UNIX Support Engineer Jobs in Cupertino, California

Posted 13 hours ago

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Staff ML Engineer, On-Device Platform Intelligence

Apple Inc. Cupertino, CA

Apple Inc. in Cupertino, CA is seeking a Staff Machine Learning Engineer to lead the design, development, and deployment of machine learning models optimized for on-device training and inference.You will partner with the Apple Neural Engine team to profile performance, draft architecture documents, and drive deployment strategies across platforms. You will mentor engineers, shape team practices for on-device ML, review code, and help build a culture grounded in rigor and collaboration.#J-18808-Ljbffr

Posted 13 hours ago

Immediate Start

Senior Software Engineer - Platform Apps & Technologies

Socket.dev Cupertino, CA

Our team builds the platform Apple's engineers use to work with AI agents: the coding agents themselves, the registry and marketplace that distributes the tools and extensions they run, and the sandboxing, identity, and supply-chain controls that make it safe to give an agent real access. We work closely with frontier labs and the teams that run Apple's model-serving infrastructure to bring the best models into engineers' hands quickly and safely. Our customers are Apple's own developers, MLEs, and data scientists — the people building the products Apple customers love. We're a small team with unusually wide surface area. In a given month you might harden a CLI that ships to thousands of engineers, isolate an agent inside a VM, design the trust model for a plugin ecosystem, or make a new model available across every harness we support. We ship on short cycles and we live on everything we build. Our systems have to scale, stay highly available, and "just work." That's a tall order, and we're looking for talented and passionate engineers who love dealing with such challenges.DescriptionWe're looking for a backend engineer to own and grow the service behind our marketplace and plugin ecosystem — the system that lets Apple's engineers discover, install, and trust the MCP servers, plugins, and skills that extend their agents. This is the registry, the API, and the database that every harness we ship reads from.You'll work across the full backend surface: schema design for a growing catalog of plugins/servers/endorsements, the content hosting and pipelines that ingest plugin source, auth, and the supply-chain checks that keep a plugin marketplace from becoming an attack vector. You'll also help harden the service itself for production: real uptime expectations, safe staging/prod rollouts, and the kind of database and caching decisions that hold up as the catalog and install volume grow. You'll be successful here if you enjoy owning a service end to end and if you like working close to a genuinely new problem space (agent/plugin distribution) where the right abstractions aren't settled yet. You'll collaborate closely with the engineers building the client-side harnesses that consume this API, and with the security-minded reviewers who keep the catalog safe.Minimum Qualifications5+ years industry experience as a Software Engineer working on deploying large-scale systemsStrong understanding in data centric systems, distributed systems, reliability, and cloud servicesHands-on experience in designing and coding large scale systemsProven experience with applied machine learning, data engineering, or similarBachelor in Computer Science or related experiencePreferred QualificationsExperience with developer tools or developer productivity systemsExperience with open source or inner sourceMS in Computer Science or related experience#J-18808-Ljbffr

Posted 13 hours ago

Immediate Start

Platform Backend Engineer for AI Agent Marketplace

Apple Inc. Cupertino, CA

Apple Inc. seeks a Senior Software Engineer to own the backend for Platform Apps & Technologies, including the registry, marketplace, and plugin ecosystem used by Apple's engineers.You will design scalable schemas, build hosting pipelines, and implement authentication plus supply-chain safeguards, while hardening the service for production readiness and collaborating with client-side teams and security reviewers.#J-18808-Ljbffr

ML Engineer: AI Evaluation & LLM Systems

Socket.dev Cupertino, CA

Apple is seeking a Machine Learning Engineer to build systems that measure and improve AI experiences used by millions. You will develop ML models, evaluation frameworks, and scalable infra to understand model behavior and accelerate LLM and multimodal AI research.Collaborate with researchers, software engineers, and product teams to translate cutting-edge research into production-ready solutions, analyze large-scale data, and benchmark AI quality.#J-18808-Ljbffr

AI SoC Modeling Engineer - High-Impact Pre-Silicon

Amazon Cupertino, CA

Amazon is seeking an AI SoC Modeling Engineer for Annapurna Labs/Machine Learning Accelerators to build high-fidelity C++ models of AI accelerators and SoCs, translating architecture specs into testable models. You’ll validate against RTL, work with DV teams, and influence architectural decisions.Role involves collaboration with architects, RTL engineers, and ML software teams, with emphasis on model fidelity, performance modeling, and scalable modeling infrastructure.#J-18808-Ljbffr

Posted 13 hours ago

Senior ML/IR Engineer - Real-Time Large-Scale Search

Apple Inc. Cupertino, CA

Apple Inc. is seeking a Machine Learning/Search Engineer to design and optimize massive, low-latency search systems at scale in Cupertino. You will blend traditional keyword search with vector-based retrieval and build evaluation frameworks that guide real-time improvements.You will collaborate with ML scientists, data engineers, and UX teams to deliver personalized search experiences and leverage latest AI breakthroughs for production-ready systems.#J-18808-Ljbffr

Firmware Engineer — Digital Beamforming ASICs (Space)

BLUE ORIGIN Cupertino, CA

Blue Origin in Cupertino, CA is seeking an experienced firmware engineer to develop low-level firmware for the Digital Beamforming ASICs in the TeraWave system. You’ll collaborate with hardware and communications engineers to implement firmware interfaces and ensure reliable operation.The role requires 10+ years in firmware, C programming, and hands-on experience with pre- and post-silicon bring-up, RTOS, and hard real-time systems.#J-18808-Ljbffr

Posted 13 hours ago

AI Evaluation Engineer for LLM & Multimodal Systems

Apple Inc. Cupertino, CA

Apple Inc. in Cupertino, California, is seeking a Machine Learning Engineer to build evaluation systems and scalable infrastructure for AI experiences across Apple products.You will develop models, evaluators, and methodologies to measure and improve quality of LLMs and multimodal AI, working with ML researchers, software engineers, and product teams. You will translate research into production-ready solutions, analyze large-scale data, and push innovative benchmarking approaches to advance AI#J-18808-Ljbffr

Senior ML Compiler Engineer — Flexible, High-Impact AI

Amazon Web Services (AWS) Cupertino, CA

AWS Neuron compiler team is seeking a senior software engineer to build the next generation compiler that transforms ML models into executable code for AWS Inferentia and Trainium. You will collaborate with chip architects, runtime/OS engineers, and ML Apps teams to deliver high-performance, cost-efficient software, contribute to open-source ecosystems, and ship features for developers worldwide.You will also engage with external open-source communities and participate in pre-silicon design,#J-18808-Ljbffr

Senior ML Compiler Engineer (NKI) – Scale ML Workloads

Amazon Web Services (AWS) Cupertino, CA

Amazon Annapurna Labs (U.S.) Inc. seeks a Sr. Machine Learning Compiler Engineer to lead the ground-up development and scaling of a compiler for the world's largest ML workloads. You will architect and implement core features, publish cutting-edge work, and mentor a team of engineers, while collaborating closely with AWS ML teams.A background in machine learning and AI accelerators is preferred but not required. Candidates must be willing to relocate to Seattle, Cupertino, or Austin.#J-18808-Ljbffr

AI SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS

Amazon Cupertino, CA

AI SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWSAWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds C++ models of these custom SoCs that RTL designers, verification engineers, and software teams depend on throughout the silicon development lifecycle. We're looking for a modeling engineer to build and own models that directly impact how our chips are designed, verified, and brought to production.What you'll do:Develop and maintain high-fidelity functional model of AI/ML accelerator and its SoC subsystems, including compute engines, memory hierarchies, on-chip interconnects, and data paths — translating architecture specs and RTL behavior into accurate, testable C++ modelsValidate model behavior against RTL simulations, emulation platforms, or silicon measurements; debug discrepancies and drive model-to-RTL correlation to high fidelityPartner with design verification teams to integrate models into pre-silicon validation environments and catch architectural bugs early in the design cycleCollaborate with architects/micro-architects, RTL design engineers, ML SW engineers, and compiler engineers to evaluate architecture and microarchitecture tradeoffs and help make hardware design decisionsContribute to cycle-approximate performance model effort enabling architectural exploration ahead of RTL availability, early software developmentQuantify system-level tradeoffs across compute, memory bandwidth, networking, and storage to influence reference architectures and long-term silicon strategyBuild and improve modeling infrastructure: simulation frameworks, regression suites, automated correlation checks, and coverage-driven validation flowsDevelop modeling methodologies and tools that scale across multiple IP blocks and SoC generations, improving team efficiency and model reuseWhy this role is interesting:Your models are used to verify silicon before it's built — bugs you catch save months of schedule and millions of dollarsYou'll work at the intersection of software engineering and chip design, with deep visibility into how custom ML accelerators are architectedAs the team scales, there's a clear path into architectural modeling — using your models to influence chip design decisions, not just validate themSmall team, high ownership, direct impact on AWS's most strategic silicon programsYou will thrive in this role if you:Have built functional or performance models of SoCs, ASICs, GPUs, CPUs, or IP blocksAre comfortable working with architectural / design specifications or reference implementations and translating them into C++ or SystemC modelsUnderstand verification concepts and have worked with DV teams or in pre-silicon validation environmentsCare about model fidelity and have experience correlating models against RTL or siliconAre interested in expanding into architectural performance modeling as the team growsEnjoy working on a small, high-impact team where you own significant pieces of the stackNo ML background needed. You'll learn the ML accelerator domain on the job.This role can be based in Cupertino, CA or Austin, TX.Basic QualificationsExperience programming languages such as C/C++, Python, Java or Perl2+ years writing functional or performance models of hardware (SoCs, ASICs, GPUs, CPUs, IP blocks)Familiarity with SoC, CPU, GPU, and/or ASIC architecture and micro-architecturePreferred Qualifications2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceExperience working with DV teams or integrating models into verification flowsExperience with SystemC or TLM-based modelingExperience correlating functional models against RTL simulation or emulationExperience developing or calibrating performance modelsFamiliarity with Modern C++ (20 and beyond)Experience with PyTest, GoogleTest, or similar test frameworksExperience with multi-threaded simulationAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annuallyUSA, TX, Austin - 143,700.00 - 194,400.00 USD annuallyImportant FAQs for current Government employeesBefore proceeding, please review the following FAQshttps://www.amazon.jobs/en/faqs#faqs-for-us-government-employees#J-18808-Ljbffr

Quick Apply

Senior Software Engineer, AI Tools – Special Projects

Apple Cupertino, CA

SummaryApple’s next generation of intelligent experiences requires new ways for engineers, designers, animators, roboticists, and researchers to explore, visualize, and shape how AI systems behave. We’re looking for a senior tools engineer who can build the applications, pipelines, and creative workflows that make this possible — from interactive data visualization tools to content creation utilities, user-study data collection systems, and annotation platforms. You will develop the software that empowers Apple teams to understand complex, multi-modal data, prototype intelligent behaviors, and craft delightful user experiences. Your work will directly influence how Apple builds, evaluates, and iterates on AI-driven features across devices and platforms.DescriptionOur team works at the intersection of hardware, software, and intelligence. We design the systems, infrastructure, and tools that enable Apple’s next generation of AI-driven experiences — from on-device middleware and distributed inference platforms to large-scale data pipelines, interactive analytics, and advanced developer tooling. We collaborate closely with hardware, robotics, ML, design, and platform teams to build end-to-end solutions that are performant, intuitive, and deeply integrated into Apple’s ecosystem. The work is hands‑on, highly cross‑disciplinary, and central to shaping how Apple’s intelligent systems evolve.ResponsibilitiesDesign and build interactive tools for data visualization, analysis, introspection, and scenario replay across multi‑modal datasetsDevelop content creation and workflow tools for animators, designers, and roboticists, including standalone macOS/iOS/visionOS applications or integrations/plugins for 3D authoring environmentsCreate data collection systems that support user studies, multi‑device interactions, and experiment workflowsDevelop annotation and labeling tools that support large‑scale dataset creation and evaluationArchitect scalable applications that interact with real‑time data pipelines and cloud‑backed servicesDefine and refine creative and technical workflows, enabling teams across product development to ideate, experiment, and iterate more effectivelyWork closely with AI, robotics, design, and platform teams to gather requirements, propose architectural approaches, and deliver scalable solutionsParticipate in architecture reviews, establish best practices, and help ensure quality, maintainability, and performancePrototype novel ideas, explore emerging technologies, and guide the evolution of Apple’s AI tooling ecosystemMinimum QualificationsProven experience developing high‑quality tools with intuitive workflows for technical or creative professionalsProficiency in Swift, SwiftUI, Objective‑C, or C++, with strong experience developing for macOS and iOS (visionOS experience strongly preferred)Experience developing software in Python, including scripting, pipelines, or backend integrationsExperience working with 3D content creation tools or environments (e.g. Maya, Unity, or Unreal)Understanding of system architecture, including multi‑device workflows, real‑time data handling, and cloud‑connected applicationsStrong grasp of Apple development tools and frameworksAbility to design modular, maintainable architectures and decompose complex requirements into practical, high‑impact featuresDemonstrated success collaborating with cross‑functional teamsExcellent problem‑solving, debugging, and communication skillsBachelor’s or Master’s degree in Computer Science or related technical field, and 5+ years of industry experiencePreferred QualificationsExperience with 3D animation workflows, including rigged characters, blendshape systems, or runtime animation frameworks (e.g. RealityKit or game‑engine animation systems)Experience with 3D content creation pipelines and familiarity with common formats such as USDKnowledge of modern rendering techniques, including MetalExperience developing connected applications backed by large‑scale data storage and cloud servicesExperience with data visualization, data mining, or analytics toolingFamiliarity with creative pipelines in animation, simulation, robotics, or game developmentExperience building annotation tools, labeling systems, or user‑study data pipelinesExperience with game engines or spatial computing environments (e.g. Unity, Unreal, or RealityKit)Understanding of interaction paradigms for spatial interfaces or AR/VR workflows#J-18808-Ljbffr

AIML Engineer: Build Scalable ML Pipelines & GPU Systems

Apple Inc. Cupertino, CA

Apple Inc. in Cupertino, California, is seeking an AIML - Machine Learning Engineer for MLX, MLR to join the Machine Learning Research team. You will collaborate with researchers and software engineers to build scalable training and research pipelines on Apple silicon.The role focuses on high-performance software for novel ML algorithms, helping advance ML toolboxes and contribute to future research software in a dynamic team.#J-18808-Ljbffr

Acoustic Engineer

Kelly Cupertino, CA

1 day ago Be among the first 25 applicantsGet AI-powered advice on this job and more exclusive features.Direct message the job poster from KellyType: Contract W2 (NO C2C/NO Hourly Referral)Key QualificationsStrong MATLAB development background specifically in complex UI Development (mandate)Experience with data formatting and parsing (mandate)Experience understanding engineering workflowsUX design experience is a plusMinimum 3 – 5 years of experience in Matlab DevelopmentFocus is on workflow development more than software developmentDesign-minded: Critical of the status quo. Doesn’t settle for clunkiness.Strives for seamless user experience, balancing flexibility and modularity with streamlined user flowsExperience developing applications involving database construction and navigation, data visualization, and complex user flowsExperience with statisticsExperience working with vendorsDescriptionYou will develop complex graphical user interfaces for our team for acoustic data analysis and visualization. This includes working with vendors on data gathering, formatting and parsing data and developing user-friendly tools.Seniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeContractJob functionJob functionEngineering and Information TechnologyIndustriesComputers and Electronics ManufacturingReferrals increase your chances of interviewing at Kelly by 2xGet notified about new Acoustic Engineer jobs in Cupertino, CA.Sunnyvale, CA $110,300.00-$206,000.00 2 weeks agoProject Engineer Associate - Entry LevelAcoustic Transducer Tool Development EngineerSystems Integration Engineer,Thermal SystemsProject Engineer Associate - Entry LevelThermal Materials - Applications EngineerSan Jose, CA $145,000.00-$165,000.00 2 days agoStaff Thermal Systems Integration EngineerThermal Mechanical Design Engineer (Liquid Cooling)San Jose, CA $78,000.00-$80,000.00 4 weeks agoStaff Mechanical Design Engineer, HVAC and ThermalSan Jose, CA $70,000.00-$105,000.00 1 week agoWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.#J-18808-Ljbffr

Work Life Balance

Backend Engineer

Peppr AI (YC W25) Cupertino, CA

Join to apply for the Backend Engineer role at Peppr AI (YC W25)This range is provided by Peppr AI (YC W25). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range$100,000.00/yr - $149,998.00/yrWhat You’ll DoAs a founding backend engineer at Peppr AI, you\'ll architect and build the robust infrastructure that powers our agentic AI platform. You\'ll design PostgreSQL-based systems, implement secure authentication layers, manage cloud deployment pipelines, and help build the foundational systems that let AI agents interface securely with enterprise data.Design and maintain reliable PostgreSQL schemas, indexes, migrations, and backupsBuild secure auth layers: authentication, fine-grained authorization, and RBAC systemsContainerize and deploy services on Kubernetes (or similar), integrating with CI/CD toolingMonitor production performance, latency, reliability, and security across all systemsCollaborate on frontend integration and infrastructure improvementsBonus: Help architect and build AI agent pipelines and orchestration systemsWhat We\u2019re Looking For3+ years in backend development with strong PostgreSQL experienceSolid grounding in cloud platforms: AWS/GCP/Azure, Docker, and KubernetesStrong security awareness: authentication, authorization, and encryption best practicesFamiliarity with API frameworks (FastAPI, Flask, Django)Excellent collaboration and code review habits with a strong team mindsetNice-to-HaveHands-on experience with AI-centric pipelines, vector stores, and agent orchestration (RAG, LangChain, etc.)Experience with cloud infrastructure tools: Terraform, Helm, GitOpsBackground in production-grade security architectures (RBAC, IAM policies)A product mindset and experience shipping end-to-end featuresComfort with ambiguity and rapid iteration in a startup environmentThis role offers the opportunity to shape both our technical architecture and product direction while working on cutting-edge AI infrastructure challenges.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionEngineering and Information TechnologyIndustriesTechnology, Information and Internet#J-18808-Ljbffr

Posted 13 hours ago

Staff Machine Learning Engineer : Platform Intelligence - Apple Maps

Apple Inc. Cupertino, CA

Cupertino, California, United States Machine Learning and AIApple Maps and the thousands of applications it empowers are being used by millions every single day! As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. We are looking for a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning models optimized for on-device training and inference. You will partner with a variety of subject experts across the company to build intelligent features and personalized maps experiences. This role involves collaborating with various partners, from engineers to designers, to architect the best overall system. If you are excited about delivering intelligent, responsive, and personalized experiences to millions of users, we invite you to apply for the job and join us!DescriptionApple Maps Client is looking for a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning models optimized for on-device training and inference. Partnering with the Apple Neural Engine team to profile model performance, identify bottlenecks, and push the limits of what's possible on-device. Crafting technical design documents for new ML features is a core part of this role - outlining model architecture choices, performance targets, and deployment strategies. Your work includes building integration code that connects ML models with platform frameworks and APIs. You will lead cross-functional team projects. Beyond individual contributions, you will shape how the team approaches on-device ML. You will establish evaluation frameworks, define quality benchmarks, and write architecture documents that guide the team's direction. You will review code, mentor engineers, and help build a team culture rooted in technical rigor and collaboration.ResponsibilitiesArchitect and deliver on-device ML solutions that meet strict latency, memory, power, and accuracy requirements across Apple platforms.Partner with Services teams on model delivery and update mechanisms( OTA model updates, staged rollouts) and define hybrid inference strategies (on-device vs. server-side).Collaborate cross-functionally with services, platform, and design teams to influence roadmaps, framework capabilities, and user experiences.Mentor and grow junior and mid-level ML engineers, fostering a culture of technical excellence, curiosity, and inclusive collaboration.Champion privacy by design - ensuring ML systems uphold Apple's commitment to user privacy through on-device processing, differential privacy, and minimal data collection.Minimum QualificationsBachelor’s in Computer Science, Machine Learning, Electrical Engineering, or a related field — or equivalent practical experience.Strong software engineering fundamentals in an object-orient programming language, with emphasis on writing production-grade, testable, and maintainable code.Experience with Systems Programming (frameworks/libraries/daemons).7+ years of industry experience in machine learning engineering, with at least 2 years focused on on-device/edge ML deployment.Strong proficiency in ML frameworks and tool chain such as PyTorch, TensorFlow, Core ML, Foundation Models Framework and MLX.Proven track record of shipping ML models into production at scale on mobile or embedded platforms.Preferred QualificationsMaster’s, or PhD in Computer Science, Machine Learning, Electrical Engineering, or a related field — or equivalent practical experience.Familiarity with Swift, and Objective-C.Experience building and operating end-to-end ML pipelines for on-device models - including training, evaluation, conversion, validation, A/B testing, and OTA model delivery.Familiarity with federated learning, differential privacy, and on-device training/fine-tuning paradigms.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 $184,700 and $324,800, 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 BenefitsNote: 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 applicantAt Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.Learn about accessibility in Apple's workplaceLearn about reasonable accommodations for job applicantsApple accepts applications to this posting on an ongoing basis.#J-18808-Ljbffr

Sr. EMIR Engineer, Annapurna Labs - Cloud Scale Machine Learning (AWS)

Amazon Cupertino, CA

Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are used to power today’s AI workloads in datacenters all around the world. As a Sr. EMIR Engineer, you’ll contribute to the EMIR sign-off of our SoCs and help maintain a high bar on quality.We’re searching for an experienced EMIR engineer with a proven track record of handling challenges at scale. In this role, you’ll be working directly with architects, designers, verification engineers, power integrity engineers and physical design experts - defining best practices in power grid design, developing test cases & vectors to model demand currents accurately, modeling & signing-off EMIR taking into account board and package impact, advancing the state-of-the-art in EMIR analysis and modeling.Key job responsibilitiesDesign & analyze power gridsSetup flows for EMIR analysisRun EMIR analysis for large subsystems, SoCsPartner with EDA tool vendors to develop / evaluate new methodologies for EMIR analysisDevelop and maintain dashboards for EMIR rollupsWork with designers, architects, Verification engineers and Physical Design engineers to develop vectors for IR analysis, Thermal analysis and power estimationA day in the lifeDesign and evaluate power gridsWorking with designers, architects and verification engineers to come up with worst-case vectors for power and IR analysisRoot cause causes of low annotation or low switching coverage with vectorsDevelop & maintain dashboards to track EMIR statusRoot cause causes of IR drop and suggest solutions to fixCombine IR analysis of SoC with IR at board and package level (concurrent IR analysis)Do post-silicon power measurements and correlate with simulation.Innovate on ways to model VR, board and package impact on voltage drop more accurately.Partner with EDA tool vendors to develop / evaluate new methodologies for EMIR analysisAbout the teamWe are a start-up like team where no-one says "this is not my job" and you won't find anyone telling you to stay in your lane. This is a fast-paced, intellectually challenging position, and you’ll work with thought-leaders in multiple technology areas. We encourage collaboration and teamwork with multiple teams and engineers including architects, RTL designers, Verification engineers, , Physical Design engineers, Emulation engineers and software engineers.Basic Qualifications5+ years of ASIC implementation, synthesis, STA and physical design in deep sub-micron nodes (16nm or smaller) experienceBS + 6yrs or MS + 5yrs or PhD + 3yr in EE/CSExpert on EMIR analysis tools like Redhawk-SC or Voltus or similarDeep, circuit-level understanding of power, EM and IRAbility to give feedback to RTL designers and Physical Designers on how to reduce IRHighly proficient with scripting language (Tcl, Perl, Python or similar)Good understanding of Physical Design, EM/IR, Power Integrity, and Thermal at the die, package, board, and server levelPreferred QualificationsFamiliarity with Make or similar for automation of EMIR rollupsExperience with RTL design (System verilog)Experience with PnR tools (FusionCompiler or Innovus)Familiarity with Power analysis tools (PrimePower or similar)Familiarity with timing analysis tools (PrimeTime or similar)Some experience with lab equipment and capable of doing lab power analysisAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .USA, CA, Cupertino - 183,000.00 - 247,600.00 USD annuallyUSA, TX, Austin - 159,200.00 - 215,300.00 USD annuallyImportant FAQs for current Government employeesBefore proceeding, please review the following FAQshttps://www.amazon.jobs/en/faqs#faqs-for-us-government-employees#J-18808-Ljbffr

Posted 13 hours ago

Multimodal AI Research Engineer (Vision & Language)

Apple Inc. Cupertino, CA

Apple Inc. in Cupertino, CA is seeking a Machine Learning Research Engineer (SIML - ISE) to advance multimodal perception and reasoning using Vision-Language Models and Multimodal LLMs.You will collaborate with researchers and engineers to translate product needs into impactful ML solutions for Apple’s ecosystem. The role emphasizes design, experimentation, and evaluation of state-of-the-art models, with a path toward product impact across Apple platforms.#J-18808-Ljbffr

Reliability Test Engineer

RHP Soft Inc Cupertino, CA

Get AI-powered advice on this job and more exclusive features.We are looking for Reliability Test Engineer based at Cupertino, CA (Onsite) | Fulltime position. If interested, please share your resume at [email protected] or you can reach me at 925-353-5966 .Role – Reliability Test EngineerLocation – Cupertino, CA (Onsite with work swing shift.(12-9PM or 3-11PM) )Job Description:3-4 years of hands-on experience in Reliability TestingPreferably experience in the consumer electronics domain or industry.Strong understanding of electronics, hardware, and testing methodologies.Utilize Failure Analysis analytical techniques (Optical Microscopy, X-Ray, SEM/EDS, FTIR, Electrical testing, LIT, TDR, FLIR, etc)Prepare clear and concise test and failure summary keynotes to report data to cross-functional teamsMaintain and follow SOPs for executing material analysis of projects with low complexityOwn equipment calibration/maintenance or ensuring reliability of test dataLearn new methodology and techniques to complete assigned tasks as neededOversee multiple projects simultaneously, prioritizing tasks to ensure deadlines are metSeniority level Seniority level Mid-Senior levelEmployment type Employment type Full-timeJob function Job function Information TechnologyIndustries Computers and Electronics ManufacturingReferrals increase your chances of interviewing at RHP Soft Inc by 2xSign in to set job alerts for “Reliability Engineer” roles. Principal Engineer, Reliability Engineering Santa Clara, CA $128,000.00-$201,250.00 1 day agoReliability Engineer, Thermal & Mechanical, Energy Products Palo Alto, CA $100,000.00-$200,000.00 1 month agoStaff Reliability Engineer, Energy Products Mountain View, CA $94,050.00-$141,550.00 2 weeks agoPalo Alto, CA $180,000.00-$440,000.00 21 hours agoSanta Clara, CA $140,000.00-$264,500.00 4 days agoField Reliability & Quality Engineer, Field Quality, Industrial Energy Products Mountain View, CA $181,000.00-$297,000.00 2 weeks agoSanta Clara, CA $175,000.00-$195,000.00 1 month agoSunnyvale, CA $144,000.00-$211,000.00 2 days agoSan Jose, CA $95,913.00-$144,599.00 10 months agoMachine Learning Engineer, Reliability Engineering Palo Alto, CA $110,000.00-$140,000.00 18 hours agoSanta Clara, CA $100,000.00-$166,750.00 1 day agoField Reliability & Quality Engineer, Field Quality, Residential Energy Products Mountain View, CA $120,000.00-$140,000.00 2 weeks agoSr. Drive Unit Continous Improvement Engineer Join Our MedTech Talent Pool - Engineers, Scientists, Clinical, and R&D Experts San Jose, CA $95,000.00-$113,000.00 1 month agoWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.#J-18808-Ljbffr

Darwin Runtime Engineer, Core OS - Low-Level Systems

Socket.dev Cupertino, CA

Apple's Darwin Runtime team in Core OS is looking for enthusiastic engineers to develop low-level runtime technologies for Apple's operating systems. As a Software Engineer, you’ll work closely with kernel engineers, security architects, and framework developers to deliver foundational technologies that enable iOS, macOS, watchOS, and tvOS.The role emphasizes self-motivation, independence, and the ability to contribute technically while participating in design discussions, code reviews, and#J-18808-Ljbffr

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