associate multi-modal engineer (civil engineering, associate)

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associate facilities engineer

associate multi-modal engineer (civil engineering, associate) Jobs in Seattle

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mechanical project engineer iii Jobs in Seattle

mechanical project engineer iii

associate multi modal engineer civil engineering associate

City of Seattle

<div><div><div><h2 class="jobSectionHeader">Position Description</h2></div>
<div>Join us in shaping Seattle&rsquo;s streets!
At the Seattle Department of Transportation (SDOT), we don&rsquo;t just move people&mdash;we connect communities, build safer streets, and create a more sustainable city.
With a bold vision for the future, we&rsquo;re tackling big challenges: making travel safer, cutting carbon emissions, and ensuring reliable, affordable transportation for everyone&mdash;no matter who they are or where they live.
Seattle is growing fast, and we&rsquo;re growing with it. Thanks to a historic voter-approved $1.55 billion investment in transportation in 2024, we&rsquo;re building sidewalks, fixing bridges, and improving transit connections to keep our city moving.
We&rsquo;re a team of problem solvers, planners, engineers, communicators, and field crews&mdash;bringing purpose-driven work to life. Now, we need passionate, innovative talent like you. Let&rsquo;s build a Seattle that works for everyone&mdash;together!
Are you looking to work with a team of professionals whose mission is to deliver a high-quality transportation system?
The Capital Projects Division has a great opportunity for two (2) Associate Multi-Modal Engineers (Civil Engineer, Associate.). We are seeking motivated and creative individuals to be design leads in the Engineering Services group with a team of professionals whose vision is to be the most innovative and responsive transportation agency in the region. The Associate Multi-Modal Design Engineer will play a lead role in the design and construction of capital improvements projects within the City of Seattle and serve as the technical designer for civil infrastructure projects likely focused on bicycle, transit, and pedestrian safety/mobility projects. Projects may include work related to Neighborhood Greenways, Protected Bike Lanes, Shared-Use Trails, Roundabouts, Transit Stops &amp; Corridors, and Pedestrian Safety Improvements.</div>
<div><h2 class="jobSectionHeader">Job Responsibilities</h2></div>
<div><ul><li>Perform preliminary and final analysis and design for intersection geometrics, ADA compliant curb ramps, signing &amp; striping, sidewalk and roadway grading, drainage, traffic calming tactics, protected bike lanes, transit corridors, and shared-use trails</li><li>
Prepare plans utilizing AutoCAD and Civil 3D</li><li>
Prepare preliminary concepts designs and perform alternatives analysis</li><li>
Write and review technical specifications, reports, memoranda, transmittals, and other communications</li><li>
Perform quantity take-offs and cost estimating</li><li>
Participate in meetings and presentations, both public and internal</li><li>
Coordinate project activities with other staff including drafting specifications, surveys, project managers, project engineers, etc.</li><li>
Perform and document engineering analysis and calculations in support of design work and other related activities in support of projects</li><li>
Work with project managers and project engineers to coordinate, resolve issues, and support efforts to keep projects within scope, schedule, and budget</li><li>
Provide support to supervisors and project managers for preparation of permit applications and accompanying plans/specifications packages</li><li>
Research existing conditions and perform technical field investigations and inspections as required to support a project through design and construction</li><li>
Supports department goals in promoting diversity and social justice</li></ul></div>
<div><h2 class="jobSectionHeader">Qualifications</h2></div>
<div>Minimum Qualifications: 
Education:<ul><li>
Bachelor&rsquo;s degree in civil engineering or civil engineering technology.</li></ul>
AND
Experience:<ul><li>
Three (3) years of professional experience in civil engineering.</li></ul>
OR: An equivalent combination of education and experience that demonstrates the ability to perform the position duties.
License, Certification:<ul><li>
Current Washington State driver's license or evidence of equivalent mobility.</li></ul> 
Though not requirements, strong candidates will have some of the following experience or are able to describe comparable experience:<ul><li>
At least three years of civil engineering experience in design of bicycle facilities, transit improvements, pedestrian facilities, roadways, drainage infrastructure, and pedestrian signal and lighting improvements related to public works transportation facilities</li><li>
Strong proficiency in MS Word, MS Excel, SharePoint, Adobe Professional, AutoCAD, and Civil 3D</li><li>
Familiarity with City of Seattle, WSDOT, NACTO, AASHTO, MUTCD, and City/County roadway design standards</li><li>
Familiarity with WA State DOE and City of Seattle drainage ordinances and codes/regulations involving storm-water discharges are highly desirable</li><li>
Multilingual</li></ul> 
 Work Environment / Physical Demands:<ul><li>
Work is typically performed in a hybrid work environment in which a minimum of 3 days of work is completed in a City office, and 2 days of work is completed remotely in a regular 40-hour work week.</li></ul><ul><li>
May be required to work nights, evenings, weekends, and holidays and in field assignments with exposure to all types of weather, traffic conditions, hazardous/toxic substances, and construction sites.</li></ul></div>
<div><h2 class="jobSectionHeader">Additional Information</h2></div>
 <div>Your application will not be reviewed if these items are missing or incomplete.
Hiring Process 
 
Applications are reviewed after the posting closes. Qualified candidates must submit the following to be considered:<ul><li>
Completed NEOGOV online application.</li><li>
Cover letter describing how your skills and experience align with the stated job responsibilities and qualifications.</li><li>
Current r&eacute;sum&eacute; indicating relevant experience and education.</li><li>
Supplemental questionnaire responses.</li></ul>
Job offer is contingent upon verification of credentials and other information required by the employment process and may include a criminal history background check.
Please note this job advertisement is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
The full salary range for this position is $62.32 - $72.73 per hour.
The City of Seattle offers a comprehensive benefits package including vacation, holiday, and sick leave as well as medical, dental, vision, life and long-term disability insurance for employees and their dependents.
More information about employee benefits is available on the City's website at: https://www.seattle.gov/human-resources/benefits/employees-and-covered-family-members/most-employees-plans
Who May Apply: This position is open to all candidates that meet the minimum qualifications. The City of Seattle values diverse perspectives and life experiences. Applicants will be considered regardless of race, color, creed, national origin, ancestry, sex, marital status, disability, religious or political affiliation, age, sexual orientation, or gender identity. The Department encourages people of all backgrounds to apply, including people of color, immigrants, refugees, women, LGBTQ+ people, people with disabilities, veterans and those with diverse life experiences.
Accommodations for people with disabilities are provided upon request.
The City is a Drug Free Workplace.</div></div></div>
 <div></div><div><div><div>The City of Seattle offers a comprehensive benefits package including vacation, holiday and sick leave as well as medical, dental, vision, life and long-term disability insurance for employees and their dependents.</div></div></div>

Associate Multi-Modal Engineer (Civil Engineering, Associate)

Apple

Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? 
 
Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide! 
 
As part of Apple&rsquo;s AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding and generation. 
 
The Data and Machine Learning Innovation (DMLI) team is looking for Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges. 
 
Description 
 
As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying state of the art research in ML to tackle complex data problems. 
 
The solutions you develop will significantly impact Apple Intelligence, future Apple products and the broader ML development ecosystem. 
 
You will work with a multidisciplinary team to actively participate in Apple Intelligence&rsquo;s data-model co-design and co-develop practice. 
 
Your responsibilities will extend to the design and development of a comprehensive data generation and curation framework for Apple Intelligence foundation models at Apple. 
 
You will also be responsible to build robust model evaluation pipelines, integral to the continuous improvement and assessment of Apple Intelligence foundation models. 
 
Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues. 
 
&quot;,&quot;responsibilities&quot;:&quot;Develop and implement techniques for creating high-quality synthetic datasets across a variety of domains, including vision, text, and audio data. 
 
Innovate and experiment with new approaches for synthetic data generation to improve the diversity, realism, and representativeness of datasets. 
 
Collaborate with multi-functional teams to understand data requirements and ensure that synthetic datasets are optimized for training foundation models. 
 
Crafting and implementing semi-supervised, self-supervised representation learning techniques for growing the power of both limited labeled data and large-scale unlabeled data. 
 
Develop pipelines and tools to automate synthetic data generation for large-scale AI experiments. 
 
Stay updated with the latest research and industry trends in synthetic data generation, foundational model training, and large-scale data engineering. 
 
Preferred Qualifications 
 
3+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data quality. 
 
Strong publication record in relevant conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc). 
 
Strong problem-solving and communication skills. 
 
Experience of multimodal large language model or image/video generation model training is a plus. 
 
Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas. 
 
Minimum Qualifications 
 
Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning. 
 
Deep understanding in multi-modal foundation models. 
 
Staying on top of emerging trends in generative AI and multi-modal LLM. 
 
Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AIML - Sr Machine Learning Engineer, Data and ML Innovation

<div>
 
 Summary
 
 
 
 Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide!
 
 
 As part of Apple's AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding and generation. The Data and Machine Learning Innovation (DMLI) team is looking for Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges.
 
 
 
 Description
 
 
 
 As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying state of the art research in ML to tackle complex data problems. The solutions you develop will significantly impact Apple Intelligence, future Apple products and the broader ML development ecosystem.
 
 
 You will work with a multidisciplinary team to actively participate in Apple Intelligence&rsquo;s data-model co-design and co-develop practice. Your responsibilities will extend to the design and development of a comprehensive data generation and curation framework for Apple Intelligence foundation models at Apple. You will also be responsible to build robust model evaluation pipelines, integral to the continuous improvement and assessment of Apple Intelligence foundation models.
 
 
 Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues.
 
 
 Your work may span a variety of directions, including but not limited to:
 
 
 Develop and implement techniques for creating high-quality synthetic datasets across a variety of domains, including vision, text, and audio data.
 
 
 Innovate and experiment with new approaches for synthetic data generation to improve the diversity, realism, and representativeness of datasets.
 
 
 Collaborate with multi-functional teams to understand data requirements and ensure that synthetic datasets are optimized for training foundation models.
 
 
 Crafting and implementing semi-supervised, self-supervised representation learning techniques for growing the power of both limited labeled data and large-scale unlabeled data.
 
 
 Develop pipelines and tools to automate synthetic data generation for large-scale AI experiments.
 
 
 Stay updated with the latest research and industry trends in synthetic data generation, foundational model training, and large-scale data engineering.
 
 
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning.
 </li>
 <li>
 Deep understanding in multi-modal foundation models.
 </li>
 <li>
 Staying on top of emerging trends in generative AI and multi-modal LLM.
 </li>
 <li>
 Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 3+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data quality.
 </li>
 <li>
 Strong publication record in relevant conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, , etc)
 </li>
 <li>
 Strong problem-solving and communication skills.
 </li>
 <li>
 Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas
 
 
 </li>
 </ul>
 
 Pay &amp; Benefits
 
 
 
 At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
 
 
 Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple&rsquo;s Employee Stock Purchase Plan. You&rsquo;ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses &mdash; including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
 
 
 Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
 
 
 Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
 
 
 Apple accepts applications to this posting on an ongoing basis.
 
 
</div>

AIML - Machine Learning Engineer, Data and ML Innovation

Software Engineer, AI Native

GEICO

<div>At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers&rsquo; expectations while making a real impact for our company through our shared purpose.
When you join our company, we want you to feel valued, supported and proud to work here. That&rsquo;s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers
GEICO is seeking a Senior Staff Machine Learning Engineer to help shape how Generative AI enhances customer and associate experiences across the enterprise. This is a hands-on technical role who will be leading the strategy, architecture, and delivery of ML systems for the Claims organization&mdash;designing predictive models, robust data/feature pipelines, and production-grade MLOps to drive measurable business outcomes. 
You will work alongside engineering teams, data scientists, and product leaders to design, build, and integrate AI-powered capabilities that automate workflows, improve decision-making, and elevate user experience. You will contribute to a culture of learning, curiosity, and innovation while growing your expertise in cutting-edge AI technologies
About the role<ul><li>
Staff+ individual contributor role focused on end-to-end ML: data and feature engineering, modeling, deployment, monitoring, and continuous improvement.</li><li>
Partner with Claims Operations, Product, and Engineering to deliver ML capabilities such as severity/triage predictions, claim outcome forecasting, and automation accelerators.</li><li>
GenAI (e.g., LLMs and agentic workflows) may be leveraged where it augments ML systems; strong ML depth is primary.</li></ul>
What you&rsquo;ll do<ul><li>
Own ML platform architecture: data/feature pipelines, experiment tracking, model registries, serving layers, offline/online evaluation, and observability.</li><li>
Define standards for reliability, performance, cost efficiency, security, governance, and model risk management across ML services.</li><li>
Lead design and implementation of models across classical ML and deep learning (e.g., gradient boosted trees, sequence models, Transformers for tabular/time-series/NLP where relevant).</li><li>
Translate business goals into measurable ML objectives and experiment plans; ensure robust offline metrics and real-world impact.</li><li>
Build scalable training and inference pipelines; establish CI/CD for ML, automated evaluations, canary releases, and rollback strategies.</li><li>
Implement monitoring for data quality, drift, fairness, latency, reliability, and cost; lead incident response and postmortems.</li><li>
Partner with Claims, Product, Data Science, Platform/SRE, Security, and Legal/Compliance to gather requirements, define scope, and prioritize backlogs.</li><li>
Maintain pragmatic technical roadmaps balancing business outcomes, release timelines, and engineering excellence.</li><li>
Own build-vs-buy decisions and tooling/service selection (speed to market, extensibility, TCO); guide platform evolution with clear architectural principles.</li><li>
Lead experienced engineers through complex platform implementations; drive system-wide architectural improvements and reliability practices.</li><li>
Mentor engineers and junior tech leads; codify best practices; contribute to internal documentation and promote enterprise-wide ML standards.</li><li>
Where appropriate, collaborate on retrieval-augmented workflows, prompt/context management, and LLM evaluation and safety guardrails to complement ML systems.</li></ul>
Minimum qualifications<ul><li>
Bachelor&rsquo;s degree or above in Computer Science, Engineering, Statistics, or related field.</li><li>
10+ years of professional software development experience using at least two general-purpose languages (e.g., Java, C++, Python, C#).</li><li>
10+ years architecting, designing, and building multi-component ML platforms leveraging open-source/cloud-agnostic components:<ul><li>
Search/vector: ElasticSearch, Qdrant (as applicable to ML features and retrieval)</li><li>
Data warehouse/lakehouse: Snowflake; familiarity with Parquet/Delta/Iceberg</li><li>
Streaming: Kafka; plus Flink/Spark Streaming experience</li><li>
Datastores: PostgreSQL; NoSQL (MongoDB, Cassandra)</li><li>
Distributed compute: Spark, Ray</li><li>
Workflow orchestration: Airflow, Temporal</li></ul></li><li>
6+ years managing end-to-end SDLC for ML systems: version control, CI/CD, Kubernetes, testing (unit/integration/data/ML eval), monitoring/alerting, production support.</li><li>
6+ years working with cloud providers (Azure and/or AWS) in production ML contexts.</li></ul>
Preferred qualifications (GenAI as a plus)<ul><li>
Experience leveraging or fine-tuning LLMs (e.g., GPT, Llama, Mistral, Claude) to augment ML workflows, retrieval, or claims-facing tooling.</li><li>
Hands-on with MLOps tooling: MLflow/Kubeflow, model registries, feature stores (e.g., Feast), experiment tracking, A/B testing and online evaluation frameworks.</li><li>
Observability: Prometheus/Grafana, OpenTelemetry; SLO-driven operations and incident management.</li><li>
Model safety, fairness, explainability (e.g., SHAP/LIME), and regulatory compliance; familiarity with model risk management practices.</li><li>
Insurance/financial services domain experience: claims automation, fraud detection, risk modeling, subrogation, severity/triage, and regulatory stewardship.</li><li>
Experience with high-throughput, low-latency inference and real-time feature pipelines.</li></ul>
#LI-JK1 
Annual Salary
$150,000.00 - $300,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, the work location as well as market and business considerations. 

GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. 
The GEICO Pledge:
Great Company: At GEICO, we help our customers through life&rsquo;s twists and turns. Our mission is to protect people when they need it most and we&rsquo;re constantly evolving to stay ahead of their needs.
We&rsquo;re an iconic brand that thrives on innovation, exceeding our customers&rsquo; expectations and enabling our collective success. From day one, you&rsquo;ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people&rsquo;s lives.
Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career &ndash; and your potential &ndash; in mind. You&rsquo;ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.<ul><li>
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family&rsquo;s overall well-being.</li><li>
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.</li><li>
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.</li><li>
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.</li></ul>
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.</div>

Senior Staff Machine Learning Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Senior Structural Engineer, Data Center Engineering - Electrical Products and Services 
 
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. 
 
The Team 
Amazon Web Services' Electrical Products and Services Engineering team has long driven innovation for the electrical systems that underpin our global data centers. As our product portfolio grows, we are expanding our scope to include the structural products and systems that are integral to our electrical infrastructure, ensuring that the physical frameworks supporting our electrical equipment meet the same standards of reliability, performance, and scalability. We are a collaborative, high-impact group focused on achieving industry-leading reliability through rigorous design standards, continuous improvement, and scalable remediation programs across the AWS fleet. 
 
Your Impact 
Design &amp; Lead: Define and own the structural engineering strategy for next-generation electrical product designs, delivering resilient, cost-effective, and scalable structural solutions that support our global data center footprint. 
 
Own Full-Cycle Programs: Lead structural projects from concept through implementation, including structural analysis, product qualification, and design remediation, while managing scope, schedule, and budget across multiple concurrent programs. 
 
Set the Standard: Develop and drive adoption of structural engineering standards, specifications, and design guidelines that improve quality, consistency, and efficiency across the product portfolio. 
 
Consult and Advise: Serve as the internal structural engineering consultant for the team, providing expert guidance on lifting and rigging plans, product tie-down requirements for transport, and seismic analysis, including test planning, results interpretation, and recommendations for product design changes. 
 
Collaborate Globally: Partner with cross-functional teams spanning technical program management, architecture, civil, mechanical, electrical, supply chain, operations, safety, security, and legal to deliver world-class structural outcomes. 
 
Drive Innovation: Identify structural risks across the product portfolio, evaluate new materials and construction methods, and develop scalable solutions that advance the state of data center structural engineering. 
 
Who You Are 
You hold a Bachelor's degree (or higher) in Structural, Mechanical or Civil Engineering, with 8+ years of professional experience in structural design for commercial, industrial, or mission-critical facilities. You have expertise in seismic design and detailing for structural steel systems, and you are skilled in applying building codes and standards across multiple regions and international jurisdictions. You hold a Professional Civil/Structural Engineering (PE) License and have a track record of leading cross-functional teams and managing external design consultants on large-scale capital programs. You thrive in complex, fast-moving environments, excelling at communicating technical decisions and trade-offs to senior leadership and non-technical stakeholders, and you are committed to mentoring and developing the engineers around you. 
 
Travel 
This role requires up to 25% domestic and international travel to support site walks, field observations, audits, and global project teams, sometimes with short notice. 
 
Key job responsibilities 
<ul><li>Serve as the internal structural engineering lead for the team, providing guidance on lifting and rigging plans, product tie-down for transport, and seismic analysis across the electrical product portfolio.</li><li>Lead seismic analysis programs including test planning, coordination with third-party testing labs, results analysis, and development of recommendations for product design changes.</li><li>Review and approve lifting and rigging plans for electrical products, ensuring compliance with applicable standards and safe handling requirements.</li><li>Define tie-down and restraint requirements for product transport, coordinating with supply chain and logistics teams to ensure structural integrity during shipping and installation.</li><li>Work with internal partner teams to solicit customer input and define structural design requirements for product development.</li><li>Lead new structural product design, development, and qualification of structural systems used in AWS data center electrical infrastructure, including structural supports, equipment enclosures, and cable management systems.</li><li>Work with global suppliers and manufacturers to specify appropriate structural products and components, ensuring tier 2-3 supply chain resiliency.</li><li>Ensure compliance with applicable structural codes and standards including IBC, ASCE 7, AISC, and federal, state, and municipal requirements across different countries through appropriate levels of testing and review.</li><li>Validate design through prototype, pre-production, and first-of-kind builds, conducting DFx and value engineering analysis through each step and updating design and documentation.</li><li>Work with field engineering and commissioning teams to properly test and validate installation, operation, and performance of structural products.</li><li>Provide support for manufacturing activities for new structural products on concurrent projects in multiple geographical locations.</li><li>Be a leader within the product development team as well as within internal and external teams that support the data center.</li><li>Mentor and develop junior and mid-level structural engineers, raising the technical bar across 
</li></ul> 
 
A day in the life 
Your day will be a dynamic blend of technical consulting and hands-on engineering. You'll engage in cross-functional design reviews, seismic analysis sessions, lifting and rigging plan reviews, and strategic planning that shapes the future of AWS data center electrical infrastructure. Expect to move seamlessly between advising on structural requirements for new product designs, interpreting seismic test results, and communicating recommendations to senior leadership. International and domestic travel will bring you directly to the sites and facilities where your decisions come to life. 
 
About the team 
We are a global engineering team dedicated to pushing the boundaries of electrical and structural product design for mission-critical infrastructure. Our team thrives on technical rigor, collaboration, and the shared mission of delivering safe, reliable, and cost-effective systems that power cloud computing worldwide. We value diverse perspectives and empower engineers to drive meaningful advancements across the fleet</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree in Construction Management, Architecture, Structural, Civil, Mechanical or Electrical Engineering</li><li>8+ years leading structural product design, development, qualification, and manufacturing support of structural systems used in commercial, industrial, or mission-critical facilities.</li><li>Experience in seismic design and detailing for structural steel systems.</li><li>Experience with lifting and rigging analysis and product tie-down requirements for transport.</li><li>Demonstrated track record of design documentation creation including drawings, specifications, submittals, and design packages.</li><li>Experience validating design through prototype builds, pre-production builds, and first-of-kind builds, conducting DFx and value engineering analysis through each step and updating design and documentation.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Professional Engineering or Architectural License</li><li>Knowledge of building codes and regulations for your region</li><li>Master's degree in Construction Management, Architecture, Structural, Civil, Mechanical or Electrical Engineering</li><li>Experience in data center design, construction, operations, or facility maintenance</li><li>Knowledge of both mechanical and electrical equipment or design related to data center electrical and mechanical topology</li></ul> 
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;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 &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, TX, Austin - 136,600.00 - 184,800.00 USD annually 
USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually 
USA, WA, Seattle - 136,600.00 - 184,800.00 USD annually</div>

Senior Structural Engineer, Data Center Engineering - Electrical Products and Services

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you passionate about cloud computing with a special focus on networking and distributed systems? Do you have a unique combination of deep technical knowledge, business acumen and strong interpersonal skills? Do you like helping organizational leaders think through how to architect and optimize networks in the AWS Cloud? 
 
Amazon Web Services (AWS) is seeking a networking solutions architect to work with some of our largest Strategic customers. At AWS, customer obsession is in our DNA. The successful candidate will become a trusted advisor to our customers and will work with AWS sales, business development, solutions architecture and product teams to develop the networking expertise needed to deliver results. In this vital role, you will help customers achieve their business goals on AWS by identifying and tackling major networking, performance, and resilience questions from stakeholders in areas such as network virtualization, software-defined networking, hybrid connectivity, and distributed application architecture. You will work directly with customer network engineering, infrastructure, and architecture teams to help them understand how to confidently use AWS at scale. 
 
Key job responsibilities 
<ul><li>Work with AWS Strategic customers to convey cloud networking best practices, including hybrid connectivity, network virtualization, software-defined networking, and networking for hyperscale AI workloads</li><li>Provide subject matter expertise on networking topics including IPv4/IPv6 protocols, layer 2 technologies, MPLS, Ethernet, and distributed application architectures
</li><li>Design and build working proof-of-concept architectures to tackle emerging networking challenges at enterprise scale
</li><li>Develop technical content, such as white papers and reference architectures, that can be used by our customers to assist them in deploying performant and resilient cloud-based network solutions
</li><li>Provide mentorship across AWS sales and solutions architecture teams regarding networking and connectivity to build skills in the field
</li><li>Work with customers to better understand network integration models in the cloud, including multi-cloud and hybrid environments
</li><li>Represent AWS at trade events by delivering presentations and workshops</li></ul> 
About the team 
Diverse Experiences 
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying. 
 
Why AWS? 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;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&rsquo;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 &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;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&rsquo;s nothing we can&rsquo;t achieve in the cloud. 
 
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. 
 
The AWS Industries team is committed to helping industry customers enable their digital transformation journeys. Our primary goal is to meet customers where they are in their cloud journey and work backwards from their industry specific needs to transform their business and their entire industry. Our team speaks the language of our industry customers, which means that we focus on business outcomes and industry use cases on behalf of our customers, whether that is how we build products and solutions, how we sell, how we deliver, or how we partner.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience</li><li>3+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>10+ years of IT development or implementation/consulting in the software or Internet industries experience</li><li>Knowledge of cloud architecture</li><li>2+ years of working with or evaluating AI systems experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS, networks and operating systems</li><li>Experience with large-scale, distributed applications</li><li>Experience in a customer-facing, sales-aligned role such as consultant, solutions engineer or solutions architect</li><li>AWS Certification, eg. AWS Solutions Architect Associate</li><li>Understanding of application, server, and network security is highly desired.</li><li>Previous experience in hands-on operational or engineering role</li><li>Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams.</li></ul> 
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;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 &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 169,000.00 - 228,600.00 USD annually 
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually</div>

Senior Networking Solutions Architect, AWS Strategic Accounts

Explore 321+ Associate multi modal engineer civil engineering associate in Seattle this March. Find roles across top companies and apply now to boost your career.