Service Engineer jobs at eBay - 830 jobs

A leading technology company seeks a Machine Learning Engineer to innovate product designs through predictive simulations. This role demands strong expertise in machine learning and finite element analysis with an M.S. or Ph.D. in a related field. Responsibilities include developing ML methods and collaborating with design teams. Competitive pay range is $139,500 to $258,100, alongside comprehensive benefits and opportunities for stock ownership. #J-18808-Ljbffr

San Francisco Bay Area, California, United States Software and Services The iPhone revolutionized how people live, communicate, and connect. The iPad changed how people define a computer. Come help build the iconic user experiences and delightful interfaces that millions of customers use and love every day. The Notifications and Focus team is looking for a creative, customer-focused engineer to help push the iOS and iPadOS user experience forward. Come work with an energetic, hardworking team of engineers, multi-functional teams, and world‑class designers to deliver the best mobile experience on the planet! Description Are you passionate about building software that is used by millions of people every day? Have you ever wondered what backs the notification system employed by iOS, watch OS, vision OS, and mac OS? How services like Focus interact with the rest of the system to allow for personalization and intentional use? How all of the beautiful, fluid animations in iOS are achieved? How to make services and technologies that fundamentally make iOS, well… iOS? As an engineer on the Notifications and Focus team, your responsibilities will range from defining, designing, and implementing new features and interfaces, to fixing bugs, iterating on features, and focusing on performance. You should have a strong understanding of object‑oriented software design, good debugging skills, and an eagerness to tackle tough problems and learn from amazing teammates. Minimum Qualifications Bachelor of Computer Science or equivalent work experience Strong sense of ownership and accountability Comfortable operating in ambiguity and defining the right solution, not just implementing one Knowledge of Apple's development APIs and experience developing apps with UIKit or SwiftUI Exceptional problem solving, critical thinking, and communication skills Preferred Qualifications Familiar with the challenges of working in large codebases Versed in modern software development methodologies Excellent object‑oriented programming and design skills Excellent understanding of optimization and performance issues across OS software layers At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

San Francisco Bay Area, California, United States Machine Learning and AI The Siri organization is looking for passionate Machine Learning Systems Engineers to join us in developing and shipping state-of-the-art generative AI technology to advance Siri and Apple Intelligence for Apple's customers. Siri is being elevated by the huge opportunities that AI brings. The organization is responsible for training on-device & cloud models, evaluating various approaches, pushing the envelope with the latest generative AI research developments, and ultimately delivering product-critical models that power Siri and Apple Intelligence experiences. These models ship across a wide range of products at Apple, including iPhone, Mac, Apple Watch and more, enabling millions of people around the world to get things done every day. Our team provides an opportunity to be part of an incredible research and engineering organization at Apple. By joining the team, you will work with highly talented machine learning researchers and engineers, and work on meaningful, challenging and novel problems. Description As a Machine Learning Systems Engineer, you will work closely with Siri modeling teams and other cross‑functional teams to optimize model training and inference. You will be working across the ML stack at Apple, finding opportunities to make models performant, train quicker, and run faster on Apple's custom Silicon. You will join a team that spans data, modeling, evaluation, deployment and collaborate with engineers across ML infrastructure, inference, and framework teams. You will write production‑level code to train and deploy models that will impact Apple's customers and enrich their lives. You are an ideal candidate if you: Are not afraid of CUDA OOM or NCCL errors Can dig deep into an ML library to understand how tiny details impact the model Can understand complex ML systems that include data, training pipeline, export, and inference engine Minimum Qualifications Experience in model lifecycle of training, evaluation, and deployment of models Strong understanding of Machine Learning (ML) model architectures (e.g. Transformers, CNN) and ML training loop Strong proficiency in Python and ML framework such as PyTorch Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent industry/project experience Preferred Qualifications Collaborative with experience working in large inter‑teams projects Expertise in ML and LLM optimization such as quantization, KV Cache, Speculative Decoding Familiarity with ML training methodologies such as FSDP, DDP, and other parallelism Experience in an LLM training/evaluation library such as HuggingFace transformers, lm evaluation harness, Megatron‑LM Experience in optimizing LLM models and deploying LLM models Proficiency in a compiled programming language (e.g. Swift, C/C++, Java) At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

A leading technology company is seeking a Machine Learning Engineer to contribute to the development of Siri. You will work on designing and optimizing machine learning algorithms and collaborate cross-functionally at Apple. The ideal candidate will have strong programming skills and experience in machine learning. Salary base range is $126,800 to $220,900, with additional benefits including stock options and comprehensive healthcare. #J-18808-Ljbffr

Sunnyvale, California, United States Machine Learning and AI Want to ship amazing experiences in Apple products? Be part of the team in the Video Computer Vision (VCV) organization that focuses on people understanding from real-time video streams and building higher level reasoning algorithms. VCV delivered features such as Face ID, RoomPlan as well as many other computer vision algorithms powering Apple Vision Pro, iPhone, and iPad. We focus on a balance of research and development to deliver Apple quality, pioneering experiences. Come shape Apple products as a driven and dedicated ML Infrastructure and Data Engineer to push the limits of ML algorithms with hands‑on work and real world and simulated data, in an innovative team and be part of building the next big thing. Description As part of the Video Computer Vision (VCV) team, you will help us create the data and infrastructure ecosystem needed to support our ML development and continuously improve our features. We take full end-to-end ownership of our services and data products, driving them through every stage meticulously, encompassing conception, design, implementation, deployment, and maintenance. As a result, each one of us takes our responsibilities seriously. In this team, you'll have the opportunity to work on complex problems in close partnership with our ML engineers, data scientists and software integration teams. Minimum Qualifications Bachelor's degree in Computer Science or related discipline, and 2 years relevant industry experience. Strong foundational knowledge in Computer Science. Extensive programming experience in Python. Hands‑on experience with cloud providers (AWS, GCP, or Azure). Strong understanding of core infrastructure concepts (e.g., compute, networking, storage, containers, Kubernetes). Preferred Qualifications Experience with machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment. Proficiency with cloud computing and distributed data processing infrastructure and tools (e.g., Ray, Spark, Trino). Hands‑on experience with CI/CD pipelines and practices. Familiarity with Infrastructure as Code (IaC) tools (e.g. Terraform, Pulumi, or CloudFormation). Experience building on LLMs or other generative models. Ability to drive projects from concept to production, balancing business needs with technical quality and timely delivery. Excellent communication skills, ability to work both independently and multi‑functionally. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

A leading technology company based in Santa Clara, California, is seeking a Staff Machine Learning Engineer to enhance AI features across Apple products. The ideal candidate will have extensive experience in machine learning, particularly in reinforcement learning and large language model post-training. This role promises a competitive salary, stock options, and a comprehensive benefits package including medical, dental, and education reimbursement. #J-18808-Ljbffr

A leading technology company in California is seeking an experienced engineer to work on innovative wireless power products. The role involves design, simulation, and analysis using advanced techniques in electromagnetics and finite element analysis. Candidates should have a strong background in relevant technologies and a passion for tackling complex challenges. Competitive salary range of $147,400 to $272,100 based on qualifications and experience, along with comprehensive benefits. #J-18808-Ljbffr

A leading technology company based in San Francisco is looking for a creative engineer to enhance the iOS and iPadOS user experience on the Notifications and Focus team. Responsibilities include defining, designing, and implementing innovative features, fixing bugs, and improving performance. The ideal candidate should hold a Bachelor in Computer Science, demonstrate ownership, communication skills, and experience with UIKit or SwiftUI. Competitive compensation and comprehensive benefits are offered, including employee stock programs. #J-18808-Ljbffr

The Platform Engineering & Emerging Technology (PEET) Amazon Dedicated Cloud team is hiring for a System Development Engineer to support CloudTrail, AWS Config, and other AWS services! You'll design, deploy, monitor, and automate infrastructure, tools, and systems to provide a highly‑available and resilient platform for our customers' and our team's workloads. Would you like to implement innovative cloud computing solutions and solve the world's most complex technical problems? Do you have a deep passion and desire to engineer and operate the world's largest cloud computing infrastructure to build a better world for future generations? This is an exciting opportunity to use the latest cloud computing technologies to help U.S. Government agencies implement innovative cloud computing solutions and solve technical problems. AWS established a specialized group of service teams responsible for the work we are doing with the U.S. Intelligence Community. We are building some of the largest and most complex distributed systems in the world, and we need adaptable people to help us implement and operate them. The PEET team supports the operations of the CloudTrail, AWS Config, and other AWS services in ADC regions and builds the services in new ADC regions and features. This specific role will also support our development team, which creates solutions to solve ADC builder and customer pain points. We are seeking a talented engineer skilled in the art of integration who understands the Agile mindset and DevOps philosophies, yet is not constrained by how “things are usually done” and is willing to decompose and reinvent systems, processes, and tools. We're looking for an experienced builder to solve problems for some of the largest compliance and governance services on the planet; if you possess that rare mix of depth in Operations, Networking, and Systems Engineering then we are waiting for your application. This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. Key Responsibilities Design, deploy, monitor, and automate infrastructure, tools, and systems to provide a highly‑available and resilient platform for our customers' and our team's workloads. Perform on‑call responsibilities, typically one week in every eight. Work to ensure that systems are fault tolerant and resolve root causes to prevent repeated paging. A Day in the Life You'll roughly spend 50 % of your time operating production systems and 50 % making long‑term improvements to the reliability, availability, and performance of those software systems. An example week could look like: Monday morning you root‑cause why some deployments recently failed, and in the afternoon you fixed those bugs. Tuesday you realized there's a common thread to those bug fixes yesterday, and designed a solution to that class of problem; you sought feedback from your team. Wednesday you investigated a Service Level Objective (SLO) that recently became less useful, dug deep and updated the threshold and infrastructure as code to fix it. Thursday and Friday you continued the design and prototype for a new solution you pitched to automate dependency analysis and testing in region. Basic Qualifications 2 + years of non‑internship professional software development experience. 1 + years of designing or architecting design patterns, reliability, and scaling of new and existing systems. 3 + years of administrative experience in networking, storage systems, operating systems and hands‑on systems engineering. Experience programming with at least one modern language such as Java, Python, Golang, PowerShell, or Ruby. Current, active US Government Security Clearance of TS/SCI with Polygraph. Preferred Qualifications Experience automating, deploying, and supporting large‑scale infrastructure. Experience with CI/CD pipelines, build processes. Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Compensation ranges from $116,300 to $201,200 per year, depending on location and experience. Base pay is complemented by equity, sign‑on payments, and benefits. #J-18808-Ljbffr

Apply Bachelor's degree in Electrical Engineering or equivalent practical experience. 5 years of experience with advanced design, including clock/voltage domain crossing, Design for Testing (DFT), and low power designs. Experience with System on a Chip (SoC) cycles. Experience in high-performance, high-frequency, and low-power designs. Preferred qualifications: Master's degree in Electrical Engineering. Experience in coding with System Verilog and scripting with TCL. Experience with VLSI design in SoC or multiple-cycles of SoC in ASIC design. Experience with layout verification and design rules. About the job Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. In this role, you will be part of a team developing SoCs used to accelerate Machine Learning (ML) computation in data centers. You will collaborate with members of architecture, verification, power and performance, physical design etc. to specify and deliver high quality designs for next generation data center accelerators. You will solve technical problems with innovative micro-architecture and practical logic solutions, and evaluate design options with complexity, performance, power and area in mind. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities Define and drive the implementation of physical design methodologies. Take ownership of one or more physical design partitions or top level. Manage timing and power consumption of the design. Contribute to design methodology, libraries, and code review. Define the physical design related rule sets for the functional design engineers. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

A leading technology company is looking for a Machine Learning Infrastructure Engineer in Sunnyvale, California. You will develop data ecosystems and infrastructure for ML projects, partnering closely with engineers and scientists. Candidates should have a Bachelor's in Computer Science and experience with cloud providers, as well as strong programming skills in Python. This is an opportunity to be a part of innovative projects that influence the next generation of technology. #J-18808-Ljbffr

corporate_fare Google place Sunnyvale, CA, USA Apply Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 1 year of experience with physical design. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. Experience with scripting languages such as Perl, Python, or Tcl. Experience with constraints, synthesis or clock tree synthesis (CTS). Experience in block/subchip level place and route for SoC or with multiple-cycles of SoC in ASIC design. About the job In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting‑edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML‑driven systems. As a Physical Design Engineer, you will collaborate with RTL, design for testing (DFT), floorplan, and full‑chip signoff teams. Additionally, you will solve technical problems with micro‑architecture and practical logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting‑edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world‑leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full‑time position is $113,000-$161,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Participate in the physical design of blocks for TPU chips. Contribute to the design and closure of the subchip and individual blocks from RTL-to-GDS. Collaborate with RTL/Design and physical design (PD) teams to achieve the best power/performance/area (PPA) possible. Conduct feasibility studies for new microarchitectures as well as optimizing runs for best quality of result (QoR). Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

corporate_fare Google place Sunnyvale, CA, USA Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Apply link Copy link Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 4 years of experience with physical design. Experience in physical design areas such as synthesis, place and route, Static Timing Analysis (STA), verification, or power analysis. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. Experience in block/subchip level PnR for complex SoC. Experience with multiple-cycles of SoC in ASIC design. Experience with scripting languages such as Perl, Python, or Tcl. Experience with layout verification and design rules. Experience in IP integration (e.g., memories, IO's and Analog IP) with the knowledge of semiconductor device physics and transistor characteristics. About the job In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. As a System on a Chip (SoC) Physical Design Engineer, you will collaborate with Register-Transfer Level (RTL), Design for Testing (DFT), Floorplan, and full-chip Sign off teams. Additionally, you will solve technical problems with innovative micro-architecture and practical logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities Participate in the Physical Design of blocks for complex Tensor Processing Unit (TPU) chips. Contribute to the design and closure of the subchip and individual blocks from Register-Transfer Level-to-Graphic Design System . Collaborate with RTL/Design and Product Development teams to achieve the best Power Performance Area (PPA) possible. This includes conducting feasibility studies for new micro-architectures as well as optimizing runs for best Quality of Results (QoR). Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

Apply Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Qualifications PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. Academic, educational, internship, or project experience with physical design. Preferred qualifications Experience in scripting using Languages like Python, Tcl, Perl. Proficiency in fundamental SoC architecture and hardware description languages such as Verilog, facilitating effective collaboration with logic design teams to resolve timing issues. Knowledge of fundamental VLSI and physical design principles, including expertise in semiconductor device physics and transistor structures (e.g., finfet, Gate all around). Understanding of Static Timing Analysis(STA), Clock Domain Crossings (CDC), clock/power distribution and analysis, RC extraction and correlation, place and route, circuit design and analysis. Understanding of standard cells, SRAMs, power, noise, and IR analysis. About the job In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting‑edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML‑driven systems. As a Physical Design Engineer, you will collaborate with Register‑Transfer Level (RTL), Design for Testing (DFT), floorplan, and full‑chip sign off teams. Additionally, you will solve technical problems with innovative micro‑architecture and practical logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting‑edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world‑leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full‑time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities Participate in the physical design of blocks for complex Tensor Processing Unit (TPU) chips. Contribute to the design and closure of the subchip and individual blocks from Register‑Transfer Level‑to‑Graphic Design System (RTL2GDSII). Collaborate with RTL/Design and Product Development teams to achieve the best Power Performance Area (PPA) possible. This includes conducting feasibility studies for new micro‑architectures as well as optimizing runs for best Quality of Results (QoR). Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

A global technology company in Mountain View is seeking a Senior Silicon Physical Design Engineer to lead physical design methodologies. This role requires 5+ years of advanced design experience, particularly in SoC cycles and low power designs. The ideal candidate holds a Bachelor's or Master's in Electrical Engineering and is skilled in System Verilog and TCL scripting. You'll drive innovations that power the next generation of hardware across Google's data centers. #J-18808-Ljbffr

A financial technology company is seeking a Principal Machine Learning Engineer in Mountain View, California. This role involves leading AI strategy and deploying AI/ML solutions across financial products. Candidates should have over 10 years of experience in ML development, a Master's or Ph.D. in Computer Science, and expertise in Python and modern ML frameworks like TensorFlow and PyTorch. Competitive compensation and benefits are offered. #J-18808-Ljbffr

A leading technology company in California seeks a Staff Machine Learning Engineer to architect and implement advanced ML solutions, focusing on enhancing guest and host experiences. The role requires extensive software engineering experience and a passion for building ML-powered products. As a mentor, you will guide engineers and promote AI/ML skill development within the organization. The position includes opportunities to shape innovative projects from inception to production. #J-18808-Ljbffr

A leading hospitality platform in San Francisco is seeking a Staff Machine Learning Engineer to enhance guest and host experiences through cutting-edge machine learning models. In this role, you will work with large datasets, collaborate with cross-functional teams, and contribute to improving product experiences using ML. Ideal candidates should have extensive experience in applied machine learning, proficiency in programming, and a collaborative mindset. This position offers competitive compensation and opportunities for professional growth. #J-18808-Ljbffr

At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. Looking for a company where you can shape how the world buys, sells, and gives? Where you'll be part of a work culture that's been genuinely committed to diversity and inclusion since its founding more than 25 years ago? Where you can just be yourself, do your best work, and have a meaningful impact? If so, we'd love to talk to you. Every day, millions of users sell and ship their wares using eBay. Our team supports this diverse community by building shipping products around the globe, helping individual sellers and small businesses to meet the growing expectations of online buyers. We are an agile team who adapt quickly and stay curious. Join us to make an impact on one of the world's largest e-commerce websites. About the team: eBay is looking to hire a passionate, collaborative and motivated Backend Software Engineer to work in eBay Live, While this type of real-time platform has gained broad acceptance in APAC, the adoption of live shopping in the Americas and EMEA is still relatively low, and we're working to be the platform of choice for this emerging trend. You can read about some of the cool projects the team is working on: eBay Launches Live Shopping for Collectibles What you'll do and learn: Translate requirements to software design and create clean, efficient, extensible, maintainable code. Practices evidence-centered design making features testable, ensuring high quality and improving velocity in continuous delivery. Manage project features, break into sub-tasks, identify and resolve issues for efficient execution. Provide technical guidance, code review for immediate team and other teams, coaching, and mentorship to individual team members. Identify gaps and issues across systems and functional areas, propose solutions, build the engineering roadmap, and drive resolution. Leads and improves E2E testing quality and increases delivery velocity across features. Lead engineering support, release, and on-call responsibilities for an "always-on" 24/7 site. Responsible for sub-systems within a large domain, possessing in-depth knowledge and expertise. Taking full responsibility for the entire software life cycle, including design, development, testing, deployment, observability and monitoring. Serve as a key player in influencing and guiding others towards the right technical decisions. Identifying areas of features likely to change and integrating flexibility in the design for these areas improving engineering velocity. Collaborate effectively with cross-functional partners to develop innovative solutions that adhere to development goals and principles. What you bring: Innovative, team player, excellent communication and decision-making Strong sense of ownership and interpersonal skills to work effectively across teams Strong learning ability, self-driven Excited about new and innovative technologies within immediate field of expertise Attending knowledge sharing sessions, both within the company and externally Learning transferable skills What we bring: Exciting Product Mission with Impactful Technical Challenges - Dive into the heart of eCommerce innovation at Buyer Experiences, where we're transforming eBay's shopping journey. By focusing on simplification, personalization, and modernization, we aim to build world-class buyer and seller experiences on eBay marketplaces with creativity and passion. Utilizing cutting-edge technologies like Generative AI, you'll tackle complex challenges that directly improve the shopping experience for millions of eBay users everyday. Vibrant Culture - At Buyer Experiences, our strength lies in our diversity, transparency, and collaborative spirit. Our open culture ensures every voice is valued and heard. We celebrate our successes together and approach each challenge as an opportunity for collective growth. Be a part of a dynamic community that not only values your expertise but is also committed to your personal and professional growth. Flexible Working - Enjoy exceptional support for remote work, allowing you to balance your professional and personal life seamlessly. Competitive Compensation and Benefit - No matter where you are in the world, eBay supports your health and wellbeing with benefits as unique as you. Explore the benefits that help you be your best self. Check out our benefits here: **************************************** Qualifications: Bachelor's degree in EE, CS or other related field. 6+ years of experience in working in Java, GraphQL, Spring/Springboot, REST APIs, messaging systems and/or other backend programming languages. Building data-driven applications (RDBMS, NoSQL, ElasticSearch) Delivers results in fast-paced environments (agile, TDD, CI/CD) Excellent problem-solving, organizational, and analytical skills. Excellent communication skills to collaborate across teams. Deep understanding of software development processes and standard methodologies, modern DevOps principles and continuous delivery Proven experience in building large, reliable, scalable distributed systems Work closely w/ colleagues and customers in different functional groups and remote offices Familiarity with shift left approach is a plus Past experience with Live Commerce or Live Streaming System is a big plus Experience on WebSocket is a big plus The applicable base pay range for this position is dependent on work location. The base pay range in the San Francisco Bay Area, New York City Metro and Seattle Metro is expected in the range below: $166,400 - $222,100 The base pay range for all other U.S. work locations is expected in the range below: $115,200 - $199,700 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. The base pay range for this position is expected in the range below: $210,400 - $280,900 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at ***************. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.