associate creative director (hybrid - seattle, wa)

electrical engineer

project architect

project engineer

software engineer

building engineer

Second Order Effects

<div>Company Overview:

Second Order Effects started in 2016 as a services firm, taking on other companies' hardest engineering problems from first principles. We grew into a solutions firm that designs and ships complete custom electronics and systems, including power electronics, RF, and control systems. We've completed over 250 projects for more than 100 clients. Our designs control rocket engines, manage satellite communications, instrument fusion reactors, and are enjoyed by consumers around the world.

We approach problems from first principles. We break challenges down to their most fundamental components, which is how we find solutions that hold up across industries, use cases, and engineering functions. We focus on solving the right problems and building the teams to take them on. Because we believe that training and empowering others yields a greater impact than focusing on developing any specific technology, we expect every single member of our team to participate in building up those around them.

In the past year, we've started taking our own concepts and spinning them out into separate companies that we believe will meet the emerging needs of our clients and the industry at large. The work is concentrating in frontier technology, including space, fusion and fission energy, and advanced vehicles. We currently have two spinout companies in stealth that we're working on. 
 
Information about SOE's mission, vision, and values can be found here. 
Examples of the projects SOE has worked on can be found here. 


The Role:

As an Electrical Engineer, you will support the design, architecture, and implementation of high performance electrical systems across a diverse range of projects. You will work alongside a collaborative team of engineers to find and develop the right solutions for the problems at hand and client use case. If you're passionate about tackling mission-critical challenges and working across multiple industries, this is your chance to make a lasting impact and grow in a dynamic environment. 


Key Responsibilities:
<ul>
<li>Drive design efforts for electronic systems, including architecture and implementation details of circuitry and software/firmware</li>
<li>Perform component selection and trade studies of different implementation options to best generate and satisfy design requirements</li>
<li>Capture schematics and design PCB layouts, create component symbols and footprints</li>
<li>Circuit simulation and thermal analysis of designs, including sizing of thermal management systems</li>
<li>Develop firmware in C/C++ for microcontrollers, or digital design in Verilog HDL for FPGAs</li>
<li>Write and execute test plans for device validation and performance characterization</li>
<li>Take ownership of the design, development, testing, and end-to-end technical support for projects</li>
<li>Assess design risks and develop mitigation strategies</li>
<li>Create documentation for hardware, software and systems</li>
<li>Interface with internal teams and external clients to conduct design reviews for hardware/electronic systems and code reviews for software/firmware/HDL</li></ul> 


Minimum Requirements:
<ul>
<li>Able to work 40 hours a week on-site in El Segundo, California, or Redmond, Washington</li>
<li>Eligible to work on ITAR projects</li>
<li>Bachelor's Degree (Electrical Engineering, Computer Science, Physics, Math, or related field) or equivalent experience</li>
<li>3+ years of applied experience with a demonstrated passion for engineering and technology development</li>
<li>Excellent written and verbal technical communication skills; ability to explain technical concepts and their implications to non-technical audiences</li>
<li>Experience in any common ECAD tool, such as Altium Designer, KiCad, Cadence, PADS, EAGLE, etc.</li>
<li>Experience with C/C++ firmware development or Verilog HDL development</li>
<li>Experience in modeling, simulation, and testing of electronics</li>
<li>Familiarity with standard digital communication methods including serial / UART, SPI, and I2C</li>
<li>Expertise with one or more of the following: analog circuits, mixed-signal designs, embedded programming, RF, power electronics, or optical systems development</li></ul> 


Preferred Requirements:
<ul>
<li>Experience in team-based design and build projects (e.g., Formula SAE, Solar Car, CubeSat, Rover Challenge, etc.)</li>
<li>End-to-end electronics design experience: taking designs from requirements generation through schematic, layout, fabrication, and hardware bringup</li>
<li>Experience with analog small-signal circuit design (filters, op-amp circuits, signal conditioning) and/or power electronics designs: regulators, load drivers, supply filters, protection circuitry</li>
<li>Knowledge of PCB fabrication and assembly process, design for manufacture and design for assembly (DFM / DFA), familiarity with IPC and/or JEDEC standards</li>
<li>Experience interfacing with PCB and assembly vendors to have designs fabricated</li>
<li>Large-format or high-density or high-layer-count PCB design experience, preferably for aerospace, automotive, medical, or other high-reliability applications</li>
<li>Expertise with Altium Designer or KiCad</li>
<li>Familiarity with Python and/or MATLAB for data parsing and signal analysis</li>
<li>Familiarity with LTSpice for circuit simulation</li>
<li>Experience with a range of ARM Cortex-M devices (e.g., STM32, NXP S32K, TI TMS570, etc.) and Lattice or Xilinx FPGAs</li>
<li>Excellent understanding of OS fundamentals (e.g., schedulers, memory management, network stacks, file system architectures, etc.) and computer architecture or digital design fundamentals</li>
<li>Experience with continuous integration and testing (CI/CD) or related high-reliability software development strategies</li></ul> 


Compensation &amp; Benefits:
<ul>
<li>Salary range dependent on leveling
<ul><li>Engineer I: $100,000 - $130,000</li>
<li>Engineer II: $125,000 - $170,000</li>
<li>Senior Engineer: $155,00 - $200,000</li>
</ul></li><li>Equity (via ISOs) in Second Order Effects, Inc.</li>
<li>Equity (via PIUs) in our incubated companies (through our holding company, Second Order Holdings, LLC)</li>
<li>100% employer-paid health insurance (Medical, Dental, Vision) for employees + 50% dependent coverage</li>
<li>Flexible paid time off policy + 11 paid holidays + 12 paid sick days</li>
<li>401(k) retirement account and employer matching (Safe Harbor 4%)</li>
<li>Up to 22 weeks of paid parental leave dedicated to new child bonding</li>
<li>Relocation assistance available if 50+ miles away from the office</li>
<li>Electric Vehicle (EV) charging ports at our LAX office</li>
<li>Daily catered lunches, snacks, and accessible kitchen</li></ul> 


ITAR Requirements: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Unfortunately, we are unable to provide sponsorship at this time.

Equal Opportunity: Second Order Effects is proud to be an Equal Opportunity Employer; employment with SOE is governed on the basis of excellence and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.</div>

Electrical Engineer

Whatnot

<div>
 
 
 🚀 Join the Future of Commerce with Whatnot!
 
 
 
 
 Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
 
 
 As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
 
 
 We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
 
 
 
 💻 Role
 
 
 
 Data is crucial to Whatnot&rsquo;s mission to bring people together through commerce.
 
 
 As our newest
 
 Data Engineer
 
 , you&rsquo;ll build and scale the systems that power data-driven decisions across the company. You&rsquo;ll work directly with stakeholders across the business &ndash; such as product, sales, marketing, finance, and trust teams &ndash; to design reliable data architectures, ship resilient pipelines, and create the foundational data products that power Whatnot&rsquo;s internal and external growth.
 
 
 
 On Any Given Day, You Will
 
 
 
 <ul>
 <li>
 Own data architecture end-to-end. Define how we capture, model, and serve critical business data&mdash;then implement it in production. You&rsquo;ll make architectural decisions around storage formats, compute patterns, and SLAs that balance cost, scalability, and consistency.
 </li>
 <li>
 Build mission-critical pipelines. Develop and operate streaming and batch data workflows that process high-volume events across multiple domains&mdash;user activity, transactions, experimentation, marketing performance, and operational telemetry&mdash;with tight guarantees for latency, completeness, and accuracy.
 </li>
 <li>
 Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics, ML, and real-time applications. Establish and enforce modeling standards, ownership boundaries, and data contracts across teams.
 </li>
 <li>
 Enforce data quality at scale. Build tests, lineage, monitoring, and reconciliation systems that make every dataset observable and every anomaly actionable.
 </li>
 <li>
 Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems.
 </li>
 <li>
 Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, low-latency data through semantic layers, APIs, and real-time query systems.
 
 
 </li>
 </ul>
 Due to the cross-functional nature of this role, candidates will be matched to multiple teams based on need and experience, including product, analytics, or data platforms teams.
 
 
 
 👋 You
 
 
 
 People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
 
 
 <ul>
 <li>
 Have 3+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures.
 </li>
 <li>
 Can design and implement data models using dimensional, Data Vault, or ledger-style techniques that support analytical and transactional workloads.
 </li>
 <li>
 Have deep hands-on expertise with modern data tooling across ingestion (e.g., Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).
 </li>
 <li>
 Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.
 </li>
 <li>
 Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows.
 </li>
 <li>
 Enjoy partnering across disciplines&mdash;engineering, product, analytics&mdash;to translate messy business requirements into elegant data systems.
 </li>
 <li>
 Thrive as a self-starter in a fast-moving environment, owning both the technical design and the operational outcomes of your work.
 
 
 </li>
 </ul>
 If designing the data backbone that powers Whatnot&rsquo;s growth, insights, and product innovation excites you, we&rsquo;d love to meet you.
 
 
 
 We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
 
 
 
 
 💰Compensation
 
 
 
 
 For Full-Time (Salary)
 
 
 
 
 US based applicants:
 
 $180,000/year to $260,000/year + benefits + equity.
 
 
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 
 
 
 🎁 Benefits
 
 
 
 <ul>
 <li>
 Generous Holiday and Time off Policy
 </li>
 <li>
 Health Insurance options including Medical, Dental, Vision
 </li>
 <li>
 Work From Home Support
 </li>
 <ul>
 <li>
 Home office setup allowance
 </li>
 <li>
 Monthly allowance for cell phone and internet
 </li>
 </ul>
 <li>
 Care benefits
 </li>
 <ul>
 <li>
 Monthly allowance for wellness
 </li>
 <li>
 Annual allowance towards Childcare
 </li>
 <li>
 Lifetime benefit for family planning, such as adoption or fertility expenses
 </li>
 </ul>
 <li>
 Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
 </li>
 <li>
 Monthly allowance to dogfood the app
 </li>
 <ul>
 <li>
 All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
 </li>
 </ul>
 <li>
 Parental Leave
 </li>
 <ul>
 <li>
 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
 </li>
 </ul>
 </ul>
 
 
 💛 EOE
 
 
 
 
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 
 
 Compensation Range: $180K - $260K
 
 
</div>

Data Engineer

Onni Group

<div>Job Description:
The Assistant Project Manager &ndash; Interior Design supports the planning, design coordination, execution, and closeout of high-rise residential projects, with a primary focus on interior design implementation. This role ensures design intent is executed accurately and aligned with budget, schedule, and company standards.
Perks and Benefits: 
When you feel good, you do good. At Onni we put your health at the forefront and give you the choice to select a benefits package that best represents you. From no cost to $18, $44, or $112 per pay our PPO, HSA, and HMO have you covered. In addition, we offer:<ul><li>
3 weeks PTO</li><li>
401(k) employer match</li><li>
Annual education allowance of up to $1,000</li><li>
Referral program</li><li>
Free Onsite Parking or Commuting Support</li><li>
Residential housing discount after 1 year of continuous employment</li><li>
Friends and family rates for our Hotel Properties throughout the company</li></ul>
What Will You Do?<ul><li>
Assist in initiation, planning, execution, and closeout of high-rise residential projects.</li><li>
Coordinate designers, consultants, engineers, subcontractors, and vendors.</li><li>
Develop and maintain interior project schedules and monitor critical path items.</li><li>
Assist with budgeting, cost estimating, and value engineering for interior scopes.</li><li>
Manage RFIs, submittals, change orders, and subcontractor invoices.</li><li>
Lead finish palettes, material selections, and FF&amp;E specifications.</li><li>
Review reflected ceiling plans, lighting plans, elevations, and interior details.</li><li>
Oversee FF&amp;E procurement and installation.</li><li>
Conduct field verifications and maintain punch lists.</li><li>
Ensure compliance with ADA and building codes.</li><li>
Support quality control and resolve field design issues.</li><li>
Participate in post-project reviews.</li></ul>
Interior Design &amp; Technical Oversight<ul><li>
Lead and coordinate finish palettes, materials selections, and FFE&amp;F specification for residential units amenities, and common areas</li><li>
Review and manager construction drawings including reflected ceilings plans, lighting plans, electrical plans, and interior elevations.</li><li>
Ensure interior design documentation aligns with architectural drawings and construction requirements.</li><li>
Oversee procurement, bidding, and installation of FF&amp;E packages</li><li>
Review shop drawings and submittals for compliance with design intent</li><li>
Conduct field verifications to ensure finishes and installations meet design specifications</li><li>
Ensure compliance with building codes, ADA requirements, and applicable regulations</li><li>
Stay current with residential market trends, materials, and high-rise design standards</li></ul>
Pre-Construction &amp; Budget Management<ul><li>
Assist with quantity take-offs and bid packages for interior scopes</li><li>
Perform cost analysis of material selections and recommend value-engineering solutions</li><li>
Maintain project cost databases and track interior budget performance</li><li>
Prequalify vendors and subcontractors for finish trades</li><li>
Draft and administer subcontracts related to interior scopes</li></ul>
Field Engineering &amp; Quality Control<ul><li>
Support overall quality control for interior finishes and detailing</li><li>
Conduct site walks to verify installations align with drawings and specifications</li></ul>
What You Bring<ul><li>
Minimum 3 years of Project Engineer experience</li><li>
Experience in ground up high rise construction.</li><li>
Associate&rsquo;s degree or higher in Interior Design, Interior Architecture, Construction Management, or related field preferred</li><li>
Strong knowledge of construction methods, detailing, and building codes</li><li>
Proficiency in MS Project, MS Outlook, MS Word, MS Excel, and MS Windows</li><li>
Ability to guide, direct, and coordinate a department with five or more employees</li><li>
Demonstrated ability to effectively run a department in an efficient manner</li><li>
Ability to read, analyze, and interpret prints, architectural drawings, financial and job cost reports</li><li>
Excellent knowledge of the industry and trends impacting the business</li><li>
Excellent customer service orientation and excellent interpersonal skills</li><li>
Excellent oral and written communication skills</li></ul><ul><li>
Develop and maintain punch lists for residential units and amenity spaces</li><li>
Assist in preparing project-specific safety plans and conducting site safety reviews</li><li>
Troubleshoot field conditions and coordinate design solutions with consultants</li></ul> 
Salary Range:
$120,000-$140,000 
About The Company:
Onni
For over half a century, Onni has been building communities for people to live, work, and play. Our success reflects our commitment to our employees and partners, and our dedication to quality construction, innovation, sustainability, and customer satisfaction. Our expertise expands across North America, with offices in Vancouver, Toronto, Los Angeles, Seattle, Phoenix, and Chicago. 
AI Use:
This role may involve the use of artificial intelligence (AI) tools to support research, analysis, content development, design, reporting, or operational efficiency. Employees are expected to use AI responsibly and in compliance with company policies, data privacy requirements, confidentiality obligations, and applicable laws. 
All AI-generated or AI-assisted outputs must be reviewed for accuracy, quality, and appropriateness before use. Employees are also expected to disclose when AI tools have been used in the creation of work and must not present AI-generated content as solely their own original work. 
How To Apply:
Please apply through the link on the job posting and attach your resume and any other required documents.
We thank all applicants for your interest in the Onni Group. Note that only those applicants under consideration will be contacted.</div>

Assistant Construction Project Manager - Interiors

Apple

The Apple Services Engineering team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. This team powers the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books, operating at massive scale and meeting Apple&rsquo;s high standards for performance and quality to deliver entertainment in over 35 languages across more than 150 countries. 
 
We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings a deep passion for building large-scale distributed data processing systems, frameworks, and platforms using big data technologies. 
 
Description 
 
As a team member of the ASE Analytics &amp; Data Engineering team, you will have significant responsibility and influence in shaping the team&rsquo;s future direction. This role is inherently cross-functional, and the ideal candidate will work closely across disciplines. We are looking for someone with a strong love for data and the ability to iterate quickly across all stages of the data pipeline lifecycle. 
 
This position involves working on a small, highly collaborative team to develop large-scale data pipelines and analytical solutions using big data technologies. Successful candidates will demonstrate strong engineering and communication skills, along with a belief that data-driven processes lead to exceptional products. You should have a passion for quality and an ability to understand and evolve sophisticated systems. 
 
&quot;,&quot;responsibilities&quot;:&quot;You will have the opportunity to: 
 
Work with a cross-functional team, collaborating with partners across product, engineering, operations, and business, and closely partner with stakeholders to translate requirements into scalable engineering solutions 
 
Help drive architectural vision to support future growth and opportunities 
 
Design, build, and maintain data pipelines and datasets that power key product features and insights, while protecting user privacy 
 
Own data quality, scalability, and SLAs for assigned datasets and pipelines 
 
Champion technical excellence and cultivate team spirit by contributing to best practices, documentation, shared tools, and solutions to common problems 
 
Preferred Qualifications 
 
Excellent collaboration and communication skills, with the ability to listen, influence, and drive solutions cohesively 
 
Minimum Qualifications 
 
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, a related quantitative field, or equivalent practical experience 
 
6+ years of experience building production systems using Java and/or Scala, with strong proficiency in Java and/or Scala for large-scale distributed data processing and familiarity with functional programming paradigms. 
 
Deep understanding of distributed batch and streaming data processing systems such as Spark, Flink, and Kafka 
 
Experience with big data ecosystem technologies such as HDFS, Hadoop, S3, MPP database, Kubernetes and Airflow. 
 
Proven track record of designing, launching, and scaling production-quality data pipelines that power product features 
 
Strong data intuition, backed by solid SQL and data analysis skills 
 
Experience with GDPR compliance and best practices for collecting, processing, and sharing data responsibly 
 
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 $175,000 and $308,500, 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.

Software Engineer, Big Data - Apple Services Engineering

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you passionate about building business insights that drive decision-making at the highest levels? Do you want to be part of a fast-paced, ambiguous environment and contribute to Amazon's Brand Protection charter? 
 
As a Sr. Business Intelligence Engineer, from Day 1, you will be challenged with solving complex and ambiguous data problems - from designing scalable data models and metric frameworks, to building executive-ready dashboards, owning pipeline architecture and driving the technical strategy for the data team. 
 
What are we looking for? 
<ul><li>You have a track record of end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment.</li><li>You are passionate about finding root causes, trends, and patterns and how they impact business. You use data to support your ideas and drive actionable outcomes, and draw inferences and conclusions based on data.</li><li>You should be able to work on complex initiatives, deal with ambiguity, and work with senior leaders.</li><li>You have extensive experience working with extremely large data sets and are comfortable with various tools and technologies to consume, extract, and transform data.</li><li>You have business communication skills to be able to work with product and program owners to understand key business questions, and are able to build solutions (analysis / reports / dashboards) that enable them to answer those questions quickly and accurately.</li><li>You are comfortable juggling competing priorities and handling ambiguity. You thrive in an agile and fast-paced environment on highly visible projects and initiatives.</li></ul>
- You have experience mentoring engineers and raising the technical bar for a team - through code reviews, architectural guidance, and leading by example. 
 
Key job responsibilities 
<ul><li>Be highly data driven, resourceful, and team oriented.</li><li>Translate analytic insights into actionable recommendations for business and clearly communicate strategic findings by translating complex technical concepts into business terms and vice versa.</li><li>Develop dashboards that provide insights into the health of the business, create analytics solutions to drive deep dives and uncover hidden risks/trends and recommend optimizations for future state.</li><li>Interact with internal program, product, engineering, data and science owners to gather requirements, structure scalable and performant data solutions and gain a deep understanding of key datasets.</li><li>Own the design, creation, and management of extremely large datasets and tune query performance against large and complex data sets.</li><li>Design, implement, and drive adoption of new analytic technologies and solutions and promote industry standard best practices.</li></ul>
- Serve as the technical lead for the Brand Protection data team - owning architectural decisions, mentoring engineers and analysts on best practices, query optimization, and data modeling. 
 
About the team 
 
The Brand Protection team is part of Amazon's WW Customer &amp; Partner Trust organization. Our vision is to use data provided by Brands in the Brand Registry to prevent Brands eligible for protections worldwide from ever seeing a listing on Amazon that has invalid data (e.g., misuse of trademarks, copyright) associated with their Brand. We strive to make Amazon the best way for Selling Partners to operate their businesses by protecting their intellectual property while reaching customers locally and globally.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>10+ years of professional or military experience</li><li>5+ years of SQL experience</li><li>Experience programming to extract, transform and clean large (multi-TB) data sets</li><li>Experience with theory and practice of design of experiments and statistical analysis of results</li><li>Experience with AWS technologies</li><li>Experience in scripting for automation (e.g. Python) and advanced SQL skills.</li><li>Experience with theory and practice of information retrieval, data science, machine learning and data mining</li><li>Knowledge of data warehousing and data modeling</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience working directly with business stakeholders to translate between data and business needs</li><li>Experience managing, analyzing and communicating results to senior leadership</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</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, WA, Seattle - 130,400.00 - 176,300.00 USD annually</div>

Business Intelligence Engineer III, Intellectual Property Protection

Lightning AI

<div><div><h2 class="jobSectionHeader">Who We Are</h2>

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems&mdash;designed to take ideas from research to production with less friction.

Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.

We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
<h2 class="jobSectionHeader">
The Way We Work</h2>

The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:
<ul>
<li>Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.</li>
<li>Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.</li>
<li>Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.</li>
<li>Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.</li>
<li>Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.</li>
<li>Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.</li>
</ul>
</div><div></div><h2 class="jobSectionHeader">What We're Looking For</h2>

Lightning AI is looking to hire an AI Platform Support Engineer to join our US Customer Experience team, supporting ML engineers running large-scale training and inference workloads across cloud infrastructure, Kubernetes, and GPU platforms in production environments.

This role sits at the intersection of ML systems, cloud infrastructure, Kubernetes, and customers. You'll support engineers training models, deploying inference systems, and scaling GPU workloads in production.You are not a ticket router or traditional support engineer. You are a technical partner to ML teams - helping diagnose failures, improve reliability, and guide customers through complex distributed systems problems.

The problems range from Kubernetes scheduling and GPU orchestration to distributed PyTorch failures, inference latency, networking bottlenecks, storage performance, and platform reliability. You'll gain exposure to a wide variety of real world AI workloads across industries and help shape the infrastructure powering the next generation of ML applications.

This role is hybrid out of our Seattle, San Francisco, or New York office hubs, with an in-office requirement of at least 2 days per week and occasional team and company offsites. The role follows a Monday&ndash;Friday schedule, with working hours from 8:00 AM to 5:00 PM PST. We are not able to provide visa sponsorship for this role at this time.<h2 class="jobSectionHeader"> 

What You'll Do</h2>

Work Directly With ML Engineers
<ul>
<li>Partner directly with customer engineering teams running training and inference workloads in production</li>
<li>Help customers diagnose and resolve complex distributed systems and ML infrastructure issues</li>
<li>Act as a technical advisor during high impact incidents and platform degradation events</li>
<li>Translate infrastructure level issues into actionable guidance for ML engineers</li>
<li>Build credibility with customers through strong technical reasoning and clear communication</li>
</ul>
Debug ML Infrastructure &amp; Distributed Workloads
<ul>
<li>Investigate failures involving distributed training, Kubernetes orchestration, GPU allocation, networking, and storage systems</li>
<li>Troubleshoot PyTorch, CUDA, NCCL, and inference serving related issues</li>
<li>Analyze logs, metrics, traces, and system behavior to isolate root causes</li>
<li>Debug containerized workloads running across Kubernetes and bare metal GPU environments</li>
<li>Support customers scaling workloads across multi node GPU systems</li>
<li>Diagnose performance bottlenecks involving compute, memory, networking, or storage</li>
</ul>
Improve Reliability &amp; Platform Operations
<ul>
<li>Identify recurring patterns across customer issues and drive long term reliability improvements</li>
<li>Contribute to post incident reviews and operational improvements</li>
<li>Build internal tooling, automation, documentation, and runbooks</li>
<li>Partner closely with infrastructure, networking, and platform engineering teams</li>
<li>Help improve observability, operational visibility, and troubleshooting workflows</li>
<li>Improve the customer experience through better processes and technical guidance</li>
</ul>
What This Role Is Not

To set clear expectations:
<ul>
<li>This is not a traditional help desk or ticket routing support role</li>
<li>This is not purely customer success or account management</li>
<li>This is not a backend engineering role</li>
<li>This is not a passive escalation position</li>
</ul>
This role is for engineers who enjoy solving difficult technical problems while working closely with other engineers. 

<h2 class="jobSectionHeader">
What You'll Need</h2>
<h3 class="jobSectionHeader">Required Qualifications</h3>
<h4 class="jobSectionHeader">Infrastructure &amp; Systems</h4>
<ul><li>Strong software engineering and systems troubleshooting background</li>
<li>Experience with Kubernetes and containerized environments</li>
<li>Linux systems knowledge, including networking, storage, process management, and performance tuning</li>
<li>Experience with cloud infrastructure and distributed systems</li>
<li>Experience with observability and debugging tools such as Prometheus, Grafana, or OpenTelemetry</li>
</ul><h4 class="jobSectionHeader">ML Infrastructure Experience</h4>
<ul><li>Hands on experience operating machine learning workloads in production or research environments</li>
<li>Experience with distributed ML systems and tooling such as PyTorch, CUDA, or NCCL</li>
<li>Familiarity with GPU infrastructure and orchestration</li>
<li>Experience troubleshooting performance, reliability, or scaling issues in ML infrastructure</li>
<li>Understanding of the operational challenges involved in running ML systems at scale</li>
</ul><h4 class="jobSectionHeader">Collaboration</h4>
<ul><li>Strong communication skills and ability to work directly with highly technical customers and engineering teams</li>
<li>Comfortable operating in fast moving, highly ambiguous environments</li>
<li>Enjoys solving complex technical problems collaboratively</li>
</ul><h3 class="jobSectionHeader">Ideal Experience</h3>
<ul><li>Experience with large scale model training or distributed inference systems</li>
<li>Familiarity with Ray, Kubeflow, Slurm, or similar distributed scheduling platforms</li>
<li>Experience with InfiniBand, RDMA, or high-performance networking</li>
<li>Experience operating bare metal infrastructure</li>
<li>Familiarity with storage systems commonly used in ML environments</li>
<li>Experience working at an AI infrastructure, cloud, MLOps, or developer tooling company</li>
<li>Contributions to platform engineering, developer infrastructure, or operational tooling projects</li>
<li>Experience writing automation, tooling, or scripts in Python or similar languages</li>
</ul><div><h2 class="jobSectionHeader">Benefits and Perks</h2>

We offer a comprehensive and competitive benefits package designed to support our employees' health, well-being, and long-term success:
<ul>
<li>Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.</li>
<li>Meaningful Equity: RSUs that give employees a stake in the company's long-term success.</li>
<li>Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).</li>
<li>Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.</li>
<li>Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.</li>
<li>Paid Parental &amp; Family Leave: Paid leave to support you and your family through life's important moments.</li>
<li>Professional Development: Annual learning and development allowance to support your professional growth.</li>
<li>Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.</li>
<li>Sabbatical Program: Four weeks of paid sabbatical leave after four years of service.</li>
<li>Flexible Work: Flexible schedules and a hybrid work model for our office-based teams.</li>
<li>In-Office Meals: Complimentary meals at our office hubs.</li>
</ul>
Benefits may vary by location, team, and role. 


At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.</div></div>

AI Platform Support Engineer (US)

Google

<div>In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:<div><ul><li>
Health, dental, vision, life, disability insurance</li><li>
Retirement Benefits: 401(k) with company match</li><li>
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
</li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>
Baby Bonding Leave: 18 weeks</li><li>
Holidays: 13 paid days per year</li></ul></div><h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.</li>
<li>2 years of experience developing test automation in C++, Java or Python.</li>
<li>2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.</li>
<li>2 years of experience with data structures and algorithms.</li>
<li>Experience in developing cloud-based storage systems.</li>
<li>Experience tuning performance and scale in large-scale distributed systems.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
As a Software Engineer within Google Cloud Storage (GCS) Resource Engineering, you will make significant, independent technical contributions to our capacity planning, resource allocation, and efficiency platforms. You will design, code, and deploy features for GCS capacity pipelines, delivering end-to-end tasks to ensure Google&rsquo;s storage infrastructure never blocks AI workloads or scaling demands. You will own medium-to-large features from design to launch, directly supporting high-visibility initiatives that guarantee predictability, zonal isolation, and separation for customers. You will collaborate with senior engineers and partner teams to build advanced capacity solvers, automated guardrails, and resource fungibility models. You will align with GCS, Site Reliability Engineering (SRE), product partners to define technical requirements, leveraging Google&rsquo;s AI/ML tools to maximize engineering velocity and sustain operational excellence.Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits 
 
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Design, code, test, and deploy new features and enhancements for the GCS Resource engineering capacity planning pipelines, actively leveraging Google's AI tools and platforms to enhance productivity and innovation throughout the development life-cycle.</li>
<li>Own medium-to-large-scale features from technical design through to launch and operation.</li>
<li>Collaborate with fellow engineers, product managers, and partner teams to define project requirements and deliver on the product roadmap.</li>
<li>Contribute to the monitoring, alerting, and overall production health of the system.</li>
<li>Develop and maintain fluency with the latest internal AI tools and best practices for software engineering, proactively identify opportunities to apply AI to improve efficiency.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer III, GCS Resource Engineering

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