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What you will accomplish
Build and maintain eBay’s homepage/CMS backend engineering and machine learning stack
Translate requirements to software design and create clean, efficient, extensible, maintainable code.
Be responsible for a large functional area possessing in-depth knowledge and expertise.
Influence across domain teams and guiding others towards the right technical decisions
Design and build scalable, distributed and high-available systems, ensuring high-performant, responsive website and accessibility.
Provide technical guidance, code review for immediate team and other teams, contribute and review ADRs (Architecture Decision Records), coaching, and mentorship to individual team members within and outside teams.
Lead engineering support, release, and on-call responsibilities.
Identify areas in the team applications and integrate flexibility in the design for these areas
Improving engineering velocity.
What you will bring
6+ years of experience in working in JavaScript, GraphQL REST APIs, messaging systems and/or other backend programming languages.
Hands-on experience building data-driven applications (RDBMS, NoSQL, ElasticSearch)
A deep understanding of building scalable backend applications.
Strong experience delivering results in fast-paced environments (agile, TDD, CI/CD)
Passion for AI technologies (LLMs and Machine Learning)
The base pay range for this position is expected in the range below:
$132,000 - $222,100These jobs might be a good fit

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What you will accomplish
Create world-class, user-centered designs and experiences which solve for customer needs, deliver on business requirements, account for technical feasibility and leverage future trends
Use your understanding of user-centered design processes and ability to create prototypes and high quality design work to drive product design for end-to-end projects in agile, cross-functional teams
Operate as a "Co-Founder" within the cross-functional product team by identifying and validating user problems, producing inventive and thoughtful solutions for users and the business, and shipping meaningful product updates that deliver tangible results
Unite multiple AI-related projects into a cohesive portfolio and end-to-end experience for our customers via collaboration with our design system teams, engineers and multiple product management teams
Deliver tested solutions via participation in user research, product discovery & testing
8+ years of professional experience in product design as an IC design lead working across large cross-domain and cross-functional projects which define an end-to-end customer experience
An outstanding portfolio which demonstrates a broad range of design and product strategy across web-based and native applications and consumer experiences
Experience using design thinking methodologies & UCD processes to drive collaboration across agile, cross-functional teams in a large organization
Hands-on experience driving product and concept development, including generative research, storyboarding, user-journey mapping, competitive analysis, prototyping, qualitative interviews and quantitative testing
Ability to synthesize ambiguity, bringing industry trends, research, team insights, business priorities, and partner feedback into actionable UX strategy and design execution
Experience designing AI interfaces or other experience designing with emerging technologies
The base pay range for this position is expected in the range below:
$124,000 - $208,300These jobs might be a good fit

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You’ll report directly into the Senior Manager of eBay Live and work closely with cross-functional partners in design, product, engineering, research, and marketing. You will be a primary driver advancing eBay Live to industry leadership by deeply understanding seller pain points, innovating on design solutions, and integrating Live workflows into core selling experiences.
What You'll Accomplish
Lead design strategy, architecture, and vision for eBay Live seller experiences, enabling retention and growth in a competitive live commerce landscape.
Drive end-to-end product design, championing service-design methodologies to define and elevate the Live seller journey (onboarding, pre-stream, in-stream, post-stream, business management).
Collaborate with senior design, product, engineering, content, and research leadership to align roadmaps, optimize workflows, and deliver scalable solutions that benefit sellers and buyers.
Develop and iterate advanced design prototypes and narratives that bring innovative concepts to life for testing and refinement in partnership with Research and Content teams.
Partner deeply with content and research peers to ensure seller perspectives, data, and storytelling inform UX strategy and execution across live commerce touchpoints.
Drive executive-level presentations, storytelling, and crafting of design narratives that clearly communicate opportunities, solutions, and results to senior leadership and stakeholder audiences.
Advocate for sellers by synthesizing research findings, competitive insights, and internal priorities into actionable UX strategy and design execution.
Facilitate workshops, user testing, and field research to uncover seller needs, validate hypotheses, and inform design directions.
Serve as a primary design lead and mentor for cross-team collaboration, contributing to Figma file development, service-design documentation, and process improvement initiatives.
What You'll Bring
10+ years of professional product design experience, with deep expertise in live commerce, marketplace, or high-velocity seller experiences.
Advanced mastery of Figma, prototyping tools, and interactive design methods, demonstrated through a robust portfolio showcasing end-to-end product design, strategy, and delivery of complex seller-focused solutions across web and native platforms.
Experience delivering compelling executive-level presentations, storytelling, and clear design narratives to influence senior leaders and drive alignment.
Demonstrated ability to architect holistic, scalable design systems and drive cross-domain alignment.
Advanced proficiency in journey mapping, service design documentation, and workshop facilitation.
Proven success influencing product vision, roadmap prioritization, and organizational advocacy for seller needs in a high-growth environment.
Track record of building strong partnerships with content and research peers, and collaborating effectively across cross-functional design, product, engineering, and stakeholder communities.
Experience leading design thinking activities, user-centered research, and qualitative validation within cross-functional squads.
Inclusive, collaborative approach—building trusted relationships and coaching others to foster innovation within and across teams.
Commitment to ongoing learning, mentoring, and advancing design excellence.
Background or deep interest in streaming, live commerce, video-first platforms, or game design.
The base pay range for this position is expected in the range below:
$142,400 - $232,300These jobs might be a good fit

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What you’ll be doing:
Working with tech giants to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
Partnering with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
Serving as the main technical point of contact for customers engaged in the development of intricate AI infrastructure, while also offering support in understanding performance aspects related to tasks like large scale LLM training and inference.
Conducting regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and debugging sessions.
Collaborating with customers to build Proof of Concepts (PoCs) for solutions to address critical business needs and support cloud service integration for NVIDIA technology on hyperscalers.
Analyzing and developing solutions for customer performance issues for both AI and systems performance.
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
4+ years of engineering(performance/system/solution)experience.
Hands-on experience building performance benchmarks for data center systems, including large scale AI training and inference.
Understanding of systems architecture including AI accelerators and networking as it relates to the performance of an overall application.
Effective engineering program management with the capability of balancing multiple tasks.
Ability to communicate ideas clearly through documents, presentations, and in external customer-facing environments.
Ways to stand out from the crowd:
Hands-on experience with Deep Learning frameworks (PyTorch, JAX, etc.), compilers (Triton, XLA, etc.), and NVIDIA libraries (TRTLLM, TensorRT, Nemo, NCCL, RAPIDS, etc.).
Familiarity with deep learning architectures and the latest LLM developments.
Background with NVIDIA hardware and software, performance tuning, and error diagnostics.
Hands-on experience with GPU systems in general including but not limited to performance testing, performance tuning, and benchmarking.
Experience deploying solutions in cloud environments including AWS, GCP, Azure, or OCI as well as knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc. Command line proficiency.
You will also be eligible for equity and .
These jobs might be a good fit

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Automotive Application Engineer
The Impact You’ll Make in this Role
As an Automotive Application Engineer, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. Here, you will make an impact by:
This position requires driving a company vehicle, which will require pre-employment and ongoing review of motor vehicle history for candidates who are offered and hired for this position
Your Skills and Expertise
To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:
Additional qualifications that could help you succeed even further in this role include:
Work location:
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
Please access the linked document by clicking select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.
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What You'll Be Doing:
Working as a key member of our cloud solutions team, you will be the go-to technical expert on NVIDIA's products, helping our clients architect and optimize GPU solutions for AI services.
Collaborating directly with engineering teams to secure design wins, address challenges, usher projects into production, and offer support through the project's lifecycle.
Acting as a trusted advisor to our clients, while developing reference architectures and best practices for running Microsoft AI workloads on NVIDIA infrastructure.
What We Need To See:
4+ years of experience in cloud computing and/or large-scale AI systems.
A BS in EE, CS, Math, or Physics, or equivalent experience.
A proven understanding of cloud computing and large-scale computing systems.
Proficiency in Python, C, or C++ and experience with AI frameworks like Pytorch or TensorFlow.
Passion for machine learning and AI, and the drive to continually learn and apply new technologies.
Excellent interpersonal skills, including the ability to explain complex technical topics to non-experts.
Ways To Stand Out From The Crowd:
Recent projects or contributions (for example, on GitHub) related to large language models and transformer architectures.
Knowledge of Azure cloud and AzureML services.
Experience with CUDA programming and optimization.
Familiarity with NVIDIA networking technologies such as Infiniband.
Proficiency in Linux, Windows Subsystem for Linux, and Windows.
You will also be eligible for equity and .
These jobs might be a good fit

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What you'll be doing:
Enhance and maintain current-generation infrastructure and tools, addressing the needs of our customers for better platform capabilities, performance, and stability.
Support partners in the development and deployment of their streaming experiences.
Deploy various services and oversee their reliability and security.
Write effective, clear and reliable architecture requirements and design specifications.
Work closely and simultaneously with multiple NVIDIA expert teams around the world.
What we need to see:
B.Sc./M.Sc. degree in Computer Science, Computer Engineering (or equivalent experience).
10+ years experience as a Full-Stack Software Developer.
Broad knowledge and understanding of networking protocols and common network topologies, with a deep understanding of Cloud-based audio and video streaming.
Hands-on cloud virtualization, networking, and orchestration experience.
A combination of React, Javascript, Typescript, C/C++, Python or Go programming skills.
Willingness to be full-stack across both frontend and backend is a must.
Ability to understand customer needs and translate them into functional and user experience enhancements.
Hands-on Linux development experience.
Strong design, coding, analytical, debugging, and problem-solving skills.
Excellent communication, documentation, and presentation skills.
Ways to stand out from a crowd:
Background with data center technologies, network topologies and Cloud.
Experience with Docker, Containers, Kubernetes components & subsystems.
Experience with Proton and other virtualization technologies.
Good understanding of operating systems and drivers.
Experience developing and deploying deep-learning models: LLMs, text-to-speech, and more.
You will also be eligible for equity and .
These jobs might be a good fit

What you will accomplish
Build and maintain eBay’s homepage/CMS backend engineering and machine learning stack
Translate requirements to software design and create clean, efficient, extensible, maintainable code.
Be responsible for a large functional area possessing in-depth knowledge and expertise.
Influence across domain teams and guiding others towards the right technical decisions
Design and build scalable, distributed and high-available systems, ensuring high-performant, responsive website and accessibility.
Provide technical guidance, code review for immediate team and other teams, contribute and review ADRs (Architecture Decision Records), coaching, and mentorship to individual team members within and outside teams.
Lead engineering support, release, and on-call responsibilities.
Identify areas in the team applications and integrate flexibility in the design for these areas
Improving engineering velocity.
What you will bring
6+ years of experience in working in JavaScript, GraphQL REST APIs, messaging systems and/or other backend programming languages.
Hands-on experience building data-driven applications (RDBMS, NoSQL, ElasticSearch)
A deep understanding of building scalable backend applications.
Strong experience delivering results in fast-paced environments (agile, TDD, CI/CD)
Passion for AI technologies (LLMs and Machine Learning)
The base pay range for this position is expected in the range below:
$132,000 - $222,100These jobs might be a good fit