

Share
Senior MTS Software Engineer, Data Platform
Job Type: Full-time
About the RoleWe are seeking Data Platform Software Engineers, not Data Engineers . While familiarity with Spark, Flink, and other tools in the Hadoop environment is a definite advantage, your focus will be on building the data platform rather than just creating data pipelines.
Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout. You will collaborate with Product Managers to help define the vision for the data platform at eBay.
Architectural Leadership: Own and evolve the architecture for core data platform systems, ensuring solutions are scalable, secure, maintainable, and in alignment with enterprise standards.
System Design: Eliminate duplication across systems and ensure clear responsibility boundaries; align systems with business needs and future scalability.
Engineering Excellence: Champion clean architecture, promote use of modern frameworks, enforce quality gates, and ensure adherence to design patterns and coding standards.
Lead by Example: Write reference implementations, contribute to core libraries, and conduct in-depth code reviews to influence standards and uplift team capabilities.
Cost Optimization: Propose and drive engineering solutions that reduce operational overhead, improve resource efficiency, and automate manual processes.
Framework Development: Find opportunities to build reusable components, services, and frameworks that accelerate feature delivery across the organization
Modernization: Lead migrations of legacy systems into modern architectures and cloud-native paradigms with minimal disruption and high impact.
Collaboration: Drive complex technical discussions, build consensus across engineering, product, and operational teams, and ensure smooth delivery of cross-functional projects.
Documentation & Governance: Create well-structured Architecture Decision Records (ADRs) and contribute to technical documentation and standards.
Proactively address performance, security, compliance, and future-proofing of solutions while balancing latency, correctness, scale, and cost.
Raise the engineering bar through design/code reviews, operational excellence (SLOs, observability, incident management), and scalable practices that increase velocity across teams.
Mentorship: Act as a technical mentor, guiding senior and junior engineers on architecture best practices and advanced problem-solving.
Introduce AI-first frameworks and reusable components that reduce developer friction and enable faster iteration.
Automate diagnostics, monitoring, and remediation using intelligent assistants and prediction-based alerting.
Excellent in interpersonal communication
What you bring
Extensive experience owning large-scale distributed data platforms (multi-PB data, high-throughput streams, global systems).
Deep systems approach : you anticipate bottlenecks, design for reliability (reprocessing, idempotency, schema evolution), and think holistically across compute, storage, and APIs.
Excellent decision-making and communication skills , thriving in ambiguity while aligning diverse stakeholders on the right path forward.
Security and compliance mindset , including data privacy, RBAC/ABAC, encryption, and auditability — with the ability to partner with compliance teams on regulatory requirements.
Proven leadership in mentoring engineers, shaping team culture, and driving organizational change in engineering practices.
Growth mindset
High-impact mission : You will build and modernize eBay’s Data Platform, which powers analytics, experimentation, machine learning, personalization, and trust and compliance on a global scale.
Challenging technical problems : From real-time streaming at scale, to lakehouse correctness, governance, cost and performance optimization, and multi-cloud resiliency.
Vibrant culture : A collaborative, transparent, and inclusive environment where diverse perspectives are valued, knowledge sharing is encouraged, and every engineer has a voice.
Flexibility & support : Hybrid/remote-friendly practices, competitive compensation, global benefits ( ), and support for learning resources, conferences, and career development.
Always-on responsibility with balance
Qualifications
12+ years of experience in building and operating large-scale distributed systems, with 5+ years as a staff/architect-level technical lead across multiple domains.
Proven success in driving technical strategy and roadmaps , authoring architecture and technical vision documents, and aligning stakeholders across engineering, product, and compliance.
Strong foundation in data structures, algorithms, and distributed systems design .
Proficiency in Java/Python (or equivalent) and in infra-as-code, CI/CD, and containerized environments.
Hands-on deep internal expertise in several of the following: Kafka/Flink, Spark,, Delta/Iceberg, GraphQL/REST APIs, RDBMS/NoSQL, Kubernetes, Airflow.
Experience building both streaming and batch data platforms , improving reliability, quality, and developer velocity.
Demonstrated ability to mentor senior engineers, influence org-wide practices , and make long-term architectural decisions that unlock measurable business outcomes.
BS/MS in CS or equivalent practical experience.
The base pay range for this position is expected in the range below:
$152,400 - $247,800These jobs might be a good fit

Share
You will work closely with Software Engineers, Researchers, and Data Engineers across the full AI lifecycle: from early experimentation and prototyping to deploying production-grade AI systems that support millions of users. Your focus will include Multimodal Generative AI system , working with videos, images, and textual data, and contributing to both infrastructure and end-user capabilities.
Design, build, and optimize systems that use multimodal data and Generative AI architectures in scalable, reliable, and cost-effective ways.
Lead development of AI led user experiences, including those using videos, live-streams, images, audio and textual data.
Help advance eBay’s internal platform for GenAI applications, contributing reusable components, and APIs.
Monitor and optimize AI systems in production for performance, quality, and responsible AI use.
Stay current with the latest advances in AI/ML and apply a critical lens when integrating new models or tools into the product stack.
Drive iteration on design, implementation, and evaluation processes based on experimentation and team feedback.
8+ years in software or machine learning engineering roles.
4+ years of focused experience developing and deploying AI-centric systems that use visual or multimodal data.
2+ years building generative-AI systems, including systems that incorporate VLMs, diffusion models, or other multimodal models.
Proven success in taking AI-powered products from prototype to production, with an emphasis on maintainability, performance, and user impact.
Strong programming skills in Java or similar JVM languages, with working proficiency in Python and ML frameworks (e.g., PyTorch, TensorRT).
Hands-on experience with:
Docker & Kubernetes
Big Data technologies (e.g., Hadoop, Spark)
UI/UX considerations in application development
Bonus qualifications:
Working knowledge of Spring Framework
Familiarity with streaming data systems (e.g., Kafka, Flink, Beam, Storm)
Familiarity with vector stores (PgVector, FAISS, Pinecone)
Experience with C++ and CUDA for performance-critical components
Strategic thinker with a strong technical foundation and a bias for action.
Excellent communicator who can bridge the gap between research, engineering, and product.
Deep curiosity and hands-on experimentation with the evolving VLM/LLM ecosystem.
Strong commitment to building responsible, ethical, and impactful AI systems.
A collaborative, self-driven mindset and genuine excitement to push the boundaries of what’s possible with AI at eBay.
The base pay range for this position is expected in the range below:
$210,400 - $280,900These jobs might be a good fit

Share
We need a creative individual who will help transfer GPU gaming and compute products from design engineering to mass production. You will be exposed to various aspects of building and testing NVIDIA products, from GPUs to assembled boards. In addition, your responsibilities will include working with overseas manufacturing teams to increase yields, test coverage and capacity, and reduce production costs. If you are passionate about building the highest quality server products that will change the world, then we really want to hear from you.
What you'll be doing:
Define, develop, implement, and support ATE test program solutions for the next generation of GPUs and AI server products.
ATE test method code development and debugging
Scripting and automation tools development and debugging
Actively participate in cross function team including Product Development Engineering, DFT, and IC design to efficiently debug any product failures and implement optimal solutions
What we need to see:
Completion of bachelor's degree or higher in Electrical Engineering/Computer Engineering (or equivalent experience).
5+ years of relevant work experiencein the semiconductor industry.
Knowledge of silicon verification, testing and manufacturing
Have knowledge in Advantest 93K ATE platform is essential
Experienced with Linux, and programming languages such as C/C++/Java and/or Perl/Python
Good communication skills and works well in a group environment and with cross functional teams that spans across continents
Experience with SRAM testing and familiarity with 2.5D or MCM assembly
Understanding of DFT insertion techniques including SCAN, ATPG, MBIST and IOBIST
Knowledge of system level testing/validation is a plus
Utilizing the AI in ATE testing is a plus and make you standout.
You will also be eligible for equity and .
These jobs might be a good fit

Share
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.a unique legacy of innovationfueled by great technology—and amazing people. Today,
What you will be doing:
Partner with Design Engineering to drive the end-to-end roadmap for PCB and PCBA technologies across all NVIDIA product lines, from early R&D through mass-production readiness.
Lead strategic sourcing, quality, delivery, and commercial management of the global PCB supply base, ensuring capability, resilience, and readiness for rapid growth.
Develop and implement technical plans and programs that advance PCB and PCBA technologies in both the short and long term, ensuring suppliers have the capacity and capability to support mass-production volumes.
Plan and execute advanced R&D programs for next-generation PCB and PCBA/SMTtechnologies includingmaterials, interconnect structures, and assembly processes to achieve high yields, strong reliability, and readiness for Data Center, Networking,Gaming, and Automotive products.
Partnerclosely withU.S. and Israeli Hardware and Signal Integrity teamsto anticipate andsupport PCB, PCBA, and SMT requirements early in the design cycle.
Partner with leading PCB fabricators and material suppliers to shape next-generation technologies, guidetheir development roadmaps,and qualify new processes and materials for reliable mass production.
Select, pre-qualify, secure capacity,and allocate marketshare for PCB suppliers across NPI and mass-production demands.
Manage all engineering and NPI quick-turn PCB/PCBA builds, ensuring industry-leading cycle times, quality, and predictability.
What we need to see:
B.S. or higher in Materials Science, Chemistry,Electrical Engineering,or related technical discipline or equivalent experience.
20+ overall years of experience across PCB and PCBA/SMT technologies, including at least 10 years leading large, global, cross-functional engineering or manufacturing technology organizations.
Demonstrated mastery of PCB technology development including laminate systems, interconnect structures,HDI/multilayer stackups,fabrication processes, and reliability engineering.
Strong hands-on background in PCBA and SMT manufacturing, including solder materials, adhesives, underfill, thermal materials, stencil and reflow processes, DFM/DFT, SPC, FA, and high-reliability assembly.
Proven experience managing and developing global PCB supply bases, including technology roadmaps, qualifications, quality programs, capacity strategies, and supplier performance management.
Experience supporting high-reliability markets (Automotive, Aerospace, Defense, Medical) with rigorous process control and reliability requirements is a strong plus.
Established ability to partner deeply with Hardware, Signal Integrity, and Reliability Engineering teams, both domestic and offshore, with a track record of solving complex design-to-build challenges.
Demonstratedsuccess operating atexecutive scale strong leadership presence, clear communication, decisive problem solving, and the ability to influence senior stakeholders across Engineering, Operations, and Suppliers.
A builder’smindset with highmotivation, strong analytical thinking, creativity, and a passion for developing newtechnologies andelevating global manufacturing capability.
the technologya challengeand help us build the scalable communication platforms driving our success in this multifaceted and quickly growing field.
You will also be eligible for equity and .
These jobs might be a good fit

Share
What you’ll be doing:
Critical member of revenue forecasting processes and conduct detailed variance analysis to deliver actionable insights in a fast-paced, high-growth environment.
Build and maintain dynamic financial models to project revenue, costs, and gross margins, supporting strategic planning and performance management.
Analyze complex financial data and trends to provide clear, data-driven recommendations to senior leadership and cross-functional business partners.
Champion continuous improvement initiatives in financial reporting by implementing automation and optimizing reporting processes.
Ensure accurate and timely financial reporting in accordance with the FP&A calendar and quarter-end close requirements, maintaining high standards of data integrity and compliance.
What we need to see:
12+ overall years of financial planning experience, especially with data analytics and data modeling of a business unit, supporting a global, high-tech corporation.
Bachelor’s degree or equivalent experience in Finance, Economics, Business; MBA a plus.
Expert analytical skills and advanced financial modeling techniques in Excel, with ability to build and convey business insight.
Define new processes and analytics as well as influence business decisions.
Ability to improve and streamline manual processes and drive efficiency.
Strong leadership, interpersonal, and communication skills, including effective communication at all levels within the Company.
Ways to stand out from the crowd:
Expert analytical and complex financial modeling skills, critical thinking and problem-solving skills.
Experience collaborating across a large organization to influence change.
Excellent communication and interpersonal skills, with proven ability to build successful relationships and partner with all levels of a company’s organization.
Creative and innovative leader with a positive approach and a focus on business solutions.
Experience with SAP, SFDC, Tableau and BI Tools applications.
You will also be eligible for equity and .
These jobs might be a good fit

Share
What you will be doing:
Drive strategic CSP partnerships, collaborate with keyhyperscaleCSPs to align project schedules, priorities, and technical roadmaps for next-generation data center platforms.
Manage complex technical collaborations proactively, identifying and resolving critical issues before they impact customer deployments.
Orchestrate internal stakeholder alignment ensuring CSP priorities are reflected across NVIDIA's engineering, product, and business.
Create comprehensive customer program visibility through executive dashboards, status reports, and metrics tracking that provide real-time insights into CSP project health, risks, and milestone achievement.
Lead large-scale deployment programs managing multi-rack, hyperscale infrastructure rollouts with complex technical dependencies, timeline coordination, and resource alignment across multiple internal teams.
What we need to see:
Technical Expertise: Solid understanding of system software design, OS fundamentals, Linux kernel development, and hardware/software interfaces. Experience in GPU-based data center server architectures.
Program Management: Proven ability to lead software development for rack-scale systems and data center servers, including complex hardware/software integration projects.
Industry Collaboration: Experience partnering with hyperscalers to drive technical outcomes, manage dependencies, handle escalations, and communicate effectively at the executive level.
Communication & Leadership: Exceptional ability to translate technical concepts for business stakeholders and align diverse teams toward common goals.
BS or MS in Computer Engineering, Computer Science, or related field or equivalent experience.
8+ years of technical program management experience in HPC or data center server software development.
Ways to stand out from the crowd:
Prior hands-on technology development experience in out-of-band manageability and observability solutions, system software/Linux kernel driver development, CUDA programming, or LLM/AI framework development.
You will also be eligible for equity and .
These jobs might be a good fit

Share
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
These jobs might be a good fit

Share
Senior MTS Software Engineer, Data Platform
Job Type: Full-time
About the RoleWe are seeking Data Platform Software Engineers, not Data Engineers . While familiarity with Spark, Flink, and other tools in the Hadoop environment is a definite advantage, your focus will be on building the data platform rather than just creating data pipelines.
Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout. You will collaborate with Product Managers to help define the vision for the data platform at eBay.
Architectural Leadership: Own and evolve the architecture for core data platform systems, ensuring solutions are scalable, secure, maintainable, and in alignment with enterprise standards.
System Design: Eliminate duplication across systems and ensure clear responsibility boundaries; align systems with business needs and future scalability.
Engineering Excellence: Champion clean architecture, promote use of modern frameworks, enforce quality gates, and ensure adherence to design patterns and coding standards.
Lead by Example: Write reference implementations, contribute to core libraries, and conduct in-depth code reviews to influence standards and uplift team capabilities.
Cost Optimization: Propose and drive engineering solutions that reduce operational overhead, improve resource efficiency, and automate manual processes.
Framework Development: Find opportunities to build reusable components, services, and frameworks that accelerate feature delivery across the organization
Modernization: Lead migrations of legacy systems into modern architectures and cloud-native paradigms with minimal disruption and high impact.
Collaboration: Drive complex technical discussions, build consensus across engineering, product, and operational teams, and ensure smooth delivery of cross-functional projects.
Documentation & Governance: Create well-structured Architecture Decision Records (ADRs) and contribute to technical documentation and standards.
Proactively address performance, security, compliance, and future-proofing of solutions while balancing latency, correctness, scale, and cost.
Raise the engineering bar through design/code reviews, operational excellence (SLOs, observability, incident management), and scalable practices that increase velocity across teams.
Mentorship: Act as a technical mentor, guiding senior and junior engineers on architecture best practices and advanced problem-solving.
Introduce AI-first frameworks and reusable components that reduce developer friction and enable faster iteration.
Automate diagnostics, monitoring, and remediation using intelligent assistants and prediction-based alerting.
Excellent in interpersonal communication
What you bring
Extensive experience owning large-scale distributed data platforms (multi-PB data, high-throughput streams, global systems).
Deep systems approach : you anticipate bottlenecks, design for reliability (reprocessing, idempotency, schema evolution), and think holistically across compute, storage, and APIs.
Excellent decision-making and communication skills , thriving in ambiguity while aligning diverse stakeholders on the right path forward.
Security and compliance mindset , including data privacy, RBAC/ABAC, encryption, and auditability — with the ability to partner with compliance teams on regulatory requirements.
Proven leadership in mentoring engineers, shaping team culture, and driving organizational change in engineering practices.
Growth mindset
High-impact mission : You will build and modernize eBay’s Data Platform, which powers analytics, experimentation, machine learning, personalization, and trust and compliance on a global scale.
Challenging technical problems : From real-time streaming at scale, to lakehouse correctness, governance, cost and performance optimization, and multi-cloud resiliency.
Vibrant culture : A collaborative, transparent, and inclusive environment where diverse perspectives are valued, knowledge sharing is encouraged, and every engineer has a voice.
Flexibility & support : Hybrid/remote-friendly practices, competitive compensation, global benefits ( ), and support for learning resources, conferences, and career development.
Always-on responsibility with balance
Qualifications
12+ years of experience in building and operating large-scale distributed systems, with 5+ years as a staff/architect-level technical lead across multiple domains.
Proven success in driving technical strategy and roadmaps , authoring architecture and technical vision documents, and aligning stakeholders across engineering, product, and compliance.
Strong foundation in data structures, algorithms, and distributed systems design .
Proficiency in Java/Python (or equivalent) and in infra-as-code, CI/CD, and containerized environments.
Hands-on deep internal expertise in several of the following: Kafka/Flink, Spark,, Delta/Iceberg, GraphQL/REST APIs, RDBMS/NoSQL, Kubernetes, Airflow.
Experience building both streaming and batch data platforms , improving reliability, quality, and developer velocity.
Demonstrated ability to mentor senior engineers, influence org-wide practices , and make long-term architectural decisions that unlock measurable business outcomes.
BS/MS in CS or equivalent practical experience.
The base pay range for this position is expected in the range below:
$152,400 - $247,800These jobs might be a good fit