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Amazon Supply Chain Optimization Technology (SCOT) Optimal Sourcing Systems (OSS) is looking for an Senior Applied Scientist to help build the next generation strategic sourcing systems. The OSS owns the optimization of inventory sourcing and the orchestration of inbound flows from vendors worldwide. We source inventory from thousands of vendors for millions of products globally while orchestrating the inbound flow for billions of units. Our goals are to increase reliable access to supply, improve supply chain-driven vendor experience, and reduce end-to-end supply chain costs, all in service of maximizing Long-Term Free Cash Flow (LTFCF) for Amazon. This role specifically requires a candidate with expertise in optimization, inventory control theory, and reinforcement learning, alongside the standard qualifications for an Amazon Applied Scientist III. The selected candidate will primarily work to lead the design and implementation of science solutions for the Optimal Sourcing Supply Chain project, which evaluates and compares various retail sourcing and vendor inbound strategies to identify the most effective approaches. Our team is highly cross-functional and employs a wide array of scientific tools and techniques to solve key challenges, including optimization, causal inference, and machine learning/deep learning. You will work with software engineers, product managers, and business teams to understand the business problems and requirements, distill that understanding to crisply define the problem, and design and develop innovative solutions to address them. Key job responsibilities • Set the scientific strategic vision for the team. Lead problem decomposition and roadmap development., • Identify and frame research challenges in ambiguous problem areas; invent novel methodologies to address them. Distinguish between problems requiring novel solutions versus those addressable with existing approaches., • Exercise sound judgment to prioritize between short-term vs. long-term and business vs. technology needs., • Set an example with exemplary scientific analyses; maintainable, well-tested code; and simple, effective solutions., • Drive the design of scientifically-complex software solutions, personally writing critical-path code that embodies scientific novelty. Deploy novel models into production with a track record of impactful delivery., • Develop reusable science components that resolve architecture deficiencies; set standards and drive adoption of state-of-the-art techniques., • Influence team business and engineering strategies. - Communicate effectively with stakeholders to drive alignment and build consensus., • Foster collaborations between scientists across Amazon researching similar problems. Proactively resolve endemic issues where the team's technologies bottleneck other teams., • Actively engage in the development of others, both within and outside the team., • Participate in the science hiring process and engage with the broader scientific community through publications, presentations, and patents., • 5+ years of applied research experience, • PhD in operations research, applied mathematics, theoretical computer science, plus 5+ years industry experience, • Knowledge of supply chain management, inventory control, stochastic optimization, • Proven track record of launching novel scientific solutions in highly ambiguous domains — from problem formulation through research, prototyping, and production deployment, • Proficiency in coding (e.g., Python) with experience developing production-quality scientific software, • Technical depth in one or more of: mathematical optimization, causal inference, stochastic modeling, or sequential decision-making, • Publication record in operations research, machine learning, or a related quantitative field, • Experience designing and analyzing experiments in operational or supply chain settings, • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 _ 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 _. USA, WA, Bellevue - 167,100.00 - 226,100.00 USD annually

Amazon is looking for a results-oriented individual to join the AWS AMER West Energy Team. In this role, you will support AWS’s infrastructure expansion by leading energy projects with electric utilities and energy companies in the AMER West region. This role will collaborate with internal and external stakeholders to grow AWS’s diverse, reliable and low-cost energy supply. The candidate must be able to manage the execution of multiple large scale power infrastructure projects across different geographies in AMER West. The candidate will manage utility interactions, work with internal and external engineering, real estate and planning teams to deliver the electric infrastructure to serve AWS data centers, including but not limited to managing the utility, EPC vendor and/or Owners Engineer to meet AWS’ needs. The candidate will work as part of an integrated team to implement energy program requirements and deliver tangible reliability and cost saving results. The ideal candidate will possess a strong energy background and a proven track record of developing and delivering on innovative energy projects. The candidate will have experience working with regulated electric utilities to develop, contract and deliver medium and high voltage power infrastructure, and related tariffs and agreements. The right candidate will have a demonstrated ability to think strategically about the business, operations, and technical challenges, with the skill-set to drive tactical execution of project schedules, contracts, initiatives and team goals. By establishing and growing business and technical relationships, and managing the day-to-day interactions with these partners, you will be responsible for ensuring energy requirements needed to support AWS’s global infrastructure expansion are met. This role requires some domestic travel (less than 20%). Key job responsibilities • Manage multiple Utilities, EPC and Owner's Engineers to deliver a portfolio of inflight medium voltage and high voltage power infrastructure projects., • Manage capital budgets for electrical infrastructure and energy projects., • Collaborate with the internal teams and regulated utilities on the implementation and management of energy and projects in a timely and accurate fashion., • Identify and develop innovative cost savings projects and initiatives related to energy infrastructure and supply., • Work with utility regulators to develop policies and guidelines that enable broader AWS strategies and objectives. A day in the life Our team is accountable for the full lifecycle of utility power delivery to existing and future AWS data centers throughout North and South America. We are uniquely positioned and encourage to execute innovative energy solutions that accelerate our sustainability goals, improve power reliability and optimize costs. Our team is dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Projects and tasks are assigned in a way that leverages your strengths and helps you further develop your skill set. Here at AWS, we embrace our differences and are committed to furthering our culture of inclusion. #DCPD_Delivery About the team AWS Infrastructure Services (AIS) owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. • 3+ years of technical infrastructure management experience, • Knowledge of best practices and emerging technologies, related to infrastructure (i.e. network, data center, hardware, software), • Experience with varying scenarios of infrastructure builds, • Bachelor's degree in electrical engineering or equivalent, • Experience handling multiple projects simultaneously, • Experience with design or construction administration of a variety of electrical distribution systems ranging from low voltage to high voltage, • Experience leading the design, automation, deployment, and support of large-scale infrastructure, • Experience in data center design, construction, operations, or facility maintenance, • Experience that includes strong analytical skills, attention to detail, and effective communication abilities, • Experience working directly with public utility commissions and other energy regulators Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 _ 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 _. USA, WA, Seattle - 127,100.00 - 171,900.00 USD annually

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) is a comprehensive, evolving, and growing business unit within Amazon.com which provides cloud services. Since early 2006, AWS has provided a highly reliable, scalable, low-cost infrastructure platform that powers hundreds of thousands of businesses in 190 countries around the world. The AWS Cloud spans 99 Availability Zones within 31 geographic regions around the world, with more regions being added every year. If you are interested in a career working in a high growth, fast-paced and Customer focused work environment then AWS may be the right fit for you. The AWS Energy Team works across AMER to supply reliable and carbon free energy to our data centers. The team is seeking a results-orientated individual to join as a Transmission Systems Manager. In this role you will lead transmission planning activities that allow AWS to identify sites for renewable energy projects and power supply opportunities for existing and future AWS data centers. This role provides an opportunity for a technically minded individual to further advance their career within the clean energy sector. As a Transmission Systems Manager you will manage a portfolio of power flow analysis, due diligence and transmission studies using industry tools and in partnership with engineering consultants. The successful candidate will possess strong project management and communication skills and an ability to collaborate with cross-functional teams (Energy, Legal, Finance, Supply Strategy, Real Estate and Capacity Planning) on reporting status, issues, opportunities and key risks across a portfolio of power projects. Key job responsibilities • Build, develop, and maintain transmission planning models to support Amazon's energy growth strategies., • Conduct in-house power flow transmission studies, including generation deactivation and load addition analyses., • Analyze and mitigate transmission constraints in collaboration with internal teams (Energy, Procurement, Infra Energy, Real Estate, Design Engineering, Field Engineering) and external stakeholders (Utilities, RTOs)., • Perform technical due diligence assessments on power connection options, evaluating costs, timelines, and key risks for proposed power projects., • Aggregate and manage datasets from multiple sources to deliver comprehensive insights on energy projects, supporting decision-making in renewable energy integration and load capacity planning., • Coordinate with cross-functional teams to ensure alignment of transmission planning with Amazon's overall energy strategy., • Manage relationships with consultants and external partners through contractual documents and agreements. About the team Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. • Bachelor's degree in Electrical, Mechanical, Power Engineering, or a related field, • Experience in managing multiple, competing priorities simultaneously, • Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders, • 3+ years of experience in transmission planning, power systems analysis, or a related energy discipline., • Hands-on experience with power flow analysis tools (e.g., PSS/E, PowerWorld, PSCAD, TARA or equivalent)., • Master's degree in Electrical, Mechanical, Power Engineering, or a related field, • Experience working with RTOs/ISOs (e.g., PJM, MISO, WECC, SPP, ERCOT) on transmission interconnection or planning studies., • Familiarity with renewable energy integration, generation interconnection processes, and large load interconnection., • Experience supporting data center, hyperscaler, or large industrial load growth initiatives., • Proficiency in GIS tools and data management platforms for transmission system visualization. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 _ 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 _. USA, TX, Austin - 92,400.00 - 160,000.00 USD annually USA, WA, Seattle - 92,400.00 - 160,000.00 USD annually

Amazon's Tax Services organization is building the next generation of solutions to shape the way that we calculate, collect, and invoice tax information as one of the world's largest collectors of online indirect taxes and fees. Our organization's mission is to ensure that Amazon has the right technology and processes to remain accurate and adaptable in a rapidly changing business and tax environment. That's where you come in. We're looking for a Senior Product Manager - Technical (Sr PM-T) to join us and help build the future of the Tax Services Calculation product charter, which is responsible for indirect tax calculation, determination, and the tax records that support reporting and invoicing for Amazon and non-Amazon entities, across billions of tax calculations and documents every year. As a Sr PM-T, you will be responsible for identifying and executing on opportunities to build high-impact solutions and features for our Calculation product that meet customer needs and drive business growth. We are looking for a dynamic, entrepreneurial product manager who is passionate about solving complex and ambiguous problems and who thrives in a fast-paced environment. This position has a high level of visibility, so you will need to communicate clearly and compellingly at all levels of the company. You will measure business impact by diving deep into metrics, tying inputs to business outcomes, and working backwards from customers. You should have a positive attitude and a strong work ethic; you will work fast and smart, and adapt and iterate quickly. This role operates in highly ambiguous areas, and ideal candidates have a proven track record of bringing clarity, simplifying, and prototyping to iterate fast Key job responsibilities • Influence the development and execution of high-quality feature roadmaps based on the overall product strategy and vision., • Understand and explain the impact of product features on the strategic value, accuracy, and performance of the Tax Calculation product., • Make prioritization and trade-off decisions among customer experience, scope, and time to market., • Manage product planning and development through day-to-day collaboration and decision making with a cross-functional team including engineers, designers, and business and partner teams., • Develop detailed, crisp user stories with acceptance criteria based on customer needs and business requirements that can be used to create product specifications and architecture., • Define and analyze metrics that measure and benchmark product success. A day in the life As a Sr PM-T in Tax Services, your day will be a mix of meetings and heads-down time for strategy and roadmap planning, and tactical execution. You'll meet with customers and peers across product, engineering, UX, tax, and legal to understand their needs and identify feature opportunities for our Tax Calculation product. You'll develop functional product and user experience requirements for new features and processes that help meet our customers' needs. You will be expected to own the end-to-end roadmap for discrete product features from requirements gathering through implementation, working across teams to break down silos and drive feature delivery. You will partner closely with the Tax Services engineering team to drive technology design outcomes that are scalable to support all of Amazon's business and compliance needs. The work you deliver has a direct impact on the future product portfolio for the Tax Services organization. About the team The Tax Calculation team owns the core engine at the heart of Amazon's Tax Services: the platform that determines and calculates the correct indirect tax and regulatory fees for every transaction Amazon processes, across 20+ marketplaces and billions of calculations each year. When a customer checks out, a seller remits, or a vendor is invoiced, our product is what ensures the tax is accurate, compliant, and processable, in milliseconds and at global scale. We work at the intersection of technology, tax law, and customer experience. That means partnering closely with engineering to build a scalable, resilient platform; with Tax Planning and Legal to translate complex and constantly changing legislation into system behavior; and with business teams across Amazon to unblock new products, marketplaces, and business models. Our charter spans everything from calculation accuracy and jurisdiction determination to platform simplification, new charge models, and enabling emerging businesses to launch compliantly anywhere in the world. We are a team that values ownership, bias for action, and simplifying hard problems. The tax landscape is accelerating, our systems are evolving to meet it, and there is significant room to shape both the product and the architecture. If you want high- visibility work with direct impact on how one of the world's largest collectors of indirect taxes operates, this is the team. • 5+ years of product or program management, product marketing, business development or technology experience, • Bachelor's degree, • Experience with feature delivery and tradeoffs of a product, • Experience owning/driving roadmap strategy and definition, • Experience with end to end product delivery, • Experience contributing to engineering discussions around technology decisions and strategy related to a product, • Experience managing technical products or online services, • Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning, • Experience in using analytical tools, such as Tableau, Qlikview, QuickSight, • Experience in building and driving adoption of new tools Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 _ 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 _. USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually

The FBA Inventory team is responsible for one of the most strategically critical and technically complex challenges in Amazon's supply chain: managing the inventory volume sent to and stored in the Amazon Fulfillment Network (AFN) across 1MM+ sellers worldwide, while enabling sellers to grow at the pace they desire. Our team sits at the intersection of seller economics, network operations, and latest science thinking — uniquely positioned to align incentives between Amazon and sellers to maximize GMS, optimize network health, and deliver a best-in-class seller experience. We are looking for an entrepreneurial, results-oriented Principal Product Manager – Technical to lead Project Atlas — Amazon's durable target-state architecture for policy-owned inventory enforcement orchestration running inventory removal driven defects down to zero. This is a rare opportunity to own a platform that directly influences seller trust at scale, the integrity of Amazon's compliance posture across every marketplace, and the efficiency of the global fulfillment network. You will drive the strategy and roadmap spanning policy-authoring systems, action APIs, appeal-aware control logic, and the lifecycle-of-record systems that power them — building products that resolve policy intent, seller remediation, appeal state, and removal eligibility upstream, so downstream inventory and removal systems can correctly take execution actions. Key job responsibilities 1. Own the FBA platform roadmap for Project Atlas — Amazon's durable target-state architecture for policy-owned enforcement orchestration — and the next-generation enforcement experience that turns downstream systems into stateless executors of upstream policy decisions. 2) Drive the shift to policy-owned enforcement, replacing bundled downstream workflows with discrete, policy-issued action primitives each with its own timing, owner, and result. 3) Build seller-protecting controls that make enforcement deterministic, transparent, and appeal-aware — including irreversible-action gates checked against active appeal state, undo/resume logic, and a single lifecycle-of-record so sellers never receive conflicting dates, channels, or instructions. 4) Scale the enforcement platform beyond compliance — partnering with policy, science, and marketplace teams to extend the model to any future use case that touches inventory, offers, orders, removals, or seller communication, while distinguishing reversible (Compliance-Pending) from irreversible (Disposition-Required) violations. 5) Lead cross-functional alignment across CPP/Policy Manager, DISCO, Paragon/AHD, Issue Store, AFT/TASC, FBA, and Retail on the action API contract, policy-authoring validation, and evaluation/enforcement grain alignment — transforming fragmented, downstream-owned enforcement into an automated, policy-driven system with zero unauthorized removals. • Bachelor's degree, • 10+ years of technical product or program management experience, • Experience owning/driving roadmap strategy and definition, • Experience with feature delivery and tradeoffs of a product, • Bachelor's degree in engineering, statistics, computer science, operations research, business analytics, information systems or equivalent, • Experience working directly with Engineers on product enhancements, • Experience in project management methodologies, business analysis, or process improvement, • Experience as a strong leader who can prioritize well, communicate clearly and effectively influence across cross-functional teams, • Experience contributing to engineering discussions around technology decisions and strategy related to a product Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 _ 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 _. USA, WA, Bellevue - 179,900.00 - 243,400.00 USD annually

As a Senior Technical Product Manager for AWS Elastic Compute Cloud (EC2), you will be responsible for driving the strategic direction and technical roadmap for one of AWS's core cloud computing services. You will work closely with engineering, business, and customer teams to identify customer needs, translate them into product requirements, and deliver innovative solutions that exceed customer expectations. Key job responsibilities Serve as the technical subject matter expert for the EC2 service, with a deep understanding of its underlying architecture, features, and capabilities. Collaborate with cross-functional teams, including engineering, sales, marketing, and support, to gather customer insights, define product strategy, and prioritize the product roadmap. Translate complex technical requirements into clear and actionable product specifications, ensuring alignment across the organization. Continuously monitor industry trends, competitive landscape, and customer feedback to identify opportunities for product enhancement and innovation. Effectively communicate product vision, roadmap, and key initiatives to both internal and external stakeholders, including senior leadership. Act as a technical advocate for customers, representing their needs and challenges to the product development team. Develop a comprehensive understanding of the broader AWS ecosystem and how EC2 integrates with other AWS services. Provide technical guidance and support to the sales and professional services teams to assist with complex customer engagements. Collaborate with cross-functional teams to plan and execute successful product launches, driving adoption and customer satisfaction. • 5+ years of working as a Technical Product Manager experience, • 3+ years of technical (software development, network development, IT, other related) experience, • Bachelor's degree in computer science, engineering, math, finance, or economics, • Experience in taking a product from conception & definition phase through engineering design and taking it to market, • Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market), • Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations, • Experience working within teams delivering software products and features using agile methodologies, • MBA Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 _ 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 _. USA, WA, Seattle - 152,200.00 - 205,900.00 USD annually

Amazon's Global Engineering Services (GES) North America Design & Construction team is seeking a Construction Manager to serve as Amazon's owner's representative in the delivery of built facilities and infrastructure supporting our logistics network. In this role, you will manage the full construction lifecycle — from design review and contractor procurement through construction execution and operational handover — for new builds, retrofits, expansions, and program initiatives across your assigned region. You will be the primary point of interface between Amazon and its external partners, including developers, general contractors, design engineers, and regulatory authorities, while serving as the key integrator between construction and the internal Amazon teams responsible for equipping, furnishing, and operating our facilities. Projects range from targeted renovations to large-scale new facility builds, including fulfillment centers, sortation centers, delivery stations, and auxiliary buildings. This role requires strong technical construction expertise, sharp commercial acumen, and the ability to manage multiple concurrent projects independently. You will bring a disciplined approach to safety, budget management, schedule oversight, contract execution, and stakeholder communication — all in service of delivering world-class facilities for Amazon's customers. This role requires 60% regional travel and availability to work from a corporate office when not traveling. Candidates should either live near or be willing to relocate within a reasonable commuting distance of the office. Relocation assistance may be provided. Key job responsibilities • Serve as Amazon's owner's representative and primary construction integrator across all assigned projects, • Manage multiple concurrent projects from design phase through construction completion and operational handover, • Conduct detailed reviews of contractor bid packages, budgets, and schedules; identify and resolve discrepancies, • Own comprehensive budget tracking, cashflow forecasting, and cost management, • Negotiate construction, procurement, and labor contracts with developers and general contractors, • Audit contractor performance to ensure skills, competencies, and resources meet project requirements, • Coordinate with Authorities Having Jurisdiction (AHJ) for permitting, regulatory compliance, and approvals, • Review construction documents and ongoing work for conformance to Amazon's building specifications and design standards, • Identify and resolve design conflicts, schedule clashes, and coordination gaps across Amazon execution teams, • Coach and guide project teams — developers, design engineers, contractors, subcontractors, and internal stakeholders — throughout the project lifecycle, • Champion Amazon's safety programs and hold all project parties accountable to a safety-first culture, • Maintain clear, concise, and transparent communication with all internal and external stakeholders, • Assess project performance through KPIs for safety, quality, cost, schedule, and sustainability, • Partner with teams responsible for facility transition, base building management, and turnover documentation, • Identify value engineering and design enhancement opportunities in collaboration with internal engineering partners, • Seek sustainable, environmentally responsible solutions throughout the construction process A day in the life Each day, you act as Amazon's owner on the ground — ensuring the safe, on-time, and on-budget execution of construction projects across your region. Your day may include: • Coordinating with general contractors on project status, upcoming milestones, and emerging risks, • Reviewing and responding to RFIs, submittals, change order requests, and schedule updates, • Participating in AOC meetings and driving accountability across the project team, • Conducting site visits to verify construction quality and safety compliance, • Updating Amazon's project management systems with current budget, schedule, and status information, • Collaborating with internal stakeholders on facility readiness, equipment coordination, and operational handover planning, • Reviewing design documents and providing feedback to engineering and design partners Amazon Benefits: Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage, 2. Maternity and Parental Leave Options, 3. Paid Time Off (PTO), 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skill sets. If you’re passionate about this role and want to make an impact on a global scale, please apply! • Bachelor's degree in Architecture, Construction Management, Engineering, or a related field, • Experience with AutoCAD and/or Building Information Modeling (BIM), as well as scheduling software (Primavera, MS Project, or similar), • 5+ years of construction or project management, or 5+ years of relevant discipline work experience, • 5+ years of project management (including scope, schedule, budget, quality, risk and critical path management) experience, • 5+ years of contracts management experience, • Position includes travel up to 60%. Travel involves air travel to regional airports and driving to site locations. A valid driver's license is required due to project assignments in areas with limited public transportation and rideshare options., • Experience with vendor and contractor/subcontractor negotiation and management skills associated with construction and project execution, • Experience in General Contracting, Owner's Representation, Commercial Development, Engineering & Design), • Demonstrated success communicating project requirements to diverse audiences including senior leadership, public officials, vendors, and operational teams, • Experience in facilities management, including planning, design review, implementation, and project controls, • Experience managing concurrent projects in a program management capacity Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 _ 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 _. USA, WA, Bellevue - 82,700.00 - 135,400.00 USD annually

\n \n About Us \n \n \n One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years. \n In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive. \n \n\n \n Employment type: \n\n • Full time (32 hours of in-person patient care per week)\n\n What you’ll be working on: \n\n • Managing a patient panel with a broad array of patient needs; conducting a mix of acute, chronic, and well visits with support and mentorship of an onsite clinical Preceptor.\n, • Treating patients in-office or in testing centers as well as conducting occasional tele-health visits\n, • Continuous learning during weekly Didactics with dedicated faculty, Clinical Rounds and through other modalities\n, • Ongoing collaboration with in-office teammates via daily huddles, as well as with virtual clinical teams\n, • Utilization of your specific clinical training and opportunities to perform in-office procedures \n, • Willing to obtain additional state licensure and credentialing for One Medical virtual primary care in additional states\n\n Education, licenses, and experiences required for this role: \n\n • Must have completed accredited NP or PA program with a national certification with a graduation date between May 2026 to December 2026\n, • Must hold an active license in WA or have submitted a licensure application by December 1, 2026, with license obtained no later than February 1, 2027\n\n One Medical providers also demonstrate: \n\n • A passion for culturally competent primary care\n, • The ability to successfully communicate with and provide care to individuals of all backgrounds \n, • The ability to effectively use technology to deliver high quality care\n, • The ability to communicate effectively with patients and team members\n, • Clinical proficiency in evidence-based primary care\n, • The desire to be an integral part of a team dedicated to changing healthcare delivery\n, • An openness to feedback and reflection to gain productive insight into strengths and weaknesses\n, • The ability to confidently navigate uncertain situations with both patients and colleagues\n, • Readiness to adapt personal and interpersonal behavior to meet the needs of our patients\n\n This is a full-time role located in Seattle! \n One Medical is committed to fair and equitable compensation practices. \n The base salary for this role is $131,500 based on a full-time schedule. Final determination of starting pay may vary based on factors such as practice experience and patient care schedule. Additional pay may be determined for those candidates that exceed these specified qualifications and requirements. \n \n\n One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire: \n Taking care of you today \n \n • Paid sabbatical for every five years of service\n, • Free One Medical memberships for yourself, your friends and family\n, • Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues\n, • Competitive Medical, Dental and Vision plans\n, • Pre-Tax commuter benefits\n, • PTO cash outs - Option to cash out up to 40 accrued hours per year\n \n Protecting your future for you and your family \n \n • 401K match\n, • Credit towards emergency childcare\n, • Company paid maternity and paternity leave\n, • Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance\n, • Disability insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance\n \n In addition to the comprehensive benefits package outlined above, practicing clinicians also receive \n \n • Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%.\n, • UpToDate Subscription - An evidence-based clinical research tool\n, • Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education\n, • Rounds - Providers end patient care one hour early each week to participate in this shared learning experience\n, • Discounted rate to attend One Medical’s Annual REAL primary care conference\n \n \n One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities. \n One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the E-Verification Poster and Right to Work Poster for additional information. \n Your work schedule could be subject to change based on business direction at any time. \n

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the servers that use them. As the Software Development Engineer for the Neuron Runtime Team, you will be responsible for working alongside a team of engineers to develop and maintain high-performance runtime libraries and drivers for machine learning applications and AI accelerators. You will work on design, development, and deployment of Neuron Runtime and other Neuron components. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior. Improving performance of ML Kernels and ML Frameworks. In this role, you will manage the full development life cycle of the Neuron Runtime, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler generates key information so customers can understand and optimize the performance of our custom hardware. Additionally, you will drive innovations that allow the profiler to support multiple frameworks, such as PyTorch, JAX, and XLA. A successful candidate will have experience in architecting, building, and operating distributed systems with a focus on high availability and fault tolerance, Hands-on experience with AWS services (e.g., EC2, ECS, CloudWatch, S3, Lambda) in production environments and track record in Owning services end-to-end including deployment, monitoring, alarming, on-call, and post-incident review. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale. About the team Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. • 3+ years of non-internship professional software development experience, • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience programming with at least one software programming language, • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 _ 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 _. USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

Job Location SEATTLE SALES OFFICE Job Description Do you want to work with brands that millions of consumers love and use every day? The P&G Amazon Customer Team is looking for dedicated and driven Data and Content Specialist to join the team, where you will be helping audit and supervise eContent & retail page health for Amazon P&G products, brand store content management, strategic content recommendations, content performance analytics, and more. This role will be on our Fabric & Home Care business working closely on brands such as Tide, Downy, Cascade, & Swiffer. This role is one of several administrative specialist roles that currently support the P&G Amazon team. Administrative roles are compensated on an hourly vs salaried basis and work in support of a team to achieve business objectives set by team leaders and managers. This role is in Issaquah, Washington (20 minutes outside of Seattle), and will have a hybrid work schedule where you are only expected to be in the office 3 days a week. As a part of the P&G Amazon Customer team, you’ll be joining a team with a great culture that’s fast paced, dynamic, collaborative, innovative, and excited about building the future of eCommerce. Role & Responsibilities: • Managing, auditing, & tracking eContent including owning eContent changes and uploads for current and new items, • Lead onsite audits, tracking and critical issues of Amazon retail web pages for P&G products. Collaborate with the team on recommended changes and updates., • Lead superior retail execution of key demand driving activities from alignment to analysis. Includes maintaining calendar of merchandising activities, submitting merchandising activities in Amazon's system, and auditing on-site execution, • Partner with Product Supply team and Amazon to complete forecasting and order generation for new item launches and demand driving events, • Designing and executing digital coupons, including consulting with brand and sales teams on coupon strategy, setting up coupons in internal and external systems, and tracking historical executions to aid in post event return on investment analysis and inform future strategies., • Skills You Can Expect to Learn/Build in This Job: eCommerce Fundamentals, Project Management, Digital Marketing and Promotions, Supply Chain fundamentals, Communication Skills The Ideal Candidate: We are looking for someone who has strong characteristics of: • Agility: The eCommerce space is constantly evolving and very complex. An agile mentality with a passion for problem-solving will enable you to strategically address challenging situations in our dynamic business environment., • Operational Discipline: Has superior organizational and communication skills, with the ability to lead large sets of data, multiple projects, handle timelines, and produce high-quality results., • Collaboration: Working seamlessly with multiple partners internally across functions at P&G, and also externally with agency and our retail partners., • Data & Analytics: Strong attention to detail, analytical skills, ability to manipulate data from multiple sources, and understanding of digital metrics. Job Qualifications • Analytics: Competency in developing business/category knowledge, and ability to turn analytics and data into insights., • Prior experience in data administration in a professional setting preferred or have demonstrably strong technical skills and high aptitude for learning new software/systems., • Demonstrates personal leadership, problem solving skills, accountability and ownership of defined work processes and projects while working independently to deliver expected results., • Possess excellent written, verbal, and interpersonal communications skills., • Microsoft Office experience including excellent proficiency with Outlook, strong Excel and Word skills, • Resides in the greater Seattle, Washington area, or willing to relocate At P&G, we believe that diverse experiences help build strong leaders. Mobility is a key component of many management careers, providing opportunities to grow through different assignments, locations, and business challenges. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise. Compensation for roles at P&G varies depending on a wide array of non-discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits. Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process. We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ’s, please click _. Procter & Gamble participates in E-Verify. Qualified individuals will not be disadvantaged based on being unemployed. P&G is dedicated to meeting the needs of applicants requesting an accommodation/adjustment due to a disability in order to complete the online application process. If you have a disability that affects your ability to complete our online application process, please visit our _. Job Schedule Full time Job Number R000161836 Job Segmentation Experienced Professionals Starting Pay / Salary Range $91,200.00 - $114,000.00 / year

Amazon Leo is Amazon‘s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. The Role In this role, you will participate in all phases of software development from requirements through implementation and test to operations. Our team tackles many critical satellite functions: power management, hardware interfaces, command & telemetry, and autonomous control. Job Responsibilities • Develop embedded software in C, C++, Rust, or other languages in a real-time operating system environment, • Architect, design, and implement software for satellite constellation, • Write software to interact with devices/electronics using I2C, SPI, RS-422, RS-485, Ethernet, etc. communications, • Write device drivers and system applications for flight code and flight management, • Work closely with hardware teams to support board bring-up and integration testing Export Control Requirement Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. BASIC QUALIFICATIONS, • 5+ years of non-internship professional software development experience, • 5+ years of programming with at least one software programming language experience, • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS, • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor‘s degree in computer science or equivalent Amazon 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 ( 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 ( . USA, CA, San Diego - 168,100.00 - 227,400.00 USD annually USA, CA, Sunnyvale - 193,300.00 - 261,500.00 USD annually USA, WA, Redmond - 168,100.00 - 227,400.00 USD annually

Amazon Leo is Amazon‘s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. The Role In this role, you will participate in all phases of software development from requirements through implementation and test to operations. Our team tackles many critical satellite functions: power management, hardware interfaces, command & telemetry, and autonomous control. Job Responsibilities • Develop embedded software in C, C++, Rust, or other languages in a real-time operating system environment, • Architect, design, and implement software for satellite constellation, • Write software to interact with devices/electronics using I2C, SPI, RS-422, RS-485, Ethernet, etc. communications, • Write device drivers and system applications for flight code and flight management, • Work closely with hardware teams to support board bring-up and integration testing Export Control Requirement Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. BASIC QUALIFICATIONS, • 5+ years of non-internship professional software development experience, • 5+ years of programming with at least one software programming language experience, • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS, • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor‘s degree in computer science or equivalent Amazon 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 ( 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 ( . USA, CA, San Diego - 168,100.00 - 227,400.00 USD annually USA, CA, Sunnyvale - 193,300.00 - 261,500.00 USD annually USA, WA, Redmond - 168,100.00 - 227,400.00 USD annually

Job Description The 3D Simulation group at Zoox is looking for machine learning engineers to bring the latest research in 3D vision to accelerate autonomy by blurring the line between simulation and reality. Our ML group is working on generating rich and diverse 3D environments, humans, and environmental conditions using reconstruction and generative models. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validation to bring new algorithms into our robotics stack. In this role, you will: • Research, implement, and optimize state of the art machine learning approaches to improve 3D simulation variation and fidelity, • Collaborate with ML Researchers, Technical Artists and Simulation engineers to bring new ML techniques to our production simulator, • Train 4D generative and world models for simulating rare scenarios, • Build scalable, useable cloud pipelines for machine learning solutions in 3D simulation, • Improve rendering and tooling for generating realistic data at scaleQualifications:, • 7+ years of experience with Python/C++ programming and algorithm design, • Experience building and extending radiance field ML models, • Experience with generative models for 3D or video content, • Publications or production experience in human-centric 3D vision, 3D reconstruction, or style transfer, • Strong mathematical skills and understanding of probabilistic techniquesBonus Qualifications:, • Experience automating 3D content pipelines using applications like Houdini, Maya, or Blender, • Experience in distributed systems and cloud computing platforms, • Experience in generative camera, lidar, radar, or LWIR Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description The Zoox 3D Sensor Simulation team’s work is at the core of creating in-the-loop simulation and high fidelity synthetic data for training and testing autonomous vehicle AI. We are looking for a machine learning professional with experience applying ML to sensor data, such as LiDAR, radar, and cameras. This role lies at the intersection of machine learning and 3D simulation at Zoox, ranging from learned sensor models to neural 3D reconstruction. By improving the realism of simulated sensors (lidar, radar, and cameras), you’ll enable the Zoox robotics autonomy stack to learn, improve, and enhance the mobility of humans. In this role, you will: • Design, train, and validate ML models that improve the realism of simulated lidar, radar, and camera data in autonomous vehicle (AV) simulation pipelines., • Collaborate with Synthetic Data and HIL Sim teams to integrate 3DGS and NeRF-based 3D reconstruction with simulation of all sensor modalities., • Build and curate training datasets from real and simulated sensor data, including GenAI-based data augmentation., • Partner with Sim V&V and Perception engineers to define sensor realism metrics and close the sim-to-real gaps with the greatest impact on autonomy., • Mentor engineers and interns, and establish best practices for training and deploying ML on Zoox sensor data.Qualifications:, • 2+ years of prior experience as a Technical Lead 5+ years of experience developing ML models in Python with PyTorch or TensorFlow Industry experience applying ML to sensor data (lidar, radar, and/or cameras) Solid understanding of customizing, tuning, and validating ML training pipelines Bonus Qualifications: Experience with generative techniques such as diffusion, flow matching, or VAEs Experience with 3D reconstruction (3DGS, NeRFs) or differentiable rendering Prior experience developing autonomy in AVs or other robotics and computer vision Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description The Perception team is pioneering the development of a multi-modality foundation model to drive the next generation of autonomous system intelligence. As a Machine Learning and System Optimization Engineer, you will orchestrate and allocate overall system capacity to various core perception models running on-bot, as well as drive large initiatives that allow for more efficient inference by sharing various parts of the perception stack with one another. You will focus on bringing highly efficient, production-ready large-scale models to our on-vehicle stack. We are looking for experts with hands-on experience compressing, accelerating, and deploying complex models, including LLMs, VLMs, or foundation models, for power- and thermal-constrained vehicle SoCs. In addition, you will optimize ML models, write custom CUDA kernels, and build highly concurrent inference code to ensure real-time, deterministic execution on edge devices. In this role, you will: Allocate and distribute system resources (CPU/GPU/interconnect) to various models and inference engines running on the robot. Spearhead cross-cutting initiatives that allow for better compute utilization through sharing/fusing models and better scheduling strategies. Optimize large-scale models (Multi-Modal Sensor Fusion models, LLMs, VLMs) using advanced quantization (PTQ, QAT), pruning, mixed-precision inference frameworks, and parameter-efficient fine-tuning (LoRA, QLoRA). Architect and implement model conversion and compilation pipelines using TensorRT for edge deployment. Write production-level, low-latency, and memory-safe C++ and CUDA code for real-time inference on vehicle systems. Qualifications: Deep experience in system and performance optimization in CPU/GPU systems designed for low latency or high throughput. Deep expertise in working with real-time systems & required constraints such as processing latency, memory utilization, and memory bandwidth pressure. Deep expertise in model quantization (PTQ, QAT) and mixed-precision inference frameworks (INT8, FP8, FP4, BF16/FP16). Proficiency in low-level programming for AI accelerators, specifically developing and optimizing custom ML OPs and TensorRT Plugins with efficient CUDA kernel implementations. Production-level C++ (14/17/20) and Python programming skills, with experience developing concurrent, memory-safe, real-time inference code for edge devices. Bonus Qualifications: Prior experience in high-performance robotics applications such as AV/drones/robots. Familiarity with SOTA autonomous driving perception algorithms (temporal 3D object detection, BEV, 3D Occupancy Networks) and multi-modal sensor processing (Vision, LiDAR, Radar). Experience with end-to-end autonomous driving paradigms (VLM/VLA models, Foundation models) and edge deployment technologies (e.g., TensorRT-LLM). Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description The Zoox 3D Sensor Simulation team’s work is at the core of creating in-the-loop simulation and high fidelity synthetic data for training and testing autonomous vehicle AI. We are looking for a machine learning professional with experience applying ML to sensor data, such as LiDAR, radar, and cameras. This role lies at the intersection of machine learning and 3D simulation at Zoox, ranging from learned sensor models to neural 3D reconstruction. By improving the realism of simulated sensors (lidar, radar, and cameras), you’ll enable the Zoox robotics autonomy stack to learn, improve, and enhance the mobility of humans. In this role, you will: Design, train, and validate ML models that improve the realism of simulated lidar, radar, and camera data in autonomous vehicle (AV) simulation pipelines. Collaborate with Synthetic Data and HIL Sim teams to integrate 3DGS and NeRF-based 3D reconstruction with simulation of all sensor modalities. Build and curate training datasets from real and simulated sensor data, including GenAI-based data augmentation. Partner with Sim V&V and Perception engineers to define sensor realism metrics and close the sim-to-real gaps with the greatest impact on autonomy. Mentor engineers and interns, and establish best practices for training and deploying ML on Zoox sensor data. Qualifications: • 3+ years of experience developing ML models in Python with PyTorch or TensorFlow, • Industry experience applying ML to sensor data (lidar, radar, and/or cameras), • Solid understanding of customizing, tuning, and validating ML training pipelinesBonus Qualifications:, • Experience with generative techniques such as diffusion, flow matching, or VAEs, • Experience with 3D reconstruction (3DGS, NeRFs) or differentiable rendering, • Prior experience developing autonomy in AVs or other robotics and computer vision Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description The 3D Simulation group at Zoox is looking for machine learning engineers to bring the latest research in 3D vision to accelerate autonomy by blurring the line between simulation and reality. Our ML group is working on generating rich and diverse 3D environments, humans, and environmental conditions using reconstruction and generative models. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validation to bring new algorithms into our robotics stack. In this role, you will: • Research, implement, and optimize state of the art machine learning approaches to improve 3D simulation variation and fidelity, • Collaborate with ML Researchers, Technical Artists and Simulation engineers to bring new ML techniques to our production simulator, • Train 4D generative and world models for simulating rare scenarios, • Build scalable, useable cloud pipelines for machine learning solutions in 3D simulation, • Improve rendering and tooling for generating realistic data at scaleQualifications, • 3+ years of experience with Python/C++ programming and algorithm design, • Experience building and extending radiance field ML models, • Experience with generative models for 3D or video content, • Publications or production experience in human-centric 3D vision, 3D reconstruction, or style transfer, • Strong mathematical skills and understanding of probabilistic techniquesBonus Qualifications, • Experience automating 3D content pipelines using applications like Houdini, Maya, or Blender, • Experience in distributed systems and cloud computing platforms, • Experience in generative camera, lidar, radar, or LWIRBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Senior Manager, Amazon Retail Sales Department: Sales & Marketing Location: Salt Lake City and/or Seattle (remote may be considered for right skill set) Compensation: $130,000-$180,000 + Bonus About the Role Our business is BBQ, and business tastes good. Traeger invented the wood pellet grill over 30 years ago, and we've been revolutionizing outdoor cooking ever since. We're a team of disruptors, innovators, problem solvers, and food fanatics who are dedicated to bringing people together to create a more flavorful world. From our headquarters in Salt Lake City and beyond, we work tirelessly to provide a world-class experience to our customers, retailers, and especially our employees. If you're a team player who's dedicated to delivering top-quality results every day, then we want you to come cook with us! As Senior Manager, Amazon Retail Sales at Traeger, you will lead our Amazon business across North America. You will be responsible for the strategy, growth and operational excellence of the Amazon retail channel. Our ideal candidates have deep expertise & leadership across Amazon retail and want to continue their leadership journey on a high growth and influential account at Traeger. Key Responsibilities Business Leadership • Own the full P&L for Amazon (Traeger is 1P/Vendor Central), including sell in & sell through, profitability, demand planning, and retail operational metrics., • Develop & execute Amazon specific long range strategies to drive sustainable growth, market share expansion & brand awareness., • Define & communicate Amazon-specific needs internally & partner across product, marketing, finance, supply chain to ensure plan alignment. Strategic Account Management • Deepen relationships with Amazon retail leadership: category managers, vendor managers, retail marketing & Amazon Ads and operational teams, • Lead annual joint business planning (JBPs), QBRs and annual vendor negotiations – aligning priorities across sales, profitability, customer acquisition, site operations, supply chain & logistics, • Manage annual promotional strategy (ie: Prime Day, Black Friday/Holiday, HVEs) and ensure flawless execution across pricing, inventory and marketing., • Get ahead of and resolve operational issues: chargebacks, shortages/inventory, PO flow, content errors and catalog integrity., • Data & Insights Leadership. Analyze category dynamics, competitive movements, shopper behavior to identify risks & opportunities and leverage Amazon retail analytics tools to also help optimize performance. Familiarity with Stackline tools is a plus. Requirements: • 5+ years of experience managing Amazon (1P), ideally in premium consumer goods., • Demonstrated success owning a multi-million dollar Amazon business with strong P&L management & Amazon retail levers: vendor negotiations, profitability management, demand forecasting, search/onsite visibility., • Ability to influence senior stakeholders with data backed insights and analytical skills, • Excellent negotiation, communication, and strategic account management skills with a high level of autonomy. Why You Will Love Working Here: • Be part of the most disruptive force in outdoor cooking, • Join a true team working towards a common goal, • Culture of risk-taking, innovation, & quality, • So. Much. Food., • Have an outdoor lover's paradise in your backyard, • Full medical/dental/vision package to fit your needs, • 401k to help you plan for the future, • Tuition reimbursement, • Individual professional development programs & initiatives to help you grow professionally, • Great discounts on all things Traeger, • Did we mention all the food? Traeger may use AI tools for resume-screening purposes. By submitting your application to us, regardless of method for submission, you consent to the use of such AI tools.

Job Description Sr AWS Migration Engineer Pay Rate : $60 - 70/hr on W2/C2C Seatle/ Boston/ Remote Core AWS Migration Skills: • AWS Migration Framework — Deep understanding of the Assess → Mobilize → Migrate & Modernize phases and the 7 R's migration strategies (Rehost, Replatform, Refactor, Repurchase, Retire, Retain, Relocate), • AWS Application Migration Service (MGN) — Primary tool for lift-and-shift rehosting of VMware VMs and physical servers to EC2; experience with replication agents, launch templates, and cutover workflows, • AWS Database Migration Service (DMS) — Hands-on experience with DMS for SQL Server migrations, including Schema Conversion Tool (SCT) for heterogeneous migrations, • AWS Migration Hub — Familiarity with tracking migration progress across multiple tools and integrating partner tools, • VMware-to-AWS migration — Experience with AWS MGN, VM Import/Export, and optionally AWS Transform for VMware workloads Infrastructure & IaC Skills: • Terraform — Strong proficiency for provisioning landing zones, VPCs, subnets, security groups, IAM roles, and target-state infrastructure on AWS, • AMI management — Creating, customizing, and managing Amazon Machine Images for standardized deployments (Optional), • Networking — VPC design, Direct Connect/VPN setup, security groups, NACLs, Route 53 DNS cutover, and hybrid connectivity between on-prem/Azure and AWS (Optional) Microsoft & Windows Workload Expertise: • .NET application migration — Experience migrating .NET Framework apps to AWS (EC2 rehost or refactoring to .NET Core/Linux), • SQL Server on AWS — Knowledge of SQL Server on EC2, Amazon RDS for SQL Server, and Aurora PostgreSQL as refactoring targets, • Windows Server administration — Managing Windows workloads on EC2, licensing (BYOL vs. License Included), Active Directory integration, • Azure-to-AWS migration — Experience with VM Import/Export from Azure VHDs, understanding Azure resource mapping to AWS equivalents, and handling Azure-specific dependencies (optional) Database Migration Skills: • DMS configuration — Setting up replication instances, source/target endpoints, and migration tasks for SQL Server, • Schema conversion — Using AWS SCT for schema analysis and conversion when refactoring databases, • Database performance tuning — Post-migration optimization and validation, • Data validation — Ensuring data integrity during and after migration Project & Methodology Skills: • Large-scale migration experience — Proven track record with 100 server migrations, • Wave planning — Ability to group and sequence 115 applications into migration waves based on dependencies, complexity, and business criticality, • Application discovery & dependency mapping — Using AWS Application Discovery Service or similar tools to map application interdependencies, • Cutover planning — Designing rollback plans, minimizing downtime, and coordinating maintenance windows, • RACI and stakeholder management — Defining roles across customer, partner, and AWS teams Certifications (Recommended): • AWS Solutions Architect – Associate (minimum) or Professional, • AWS Certified SysOps Administrator – Associate, • AWS Certified DevOps Engineer – Professional (preferred for refactoring work), • Additional: Microsoft certifications for .NET/SQL Server are a plus Experience Requirements: • Minimum 8 years infrastructure administration (Windows, networking, storage, virtualization), • Minimum 6 years hands-on AWS migration delivery experience, • Experience with at least one datacenter exit or large-scale migration (100 servers), • Familiarity with MAP (Migration Acceleration Program) milestones and deliverables Nice-to-Have Skills: • AWS Transform — For automated .NET modernization and VMware migration acceleration, • Containerization (ECS/EKS) — If any refactoring targets containers, • CI/CD pipelines — For modernized application deployment, • Cost optimization — Right-sizing EC2 instances, Reserved Instances/Savings Plans planning, • Security best practices — AWS Well-Architected Framework, IAM, encryption, compliance.

Job Description Zoox is building a purpose-built robotaxi from the ground up and running it on public roads today, with riders. Every perception, prediction, and planning decision runs on an onboard compute: a fixed-power, fixed-thermal, safety-critical, real-time system. That makes GPU execution one of the most consequential engineering problems in the company. Each new model generation wants more compute. Each new vehicle generation needs to cost less, use less power, and stay safe. Closing that gap is not a kernel-tuning exercise. It takes an end-to-end technical vision for how the whole onboard AI workload is scheduled, shared, isolated, and sized across GPUs, and the authority to drive that vision across ML, autonomy, middleware, and hardware organizations. You will join Zoox's Software Performance organization, which owns end-to-end performance of the onboard software stack: profiling and observability, GPU compute, and compute platform. You will work closely with Perception, Prediction, Planning, ML Infrastructure, and Hardware teams, and you will be a senior technical voice for onboard compute across the company. We are looking for the technical leader who sets that vision. You will define how Zoox runs AI on the vehicle, and you will own the strategy for doing more with less compute on every vehicle we build next. In this role, you will: • Architect onboard GPU execution. Define how perception, prediction, and planning workloads share onboard GPUs, including scheduling, multi-tenancy, isolation, and deterministic latency under contention., • Drive compute reduction. Own the multi-year roadmap to cut onboard compute per vehicle by setting latency and utilization budgets and landing the biggest levers across models, runtimes, middleware, and hardware in real releases., • Shape hardware and platform direction. Guide next-generation compute decisions (GPU and SoC selection, topology, memory budgets) with workload models and performance projections that justify them, then lead performance bring-up of each new platform., • Lead inference performance at scale. Set direction for the inference stack (TensorRT, CUDA, custom kernels, quantization) and partner with ML teams so models are designed for the hardware they ship on., • Provide technical leadership. Lead and mentor senior engineers, align directors and VPs through design docs, and make the hard calls when performance, safety, and schedule conflict.Qualifications, • BS in computer science, computer engineering, or related field and 10+ years in systems or performance engineering, including leading GPU or accelerator architecture across teams, or building and leading a performance engineering team., • Deep CUDA platform (programming model, runtime, and driver) and NVIDIA GPU microarchitecture expertise (Ampere through Blackwell, Orin, Thor)., • Proven record setting technical direction and delivering large, measurable end-to-end gains in latency, utilization, or cost., • Working knowledge of ML inference optimization (TensorRT, XLA, Triton, quantization, fusion) and expert C++ on Linux., • Ability to align ML, systems, hardware, and leadership on a shared technical plan.Bonus Qualifications, • Real-time or embedded GPU experience: autonomy, robotics, AR/VR, games, or HPC. Production GPU multi-tenancy (MPS, MIG, priority streams). New GPU architecture or platform bring-up, benchmarking methodology, or workload modeling and projections.Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Our Ride and Fleet Backend team is looking for a Software Engineer to build out the Fleet Dispatch System to efficiently dispatch missions to our robots. Zoox robots take missions like Rideshare Trips, Charging, Cleaning, Return to Depot, R&D missions, and Roaming missions. It is the backbone of our autonomous fleet management system and the brains behind connecting our riders and vehicle operators to our robots! In this role, you will: • Design and build a scalable, efficient, and robust robotaxis dispatch service., • Craft and refine algorithms for real-time dispatch optimization and route planning, leveraging operational research techniques., • Apply operational research methods such as linear programming, integer programming, stochastic processes, and queuing theory to solve complex dispatch problems., • Use operational research tools for data analysis, forecasting demand, and modeling transport networks to improve robotaxi service efficiency., • Integrate optimization algorithms into the robotaxi platform., • Build and use in-house or 3rd-party simulation models to test dispatch optimization algorithms’ effectiveness. Qualifications, • Bachelor’s/Master’s degree in Computer Science, Engineering, Mathematics, Operations Research, or related field., • Proven experience in algorithm development, with a strong emphasis on operational research methodologies., • Proficiency in programming languages Java or Kotlin, • Solid background in machine learning, AI, operational research, and data analysis., • Passion for learning new technologies, domains, and challenging the status quo., • Strong mathematics skills., • Exceptional problem-solving, analytical, and quantitative skills.Bonus Qualifications, • Experience with GIS and mapping software., • Experience in transportation, logistics, or autonomous vehicles., • Experience in building/using fleet simulation tools., • Ability to lead through ambiguity and work with diverse stakeholders., • Ability to Iterate quickly and efficiently on building end-to-end experiences., • Experience handling large data sets and scaling service horizontally to a large number of users., • Experience developing cloud services and an understanding of design for scalability, performance and reliability., • Knowledge about microservice design patterns and DB access., • Knowledge of engineering practices and patterns for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and live site operations.Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Staff Software Engineer focused on Reliability to own reliability across the entire Metropolis platform and drive the comprehensive practices that ensure system availability, resilience, and observability for our mission-critical mobility infrastructure. In this role, you will build reliability from first principles, architecting failover systems, implementing chaos engineering, and improving our observability foundation to maintain 99.9%+ uptime as we scale to new markets. As the technical owner of our reliability posture, you will tackle challenges like external service failover, dependency mirroring, and database replication, working alongside highly technical teams across the organization to influence architecture decisions and establish company-wide reliability standards. You will join the Product Foundations team, playing a key role in building the foundational infrastructure that powers the future of mobility commerce. What you'll do • Own the overall reliability posture for the Metropolis platform, establishing practices, metrics, and systems that ensure 99.9%+ uptime across all services, • Design and implement automatic failover mechanisms for critical external dependencies like Twilio for SMS/voice and Stripe for payments with circuit breakers, retry policies, and degraded mode operations, • Architect and build active-passive or active-active regional deployment strategies with database replication, automated failover, and DNS-based traffic routing including disaster recovery planning and testing, • Establish comprehensive monitoring using Datadog for APM, logs, and metrics correlation, • Implement synthetic monitoring, SLO-based alerting, on-call rotation, and escalation policies while building service health dashboards that show customer impact, • Own the incident management process including workflows, tooling, post-mortem culture, runbook automation, and MTTR reduction initiatives to drive down mean time to recovery from detection to resolution, • Drive adoption of resilience patterns across all services including health checks, graceful degradation, feature flags, rate limiting, backpressure mechanisms, and chaos engineering practices, • Build and maintain local mirrors for critical dependencies with artifact caching, dependency pinning, and vulnerability scanning to prevent build failures from upstream outagesWhat we're looking for, • 8+ years of engineering experience including software engineering, reliability engineering, SRE practices, or production operations at scale, • Demonstrate expert-level reliability engineering skills including hands-on experience with multi-region architectures, failover automation, circuit breakers, chaos engineering, and disaster recovery, • Utilize production observability expertise with deep experience implementing monitoring, alerting, tracing, and logging systems at scale – specifically Datadog or similar APM platforms in high-load environments, • Apply strong systems thinking with proven ability to design resilient distributed systems that gracefully handle failures, network partitions, and external dependency outages, • Demonstrate database and data systems knowledge including replication strategies, backup/restore procedures, connection pooling, query optimization, and experience with both relational and NoSQL databases, • Leverage cloud platform expertise with production experience operating and ensuring reliability of systems on AWS including multi-region deployments, load balancing, and DNS-based failover, • Possess experience with AI-powered development tools such as Claude Code, GitHub Copilot, or similar agentic coding tools for enhanced productivity – context engineering in particular, • Exhibit excellent technical communication with ability to influence technical decisions across teams, document complex systems, conduct post-mortems, and establish reliability standards organization-wide, • Demonstrate expert-level Java and/or Scala proficiency with strong understanding of JVM performance, concurrency, and operational characteristicsWhile not required, these are a plus:, • Bring Scala experience, • Possess SRE or Reliability Engineering experience at companies known for operational excellence such as Google, Amazon, Netflix or high-growth startups where you built reliability practices from the ground up, • Demonstrate incident response leadership including experience building incident management processes, conducting blameless post-mortems, and driving MTTR reduction initiatives in production environments, • Utilize chaos engineering experience with tools like Chaos Monkey, Gremlin, or similar, including designing and executing game days and failure injection testing, • Exhibit performance optimization experience with profiling, benchmarking, capacity planning, and system tuning at hyperscale including experience optimizing for high-throughput, low-latency systems, • Show open source contributions or technical blog writing that demonstrates depth of expertise in reliability engineering, distributed systems, or production operationsOur Stack, • Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited), • Datastores: MySQL, PostgreSQL, Snowflake, • Cloud: AWS, • Version control: Git & GitHub, • AI Tooling: Copilot on GitHub, • Observability: Datadog 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $203,500 USD to $248,500 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-LR1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs — without regard to race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law. We are committed to providing a welcoming, accessible hiring experience. If you need a reasonable accommodation for any part of the application or interview process, please reach out to us at recruiting@metropolis.io.

Job Description Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Location: REMOTE Job Description : ⦁ Create business requirement documents covering functional and non-functional requirements, basis information gathered as part of workshops and interviews with client stakeholders ⦁ Review, propose, and develop solution architecture, ensuring application design aligns with the proposed framework and which are scalable, reliable and maintainable ⦁ Assess and recommend suitable technologies, tools and platforms for implementation as a part of architectural design, to meet business requirements ⦁ Review technical solutions and develop strategies for integration with different technologies and systems, to ensure seamless communication and data flow ⦁ Resolve complex technical challenges during build, deployment, and support phases while promoting reusable frameworks and artifacts ⦁ Provide specialized insights to development team and build collaborative relationships with clients and internal teams, securing successful execution of projects ⦁ Identify potential risks in the system landscape, monitor system performance and suggest optimization initiatives in line with business requirements and long-term objectives ⦁ Establish and uphold comprehensive knowledge base to guarantee that vital information is systematically recorded and readily available ⦁ Contribute to proposals and RFPs by delivering insights related to architectural solutions, for successfully delivering the proposed solutions Your contribution to the team: ⦁ Expertise in designing and reviewing solution architectures that align with business goals. ⦁ The ability to provide architectural insights to strengthen solution proposals and ensure successful delivery. ⦁ A strategic mindset to align technical solutions with business goals and market trends. ⦁ Proactively drive initiatives to ensure smooth execution and transition of projects. ⦁ The ability to engage with clients and internal teams to build strong and productive relationships. ⦁ Passion for mentoring and fostering a knowledge-sharing culture. Required Skills : • Genesys Cloud CX Architecture:, • Experience in Genesys Cloud CX (PureCloud), designing and implementing enterprise-scale contact center solutions with deep knowledge of Architect Flows, inbound/outbound routing, ACD, IVR, skills-based routing, voice bots, speech recognition, digital channels, and callback frameworks., • Contact Center Transformation: Proven experience leading large-scale migrations from Cisco UCCE/UCCX, Avaya Aura, NICE CXone, Five9, Amazon Connect, and legacy PBX platforms, driving cloud modernization and omnichannel customer experience transformation initiatives., • Genesys Routing & Automation Expertise: Strong hands-on experience with Architect Call Flows, Digital Flows, Secure Flows, Bot Flows, and Agent Scripts, with advanced expertise in bullseye routing, preferred agent routing, dynamic queue selection, priority routing, and workforce skills management. Preferred Skills : • AI & Automation Integration: Experience integrating Genesys Cloud CX with AI-powered solutions including conversational AI, virtual agents, voice bots, Agent Assist, speech analytics, sentiment analysis, and Generative AI platforms., • Cloud & Integration Expertise: Strong knowledge of cloud-native architectures and integrations with CRM, ITSM, and enterprise platforms such as Salesforce, ServiceNow, Microsoft Dynamics, AWS, Azure, and REST/API-based ecosystems., • Analytics & Workforce Optimization: Experience implementing contact center analytics, reporting, workforce engagement management (WEM), quality management, speech analytics, and operational KPI dashboards., • DevOps & Platform Engineering: Familiarity with CI/CD pipelines, Infrastructure as Code (Terraform), DevSecOps practices, automated testing, release management, and environment governance for contact center platforms Kaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

Job DescriptionPosition: Lead AWS migration Engineer Location: Seattle, WA Lead AWS migration and cloud modernization projects Migrate and administer Apache Kafka workloads using Amazon MSK. Design secure and scalable AWS architectures. Automate infrastructure using Terraform or CloudFormation. Collaborate with application, infrastructure, and DevOps teams. Implement monitoring, security, and performance optimization. 8+ years of IT experience with 5+ years on AWS. Strong hands-on experience with AWS Migration and Amazon MSK. Experience migrating self-managed Kafka to Amazon MSK. Proficiency in AWS services including EC2, VPC, IAM, S3, Lambda, ECS/EKS, and CloudWatch. Experience with Terraform or CloudFormation. Scripting knowledge in Python or Bash. Strong understanding of Apache Kafka architecture

Job Description Tiger Analytics is looking for experienced Forward Deployed Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. Role Overview: We're looking for a Forward Deployed Engineer who thrives at the intersection of client problem-solving and hands-on AI engineering. You'll partner directly with clients and engineering teams to turn complex business challenges into production-grade GenAI and Agentic AI solutions — owning the journey from first conversation to live deployment. Requirements • Partner directly with clients to understand complex business problems and translate them into GenAI and Agentic AI solutions., • Design, build, deploy, and scale LLM applications, RAG systems, AI agents, and multi-agent workflows., • Integrate AI solutions with enterprise data, APIs, databases, and business applications., • Deploy, operate, and scale solutions in production cloud environments., • Troubleshoot and optimize production systems for performance, scalability, reliability, security, and cost., • Collaborate closely with architects, ML engineers, developers, and client stakeholders in fast-moving, ambiguous environments. Qualifications: Engineering Foundation • 7+ years in software engineering, application development, ML engineering, or AI engineering., • Strong Python programming skills., • Solid grasp of APIs, system design, databases, cloud-native applications, and production deployments., • JavaScript/TypeScript experience is a plus. GenAI / Agentic AI Expertise • Proven experience building and deploying end-to-end GenAI and/or Agentic AI solutions., • Hands-on experience with LLMs — OpenAI, Anthropic Claude, Google Gemini, and open-source models., • Hands-on experience with RAG, vector databases, embeddings, tool/function calling, and AI agents., • Experience with agent orchestration, multi-agent systems, or agentic workflows., • Familiarity with frameworks such as LangGraph, LangChain, LlamaIndex, Google ADK, or similar., • Working knowledge of MCP, A2A, or similar agent integration protocols. Cloud & Production • Hands-on experience with at least one major hyperscaler — AWS, Azure, or GCP — including targeted expertise in:, • AWS Stack: Designing workflows via Amazon Bedrock (Claude, Llama), deploying scalable RAG using OpenSearch Serverless (Vector Engine), and configuring Bedrock Guardrails for client VPCs., • Azure Stack: Deploying enterprise LLMs via Azure OpenAI Service (PTU optimization), building hybrid RAG systems with Azure AI Search, and orchestrating flows using Azure AI Foundry and Semantic Kernel., • GCP Stack: Scaling applications within Vertex AI, managing production pipelines, structuring enterprise RAG with Vertex AI Vector Search + BigQuery, and building agentic flows with Gemini APIs., • Exposure to LLM evaluation, observability, monitoring, guardrails, or LLMOps. The FDE Mindset • Strong customer-facing communication and sharp problem-solving instincts., • Comfortable operating independently, navigating ambiguity, and moving fast from problem → solution → production., • Equally at home with business and technical stakeholders. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Zoox is building a purpose-built robotaxi from the ground up and running it on public roads today, with riders. Every perception, prediction, and planning decision runs on an onboard compute: a fixed-power, fixed-thermal, safety-critical, real-time system. That makes GPU execution one of the most consequential engineering problems in the company. Each new model generation wants more compute. Each new vehicle generation needs to cost less, use less power, and stay safe. Closing that gap is not a kernel-tuning exercise. It takes an end-to-end technical vision for how the whole onboard AI workload is scheduled, shared, isolated, and sized across GPUs, and the authority to drive that vision across ML, autonomy, middleware, and hardware organizations. You will join Zoox's Software Performance organization, which owns end-to-end performance of the onboard software stack: profiling and observability, GPU compute, and compute platform. You will work closely with Perception, Prediction, Planning, ML Infrastructure, and Hardware teams, and you will be a senior technical voice for onboard compute across the company. We are looking for the technical leader who sets that vision. You will define how Zoox runs AI on the vehicle, and you will own the strategy for doing more with less compute on every vehicle we build next. Zoox is building a purpose-built robotaxi from the ground up and running it on public roads today, with riders. Every perception, prediction, and planning decision runs on an onboard compute: a fixed-power, fixed-thermal, safety-critical, real-time system. That makes GPU execution one of the most consequential engineering problems in the company. Each new model generation wants more compute. Each new vehicle generation needs to cost less, use less power, and stay safe. Closing that gap is not a kernel-tuning exercise. It takes an end-to-end technical vision for how the whole onboard AI workload is scheduled, shared, isolated, and sized across GPUs, and the authority to drive that vision across ML, autonomy, middleware, and hardware organizations. You will join Zoox's Software Performance organization, which owns end-to-end performance of the onboard software stack: profiling and observability, GPU compute, and compute platform. You will work closely with Perception, Prediction, Planning, ML Infrastructure, and Hardware teams, and you will be a senior technical voice for onboard compute across the company. We are looking for the technical leader who sets that vision. You will define how Zoox runs AI on the vehicle, and you will own the strategy for doing more with less compute on every vehicle we build next. In this role, you will: • Architect onboard GPU execution. Define how perception, prediction, and planning workloads share onboard GPUs, including scheduling, multi-tenancy, isolation, and deterministic latency under contention., • Drive compute reduction. Own the multi-year roadmap to cut onboard compute per vehicle by setting latency and utilization budgets and landing the biggest levers across models, runtimes, middleware, and hardware in real releases., • Shape hardware and platform direction. Guide next-generation compute decisions (GPU and SoC selection, topology, memory budgets) with workload models and performance projections that justify them, then lead performance bring-up of each new platform., • Lead inference performance at scale. Set direction for the inference stack (TensorRT, CUDA, custom kernels, quantization) and partner with ML teams so models are designed for the hardware they ship on., • Provide technical leadership. Lead and mentor senior engineers, align directors and VPs through design docs, and make the hard calls when performance, safety, and schedule conflict. Qualifications, • BS in computer science, computer engineering, or related field and 10+ years in systems or performance engineering, including leading GPU or accelerator architecture across teams, or building and leading a performance engineering team., • Deep CUDA platform (programming model, runtime, and driver) and NVIDIA GPU microarchitecture expertise (Ampere through Blackwell, Orin, Thor)., • Proven record setting technical direction and delivering large, measurable end-to-end gains in latency, utilization, or cost., • Working knowledge of ML inference optimization (TensorRT, XLA, Triton, quantization, fusion) and expert C++ on Linux., • Ability to align ML, systems, hardware, and leadership on a shared technical plan. Bonus Qualifications, • Real-time or embedded GPU experience: autonomy, robotics, AR/VR, games, or HPC. Production GPU multi-tenancy (MPS, MIG, priority streams). New GPU architecture or platform bring-up, benchmarking methodology, or workload modeling and projections. There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Blink is looking for a Project Manager to join our growing team. If you love working with innovative and exciting clients alongside creative individuals who are highly collaborative, this is the role for you! As a Project Manager at Blink, you will lead the successful delivery of UX research, strategy, and design engagements for some of the world's most innovative organizations. You will partner closely with clients and cross-functional teams to create clarity, drive alignment, manage risk, and ensure projects are delivered on time, within budget, and at the high standard of quality our clients expect. This role will be responsible for keeping our team on the right track by monitoring schedule and budget, and helping to see and remove roadblocks that come up throughout the lifecycle of a project. Our ideal candidate will have strong interpersonal skills, a keen eye for detail, feel giddy around a beautifully organized Gantt chart, and a dedication to delivering extremely high-quality work. What you will be doing: • Lead the planning, execution, and closure of projects, ensuring they are completed on time, within scope and on budget., • Develop detailed project plans, timelines, resource allocations, and risk mitigation strategies., • Build trusted relationships with client stakeholders and serve as one of the primary points of contact throughout project delivery., • Develop and execute mitigation strategies that protect scope, quality, timeline, budget, and team wellbeing., • Understand the business implications of project decisions and balance client needs with delivery realities and project profitability., • Communicate project status, recommendations, and potential challenges in a proactive, transparent, and solutions-oriented manner., • Support project intake and prioritization in partnership with senior project and program leaders for one of our core client accounts., • Collaborate with cross-functional teams, including business development, design, engineering, human resources, operations, research, and external vendors., • Ensure compliance with internal project management standards and governance processes.What we are looking for:, • 3-6 years of project management experience leading client-facing projects within a consulting, agency, or product design environment., • This position is an in-person role, and candidates are expected to be available to work from our Seattle office on a daily basis., • Highly motivated with a focus on the details., • Exceptional collaboration and communication skills. Able to build rapport and partnership with our clients., • Passionate about process, learning, and growth., • Thrives in ambiguous environments, takes initiative to solve problems., • Ability to juggle multiple, varying projects in a fast-paced environment. Things that would be nice to have, but not required: • Familiarity with UX research methodologies, user-centered design processes, and product development lifecycles, • Experience with project financial analysis including utilization, forecast management, margin tracking, and resource planning, • Experience working in a consulting firm., • PMP, Agile, Scrum, or other project management certifications. Our Pay Philosophy We provide clear career paths and opportunities for growth while maintaining a strong sense of inclusivity in our workforce. We continue to infuse the same philosophy when it comes to posting positions by practicing salary transparency; each role is assigned a clear salary band which our recruiters will review at the start of the interview process. So while the above pay rate or salary range represents the expected hourly rate or salary for this position, in determining your actual pay it will be reviewed by a recruiter and take into consideration: your experience, your location, etc If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you. Please include in your cover letter and why you think you’d be a good fit! About Us: Blink UX is a design consulting firm creating products that people use, love and remember. Blink has over two decades of experience in UX research, strategy, and design partnering with innovative industry leaders including Amazon, Chase, Gates Foundation, Google, Meta, and NASA. For more information visit blinkux.com. Our Culture Maintaining a positive company culture requires the same careful curation, management, and rigor as any other aspect of a business. At Blink, we consciously design our culture to ensure that employees have the structure and guidance they need to fully develop their skills and abilities for a happy and rewarding career. Be sure to read up on the unique aspects of our company culture framework and ensure they align with your working style. Legitimate information regarding job opportunities with Blink UX can always be found on our career site at https://blinkux.com/careers. In order to be considered for a position at Blink UX you will always be directed to formally apply for the job via our career site. Blink UX will only ever contact you from a verifiable @blinkux.com email address and no other variation. Verify the email address is legitimate. We will never use Gmail, Yahoo, Hotmail or any other non-official email account to communicate with potential candidates. Blink will never contact you via third party communication platform like Signal, WhatsApp, or Wire. If you have additional concerns about potentially fraudulent activity, consult the “Help” section of whatever platform an individual reached out to you on (e.g. LinkedIn, Glassdoor, etc.). EEO When hiring, we aim to build teams of compassionate people with diverse experiences, thoughts, and skills. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sexual preference, gender identity or age, disability, or length of time spent unemployed. Following your application submission, we encourage you to disclose personal demographic information in order to help us comply with federal and state Equal Employment Opportunity record-keeping requirements. We will also use this information in an anonymous aggregated form to help us measure and improve diversity at Blink. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Zoox is looking for an experienced Senior/Staff Software Engineer to build, scale, and operate our custom High-Performance Computing infrastructure. As Zoox scales its autonomous vehicle development, our HPC platform must keep pace with rapidly growing compute, storage, and scheduling demands across the company. You will modernize our HPC platform—built on industry-leading technologies like Ray.io, SLURM, and Kubernetes—with a focus on reliability, scalability, and world-class developer velocity. These HPC services form the backbone of development workflows across all Zoox software teams, from data engineering to training our AI models in Perception, Planner, Prediction, to Simulation, and more. You will have a direct impact on the productivity and effectiveness of every engineering team at Zoox. The position comes with a high degree of independence and the opportunity to define Zoox's HPC platform strategy, both technically and organizationally. You will work closely with stakeholders in Autonomy and Software teams to understand their workload requirements and translate them into robust, scalable infrastructure. In this role, you will: Design and implement core services and abstractions for distributed compute infrastructure supporting hundreds of thousands of concurrent jobs Work with customer teams and other infrastructure teams to build a multiyear software engineering roadmap for the HPC platform Lead multi-quarter, cross team initiatives that drive org-wide improvements Create production-grade APIs, SDKs, and tools that make it easy for engineers across Zoox to run large-scale distributed workloads Design and improve job scheduling algorithms and auto-scaling policies to maximize reliability and resource availability Design multi-region orchestration strategies that optimize for data locality, reliability, and performance Identify and resolve systemic reliability and performance issues through profiling, analysis, and collaboration with workload owners across multiple teams Evaluate new technologies and paradigms that improve Zoox's computational and storage capabilities Develop capacity planning tools and forecasting models to support Zoox's growing compute needs Mentor junior engineers, guiding them through their career development Qualifications Experience designing and operating large-scale distributed systems in production Experience with Ray.io, particularly Ray Core and Ray Data (or equivalent technologies) Experience with Kubernetes, particularly for heterogeneous workloads Experience with cloud infrastructure on AWS or similar providers Track record of shipping and operating reliable, highly available scalable infrastructure Demonstrated ability to prioritize development work and build cross-functional consensus around technical tradeoffs Proficiency with Python Bonus Qualifications Exposure to machine learning workloads (training, inference, data generation) Experience with Kubernetes or SLURM at scale (>10k+ nodes) Experience with SLURM workload manager and advanced scheduling policies Background in algorithmic optimization or operations research Experience building developer tools and platforms used by large engineering organizations There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Description A growing multi-disciplinary design-build company is seeking telecom designers for numerous upcoming projects in Seattle. The ideal candidate will have 4+ years of experience within telecom design that was familiarity with Revit and will come from an electrical background. This is a great opportunity for a mid level designer to grow into a Project Manager role within a year at a company that highly values it's employee growth, career goals, and the relationships they build with clients & colleagues. Skills Design, revit, Electrical, autocad, data center, electrical design, electrical design engineering, electrical engineering, electrical engineering design, Construction, Project controls Top Skills Details Design,revit,Electrical Additional Skills & Qualifications RCDD Certification BICSI Certification Amazon Fulfillment Center Experience Experience Level Intermediate Level Job Type & Location This is a Permanent position based out of Seattle, WA. Pay and Benefits The pay range for this position is $50.00 - $130.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave) Job Type & Location This is a Permanent position based out of Seattle, WA. Application Deadline This position is anticipated to close on Nov 20, 2026. Workplace Type This is a fully remote position. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: 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. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Job Description Zoox is building the world's most advanced self-driving hardware and software solution. The efficiency demands of such a system require an expert fine tuning of both the compute hardware architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput at the most optimal power levels. The Software Performance team keeps the main onboard computer healthy and performant to ensure that our on-bot autonomy software meets its latency targets while also accommodating its safety goals. We are responsible for the efficient allocation of onboard compute resources (CPU/GPU/Memory/accelerators) ensuring contention is minimized and the autonomy stack executes harmoniously. As the Onboard Execution team leader within the Performance team, you will lead a highly specialized team of software performance engineers in aggressively optimizing on-bot software runtime. This is a high impact role that sits at the intersection of ML Platform, Core, and Autonomy Software - ensuring that efficient compute utilization is a central tenet emphasized across the organization. In this role, you will: • Manage a team of 8-to-10 engineers focused on optimizing the software performance of the on-bot autonomy software stack., • Partner with Autonomy, ML Platform, Middleware, Sensors, and Hardware Architecture teams to meet strict system response (latency) and compute utilization targets., • Achieve alignment between cross-functional leaders across the Software organization on compute resource allocations and budgets., • Hire, grow, and develop talent in the realm of performance optimization., • Build self-service force-multiplier frameworks & workflows that empower developers to deliver efficient & performant software.Qualifications, • BS in computer science, computer engineering, or related field, • Proficiency with C++ & concurrent (parallel) execution systems, • Deep knowledge and understanding of the Linux operating system and GPU accelerated execution, • Proven track record of cross-functional collaboration and leadership alignment, • Prior experience managing teams of five or more full-time software engineersBonus Qualifications, • Hands-on experience with GPU runtime frameworks (CUDA, TensorRT, or XLA), • Experience in robotics, aviation, automotive, or high-performance computing space, • Have shipped real-time or near-real-time software autonomy or robotics software in production, • Experiencing debugging and optimizing CPU, GPU kernels, and ML models using tools like NVIDIA Nsight Systems and, • Compute, Perfetto or similar compute observability tools Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Role We are building the data foundation that powers the full machine learning lifecycle for autonomous robotics. Our robots generate large-scale, multimodal datasets across real-world deployments, and turning that raw experience into reliable, discoverable, high-quality ML data is a core part of improving our autonomy systems. As a Data Platform Engineer, you will help design and build the platform that manages data from ingestion through processing, validation, labeling, dataset generation, training, and evaluation. This is not a traditional analytics data engineering role. You will work closely with ML engineers, researchers, labeling teams, robotics engineers, and infrastructure engineers to build scalable systems for robotics and ML data. What You'll Do • Design and build scalable data architecture for large-scale multimodal robotics and ML datasets., • Build abstractions and services for ingestion, processing, datasets, metadata, lineage, and data quality., • Develop reliable pipelines for transforming raw robot data into versioned, ML-ready data products., • Define data models, schemas, contracts, and lifecycle states across data-processing workflows., • Build systems for tracking provenance and lineage across raw data, derived artifacts, labels, datasets, and downstream ML workloads., • Develop automated validation and data-quality frameworks that detect incomplete, corrupted, or unusable data early., • Design for incremental processing, reprocessing, backfills, and versioned transformations., • Improve observability and failure diagnosis across complex data workflows., • Partner with ML and robotics teams to understand domain-specific data requirements and turn recurring patterns into reusable platform capabilities., • Work closely with infrastructure/platform teams on storage, compute, orchestration, reliability, and scalability.What We're Looking For, • Strong experience building production data platforms or large-scale data-processing systems., • Strong software engineering skills, preferably Python and/or C++/Java/Go., • Experience with distributed data processing and workflow orchestration., • Experience with data lakes/lakehouses, object storage, metadata systems, schemas, and data versioning., • Strong understanding of data quality, lineage, reproducibility, and reliable pipeline design., • Experience with technologies such as S3, Airflow/Dagster, Spark/Ray, Kubernetes, Parquet, or similar systems., • Ability to work across ambiguous organizational and technical boundaries., • Strong systems-design and engineering judgment.Nice to Have, • Experience with ML datasets or ML infrastructure., • Robotics, autonomous vehicles, sensor, video, image, LiDAR, or other multimodal data., • Experience building internal developer/platform products., • Experience operating pipelines at TB/PB scale. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description We are looking for a Senior/Staff Software Engineer to lead the development and scaling of our cloud services and APIs that handle ride hailing for Zoox’s production-grade robotaxi service. These services include dispatch, routing, payments, mobile APIs, telemetry processing, service metrics and more. In this role, you will: • Design and build scalable, efficient, and robust backend systems for Zoox’s ride-hailing service, • Own core functionality such as payments, fleet dispatch, service management, • Make significant contributions to technical roadmaps, development plans and execute on them effectively., • Uphold engineering excellence by demonstrating best practices in software development including design review, code review, software testing and documentation.Qualifications, • 8+ years of cloud software experience, • Experience running and optimizing production-grade systems for maximum efficiency and resilience., • Extensive experience with the design, implementation and operation of backend microservices., • Proficiency with Kotlin or Java, REST APIs and SQL., • Experience running production services using cloud infrastructure such as Kubernetes and DockerBonus Qualifications, • Experience with Spring Boot based microservice architectures, PostgreSQL, Elasticsearch, • Experience in transportation, robotics, logistics, or autonomous vehicles., • Experience with event driven architecture and Kafka.Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionPosition Summary: The Senior Sales Manager, Amazon is responsible for leading TCL's Home Theater business with Amazon, including account strategy, revenue growth, assortment planning, forecasting, promotional execution, vendor negotiations, and overall account performance. This role serves as the primary business relationship owner for Amazon and partners closely with Sales leadership, Business Planning, Marketing, Finance, Supply Chain, Operations, and other internal teams to develop and execute strategies that drive revenue, market share, profitability, and long-term account growth. The Senior Sales Manager will maintain a strong understanding of Amazon's business, the competitive consumer electronics landscape, and TCL's product portfolio to identify opportunities, manage business risks, and deliver against annual and long-term objectives. Duties & Responsibilities: Amazon Account Management & Sales Execution • Serve as the primary sales and business relationship owner for TCL's Home Theater business with Amazon., • Develop and execute annual and long-term account strategies aligned with TCL's revenue, market share, profitability, and brand objectives., • Manage day-to-day and strategic engagement with Amazon buyers, category leaders, and other key stakeholders., • Drive achievement of sales, assortment, promotional, and market-share objectives for the Amazon business., • Identify opportunities to expand TCL's business through product assortment, placement, promotions, pricing strategies, and new business initiatives., • Monitor account performance and proactively address sales gaps, competitive activity, operational challenges, and emerging business risks., • Build and maintain strong relationships with Amazon while positioning TCL as a strategic consumer electronics partner., • Represent TCL professionally in retailer meetings, business reviews, negotiations, and industry events. Business Planning, Forecasting & Performance Management • Develop and maintain detailed 90-day and 120-day rolling sales forecasts and account plans., • Analyze sell-in, sell-through, inventory, category performance, market share, promotional activity, and other key account metrics., • Partner with Business Planning and Supply Chain to align demand forecasts with inventory availability, product transitions, and sales plans., • Lead or actively participate in weekly and biweekly CPFR and account-planning discussions., • Conduct regular account performance reviews and identify opportunities and risks against revenue and business objectives., • Prepare business reviews, sales forecasts, account updates, and recommendations for Sales and executive leadership., • Monitor forecast accuracy and adjust assumptions based on sales trends, inventory position, promotional plans, seasonality, and market conditions., • Develop corrective action plans when performance is below expectations and coordinate cross-functional execution. Assortment, Pricing & Promotional Strategy • Develop and execute product assortment strategies that support TCL's growth objectives and Amazon's category needs., • Negotiate product placement and assortment opportunities to increase TCL's presence and share of business., • Partner with Product, Marketing, Finance, and Business Planning to develop competitive pricing and promotional strategies., • Plan and execute major promotional periods and retail events, including key Amazon promotional events and seasonal selling periods., • Evaluate promotional performance, sales lift, margin impact, and return on investment to support future planning., • Monitor competitive assortment, pricing, promotions, product launches, and category trends and recommend appropriate actions., • Support new product introductions and product transitions to maximize placement, availability, and sales performance. Contract, Program & Financial Management • Lead negotiations related to annual vendor programs and other account-specific commercial agreements with Amazon., • Partner with Sales leadership and Finance to evaluate commercial terms and support financially sound business decisions., • Manage account-specific budgets, promotional investments, marketing programs, and other approved sales expenses., • Monitor account profitability and identify opportunities to improve investment effectiveness and protect company margins., • Partner with Finance to ensure appropriate management and reconciliation of retailer-specific programs and expenses., • Evaluate proposed investments and business opportunities based on revenue potential, profitability, market-share impact, and strategic value., • Escalate significant financial, contractual, operational, or account risks to leadership as appropriate. Cross-Functional Leadership & Business Development • Partner closely with Sales leadership, Business Planning, Marketing, Product, Finance, Supply Chain, Logistics, and Operations to execute, • Amazon account strategies., • Coordinate cross-functional activities related to product launches, promotions, forecasting, inventory, pricing, and account initiatives., • Communicate account priorities, retailer expectations, business risks, and opportunities clearly to internal stakeholders., • Develop business cases and recommendations for new programs, investments, products, or growth opportunities., • Identify opportunities to improve account processes, reporting, forecasting, and cross-functional execution., • Provide market and retailer insights to support broader sales, product, and business-planning strategies., • Support special projects and other Sales activities as assigned.Physical and Work Environment Requirements:, • Primarily works in a professional home-office or office environment with regular use of computers and standard office equipment., • Ability to remain stationary and perform computer-based work for extended periods., • Ability to effectively communicate and exchange information with customers, internal teams, and business partners through in-person and virtual meetings., • Requires sustained attention and computer use for sales analysis, forecasting, business planning, presentations, and account management., • Ability to travel domestically to Amazon, TCL offices, industry events, customer meetings, and other business locations as needed., • May require flexibility outside normal business hours during key retailer events, product launches, planning periods, or other critical business activities., • Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the role.Qualifications: Must Have: • Bachelor's degree in Business Administration, Marketing, Finance, Economics, or a related field, or equivalent relevant professional experience., • 5+ years of progressive sales, account management, or commercial experience within consumer electronics, retail, e-commerce, consumer products, or a closely related industry., • Demonstrated experience managing and growing a major national retail or e-commerce account., • Strong understanding of account planning, forecasting, assortment management, pricing, promotions, and retail sales execution., • Demonstrated ability to develop and execute account strategies that support revenue growth, market-share expansion, and business objectives., • Experience developing detailed sales forecasts and analyzing sell-in, sell-through, inventory, and account performance., • Experience negotiating commercial terms, promotional programs, or other customer agreements., • Strong financial and business acumen with the ability to evaluate revenue, margin, promotional investments, and account profitability., • Strong analytical and problem-solving skills with the ability to translate sales and market data into actionable recommendations., • Strong presentation and negotiation skills with the ability to communicate effectively with senior-level customer and internal stakeholders., • Advanced proficiency in Microsoft Excel and PowerPoint, with working proficiency in Outlook and Teams., • Ability to independently manage a large, complex account while partnering effectively across multiple internal functions., • Ability to travel as required to support customer meetings, business reviews, industry events, and other account-related activities. Nice to Have: • Direct experience managing or supporting an Amazon 1P/vendor relationship, including experience working with Amazon retail/category teams., • Demonstrated success growing an Amazon consumer electronics or other durable-goods business., • Experience within televisions, home theater, consumer electronics, appliances, or other technology-driven consumer categories., • Experience managing a high-volume national retail or e-commerce account with significant annual revenue responsibility., • Experience with Amazon-specific business planning, forecasting, operational processes, reporting tools, and vendor platforms., • Experience leading CPFR or similar collaborative forecasting and replenishment processes., • Experience developing product assortment and promotional strategies for large national retailers., • Experience managing major e-commerce promotional periods, including Amazon Prime Day and other high-volume seasonal events., • Experience with market-share and competitive intelligence platforms such as Circana or similar retail measurement tools., • Experience managing MDF, promotional funding, advertising investments, retailer programs, or other customer-specific spending., • Experience evaluating promotional ROI, account profitability, margin, and investment effectiveness., • Experience working with Supply Chain and Business Planning teams on demand forecasting, inventory planning, product transitions, and new product launches., • Experience working within a global organization and coordinating with international corporate or product teams., • Existing relationships within the consumer electronics retail or e-commerce industry.Benefits:, • Vacation: Starting at 5 days per year, • Health & Wellness Days: 10 days per year (prorated based on start date), • Paid Holidays: 12 days per year, • Medical Insurance, • Dental Insurance, • Vision Insurance, • 401(k) MatchingCompensation: The anticipated base salary range for this position ranges from $150,000 - $165,000 annually. Actual compensation will be determined based on job-related factors, including skills, experience, education, training, certifications, and business needs. Employment Authorization: Candidates must be legally authorized to work in the United States at the time of hire. TCL North America does not currently sponsor employment visas for this position. We are committed to fostering a diverse and inclusive workplace where everyone is treated with dignity and respect. We provide equal employment opportunities to all applicants and employees and prohibit discrimination and harassment on the basis of any characteristic protected by applicable federal, state, or local law. Employment decisions are based on qualifications, merit, business needs, and lawful work authorization requirements. We provide reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs and practices. Applicants requiring an accommodation in the application or interview process may contact na.hrsupport@tcl.com.

Job Description The Opportunity Zoox's mission is to build a purpose-built robotaxi that gives the world a better way to ride. Every line of that autonomous driving software has to be compiled, tested, and validated reliably at scale before it ever reaches the road. You'll join the team that owns the build infrastructure making that possible: maintaining and evolving our Bazel-based build system in a large, multi-language monorepo used by hundreds of engineers. As a key contributor, you will take ownership of the build ecosystem supporting our rapidly expanding, safety-critical autonomous vehicle software. This role entails configuring and upgrading compilers, profiling and optimizing build pipelines, and serving as the primary expert for all build-related inquiries. While we have established a robust foundation using Bazel in a monorepo along with a remote build farm and cache, our goal is to elevate this into a world-class development experience. We are searching for a passionate engineer with a strong curiosity for optimizing build speeds and a commitment to empowering developers through metrics and advanced tooling within our fast-paced culture. In this role, you will: • Own and evolve the core Bazel build ecosystem that every engineer at Zoox relies on to compile code and run tests, • Directly accelerate engineering velocity by minimizing Bazel overhead, streamlining incremental builds to reduce iteration times, and working with our vendor Engflow to optimize our RBE platform, • Develop custom Bazel rules and tooling (via Starlark) that abstract complexity so product teams can focus on autonomy problems, not build friction, • Integrate software quality tools into our build system and development workflow (code coverage, static/dynamic analysis, include-what-you-use), • Build tools and dashboards to empower developers to ship better software fasterQualifications, • Bachelor's degree in an engineering, mathematics, or related field and 8+ years of experience, • Minimum of 2 years of expertise with Bazel (or similar systems like Buck or Pants), • Linux experience, • Familiarity with maintaining large polyglot code bases, • Comfortable writing Python to integrate tools and automate as much as possibleBonus Qualifications, • C++ experience, • Experience contributing to open source bazel There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Immigration / Work Authorization Notice: Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time. iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle's hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great. What You'll Be Part Of:Ad Optimization builds the pipelines and integrations that deliver iSpot's TV and streaming measurement (impressions, conversions, and attribution) to partners such as DSPs, CTV platforms, and ad servers, so advertisers can optimize campaigns in flight. As an SDE III data engineer on the team, you will build and own the Spark and Snowflake pipelines behind these partner optimization feeds, from design through production operation.Responsibilities: • Build, tune, and maintain large-scale batch Spark pipelines that turn measurement data into partner-ready optimization feeds., • Build and optimize Snowflake processing, including SQL transformations, scheduled and incremental pipelines, and data modeling., • Tune pipeline performance and cost across Spark and Snowflake., • Design data models, table layouts, and partitioning across S3, lakehouse tables, and Snowflake., • Build partner data feeds, including file and API deliveries, identity matching, privacy-sensitive data handling, and delivery SLAs., • Build data-quality checks, reconciliation, telemetry, and alerting, and handle late-arriving data and backfills., • Write and review technical designs and test plans, and lead small-to-medium projects from ambiguous requirements to production., • Own releases and deployments to team standards, including staged rollouts and rollback., • Participate in the team's on-call rotation. You will respond to alerts and incidents, lead root-cause analysis, and keep runbooks current., • Mentor other engineers through code review, pairing, and design feedback., • Use AI-assisted tools for design, development, testing, and incident work, and verify what they produce.Qualifications and Education Requirements:, • 5+ years of professional software or data engineering experience., • 3+ years building, optimizing, and operating production Apache Spark pipelines in Java or Scala and in Python/PySpark., • 2+ years of production Snowflake experience, including complex SQL transformations, performance and cost tuning (warehouse sizing, clustering, query profiling), and tasks and streams or dynamic tables for scheduled and incremental processing., • 2+ years running data workloads on AWS, including S3 and Spark on Kubernetes (EKS) or EMR., • Production experience with Airflow or an equivalent workflow orchestrator., • Advanced SQL and relational data modeling., • Experience building external partner or client data feeds that involve file and API deliveries, identity matching, privacy-sensitive data, and delivery SLAs., • Experience designing data-quality checks, reconciliation, telemetry, and alerting for batch pipelines, including handling late-arriving data and backfills., • Experience writing unit and integration tests for data pipelines., • Production ownership experience covering CI/CD, releases and rollback, incident response, and root-cause analysis., • Experience writing and reviewing technical designs and leading small-to-medium engineering projects through production delivery., • Experience mentoring engineers through code review, pairing, and design feedback., • Experience using AI-assisted engineering tools responsibly, with appropriate verification for security, correctness, and maintainability.Preferred Skills:, • Experience with Snowflake external Iceberg tables and catalog integrations, secure data sharing, or Snowpark (Python)., • Experience with Apache Iceberg and MySQL., • Experience running Spark on Amazon EKS and Airflow on Amazon MWAA., • Experience in ad tech or advertising measurement, such as attribution, conversions, audience and impression data, identity matching, or partner optimization feeds. Target cash compensation range: $117,688 - $148,289 USD Annually We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot's equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. For more information on total rewards package, go HERE Hybrid & Flexible Workplace Policy iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further. #LI-Hybrid If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway! iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team. California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.

Job Description The Perception team at Zoox is responsible for how our purpose-built robotaxi understands the world, including what happens inside the cabin. In this role, you will design, train, and evaluate vision-based in-cabin perception models that understand passengers, objects, and behaviors inside the vehicle. These models support rider safety and the operations that keep each ride running smoothly. You will independently own a model area end to end, from data curation and training through evaluation and deployment under real-time and compute constraints, working closely with partners across the company. Your work has a direct impact on rider safety and experience as Zoox scales its robotaxi service. In this role, you will... Design, train, and evaluate vision models that understand passengers, objects, and behaviors inside the vehicle, across detection, pose, and action recognition. Independently own a model or feature area end to end: curate data, define labeling guidelines, train and evaluate models, and take them through deployment. Set the quality bar for the models you own, using rigorous evaluation and error analysis so they are reliable enough to support live operations. Deploy models under real-time and compute constraints shared with the rest of the onboard perception system. Partner across product, operations, safety, and vehicle software to turn requirements into model specifications, metrics, and validation plans. Qualifications MS or PhD in Computer Science, Machine Learning, Computer Vision, or a related field with 6+ years of industry experience (PhD with 3+ years). Deep expertise in computer vision and deep learning for image and video understanding: object detection, pose and action recognition, and fine-grained classification, with hands-on experience with modern architectures (convolutional and vision-transformer detectors, and self-supervised or foundation-model backbones such as DINOv3). Strong proficiency in Python and PyTorch for model design, training, and evaluation. Experience with vision-language models or foundation-model backbones, and with auto-labeling or synthetic data for long-tail and rare classes. Track record of owning the full ML lifecycle on real-world data: dataset curation and labeling guidelines, training, metric design (precision, recall, and false-positive rate at an operating point), and error analysis. Bonus Qualifications Experience with in-cabin or occupant monitoring (occupant or driver monitoring systems), ideally including multi-camera or fisheye imagery and low-light conditions. Experience deploying deep learning models to real-time, resource-constrained systems (robotics, automotive, or edge devices) with TensorRT / ONNX or similar. Proficiency in C++ for model integration. Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Zoox is building the world's most advanced self-driving hardware and software solution. Inside the vehicle, dozens of processes across several compute hosts exchange sensor data, perception output, planner decisions, and control commands many times a second. Every millisecond spent moving that data is a millisecond the vehicle doesn't have to react, so the transport has to be fast and predictable, and keep working when a process restarts or a host comes up late. The Core Connectivity team owns how that data moves, and how fast: shared-memory IPC between processes, transport between hosts, serialization, the RPC and messaging patterns application teams build on, and time synchronization across hosts. Nearly every software team at Zoox builds on this layer, so you'll work closely with the teams that use it, and your work shows up directly in how the vehicle drives. In this role, you will: Design and build low-latency inter-process and inter-host transport in C++: zero-copy data paths, shared-memory buffers, and lock-free queues. Measure and drive down end-to-end latency and jitter as message volume grows. Make the transport hold up when processes crash or restart, hosts start out of order, and networks drop or delay packets. Chase fleet and simulation issues to root cause and fix them in the design. Build the pub/sub and RPC messaging APIs application teams build on, so they get the delivery, ordering, and latency guarantees they need without having to understand the transport underneath. Evolve message schemas and the Protocol Buffers based serialization layer: schema evolution, compact encodings, and moving existing users onto new formats without breaking anyone. Set technical direction for a part of the stack and lead designs that span several teams. Qualifications Bachelor's or Master's degree in computer science, electrical / computer engineering, or equivalent experience, and 7+ years of experience in software development. Strong modern C++ on Linux, in large codebases with performance-critical paths. A background in transport or networking software, such as messaging systems, network protocols, or communication between distributed systems. Experience building low-latency systems, and a track record of measuring and reducing tail latency, using techniques such as zero-copy, shared memory, lock-free data structures, and cache-aware data layout. Solid systems fundamentals: concurrency, memory management, process lifecycle, sockets and the Linux networking stack. • Bonus Qualifications Hands-on experience with shared-memory IPC, pub/sub or RPC middleware such as DDS, ROS 2, or iceoryx, or serialization frameworks such as Protocol Buffers, nanopb, or FlatBuffers. Experience with PTP (IEEE 1588) or other time synchronization across machines, or with UDP multicast, MTU and fragmentation behavior, or time-sensitive networking. Robotics, automotive, aerospace, or another real-time or safety-relevant domain. Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Description A growing multi-disciplinary design-build company is seeking telecom designers for numerous upcoming projects in Seattle. The ideal candidate will have 2+ years of experience within telecom design that was familiarity with Revit and will come from an electrical background. This is a great opportunity for an entry to mid level designer to grow into a Project Manager role within 2 years at a company that highly values it's employee growth, career goals, and the relationships they build with clients & colleagues. Skills Design, revit, Electrical, autocad, data center, electrical design, electrical design engineering, electrical engineering, electrical engineering design, Construction, Project controls Top Skills Details Design,revit,Electrical Additional Skills & Qualifications RCDD Certification BICSI Certification Amazon Fulfillment Center Experience Experience Level Intermediate Level Job Type & Location This is a Contract to Hire position based out of Seattle, WA. Pay and Benefits The pay range for this position is $30.00 - $50.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave) Job Type & Location This is a Contract to Hire position based out of Seattle, WA. Application Deadline This position is anticipated to close on Nov 20, 2026. Workplace Type This is a fully onsite position in Seattle,WA. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: 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. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Job Description Description A growing multi-disciplinary design-build company is seeking telecom designers for numerous upcoming projects in Seattle. The ideal candidate will have 2+ years of experience within telecom design that was familiarity with Revit and will come from an electrical background. This is a great opportunity for an entry to mid level designer to grow into a Project Manager role within 2 years at a company that highly values it's employee growth, career goals, and the relationships they build with clients & colleagues. Skills Design, revit, Electrical, autocad, data center, electrical design, electrical design engineering, electrical engineering, electrical engineering design, Construction, Project controls Top Skills Details Design,revit,Electrical Additional Skills & Qualifications RCDD Certification BICSI Certification Amazon Fulfillment Center Experience Experience Level Intermediate Level Job Type & Location This is a Contract to Hire position based out of Seattle, WA. Pay and Benefits The pay range for this position is $30.00 - $86.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave) Job Type & Location This is a Contract to Hire position based out of Seattle, WA. Application Deadline This position is anticipated to close on Nov 20, 2026. Workplace Type This is a fully remote position. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: 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. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Central Cloud Infrastructure Engineer to serve as a principal contributor to our central cloud platform infrastructure. In this role, you will architect, scale, and maintain highly resilient environments across multiple products while driving infrastructure modernization and legacy system integrations. The ideal candidate combines deep technical mastery of modern cloud-native systems with a strong collaborative mindset to interface across engineering teams, troubleshoot complex environments, and provide technical guidance to scale the team's overall competency. What you'll do • Architect, implement, and maintain scalable, reliable, and secure cloud infrastructure environments across multiple company products, • Design and manage infrastructure modernization initiatives (CI/CD, IaC, K8s, AI, etc) and lead the complex integration of legacy or established systems into modern, cloud-native environments, • Craft comprehensive disaster recovery strategies and engineer production-grade technical solutions to safeguard system uptime, • Serve as a technical focal point for troubleshooting, system deep-dives, and resolving infrastructure bottlenecks across both Linux and Windows operating systems, • Ensure global cloud environments continuously meet and exceed stringent security guidelines and technical compliance frameworks, specifically PCI and SOC2, • Lead incident response and root-cause analysis, and champion blameless postmortems and error-budget discipline across the team, • Provide technical leadership and guidance to junior and mid-level engineers, helping to scale the infrastructure team's overall technical competencyWhat we're looking for, • Hold a BS degree in Computer Science (or a relevant technical/engineering discipline) and 5+ years of hands-on experience, or equivalent professional experience (8+ years) working in high-growth cloud environments, • Demonstrate deep production-level technical experience using AWS, Terraform, Atmos, and Python (or equivalent automation language - Bash/Go), • Demonstrate hands-on expertise with a modern observability stack (Datadog or equivalent: APM/distributed tracing, logs, metrics, RUM), including defining SLOs/SLIs and managing monitors-as-code, • Leverage production experience with service mesh and L7 proxies (Envoy/Istio) and Kubernetes ingress in high-throughput request paths, • Utilize advanced operational knowledge of Kubernetes/EKS, Helm, and overall container orchestration, • Apply strong secrets-management and rotation practices (Infisical, Vault, or AWS Secrets Manager) in a PCI/SOC2 context, • Showcase hands-on experience working with managed streaming data infrastructure via AWS MSK (Kafka) alongside various SQL and NoSQL AWS managed database solutions, including Amazon Aurora, • Maintain a strong understanding of cloud networking architecture, security protocols, and firewalls, • Exhibit expert competency managing, configuring, and troubleshooting Linux (and Windows where applicable) server environments, • Use excellent written and verbal communication skills to translate complex infrastructure concepts into clear, actionable technical documentationWhile not required, these are a plus:, • Possess previous experience working inside innovative, high-growth tech start-ups or fast-paced corporate engineering environments 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to $225,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AR1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs — without regard to race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law. We are committed to providing a welcoming, accessible hiring experience. If you need a reasonable accommodation for any part of the application or interview process, please reach out to us at recruiting@metropolis.io.

Job Description Storm Reply is an AWS Premier Consulting Partner and the specialist for professional cloud computing services in the Reply network. Through consolidated expertise and many years of experience in the creation and management of Data and Analytics solutions, Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (PaaS), Storm Reply supports global clients in the implementation of cloud-based systems and applications. Our goal is to use AWS to create added value for mid-sized and large companies and to help them exploit the full potential of the cloud. As an Amazon Connect Lead / Senior Delivery Consultant, you will collaborate with Storm Reply resources and clients to derive, develop and deliver business and technology solutions and service offerings using the latest AWS CX-oriented technology. You will collaborate with project and program managers, providing them with the necessary support and tools to ensure successful project execution in alignment with strategic objectives and client expectations. You will deliver industry-leading work. Responsibilities -Design, develop and deliver business and technology solutions using Amazon Web Services products, services and platform offerings -Collaborate with clients to determine how to best resolve client business and technology challenges -Use Storm, Reply and industry best practices to deliver client solutions effectively and in a quality-focused manner -Engage AWS partner resources where necessary and applicable to demonstrate capabilities of AWS platforms, products and services in client pursuits, AWS industry events and client engagements -Participate in the Storm Reply business development activities including but not limited to, client meetings, solution development, proposal / Statement-of-Work writing, client and project management as necessary to meet Storm Reply, AWS and Client business objectives -Maintain AWS certification in one or more areas as a certified AWS Solution Architect or similar (as provided by AWS Certification and Training) -Maintain working up-to-date knowledge of AWS products and services available to customers and their general uses -Work independently and in client-facing roles as needed to support Storm Reply and client businesses Minimum Requirements -Current AWS Certification as Solution Architect - Associate or similar -Three (3) years up to and including current hands-on experience implementing AWS-based solutions in client environments -Demonstrated Amazon Connect solution design and engineering expertise -Demonstrated DevSecOps experience on AWS with AWS and/or industry-standard tools including AWS CloudFormation and AWS Lambda -Demonstrated work in Agile™ development environments, working knowledge of Scrum™, Agile™ ceremonies, planning activities and project cadence Preferred Qualifications -AWS Solution Architect Professional Certification -Experience with AWS Cloud Adoption Framework (CAF), AWS Well-Architected Program, AWS Migration Acceleration Program (MAP), other AWS partner programs -Demonstrated experience in delivered client projects in one or more AWS platforms such as but not necessarily limited to: Amazon Connect, AWS Location Services, AWS Braket, Amazon Sagemaker, Amazon Bedrock, Amazon Q/Quick, Amazon Lightsail, Amazon Pinpoint, Amazon Supply Chain, AWS Outposts, AWS IoT, AWS CloudFormation, AWS EKS, AWS Elemental/Media Services, Amazon API Gateway, AWS Managed Blockchain, Amazon RedShift, Amazon Amplify, Amazon Code Development tools -Bachelors Degree in Computer Science, Digital Technology or related field -Consulting industry experience -Industry-specific experience in one ore more of the following industries: manufacturing, automotive, financial services, healthcare, retail/consumer package goods, power and utilities, education and/or public sector About Reply Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services. The base compensation range for this full-time position is between $150,000 - $175,000 (may go higher) plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process. Reply is an equal-opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionDirector of Sales Locations: Remote from Seattle, WA or San Francisco, CA Reporting To: Vice President of Sales Industry: Semiconductor, integrated circuits, memory | Employees: 700 Travel: Very limited Responsibilities: • Developing and executing strategic account plans to drive revenue growth for assigned accounts and territories, • Generating new business opportunities, growing customer relationships, • Serving as a trusted advisor to engineering and procurement teams, • Collaborating with application engineers, product managers, and marketing to support customer requirements, • Forecasting revenue and maintaining accurate pipeline reporting, • Managing price negotiations, demand creation, and design-in activities across multiple products, • Selling products such as – memory chipsets, CXL controllers, PCIe Retimers, IO Hub, Switches Requirements:, • 15+ years in technical sales and business development in the semiconductor industry, • Strong understanding of the data center ecosystem – CSP, OEM, ODM, • Experience working with CSPs, ODM, and OEM partners, • Experience navigating global corporate environments, • Experience selling into and building relationships with companies like Microsoft, Amazon, HP, Dell, Meta, Lenovo, and Google Benefits:, • 100% covered medical, dental, vision for the employee (90% coverage for families), • 401K with company match (5%), • FSA, HSA options, • Life insurance, long-term and short-term disability, and more Compensation:, • Salary: $150K - $250K, • Sales commission and stock options

Job Description Who We Are: At Rover, pets and their people are at the heart of everything we do. We connect pet parents with trusted pet care across the U.S., Canada, Europe, and Australia. Headquartered in Seattle and Barcelona, we’re a values driven, fast-growing tech company focused on building safe and personalized experiences tailored to the needs of each unique pet. We’re investing in AI as a business accelerator and provide every team member access to AI tools in service of creating better experiences for our community. We are proud to be recognized as a great place to work, having been named among the 100 Best Companies to Work For in Seattle Business Magazine and Washington’s Best Workplaces in the Puget Sound Business Journal. At Rover we’re committed to creating an accessible, inclusive, and welcoming community, which starts with our employees. Want to make an impact? Join our pack and come work (and play!) with us. Who we're looking for: As a Senior Product Analyst, you'll be the analytics partner to Rover's new Pricing Experience team. The team's goal is to make Rover a better value for pet parents by equipping care providers with the tools they need to become more competitive in the market. Because care providers set their own prices on Rover, the team focuses on the product experience, tools, and insights around price. You'll help the business make data-driven decisions about the pricing experience, from sizing early opportunities to designing, running, and analyzing the complex experiments that drive value in our marketplace. You'll also be a steward of marketplace performance. You'll help the team understand and explain what's happening in the marketplace, spot what's driving changes in key metrics, and dig into the root cause. When something needs action, you'll bring the right people together to find a solution. This is a hybrid position that has the minimum expectation to work out of our Downtown Seattle Office two days per week on Mondays and Thursdays. For this reason, candidates must be based in the Greater Seattle Area. Additionally, applicants must be currently authorized to work in the United States on a full-time basis, without the need for current or future employer sponsorship for an employment-based visa status. Your Responsibilities: Design, run, and read out experiments for the Pricing Experience team, with a focus on geo and market-level tests. Use the results to recommend which changes to move forward with, even when the data is ambiguous. Partner with the Pricing Experience PM and Data Scientist to find and size opportunities and help shape the roadmap, including building analyses like elasticity models. Present findings and recommendations to senior leadership and the product organization. Be the analytics point of contact for price-related data, and track how it affects key marketplace metrics. Your Qualifications: 5+ years of experience in analytics. Experience designing and analyzing A/B tests and quasi-experiments, with a working knowledge of causal inference methods (e.g. difference-in-differences, synthetic control). A track record of owning analyses end to end in ambiguous or new areas where metrics weren't already defined, and using data to influence product decisions. Strong written and verbal communication, with the ability to explain complex or ambiguous findings clearly to technical and non-technical audiences. Strong SQL and Python skills, plus experience with BI visualization tools. Regular, effective use of LLM tools in your analytics work. Nice to have: Robust experience with agentic AI tools (e.g. Claude Code) in your day-to-day work. Prior experience with pricing analytics. Prior experience in a two sided marketplace. Familiarity with modern data tools and event-based datasets (e.g. Amazon Redshift, dbt, Statsig, Amplitude). Benefits of working for Rover: Competitive compensation 401k match Flexible PTO Competitive benefits package, including medical, dental, and vision insurance Commuter benefits Bring your dog to work (and unlimited puppy time) Doggy benefits, including $1000 toward adopting your first dog Stocked fridges, coffee, soda, and lots of treats (for humans and dogs) and free catered lunches semi-monthly Regular team activities performed in-person and virtually Compensation: • In the greater Seattle area the first-year salary range is $129,139-171,755. Additionally, Rover offers benefits to full-time employees., • The cash compensation offered for this role will be dependent on the candidate's experience, qualifications, skills, and abilities as demonstrated in the interview and hiring process. Rover is an equal opportunity employer committed to promoting a diverse, inclusive and inventive environment with the best employees. We’re driven by seeing our people succeed and grow, and we work to ensure everyone contributes to their fullest potential. We consider all qualified applicants without regard to age, race, color, ancestry, national origin, religion, disability, protected veteran status, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable laws, regulations and ordinances. We are committed to work with you to look for reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. _

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. We are seeking a Staff ML Systems Engineer to architect and build the distributed infrastructure that powers large-scale machine learning workflows across the organization. This role sits at the intersection of machine learning, distributed systems, and platform engineering. You will be responsible for designing scalable systems that support data processing, model training, evaluation, and post-processing pipelines while enabling ML teams to efficiently develop, operate, and scale production-grade workflows. You will play a critical role in defining the architectural patterns, tooling, and infrastructure that underpin our machine learning platform. What You'll Get To Do • Design and build scalable distributed machine learning pipelines across data processing, model training, evaluation, and post-processing workflows., • Architect distributed execution systems, including parallelization strategies, workload scheduling, resource allocation, and fault tolerance mechanisms., • Develop reusable abstractions, frameworks, and libraries that simplify distributed pipeline development., • Optimize performance across distributed CPU and GPU environments, improving throughput, utilization, and reliability., • Design systems that effectively manage data partitioning, memory utilization, serialization overhead, and compute efficiency., • Partner closely with ML engineers, data engineers, and infrastructure teams to productionize research workflows and enable large-scale model development., • Establish best practices and engineering standards for distributed machine learning infrastructure., • Evaluate and guide decisions around distributed computing frameworks, infrastructure technologies, and system design trade-offs., • Improve observability, debugging, monitoring, and operational tooling for distributed systems at scale.What You Have, • 5+ years of experience building distributed systems, backend infrastructure, machine learning platforms, or large-scale data processing systems., • Strong Python programming skills, including experience with concurrency, performance optimization, and systems development., • Experience with distributed computing frameworks such as Ray, Spark, Dask, Flink, or similar technologies., • Experience designing and scaling data pipelines or machine learning workflows., • Strong system design skills with demonstrated expertise in scalability, reliability, and performance optimization., • Experience diagnosing and resolving bottlenecks in distributed environments., • Ability to work cross-functionally and drive technical decisions across multiple teams.The Extras That Set You Apart, • Experience building infrastructure for machine learning training and inference systems., • Familiarity with modern ML frameworks such as PyTorch or TensorFlow., • Experience with multi-node or multi-GPU training architectures, including DDP, FSDP, DeepSpeed, or similar technologies., • Experience operating Kubernetes-based infrastructure and large-scale cloud systems., • Deep understanding of distributed systems concepts including data locality, serialization costs, scheduling, and resource management., • Experience with distributed debugging, observability, and workflow orchestration platforms., • Proven ability to establish technical direction and influence architecture across organizations. Our salary range is highly competitive with the market, but we take into consideration an individual's background and experience in determining final salary. Base pay offered may vary depending on geographic location, job-related knowledge, skills, and experience. In addition to competitive compensation, FieldAI offers comprehensive benefits, equity participation, and the opportunity to contribute to cutting-edge advancements in AI and robotics. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Join the team behind iconic brands like Huggies®, Kleenex®, Cottonelle®, Scott®, Kotex®, Poise®, Depend®, and Kimberly-Clark Professional® At Kimberly-Clark, it’s all here for you—innovation, growth, and the chance to make a real impact. You’re not the person who will settle for just any role. Neither are we. Because we’re out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference. Here, you’ll bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands. In this role, you’ll help us deliver better care for billions of people around the world. It starts with YOU. Lead strategic marketing planning and execution to drive holistic demand creation across the Feminine Care and Child Care Amazon business, integrating retail media, organic levers, and enterprise media partnerships to both create and capture demand. Own demand creation on Amazon, influencing shoppers across the full path to purchase and ensuring a cohesive, full‑funnel approach. Provide marketing and consumer expertise to support the development of integrated business plans that efficiently deliver volume, share, and profit objectives. Strengthen strategic partnership with Amazon by aligning brand imperatives to customer business models and delivering actionable insights and thought leadership. About You In one of our professional roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. Job responsibilities include: • Lead cross‑functional collaboration across Brand, Enterprise Media, Media Analytics, Customer Teams, agencies, and Amazon Advertising to deliver holistic demand creation strategies., • Actively participate in Digital Pods to drive cross‑functional objectives, accelerate decision‑making, and ensure coordinated execution across media, content, and commerce., • Develop insight‑led, full‑funnel programs that integrate retail media, organic levers (Brand Stores, PDPs, content), and enterprise media partnerships to create and capture demand across the Amazon ecosystem., • Partner with agencies and Amazon Advertising to design, activate, and optimize strategies that ladder to brand and customer objectives., • Build and scale a strong test‑and‑learn culture by defining customer‑specific learning agendas, executing experiments, and applying data‑driven insights to continuously improve performance., • Lead annual Amazon marketing strategy, plan, and budget development; strategically allocate investment to balance demand creation and demand capture while delivering volume, share, and profit targets., • Own 360 launch go-to-market demand plans across Feminine Care and Child Care to drive sustainable growth and support brand equity., • Serve as the primary customer contact for demand creation, insights, and joint business planning, strengthening partnerships through collaborative programs and shared growth initiatives., • Provide Digital Commerce leadership and strategic thought partnership within the broader marketing organization, delivering clear POVs, actionable insights, and recommendations to inform enterprise decision‑making., • Own on‑site retail media, affiliate, and organic demand levers, and collaborate with social, national, and video teams to ensure cohesive full‑funnel strategies and a seamless end‑to‑end customer journey into Amazon., • Set optimization and measurement direction for demand creation efforts, defining success metrics, learning agendas, and decision frameworks; partner with analytics and agency teams to interpret performance reporting and translate insights into clear optimization actions and strategic recommendations. To succeed in this role, you will need the following qualifications: • 5+ years’ experience in consumer promotion, field sales and marketing., • Experience should include consumer packaged goods (CPG) industry., • Minimum 1+ years experience in Amazon or performance media, ideally with budgets $10M+ Preferred (not essential, but desired): • Master’s degree or MBA is preferred., • Experience working with large retail accounts is preferred. Led by Purpose. Driven by You. Total Benefits We believe that our employees are our greatest asset, and we're committed to providing them with the resources they need to be successful. If you're looking for a rewarding career with a company that cares about its employees, then Kimberly-Clark is the place for you. Here are just a few of the benefits you’d enjoy working in this role for Kimberly-Clark. For a complete overview, see _ Flex That Works at Kimberly-Clark We believe great work happens when people come together with purpose. That’s why we offer a flexible work model that blends remote work with intentional in-person collaboration — helping you connect, grow, and innovate while maintaining the balance you value. To Be Considered Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role. In the meantime, please check out the _. And finally, the fine print…. For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world, which is why we seek to build a workforce that encompasses the experiences of our consumers. When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law. The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position. Salary Range: 140,320 – 173,360 USD At Kimberly-Clark, pay is just one aspect of our total rewards package, which also includes a variety of benefits and opportunities to achieve, thrive and grow. Along with base pay, this position offers eligibility for a target bonus and a comprehensive benefits suite, including our 401(k) and Profit Sharing plan. The anticipated base pay range for this role is provided above for a fully qualified hire. Actual pay will depend on several factors, such as location, role, skills, performance, and experience. Please note that the stated pay range applies to US locations only. Employment is subject to verification of local policies. Employment is subject to verification of pre-screening tests which may include drug screening, background check, and DMV check. Veterans and members of the Reserve and Guard are highly encouraged to apply. Kimberly-Clark will support in-country relocation for the chosen candidate for the role. The benefits provided will be per the terms of Kimberly-Clark’s applicable mobility policies. The benefits/policy provided will be decided at Kimberly-Clark’s sole discretion.

Ful-time role only - Preferred only US Citizens or GC Holders HCLTech is looking for a highly talented and self- motivated Data Analyst & Validation Engineer (ETL QA Focused). Only US Citizens or GC holders required Full time role) to join it in advancing the technological world through innovation and creativity. Key Responsibilities Must have Skills - 6-10 years Data Validation& Validation & AWS Data services (Redshift, Lake Formation, Athena, and S3-based data lakes), Python, ETL ELT concepts, QA methodology (Test planning & design, Defect lifecycled. Data Validation & Verification • Validate transformation logic against business rules and documented specifications, • Perform source-to-target data reconciliation — verifying completeness, accuracy, and consistency, • Identify data anomalies, silent failures, and drift in pipeline outputs, • Build and maintain automated data validation suites that execute as part of pipeline runs, • Conduct periodic data audits beyond automated checks QA Process Definition & Governance • Define acceptance criteria for each ETL pipeline and transformation step — establishing what "correct" means in measurable, testable terms, • Define Definition of Done (DoD) for all data deliverables — specifying when a pipeline output is considered production-ready, • Create and maintain data quality test plans covering functional correctness, edge cases, regression, and performance, • Design test cases for new transformations before they reach production (shift-left testing), • Establish data quality SLAs — freshness, completeness, and accuracy thresholds, • Define entry and exit criteria for pipeline releases — what must pass before promoting changes, • Maintain a defect taxonomy — categorizing data issues (schema drift, logic errors, source issues, timing issues) for root cause tracking and trend analysis, • Define sign-off workflows — who approves what before data reaches the UI layer Test Strategy & Frameworks • Design the overall data testing strategy:, • Unit tests for individual transformation logic, • Integration tests for end-to-end pipeline correctness, • Regression tests for ongoing stability, • Smoke tests for post-deployment verification, • Negative tests for resilience (nulls, duplicates, out-of-range values, schema violations), • Build reusable, parameterized validation patterns applicable across multiple pipelines, • Implement data contract validation — ensuring upstream sources meet agreed schemas and value constraints, • Integrate quality gates into CI/CD pipelines for automated release blocking Documentation & Traceability • Document expected behavior for each transformation (input, logic, expected output), • Maintain data quality runbooks — investigation and resolution procedures for common issues, • Create traceability matrices linking business requirements to test cases to pipeline outputs, • Document known data limitations, assumptions, and technical debt, • Maintain a living catalog of data quality rules and their rationale Monitoring, Observability & Reporting • Build data quality dashboards tracking pass/fail rates, trend analysis, and SLA compliance, • Configure alerting for data quality threshold breaches, • Track and report data quality metrics (DQ score, defect density, mean time to detect, mean time to resolve), • Conduct data quality retrospectives — identifying gaps and improving coverage Collaboration • Participate in pipeline design reviews — flagging quality risks early in development, • Work with product and business stakeholders to translate vague requirements into testable assertions, • Collaborate with data engineers on pipeline improvements driven by quality findings, • Support UI/frontend teams in verifying rendered data correctness Required Qualifications Technical Skills Area Requirement SQL Advanced — window functions, CTEs, set comparisons, complex joins, data profiling queries AWS Data Services Hands-on experience querying and validating data in Amazon Redshift, AWS Lake Formation, Athena, and S3-based data lakes Python (or equivalent scripting) Validation scripts, data comparison tools, automation frameworks ETL/ELT Concepts Deep understanding of extraction, transformation, and loading patterns, including common failure modes QA Methodology Test planning, test case design, acceptance criteria definition, defect lifecycle management Data Profiling Statistical profiling, distribution analysis, completeness and uniqueness checks Validation Frameworks Hands-on experience with at least one: Great Expectations, dbt tests, Soda Core, or equivalent custom frameworks Version Control Git — managing test suites alongside pipeline code Experience • 6-10 years of combined experience in data engineering, data QA, or analytics engineering, • Has owned data quality for at least one production system end-to-end (not just contributed), • Has defined acceptance criteria and quality gates that blocked defective releases, • Has built automated validation suites that caught real production issues, • Comfortable reading and reasoning about pipeline code (transformation logic, orchestration DAGs), • Experience working with curated/aggregated datasets that serve application UIs, • Familiarity with AWS Glue, Redshift Spectrum, and AWS data pipeline services Preferred Experience • Experience with BDD-style data testing (Given/When/Then for data transformations), • CI/CD integration for data quality — automated gates in deployment pipelines, • Experience defining and tracking data SLAs/SLOs, • Knowledge of regulatory or compliance data requirements, • Performance testing for pipelines — verifying latency and throughput, • Exposure to chaos engineering for data — intentionally injecting bad data to test resilience, • Experience with pipeline orchestration tools (Glue Orchestrator, Step Functions, Airflow), • Experience with IAM permissions and Lake Formation access controls for data governance Pay Range Minimum: 69000 Pay Range Maximum: 128000 HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation. A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You’ll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Role: CAA Programmer - CATIA /Enovia CAA Location: Seattle, WA /Remote | 5 - 13 years of experience Hire Type: Full Time Job Description Must Have Technical/Functional Skills • 5+ years of experience with Computing and Programming language like C++, C, across native Unix platforms., • Deep knowledge of software/hardware compatibility and solutions approach., • Experience with Project Management Tools like Team Foundation Server, Quality Center, • Experience with Relational Databases such as SQL-Server, Oracle, Teradata, • Experience with Configuration Control Tools such as GIT, Visual Source Safe, Clear Case, SCCS, • Experience with Windows, Solaris, Linux (Oracle 8+ and Red Hat 6-7) Operating Systems, • Experience with Documentation Tools such as Microsoft tools such as Word, Visio, and PowerPoint, • Experience in developing software solutions in the Java/modern programming language., • Experience with developing web applications Roles & Responsibilities • Leads and performs the design, program, test, implementation and documentation of complex computing applications and software or computing architecture and computing application system designs in Electrical Engineering Systems, • Maintains the CADDStation suite of application running on Solaris system hosted on Linux OS., • Monitors and maintains the CADDStation Ecosystem hosted on Solaris platform, • Leads analysis of end user processes to define application requirements, • Contributes with complex Unix based solutions for hardware/software upgrade and refactoring., • Modifies or upgrades complex applications to maintain functionality and performance in Electrical Domain, • Identifies and recommends improvements, • Identifies and resolves complex programming or application architecture problems, • Identifies issues and provide solutions to multiple issues that may be found Generic Managerial Skills, If any • Effective leadership and mentorship skills., • Exceptional communication to bridge technical and non-technical teams., • Strong analytical and problem-solving skills., • Ability to manage multiple programs and priorities simultaneously., • Stakeholder management and cross-functional collaboration. Preferred Qualifications (Desired Skills/Experience): • Bachelor of Science or higher from an accredited institution in Software Engineering, Computer Science, Computer Engineering or other technical degrees, • Experience with DevOps/DevSecOps and CI/CD practices, methodologies and tooling, • Experience with Azure DevOps (ADO) or Team Foundation Server (TFS), GitLab, GIT, IIS, Wi ndows Server, • Experience with PCF (Pivotal Cloud Foundry)/Tanzu and/or exposure to Amazon Web Services, Google Cloud Platform, or Microsoft Azure, • Experience with Cloud technologies and/or Cloud-native app development and microservices

Role summary We are looking for a hands-on SRE Technical Architect to design and lead the development of a custom observability dashboard across multi-cloud environments. The architect will own the technical solution, lead a team of developers, and provide guidance across telemetry integration, dashboard engineering, reliability, and deployment. Key responsibilities • Own the solution architecture: Define a scalable observability architecture across AWS, Azure, and GCP, covering infrastructure, Kubernetes, applications, and services., • Design custom dashboards: Translate operational and business requirements into unified views of service health, availability, latency, errors, capacity, and SLO compliance., • Lead the development team: Break down the architecture into deliverables, guide implementation, review code and designs, resolve technical blockers, and establish engineering standards., • Integrate telemetry: Design the collection, processing, correlation, and visualisation of metrics, logs, traces, and events using OpenTelemetry, cloud-native services, and observability platforms., • Guide full-stack engineering: Define API contracts, backend services, data models, and frontend components for interactive dashboards, drill-downs, and service dependency views., • Embed SRE practices: Implement SLIs, SLOs, error budgets, actionable alerting, incident diagnostics, and automation to reduce operational toil., • Ensure production readiness: Address security, role-based access, performance, resilience, telemetry retention, and operational cost., • Drive technical delivery: Collaborate with platform, application, cloud, and operations teams from requirements and proof of concept through production rollout. Required technical skills • Multi-cloud architecture - Strong hands-on experience with at least two of AWS, Azure, and GCP, including monitoring integrations and cross-cloud connectivity., • Observability engineering - OpenTelemetry, Prometheus, Grafana, and log/trace technologies such as OpenSearch/Elasticsearch, Loki, Tempo, or Jaeger., • Cloud-native monitoring - Integration with Amazon CloudWatch, Azure Monitor/Application Insights, and Google Cloud Monitoring/Logging, as applicable., • Custom dashboard development - Ability to architect frontend applications using React, Angular, or equivalent, with backend services in Python, Go, Java, or Node.js., • Data and integrations - REST APIs, streaming/event-driven ingestion, time-series data, query optimisation, telemetry correlation, and common tagging standards., • SRE and cloud-native platforms - SLIs/SLOs, error budgets, incident management, Kubernetes, containers, distributed systems, and resilience patterns., • Engineering automation - CI/CD, Git-based development, infrastructure as code, automated testing, and deployment practices., • Technical leadership - Architecture ownership, developer mentoring, code reviews, technical planning, and hands-on troubleshooting. Expected deliverables • Multi-cloud observability architecture and implementation roadmap., • Telemetry integration standards and a common data model., • Custom dashboard MVP with service-level views and diagnostic drill-downs., • SLO dashboards, alerting standards, and operational runbooks., • Development guidelines, deployment documentation, and team knowledge transfer. Key hiring distinction: This should be a hands-on architect who can lead developers building a custom observability product, not only an SRE operations lead or a monitoring-tool administrator. The pay range for this role is $180,000-$200,000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate. Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ADA_Accomodations@TechMahindra.com.