Application engineer jobs in Bellevue, WA - 950 jobs

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud‑based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the Role As a Consulting Engineer - Search, you will play a pivotal role in helping our customers realize the value of Elastic's Solutions. Acting as a trusted technical advisor, you will work with enterprises to design, deliver, and scale architectures that improve application performance, infrastructure visibility, and end‑user experience. You'll collaborate with Elastic's Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Observability platform, ensuring customers maximize the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates. What You Will Be Doing Translate business and technical requirements into scalable, outcome‑driven solutions built on the Elastic Stack. Lead end‑to‑end delivery of customer engagements - from discovery and design through implementation, enablement, and optimization. Partner with customers to architect, deploy, and operationalize Elastic solutions that drive measurable value and adoption. Provide technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles. Collaborate cross‑functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement. Capture and share best practices, lessons learned, and solution patterns across the Elastic Services community. Contribute to internal enablement, mentoring, and a culture of continuous learning and collaboration Apply your expertise to optimize queries, tune clusters, and handle high query/indexing throughput at enterprise scale. Collaborate with product and engineering teams to identify product improvements, extensions, and defects based on field feedback Operationalize vector search (e.g., kNN, ANN, hybrid embeddings) with Elastic's vector capabilities and ML models or similar. Profile and tune queries for high‑QPS environments with sub‑second latency targets. What You Bring 5+ years as a consultant, engineer, or architect with deep expertise in Enterprise Search technologies and concepts, including generative AI. Hands‑on experience deploying Elastic Search solutions or similar platforms (Solr, Algolia, AWS OpenSearch, Palantir, Unbxd, e‑commerce site search engines). Strong experience in custom search solution design, query development, relevancy tuning, and NLP use cases. Expertise in distributed systems and large‑scale application infrastructure. Proficiency in at least one programming language; knowledge of open‑source machine learning/AI frameworks preferred. Knowledge or certification in Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, Kafka, Redis, VMs, Lucene. Familiarity with DevOps practices: Docker, Kubernetes, Terraform, CI/CD. Ability to manage delivery from proof‑of‑concept through production rollout, while mentoring client teams for long‑term success. Familiarity with modern NLP and AI ecosystems (transformers, Hugging Face, vector DBs like Pinecone or Weaviate) as applied to search. Strong communication and presentation skills, with experience working directly with customers to gather requirements and deliver solutions. Bachelor's, Master's, or PhD in Computer Science, Engineering, or related field, or equivalent experience. Comfortable working in highly distributed teams, both remote and on‑site when needed. May require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs. Bonus Points: Elastic Certified Engineer certification. Experience at a Big 4 consulting firm. Hands‑on experience with Ansible, Terraform, JavaScript, ECK/Kubernetes. Familiarity with machine learning and AI applied to search solutions. Experience contributing to open‑source projects or documentation. Public speaking experience at conferences, meetups, or enterprise workshops. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company‑matched 401k with dollar‑for‑dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well‑being. The typical starting salary range for this role is: $110,900-$175,500 USD The typical starting salary range for this role in the select locations listed above is: $133,200-$210,700 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People's Republic (“DNR”), and the Luhansk People's Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement. #J-18808-Ljbffr

Amphenol CMT is proud to be an industry leader in the advanced development and manufacturing of critical medical devices that transform and elevate patient care. We specialize in tailored interconnects, precision components, and fully integrated solutions for surgical, robotic, interventional, and general healthcare applications, all crafted to redefine what's possible in modern medicine. Driven by a culture of innovation, collaboration, and lean principles, we deliver exceptional solutions and premium service that set new benchmarks in the industry. Amphenol CMT is a proud part of the global Amphenol family, one of the world's largest providers of high-technology interconnect, sensor and antenna solutions across virtually every end market. Our products Enable the Electronics Revolution and help deliver the future of healthcare. SUMMARY The Applications Engineer plays the role of a technical expert in customer-facing activities such as assessing their needs, informing them of our capabilities, and reviewing customer-supplied design data for accuracy and manufacturability. They blend their industry expertise with knowledge of markets, helping the team prepare to best serve its customers. Additionally, a person in this role acts as a liaison to other engineers and Sales team, to communicate the technical details of the job and to provide update on the progress of setup and manufacturing. *PAID RELOCATION AVAILABLE! ESSENTIAL JOB FUNCTIONS Creates complex technical proposals for customers by integrating knowledge of product, regulatory requirements, market, price point, organizational capabilities, and corporate strategy. Communicates with customer to establish understanding of customer's technical requirements and convey design capabilities, product performance, and organizational expertise. Identifies new business opportunities. Manages customer expectations and balances against internal capabilities for complex and challenging projects, processes, and products. When required, creates, and maintains project schedule, resources, and budget, which includes the generation of milestones required to complete assigned projects. Oversees the establishment and maintenance of a project quality culture that prioritizes compliance, risk management, and operational excellence. Directs the development and implementation of communication plans that effectively convey project status, risks, and successes to all stakeholders, including executive leadership Directs the development and implementation of cost estimate processes in preparation for sales quotations for customer cable assemblies to be manufactured by Amphenol CMT. Directs in a cross functional team a complete technical assessment for each project quoted, determining tooling requirements and cost, testing requirements and adapters required, level of manufacturing data required and determines if further clarification and/or documents are required from the customer. Is someone that can discover problems and present solution options to Customer technical contacts with onsite technical support involving industry standards, medical specifications, design assistance, Amphenol CMT production capabilities, and material requirements. Partner with process engineers to ensure process capabilities align with customer requirements and planned market positioning for growth. Collaborate with Sales team in communication with customers on the progress of a work order. Ensure expected yield levels are appropriate to meet customer requirements. Assist in post-shipment support, such as customer complaints and RMAs. Support Sales team during customer visits and trade shows to showcase product capabilities. *Other duties as required in support of the department and the company* SUPERVISOR RESPONSIBILITIES The responsibilities of this role do not include supervising other employees. QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential job function satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. EDUCATION and/or EXPERIENCE Bachelor's degree in engineering/sciences with 10+ years in related engineering role, required. Advanced technical degree or a degree in management/marketing field, preferred. 5+ years' minimum experience in a flexible printed circuits manufacturing unit. Background in medical industry, preferred. CERTIFICATES, LICENSES, REGISTRATIONS IPC certifications in standards or design, preferred. Project Management Professional (PMP) certification, preferred. Relevant certification in Lean Manufacturing, Six Sigma, or similar methodologies, preferred. SPECIFIC SKILLS and/ or KNOWLEDGE Strong customer focus and interaction - strong interpersonal relationship/customer skills. Exceptional communication skills (written and verbal) with emphasis on active listening and technical documentation. Able to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write technical protocols and reports. Ability to effectively present information and respond to questions from other employees, managers, or customers. Able to travel internationally. Broad engineering abilities and understanding of electrical, mechanical, and mfg/industrial engineering disciplines. Proficient in MS Office Suite and SharePoint. Knowledge of ERP systems, SAP preferred. Ability to view and modify Gerber or DXF data. Ability to read customer drawings and stackups. Excellent analytical, problem-solving, and attention-to-detail skills. Team player with the ability to collaborate with various departments. Strong communication skills to effectively convey standards and procedures. Reliable and flexible to work additional hours on short notice to complete orders or special projects to meet customer or internal demands. Able to work independently with minimal supervision. LANGUAGE REQUIREMENTS Excellent verbal and written communication skills in English. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to use hands to finger, handle or feel; reach with hands and arms; talk and/or hear. The employee frequently is required to sit. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. WORK ENVIRONMENT Manufacturing environment: A work environment in a manufacturing plant is the physical and social setting where goods production occurs. Depending on the type of product, process, and plant, the work environment may vary in terms of noise, temperature, safety, and demand. Common characteristics of a work environment in a manufacturing plant are the use of machinery and exposure to hazards such as chemicals, heat, dust, or noise, with a culture of teamwork, communication, and continuous improvement. ENVIRONMENTAL POLICY Amphenol CMT is fully committed to minimizing the environmental impact of its operations, activities, and products. To achieve this, we adhere to all applicable environmental regulations and laws, prevent pollution, and continuously improve our environmental performance in all our global operations. This is possible through an Environmental Management System that provides a framework for setting and reviewing our environmental objectives and targets. We aim to identify and reduce any negative environmental impact our business activities may have. PERSONAL PROTECTIVE EQUIPMENT REQUIREMENTS ASTM F-2412-2005, ANSI Z41-1999, or ANSI Z41-1991 rated safety toe shoes in specific areas. Clear ANSI Z87.1 safety-rated glasses in specific areas. Hearing protection in specific locations. Ability to compile with JSA in specific areas. EXPORT COMPLIANCE DISCLAIMER This position includes access or potential access to ITAR and EAR (Export Administration Regulations) technical data. Therefore, candidates must qualify as US Persons, defined as US Citizens or Permanent Residents (Green Card Holders). TRAVEL 20% to 50% - to customer sites and Amphenol CMT manufacturing sites as needed. SALARY INFORMATION: According to several states' laws, this position's salary range falls between $130k and $160k annually. However, this salary information is merely a general guideline. When extending an offer, Amphenol CMT considers various factors such as the position's responsibilities, scope of work, candidate's work experience, education/training, essential skills, internal pay equity, and market considerations. Certain roles are also eligible for additional rewards, including merit increases and annual bonus. These awards are discretionary and allocated based on individual and company performance. U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others. U.S.-based employees also receive, per calendar year, up to 11 scheduled paid holidays, up to 80 hours of paid time off and sick paid time off.

A leading technology firm in Seattle is looking for a Principal Member of Technical Staff to support system design, debug and engage with customers on their AMD Instinct™ product line. This role involves leading hands-on validation efforts, optimizing Rack-Scale AI solutions, and influencing product roadmaps. The ideal candidate will have extensive experience in system architecture and debugging, along with relevant academic credentials. The position offers opportunities to mentor and drive technical excellence in a collaborative team environment. #J-18808-Ljbffr

About Oumi Why we exist: Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely. What we do: Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end, from data preparation to production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also develops open foundation models in collaboration with academic collaborators and the open community. Our Approach: Oumi is fundamentally an open-source first company, with open-collaboration across the community as a core principle. Our work is: Research-driven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaborators. Community-powered: We believe in the power of open-collaboration and welcome contributions from researchers and developers worldwide. Role Overview We're looking for our first Pre/Post-Sales Machine Learning Engineer who bridges the gap between technical expertise and customer success. You'll work closely with our customers to design, train, and deploy AI models using Oumi's platform. This role blends solution architecture, applied machine learning, and customer interaction - ideal for someone who loves both building systems and helping others use them effectively. You'll play an important role in shaping not only the direction of the team but also the product. You will collaborate closely with research, product, and engineering teams to ensure customers have a world-class experience using Oumi, while channeling feedback to improve our platform. You will: Drive success with customers: Partner with customers through the pre-sales and post-sales lifecycle - from technical demos and proof-of-concept design to hands-on training and deploying models. Create custom models: Train, fine-tune, and evaluate modern LLMs and other AI models using Oumi's platform. Design AI solution architectures: Work with customers to design scalable ML workflows using best practices in data preparation, training, and deployment. Be a technical advocate: Help customers understand Oumi's capabilities, providing technical insight and translating research innovations into practical solutions. Drive product improvements: Work closely with the product and research teams to surface customer needs and help shape the future of Oumi's platform. Educate & Enable: Develop technical guides, demos, and best practices to help customers and the open community succeed with Oumi. What You'll Bring: Experience: You have 4+ years of experience in applied ML, ML infrastructure, or solution/sales engineering roles. ML Expertise: You bring a solid understanding of machine learning workflows, with experience training or fine-tuning modern foundation models (e.g., LLMs, diffusion models, multimodal systems). Development Skills: You are proficient in Python with a strong understanding of AI/LLM best practices including practical experience with model training frameworks and using LLMs in production environments for modern use cases (e.g. RAG, agents, or agentic systems). Customer-Facing Strength: You have strong experience communicating complex technical concepts clearly and empathetically to both technical and non-technical audiences. Learners Mindset: You can proactively address gaps in your understanding of concepts and are willing to pick up whatever knowledge you're missing to get the job done. Operational Excellence: You can operate in and manage ambiguity while owning problems end-to-end. Values: You embody Oumi's core values: Beneficial for All, Customer-Ossessed, Radical Ownership, Exceptional Teammates, Science-Grounded. Benefits: Equity in a high-growth startup Comprehensive health, dental, and vision insurance 21 days PTO Regular team offsites and events Location: Remote or Hybrid work environment with offices in: Seattle, WA Palo Alto, CA New York, NY #J-18808-Ljbffr

A prominent digital innovation team is seeking a Junior Developer in Seattle to immerse yourself in a diverse technology ecosystem while developing cloud services. This temporary role may lead to a full-time position based on your performance. Candidates should have a bachelor's degree and 6 months of relevant experience. Key qualifications include proficiency in several programming languages, cloud services interest, and a collaborative spirit. Excellent benefits will be available upon full-time conversion. #J-18808-Ljbffr

A leading travel technology company in Seattle is seeking a Machine Learning Engineer III to oversee projects and mentor junior engineers. You will develop and optimize software applications using machine learning methods, particularly with libraries like PyTorch and TensorFlow, while collaborating closely with cross-functional teams. This role requires at least 3 years of experience in machine learning pipelines, as well as a Bachelor's or Master's degree in a technical field. The position offers a competitive salary range of $146,000 to $204,500, with potential performance-based increases. #J-18808-Ljbffr

A leading tech company in Seattle is looking for an innovative NLP researcher to advance its AI features in collaboration software. The ideal candidate will work on cutting-edge NLP research and technologies, aiming to optimize performance and scalability, while collaborating with product managers to implement features. Candidates are expected to have a strong educational background in computer science or related fields. This position offers competitive salary and comprehensive benefits. #J-18808-Ljbffr

A leading social media platform in Palo Alto is looking for a Technical Lead Manager in Ads Conversion Modeling. This role includes leading the User Match Prediction roadmap, developing conversion models, and partnering with various teams to drive performance. Ideal candidates have a strong software engineering background, machine learning knowledge, and 6+ years of relevant experience. The position offers a competitive salary and hybrid work flexibility. #J-18808-Ljbffr

About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release. About the role We are looking to hire a solutions engineer to partner with our sales team to navigate every part of the sales process. In this role, you'll working closely with technical stakeholders at companies ranging from small startups to massive enterprises. Our primary users are software engineers and PMs at world-class tech companies who are working to leverage GenAI. What you'll do Partner with our sales team to articulate the overall Braintrust value proposition, vision, and strategy to customers Own the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility Deliver product and technical presentations to potential and existing customers Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material Ideal candidate credentials 5+ years of experience as a sales engineer or in solutions consulting Ability to connect a customer's specific problems to Braintrust's solutions Proficiency in Typescript and Python Has written prompts / tinkered with GPT models and apps Benefits include Medical, dental, and vision insurance Daily lunch, snacks, and beverages Flexible time off < Competitive salary and equity AI Stipend Equal opportunity Braintrust is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. #J-18808-Ljbffr

A leading tech company is looking for a Principal Machine Learning Engineer to join the Ad Marketplace team. The role involves driving the technical roadmap, designing scalable machine learning models, and collaborating with cross-functional teams to optimize ad delivery. Candidates should have significant experience in machine learning, strong programming skills, and a deep understanding of AI applications. This position offers an opportunity to impact how millions interact with technology in a diverse, inclusive work environment. #J-18808-Ljbffr

A global travel technology company seeks a Machine Learning Engineer III in Seattle. You will design ML-powered features to enhance the traveler experience while collaborating with cross-functional teams. The ideal candidate has a Bachelor's or Master's in a technical field and expertise in programming, machine learning engineering, and cloud services. Benefits include competitive salary, travel perks, and professional development opportunities. #J-18808-Ljbffr

A leading tech company in Seattle is looking for a Principal Machine Learning Engineer to enhance AI-powered contract intelligence solutions. The candidate should have over 10 years of experience in building machine learning products and at least 4 years in ML frameworks such as Pytorch and TensorFlow. This role offers a hybrid work environment promoting flexibility, teamwork, and professional growth, backed by comprehensive compensation and benefits. #J-18808-Ljbffr

Grady Excavating is a heavy civil construction company providing trucking and earthwork services for both public and private projects in the Northwest. We are looking for a Project Engineer. The successful candidate will play an important role in meeting our goals, to be safe, efficient, and productive. WHAT YOU'LL DO: -Project Planning and Control -Estimating, obtain price quotes, take-offs, site visits and other duties as required -Produce, forward, and track Submittals, ensuring that the material submitted meets Owner's spec -Track Project Progress; Change Orders, RFI, progress billing, schedule updates, material invoice approvals, and general project administration -Interact and actively communicate with customers, suppliers and vendors EXPERIENCE AND SKILLS: Strong skills in Project Management, Project Planning, and Project Engineering Effective Communication skills to liaise with stakeholders and project teams Ability to work on-site Strong problem-solving skills Familiarity with construction safety standards and regulations Experience working on WSDOT and Sound Transit projects preferrred. Familiarity with construction safety standards and regulations • Computer proficient, Including Microsoft Office products, Procore, and similar programs • Able to read drawings and specifications, perform take-offs • Excellent writing and organizational skills and the ability to learn fast. • Possess, or be able to Obtain, a Valid Washington Driver's License with an acceptable driving record Compensation: We offer a very competitive benefits package including medical, dental, vision, life insurance and 401(k), as well as paid vacation. You will be provided with a Company pick-up truck, phone, laptop for use. Salary range $90,000 to $120,000 annually, depending on experience. No calls, please. We will contact you if we desire to arrange an interview with you. Thank you. Grady Excavating, Inc. is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

A leading technology company in Seattle seeks an experienced Machine Learning Engineer to develop and deploy cutting-edge AI models. This role emphasizes building robust ML infrastructure and automating pipelines for data and model management. Ideal candidates will have over four years of experience in machine learning and proficiency in programming languages like Java or Python. The position offers a competitive salary, comprehensive benefits, and opportunities for professional growth. #J-18808-Ljbffr

A tech startup specializing in AI solutions is seeking a Pre/Post-Sales Machine Learning Engineer to bridge technical expertise and customer success. In this role, you will partner with customers to design, train, and deploy AI models, shaping the direction of the product and enhancing the user experience. Ideal candidates have over 4 years of experience in applied machine learning and possess excellent customer-facing skills. The role offers a remote or hybrid work environment with comprehensive benefits. #J-18808-Ljbffr

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next‑generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE AMD's Data Center Platform Engineering Group (DPEG) is designing, developing, and delivering innovative technology infrastructure enabling the digital world. We create cloud‑enabling server/rack solutions that help the world's leading companies turn their ideas into reality. Our customers are future‑focused and so are we, always a step ahead of the next challenge. As experts in engineering, manufacturing, and supply chain, we're the bridge between problem and solution for the world's leading OEM & ODM partners and cloud services providers. Our customers depend on us to solve their most complex server/rack design needs. Come and join our Data Center Platform Engineering Group where we are building amazing, powered products with amazing people. AMD is searching for a dynamic and experienced Principal Member of Technical Staff to own system design support, rack‑level bring‑up, and critical customer engagement for our cutting‑edge AMD Instinct™ product line. In this high‑visibility role, you will act as the technical bridge between AMD's internal system architects, platform development teams, and our OEM partners. You will not only influence the design and architecture of AI solutions but also lead hands‑on debug and validation efforts at customer locations. As a technical leader, you will drive engineering, root cause analysis, and influence future roadmap stories based on field execution. KEY RESPONSIBILITIES System Architecture & Design Support Solution Optimization: Partner deeply with customers to architect and optimize Rack‑Scale AI solution deployments using AMD Instinct GPUs. Design Reviews: Provide support of design reviews for customer platform/rack designs; proactively flag areas for modification to improve quality, performance and competitive advantage. Bring‑Up, Debug & Validation Documentation & Best Practices: Deliver comprehensive technical documentation, best practices, and reference architectures to streamline the adoption and deployment of AMD AI platforms. Hands‑on Engineering: Drive hands‑on rack, platform, and component‑level debug and validation. This includes complex stress testing, issue reproductions, and deep‑dive root cause analysis. Issue Resolution: Lead customer issue resolution efforts, gathering diagnostics, managing critical escalations, and driving long‑term process improvements to ensure customer success. System Firmware Debug & Deployment: Lead debug efforts for system firmware (BIOS, BMC) during initial bring‑up and large‑scale deployment phases. Ensure seamless integration between hardware, firmware, and software stacks, and resolve interaction issues in customer environments. End‑Customer Debug & Sustaining: Own the technical support interface for end customers, provide high‑level engineering for deployed fleets. Leadership & Strategy Cross‑Functional Alignment: Represent debug progress, technical insights, and status with clarity and impact at the leadership level, ensuring alignment and accountability across cross‑functional teams. Roadmap Influence: Provide regular, detailed technical feedback from the field to directly influence AMD's software and hardware roadmaps. Future Architecture: Drive future product architecture decisions by leveraging unique insights gained from deep customer execution engagement. Mentorship: Build a culture of ownership, accountability, and technical excellence within the team, while actively mentoring senior engineers and emerging technical leaders. PREFERRED EXPERIENCE Advanced experience in system architecture, hardware/firmware debug, and customer‑facing engineering roles (HPC or AI/ML focus preferred). Deep understanding of Server/Rack system architecture (x86, GPU, PCIe, Interconnects). Strong proficiency in System Firmware (BIOS/UEFI, BMC/OpenBMC) debug, update flows, and deployment strategies. Experience with system bring‑up and debugging tools (oscilloscopes, logic analyzers, ITP, JTAG). Knowledge of power delivery, thermal management, and mechanical form factors in datacenter environments. Leadership: Proven track record of leading technical teams through complex problem‑solving scenarios and interacting with executive leadership. Travel: Ability to travel to customer, factory and company locations. ACADEMIC CREDENTIALS Bachelors, Masters, or PhD in Electrical Engineering, Computer Engineering, or Computer Science. LOCATIONS Seattle, WA.; Austin, TX.; Secaucus, NJ.; Santa Clara, CA. This role does not support visa sponsorship. #LI-CB1 Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee‑based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third‑party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's “Responsible AI Policy” is available here. This posting is for an existing vacancy. #J-18808-Ljbffr

A leading travel technology company in Seattle is seeking a Machine Learning Engineer III to design and scale intelligent systems for their global travel marketplace. You will collaborate with cross-functional teams to optimize real-time pricing and inventory and develop models that enhance trust across the service. The ideal candidate will have strong experience in software engineering and a passion for applying machine learning in complex systems. #J-18808-Ljbffr

Join Sinclair Digital, the innovation engine behind one of the largest and most diversified television broadcasting companies in the country. We are at the forefront of transforming how local news and television are produced, distributed, and consumed across multiple platforms. Sinclair Digital's Cloud Computing team is building a cloud‑native foundation from the ground up. Our digital portfolio includes websites, mobile apps, over‑the‑top (OTT) apps, and a content publishing platform-all converging into a seamless user experience. This is a temporary role that will initially be a contractor position through an agency, with the potential to transition to a full‑time role based on performance and business needs. It is required that this candidate be located in Seattle, WA. Responsibilities Immerse yourself in a diverse technology ecosystem at Sinclair Digital, gaining hands‑on experience with client, server, and cloud technologies. Learn by building new cloud services using CI/CD and IaC development paradigms. Develop a complete understanding of your assigned application and backend systems. Innovate by designing and building applications to discover and implement cutting‑edge content delivery methods. Be a strong team player while collaborating with other team members across the organization. Be ready to discuss and present your ideas to others, taking critical feedback and improving and iterating on design. Follow best practices and patterns, while continuing to explore new and emerging technologies. Minimum Qualifications Bachelor's degree in Computer Science, Applied Science with a Full Stack Web Development certificate, or equivalent practical experience. 6 months experience in application and/or web development. Experience working in several languages and tools including JavaScript, Java, Express, Node.js, MySQL, MongoDB, Mongoose, Python, ReactJS, jQuery, HTML5, and CSS. Preferred Qualifications Experience with or strong interest in AWS cloud services, Databricks, and modern cloud‑native architectures, including Docker containers, microservices, Kubernetes clusters, Terraform, and serverless / event‑driven systems, along with a passion for learning and building scalable distributed solutions. It is preferred that applicants include a resume, and cover letter that include links to their GitHub, LinkedIn, and a personally developed website. About Sinclair Digital Sinclair Digital is transforming how local news and television is produced, distributed, and consumed. We are the digital innovation team for the largest and most diversified television broadcasting company in the country, with affiliations to all major networks and more local television stations than anyone else. Our cloud‑computing team is building a new program to integrate fresh talent with diverse experience, creating an exceptional cloud‑computing powerhouse from the ground up. Our digital portfolio combines websites, mobile apps, OTT apps, and our content publishing platform into a seamless user experience. We take pride in our charter to transform Sinclair Broadcast Group with a broadcast‑centric company into an every‑platform enterprise while maintaining our entrepreneurial spirit. About Us Sinclair, Inc. (Nasdaq: SBGI) is a diversified media company and a leading provider of local news and sports. The company owns, operates, and/or provides services to 178 television stations in 81 markets affiliated with all major broadcast networks; it owns Tennis Channel, the premium destination for tennis enthusiasts; multicast networks CHARGE, Comet, ROAR, and The Nest. Sinclair's AMP Media produces a growing portfolio of digital content and original podcasts. Additional information about Sinclair can be found at ************* About the Team The life‑blood of our organization is our people. We have a compelling story, a goal‑oriented culture, and we take really good care of people. How good? Here is a glimpse: great benefits, open door policy, upward mobility and a strong desire to see you succeed. Ready to be part of a winning team? Let's talk. Employment Information Sinclair is proud to be an equal‑opportunity employer and a drug‑free workplace. Employment practices will not be influenced or affected by virtue of an applicant's or employee's race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, military or veteran status or any other characteristic protected by law. Compensation & Benefits This is a temporary role that will initially be a contractor position through an agency, with the potential to transition to a full‑time role based on performance and business needs. The base salary for this role is $82,000. Final compensation for this role will be determined by various factors such as a candidate's relevant work experience, skills, certifications, and geographic location. During the temporary contractor period, this position is not benefit‑eligible through Sinclair. Upon successful conversion to full‑time status, you would be eligible for company benefits that include participation in a retirement plan, quarterly and annual incentive plan bonuses, life and disability insurance, health, dental and vision plans, flexible spending accounts, 15 paid vacation days, 2 paid personal days, 9 paid holidays, 40 hours of paid sick leave, parental leave, and employee stock purchase plan. #J-18808-Ljbffr

A leading technology company in Seattle is seeking a Principal Machine Learning Engineer to drive the vision for generative recommendations. This role involves designing and scaling advanced generative models, enhancing content discovery and personalization, and partnering with cross-functional teams. Candidates should have extensive experience in machine learning, strong programming skills, and a solid understanding of generative architectures. This position offers a competitive salary and the opportunity to work in a dynamic and creative environment. #J-18808-Ljbffr