology</li><li>Understanding of various integration and structural impacts and constraints related to film deposition and other upstream/downstream processes</li><li>An understanding of the general process steps and process flow for memory processing planar and vertical NAND memory.</li><li>Strong interest in Data science, modelling, and drive to use/adopt AI to optimize workflows.</li><li>Excellent oral and written communication skills with ability to convey the message in concise and effective manner both in local as well as remote communications.</li><li>Strong collaboration and communication skills (verbal and written).</li><li>Self-driven, adaptable, and able to manage multiple projects.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</li><li>Proven ability to take calculated risks and execute novel solutions.</li><li>Recognized as a mentor, team player and technical expert with the ability to solicit feedback, accept input, and analyze success/failure.</li></ul>

Responsibilities: <ul><li>Collaborate with multi-functional network teams from PIE, Process &amp; Equipment Engineering, WLR, TD to improve product yields and reliability within your assigned process loop.</li><li>May require travel to global company sites to foster collaboration and drive execution.</li><li>Communicate module related issues to the Fab engineering and leadership teams.</li><li>Design, execute, and analyze experiments to improve fab process, yield, and quality.</li><li>Collect and interpret complex data to optimize Fab processes and increase yields.</li><li>Engage and/or lead cross-area engineering teams to tackle process issues.</li><li>Work closely with global partners to stay ahead of on module related topics and process alignment projects.</li><li>Collaborate with other PI module owners and sister fabs to drive business process alignment</li><li>Partner with IE, Process and Equipment Engineering and Production to better forecast and balance yield, output and process issues</li><li>Promote network synergy through improved benchmarking and standardization of known engineering best-known methods (BKMs), business process.</li></ul> Requirements: <ul><li>Bachelor’s or advanced degree in Engineering or Science is required</li><li>Strong analytical, logical, and critical thinking skills</li><li>Effective communicator, able to collaborate across all levels</li><li>Growth mindset with a passion for continuous learning</li><li>Internship or experience in the semiconductor industry is a plus</li><li>Demonstrated leadership and a track record of impact are highly desirable</li><li>Interest in and knowledge of the semiconductor industry and company is preferred.</li></ul>

Responsibilities: <ul><li>Support Senior Manager in developing annual marketing strategies and mall-level plans.</li><li>Assist with market positioning, competitive analysis, and customer segmentation.</li><li>Align with internal business units on marketing direction.</li><li>Assist in delivering annual integrated 360° campaigns.</li><li>Coordinate with Strategy and Leasing teams.</li><li>Implement strategies to enhance customer loyalty and revenue.</li><li>Prepare campaign briefs and scopes of work.</li><li>Manage execution of approved campaigns.</li><li>Identify partnership opportunities</li><li>Support development of event concepts and activations.</li><li>Coordinate with operations, mall teams, and agencies for event execution.</li><li>Ensure branding and setup consistency.</li><li>Oversee preparation of marketing collateral.</li><li>Support in securing authority approvals.</li><li>Assist in evaluating sponsorships.</li><li>Ensure events are promoted across all channels.</li></ul> Requirements: <ul><li>Bachelor’s degree required; Master’s preferred</li><li>Experience:-5–7 years marketing experience, ideally GCC.</li><li>Experience in mall marketing, PR, events, digital, or agencies.</li><li>Strong understanding of multi-channel marketing.</li><li>Knowledge of digital tools and analytics.</li><li>Strong creative and project management skills.</li><li>Strong communication skills.</li></ul>

Responsibilities: <ul><li>Provide vision, leadership, and strategic direction for data engineers to deliver modern, high-quality data pipelines, models, and products, while fostering</li><li>innovation and new approaches to solving enterprise technical challenges.</li><li>Lead cloud data transformation and migration initiatives, helping define target-state cloud data engineering standards while ensuring solutions are resilient, scalable, high-performing, cost-optimized, and secure.</li><li>Drive data engineering excellence through AI adoption, automation, reusable frameworks, pipeline standardization, testing automation, and continuous</li><li>improvement to reduce complexity, increase consistency, and accelerate delivery.</li><li>Establish and advance best practices for data ingestion, transformation, standardization, productization, data quality, metadata management, lineage,</li><li>observability, orchestration, automated deployment, data protection, and secure data consumption.</li><li>Oversee the development of best-in-class data models and testing practices that are aligned to business objectives and enable trusted, consistent, secure, and easily usable data across the enterprise.</li><li>Partner with company leaders, the Data Office, Supervisory Affairs, Risk &amp; Compliance, other process owners, and other Technology and Business</li><li>stakeholders to ensure strategic data solutions sufficiently mitigate risk, strengthen controls, and respond to regulatory expectations.</li><li>Champion agile delivery with the Office of Agile and cross-functional teams using SAFe methods, managing execution across multiple priorities, projects, and release trains while proactively addressing dependencies, risks, and issues.</li><li>Develop, coach, and retain a high-performing team through skill development, career growth, inclusive leadership, succession planning, and ongoing focus on</li><li>team effectiveness.</li><li>Perform other duties and/or special projects as assigned.</li></ul> Requirements: <ul><li>Bachelors Degree and a minimum of 12 years of IT experience, OR in lieu of a Degree minimum of 14 years of experience in an IT environment</li><li>Minimum of 5 years of data engineering experience leveraging public cloud capabilities.</li><li>Minimum of 7 years of experience in a large complex organization</li><li>Minimum of 9 years of Demonstrated experience leading data engineering delivery for enterprise-scale data platforms, pipelines, data models, or analytic products.</li><li>Ability to communicate complex technical concepts clearly to business, technology, risk, and executive stakeholders</li></ul>

Role Description: <ul><li>The AI Transformation Engineer is responsible for identifying, evaluating, and deploying AI-enabled solutions that improve engineering productivity, accelerate development activities, and enhance decision-making across ICT Engineering.</li><li>The role serves as the bridge between engineering teams, AI technical specialists, and business stakeholders to ensure AI opportunities are translated into measurable business outcomes. This position leads the implementation lifecycle of approved AI initiatives, from opportunity assessment through deployment and value realization.</li><li>The role focuses primarily on engineering workflows, knowledge work, and business processes where AI can eliminate non-value-added activities, improve engineering effectiveness, and reduce time-to-market.</li></ul> Responsibilities: ﻿Opportunity Identification &amp; Assessment <ul><li>Partner with engineering teams to identify productivity challenges, workflow inefficiencies, and opportunities for AI-enabled improvement.</li><li>Analyze current-state engineering processes and determine the potential value of AI solutions.</li><li>Gather business requirements and define desired outcomes.</li><li>Partner with AI technical specialists to assess technical feasibility and solution options.</li><li>Work with the AI Value Realization Engineer to establish baseline measurements, value estimates, success criteria, and evidence requirements.</li><li>Provide use-case requirements, value assumptions, and implementation estimates to support prioritization and business-case development.</li><li>Determine whether identified opportunities are best addressed through AI, conventional automation, process improvement, or a combination of approaches.</li></ul> Solution Delivery &amp; Deployment <ul><li>Lead execution of approved AI initiatives from pilot through full deployment.</li><li>Coordinate stakeholders across engineering, digital technology, AI development teams, and subject matter experts.</li><li>Manage pilots, validation activities, user testing, and deployment readiness.</li><li>Drive user adoption and organizational change management activities.</li><li>Ensure solutions deliver expected business outcomes and user value.</li><li>Rapidly prototype and evaluate AI-enabled workflows using available enterprise AI platforms, low-code/no-code tools, and workflow automation technologies.</li></ul> Value Realization <ul><li>Own achievement of approved project objectives and targeted business benefits.</li><li>Monitor adoption, usage, and performance of deployed solutions.</li><li>Identify and resolve barriers to implementation success.</li><li>Partner with the AI Value Realization Engineer to validate benefits and track realized value.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering or related technical discipline.</li><li>5+ years of engineering, product development, manufacturing engineering, or related experience.</li><li>Strong understanding of engineering workflows and development processes.</li><li>Experience leading cross-functional projects and driving organizational change.</li><li>Ability to translate business challenges into actionable improvement opportunities.</li><li>Strong communication, facilitation, and stakeholder management skills.</li><li>Demonstrated passion for AI and digital transformation.</li><li>Practical experience applying AI, automation, or digital technologies to engineering or business problems; experience with generative AI, LLMs, AI agents, or workflow automation preferred.</li><li>Experience rapidly prototyping and evaluating AI-enabled workflows using enterprise AI platforms, low-code/no-code tools, or workflow automation technologies.</li><li>Working understanding of LLM capabilities and limitations, including common failure modes, validation approaches, and human-in-the-loop considerations.</li></ul>

Role Description: <ul><li>The AI Analytics &amp; Value Realization Engineer is responsible for ensuring AI initiatives deliver measurable business value across ICT Engineering.</li><li>The role establishes value measurement frameworks, validates benefits, develops performance dashboards, and enables data-driven decision making across the AI portfolio. This position serves as the primary subject-matter expert for AI adoption measurement, business impact reporting, value realization tracking, and portfolio analytics</li></ul> Responsibilities: Value Definition &amp; Business Case Support <ul><li>Partner with AI Transformation Engineers during opportunity assessments.</li><li>Establish baseline metrics, value hypotheses, and expected business outcomes.</li><li>Define standardized measurement methodologies and evidence requirements for AI initiatives, distinguishing between forecast, validated, realized, and sustained business value.</li><li>Develop approaches for measuring engineering productivity and operational benefits, including time savings, cycle-time reduction, quality improvement, throughput, and adoption where direct financial measurement is not feasible.</li><li>Challenge assumptions and ensure value estimates are fact-based and measurable.</li></ul> Portfolio Measurement &amp; Reporting <ul><li>Develop and maintain AI portfolio dashboards and KPI reporting.</li><li>Track solution adoption, utilization, and business impact.</li><li>Collect and analyze deployment performance data.</li><li>Ensure consistent reporting across all AI initiatives.</li><li>Generate monthly reporting for ICT Engineering leadership, ICT AI leadership, and segment AI leadership.</li></ul> Value Realization &amp; Validation <ul><li>Validate achievement of project objectives and business benefits.</li><li>Monitor sustainability of realized benefits after deployment.</li><li>Identify underperforming initiatives and recommend corrective actions.</li><li>Support prioritization decisions using objective performance and value data.</li><li>Develop standardized value realization methodologies and reporting processes.</li><li>Design measurement approaches that compare pre- and post-deployment performance and provide credible evidence that observed improvements are attributable to deployed solutions.</li></ul> Advanced Analytics <ul><li>Perform portfolio analytics and trend analysis.</li><li>Support executive decision-making with actionable insights.</li><li>Maintain data quality and governance standards for AI program reporting.</li><li>Build Power BI dashboards and reporting solutions.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering, Data Analytics, Business Analytics, Statistics, or related field.</li><li>Experience with analytics and visualization tools such as Power BI, including dashboard development, KPI reporting, and data analysis.</li><li>Strong analytical and quantitative problem-solving skills.</li><li>Experience developing and maintaining business metrics and measurement frameworks.</li><li>Experience establishing performance baselines and designing measurement approaches to evaluate the impact of implemented solutions.</li><li>Ability to translate complex data into actionable business insights.</li><li>Knowledge of engineering, technology, or transformation programs preferred.</li><li>Strong communication and executive presentation skills.</li></ul>

﻿Responsibilities: &nbsp;<ul><li>Lead, mentor, and grow a team of 4-5 ML engineers.</li><li>Provide architectural direction and code-level guidance.</li><li>Establish engineering best practices for ML system design, testing, and deployment.</li><li>Conduct design reviews, performance reviews, and technical roadmap planning.</li><li>Architect distributed ML systems serving multiple global products.</li><li>Standardize infrastructure patterns for LLM serving and retrieval systems.</li><li>Define and implement enterprise-ready agentic frameworks.</li><li>Architect multi-step reasoning systems.</li><li>Lead decisions on deterministic workflows vs. autonomous agents.</li><li>Implement guardrails, safety layers, and traceability mechanisms.</li><li>Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.</li><li>Establish CI/CD standards for ML lifecycle management.</li><li>Ensure compliance with enterprise data governance and responsible AI standards.</li></ul>&nbsp;Requirements &nbsp;<ul><li>8-10 years of Machine Learning/Software Engineer experience</li><li>2-3 years of people management experience.</li><li>Master’s degree or bachelors degree, computer science degree is highly desirable.</li><li>Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data.</li></ul>

Responsibilities: <ul><li>Process vendor payments and payment runs through Oracle.</li><li>Support AP payment processing, reconciliations, reporting and issue resolution.</li><li>Manage vendor relationships and payment-related queries.</li><li>Support AP transformation, process improvement and transition projects.</li><li>Own assigned AP activities with accuracy, timeliness and control discipline across invoice processing, payment readiness, AP reporting, reconciliations and period-close support.</li><li>Act as the first point of functional review for assigned AP matters, assessing issues independently, resolving within approved protocols and escalating exceptions with clear facts, impact and recommended action.</li><li>Monitor operational performance against agreed SLAs, KPIs, payment timelines, ageing trends and exception volumes, and support corrective actions to improve service quality.</li><li>Demonstrate ownership, accountability and business judgement in handling AP matters that require coordination across multiple stakeholders and systems</li></ul> Requirements: <ul><li>Minimum 5 years’ Accounts Payable experience.</li><li>Strong end-to-end AP knowledge.</li><li>Oracle exposure and hands-on payment processing on Oracle.</li><li>AP transformation / process excellence exposure as an end user.</li><li>Transition project experience or exposure in involvement with new AP related projects.</li><li>Vendor relationship management exposure.</li></ul>

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259 senior infosec engineer assessments Jobs found

Principal/Staff Engineer – Firmware Development

Principal NAND Reliability Product Engineer

Staff/Principal Engineer - CMP Advanced NAND

Fronted End Central Process Integration Senior Engineer

Manager - Marketing - Retail

VP, Senior Data Engineering Manager

AI Transformation Engineer

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

Senior Executive Accounts Payable

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259 senior infosec engineer assessments Jobs found

Principal/Staff Engineer – Firmware Development

Principal NAND Reliability Product Engineer

Staff/Principal Engineer - CMP Advanced NAND

Fronted End Central Process Integration Senior Engineer

Manager - Marketing - Retail

VP, Senior Data Engineering Manager

AI Transformation Engineer

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

Senior Executive Accounts Payable

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

EMPLOYER

TALENT

COMPANY

Contact Us

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