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Job Description The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy—all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA's venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital, Carbon Robotics is driving innovation. As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it's designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers. Working here means tackling big problems with big impact. You'll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions. Join us as we innovate, execute, and build the future of farming together. YouTube | X | Instagram | LinkedIn | News As a Manager, Software Engineering - Robotic Systems at Carbon Robotics, you will work alongside your software, mechanical and electrical peers to build AI and robotics products. In particular, you will be involved in the process of guiding a team to develop robotic systems software across our LaserWeeder and Autotractor products. You'll do whatever it takes - which might include going to the farm - to ensure our customers have reliable and safe products. What you'll do: • Manage and lead a team of engineers to build a variety of robotic systems and algorithms., • Collaborate with other engineering teams and product managers across multiple disciplines., • Resolve conflicts within the team and across collaboration interfaces, • Oversee the software development lifecycle, including planning, design, implementation, testing, and deployment., • Manage resources and priorities so projects are successfully delivered on time., • Mentor, grow and provide technical guidance to engineers on the team., • Communicate deliverables effectively to the broader organization., • Experience managing and leading a software engineering team that has developed, deployed and maintained robots in a production environment., • Capable of operating as a Lead Software Engineer in your respective expertise., • Solid understanding of low level systems, robotic algorithms as well as robotic interactions with cloud systems., • Excellent verbal and written communication skills and a desire to work in multidisciplinary organizations., • Lead by supporting an in office culture where collaboration drives innovation., • Field visits to Farms are a must. Carbon Robotics follows equitable hiring practices. Flexibility in our hiring process allows hiring of talent at levels different from what are posted. The compensation range outlined is based on a target budgeted base salary. Individual base pay depends on various factors such as relevant experience and skill, Interview assessments and responsibility of role, job duties/requirements. Offers are determined using our equitable hiring practices. Carbon Robotics offers additional compensation in the form of benefits premiums, pre-IPO stock options and On Target Earning commissions for appropriate positions. Base pay ranges are reviewed each year. We are committed to the principle of pay equity – paying employees equitably for similar work. Offers are dependent on someone experience and may be outside of the published range when appropriate. If your skills are above the posted range... Apply! We want to hear from you! Carbon Robotics' base salary pay range:$195,000—$217,500 USD Why would you join Carbon Robotics? Passion for building teams capable of solving uniquely interesting problems. Innovation while disrupting the market is what we do. Profiled in WSJ and Forbes, Carbon Robotics is poised to become the next billion dollar company in the rapidly growing worldwide Ag-Tech industry. We offer competitive compensation and benefits to our full time US based* employees, including: • Competitive salaries, • Pre-IPO Stock Options, • Generous Benefits:, • Fully-paid medical, dental, and vision insurance premiums for you and all dependents, • Choice of PPO or HDHP/HSA, • Virtual Care - Doctor on Demand, • Employee Assistance Program, • Mental Health HRA, • Restricted Healthcare Travel support, • Menopause Support, • Life Insurance, • Long Term Disability, • Flexible PTO, • 401(k) plan, • Pet Insurance, • Commuter Benefits Carbon Robotics is building a culture of diversity and inclusion for all. We welcome everyone's voice and believe in open and transparent communication. We believe the best products, services, and companies are built by strong teams that include a diversity of backgrounds, perspectives, ideas, and experiences. We are committed to supporting and enabling growth and opportunity for every employee at every level. This is the foundation to which we will build a truly unique environment. We are equally committed to equal employment opportunity, and it is foundational to how we recruit and hire our talented team. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including potential pregnancy, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability , HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law. #talentacquisition #laserweeding #laserweeder #weedcontrol #agtech #agtechnology #farmtech #robotics #lasers #lasersandrobots #missiondriven #AI #startup #wearehiring #computervision #machinelearning #carbonrobotics

Job DescriptionAre you ready to revolutionize the advertising industry? At Cognitiv, we are not just another AdTech company—we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale. With our innovative platform, advertisers enjoy unprecedented flexibility—whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry.Now, we're growing!The role We're seeking a Machine Learning Engineer to help build and scale the next generation of Cognitiv's ML infrastructure. As we transition from a legacy platform to a more modern, automated, and highly scalable system, you'll play a pivotal role in designing and implementing the tools, pipelines, and practices that power our deep learning and real-time advertising platform. You'll own the end-to-end ML lifecycle — from ingesting client data to developing, deploying, and monitoring models in production — while working closely with senior engineers, data scientists, and product stakeholders. This is a great opportunity for an engineer who's eager to strengthen their skills in ML systems, MLOps automation, and distributed data workflows, and grow into a critical contributor on the team. Location: Hybrid - MTW out of our Bellevue, WA office. What You'll Do • Design, automate, and optimize ML workflows including data ingestion, model training, deployment, and performance monitoring., • Build and maintain scalable, cloud-native pipelines that support large-scale experimentation and high-volume model training and scoring., • Own core components of our MLOps stack and drive improvements around reliability, scalability, and ease of use., • Partner with cross-functional teams (Product, Engineering, ML Research) to align automation efforts with business needs., • Write production-grade Python code, participate in code reviews, and ensure high-quality engineering standards., • Enhance our observability, logging, and alerting infrastructure to improve operational resilience and reduce time-to-detection., • Propose and experiment with new tools or workflows to help modernize our ML lifecycle and platform delivery.Tech Stack, • Languages/Frameworks: Python, PyTorch, PyTorch Lightning, • Cloud/Infra: AWS, Docker, Apache Airflow, • Data: ClickHouse, S3, Spark, distributed data systems, • Models: Deep Learning, LLMs, Hugging Face ecosystemWho You Are, • Strong coder: You write clean, maintainable, and scalable code in Python., • Hands-on builder: You have experience with ML pipelines, MLOps tools, or automation frameworks and thrive on improving workflows., • Deep learning practitioner: You've trained models with PyTorch (bonus if PyTorch Lightning) and are curious about deploying large language models (LLMs)., • Cloud-native thinker: You're familiar with AWS services, containerization, and orchestration tools like Docker and Airflow., • Collaborative engineer: You enjoy problem-solving with cross-functional partners and communicate clearly across teams., • Growth-driven: You're eager to take ownership, deepen your technical expertise, and deliver high-impact work., • In-office teammate: You're available to collaborate in-person MTW in Bellevue WA or San Mateo CA.Bonus Points If You Have, • Experience in AdTech or real-time bidding systems, • Exposure to ClickHouse, PySpark, or distributed data processing systems, • Understanding of low-latency model serving architectures, • Advanced degree in Computer Science, Engineering, or related fieldSalary, • $160,000-$220,000 Base Salary + EquityWhat We OfferCompensation is based on experience, skills, and other factors. Base salary is just one part of your total rewards at Cognitiv—you'll also receive equity and a comprehensive benefits package.Highlights include:, • Medical, dental & vision coverage (some plans 100% employer-paid), • 12 weeks paid parental leave, • Unlimited PTO + Work-From-Anywhere August, • Career development with clear advancement paths, • Equity for all employees, • Hybrid work model & daily team lunch, • Health & wellness stipend + cell phone reimbursement, • 401(k) with employer match, • Parking (CA & WA offices) & pre-tax commuter benefits, • Employee Assistance Program, • Comprehensive onboarding (Cognitiv University), • …and more!What You'll Find at Cognitiv, • Festiv – We make work fun with cross-team games, events, and creative team bonding., • Responsiv – You'll be close to clients and leadership, influencing real outcomes., • Inclusiv – Diversity and individuality are celebrated across all levels., • Inventiv – We reward curiosity and embrace bold ideas., • Transformativ – We support your growth with training, mentorship, and flexibility., • Collaborativ – We operate across coasts, connected by purpose and teamwork.Cognitiv is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all.

Job DescriptionWe are seeking a hands-on and detail-oriented eCommerce QA Engineer with deep experience across the Order-to-Cash (O2C) lifecycle. This role demands more than textbook testing — we need professionals who can think like end-users, understand real-world business flows, and validate every step of the customer journey, from catalog and cart to checkout, payments, invoicing, and revenue recognition. You will be responsible for ensuring the integrity, accuracy, and quality of complex transactional processes that power large-scale eCommerce platforms.Key Responsibilities • Design and execute end-to-end test strategies spanning the full Order-to-Cash flow:, • Product catalog, search, and pricing validation, • Shopping cart and checkout functionality, • Order placement, payment, and fulfillment, • Invoicing, taxation, refunds, and financial reconciliation, • Perform hands-on functional, integration, regression, and E2E testing across web, mobile, and backend systems., • Validate order orchestration, payment gateways, ERP/Billing integrations, and downstream O2C components., • Analyze complex business rules and design test cases that mirror real-world eCommerce and financial transactions., • Collaborate closely with Product, Engineering, Finance, and UAT teams to ensure accuracy across all stages of the customer and revenue lifecycle., • Identify and troubleshoot defects, documenting clear reproduction steps and root causes., • Apply innovative and practical test approaches, focusing on business impact and customer experience beyond standard QA checklists., • Support automation efforts and continuous testing initiatives across O2C modules.Required Skills & Experience, • 5+ years of experience in QA/testing with end-to-end eCommerce and Order-to-Cash process coverage., • Strong functional knowledge across:, • Catalog and pricing management, • Cart and checkout flows, • Payment processing and transaction validation, • Order management, fulfillment, and invoicing, • Credit, refunds, and financial postings, • Experience testing integrations with payment gateways, billing systems, and ERP platforms (e.g., Oracle BRM, SAP, NetSuite)., • Ability to analyze business workflows and validate data across multiple systems (front-end, API, and backend)., • Strong understanding of data validation, API testing, and transaction flow verification., • Familiarity with JIRA, TestRail, SQL, Postman, and automation frameworks (Selenium, Cypress, or similar)., • Excellent communication skills — able to explain test design and rationale clearly beyond standard QA procedures.Preferred Qualifications, • Experience in enterprise-scale eCommerce or subscription-based platforms (e.g., Amazon, Walmart, Flipkart)., • Exposure to financial testing and O2C reconciliation across systems., • Prior experience validating taxation, invoicing, discounts, and revenue recognition logic., • Understanding of Agile and CI/CD pipelines with hands-on collaboration in sprint testing cycles.Why Join Us, • Be part of a team ensuring the end-to-end integrity of the eCommerce and financial ecosystem., • Work on mission-critical Order-to-Cash processes that directly impact business revenue., • Collaborate with world-class engineers and business teams on global-scale projects., • Grow in a culture that values ownership, innovation, and deep domain expertise. Powered by JazzHR isXlCIBBI9

Job DescriptionAre you ready to revolutionize the advertising industry? At Cognitiv, we are not just another AdTech company—we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale. With our innovative platform, advertisers enjoy unprecedented flexibility—whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry.Now, we're growing!The role We're seeking a Machine Learning Engineer to help build and scale the next generation of Cognitiv's ML infrastructure. As we transition from a legacy platform to a modern, automated, and highly scalable system, you'll play a key role in developing the tools and pipelines that power our Deep Learning Advertising Platform. You'll work across the full ML lifecycle — from data ingestion and model training to deployment and monitoring — helping to improve automation, reliability, and performance. This is a great opportunity for an engineer who's comfortable writing production-quality code and eager to grow their experience in large-scale ML systems, MLOps, and distributed data workflows. What You'll Do • Contribute to the design, development, and automation of ML workflows across data ingestion, training, deployment, and monitoring., • Build and maintain scalable data pipelines that support high-volume model training and evaluation., • Partner with senior engineers to optimize system performance and reduce operational bottlenecks., • Collaborate closely with Product, Engineering, and ML Research teams to deliver reliable, high-impact systems., • Write clean, production-level Python code and participate in code reviews to maintain quality and consistency., • Languages/Frameworks: Python (primary), PyTorch Lightning, • Cloud/Infra: AWS, Docker, Apache Airflow, • Data: ClickHouse, S3, distributed data processing tools, • Strong Coder. You write clean, efficient, and scalable code in Python, with an advanced degree (or equivalent experience) in Computer Science, Engineering, or a related field., • ML Systems Builder. You've designed or maintained ML pipelines, automation, or MLOps systems, and have a solid grasp of model training, deployment, and monitoring in production., • Distributed Data Expert. You're experienced with distributed data processing (e.g., PySpark) and understand how to scale workflows efficiently., • Deep Learning Practitioner. You've worked hands-on with PyTorch (bonus for PyTorch Lightning) and bring curiosity about LLMs and the Hugging Face ecosystem., • Collaborative Engineer. You communicate clearly, thrive in cross-functional environments, and take pride in building reliable, well-architected systems., • Exposure to LLMs or the Hugging Face ecosystem, • Familiarity with AWS, Docker, and Airflow, • Experience managing data at scale (e.g., S3, ClickHouse, or similar), • Knowledge of low-latency model serving, • Experience in AdTech or other real-time, high-performance systemsSalary, • $130,000-$180,000 Base Salary + EquityWhat We OfferCompensation is based on experience, skills, and other factors. Base salary is just one part of your total rewards at Cognitiv—you'll also receive equity and a comprehensive benefits package.Highlights include:, • Medical, dental & vision coverage (some plans 100% employer-paid), • 12 weeks paid parental leave, • Unlimited PTO + Work-From-Anywhere August, • Career development with clear advancement paths, • Equity for all employees, • Hybrid work model & daily team lunch, • Health & wellness stipend + cell phone reimbursement, • 401(k) with employer match, • Parking (CA & WA offices) & pre-tax commuter benefits, • Employee Assistance Program, • Comprehensive onboarding (Cognitiv University), • …and more!What You'll Find at Cognitiv, • Festiv – We make work fun with cross-team games, events, and creative team bonding., • Responsiv – You'll be close to clients and leadership, influencing real outcomes., • Inclusiv – Diversity and individuality are celebrated across all levels., • Inventiv – We reward curiosity and embrace bold ideas., • Transformativ – We support your growth with training, mentorship, and flexibility., • Collaborativ – We operate across coasts, connected by purpose and teamwork.Cognitiv is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all.

Job Description Role We’re looking for a Senior Full Stack Software Engineer to join our fast-growing team at ProRata, where we’re striving to create a fairer digital ecosystem. You’ll play a key role in the development of both the frontend and backend systems that power the Gist Console, a core platform in our partner experience. You’ll collaborate across engineering, product, and design to build scalable, high-quality features with a focus on performance, usability, and impact. If you thrive on solving challenging problems and are excited about creating a fairer digital ecosystem, we’d want to hear from you! This is an in-office role at our location in Bellevue, WA. Responsibilities * Design, build, and maintain scalable and secure web applications using Next.js, TypeScript, SQL, and CSS * Develop and maintain integrations with backend services and APIs * Lead and participate in architectural decisions, code reviews, and technical discussions * Partner with designers to bring UI/UX designs to life with high fidelity and performance * Continuously optimize frontend and backend performance for speed, scalability, and reliability * Own features end-to-end (from concept to deployment and support) * Contribute to improving engineering best practices and team processes Qualifications * 5+ years of professional software engineering experience * Strong proficiency in TypeScript, React, Node.js, Next.js, SQL, and modern CSS * Solid understanding of frontend architecture and state management * Experience with databases like PostgreSQL, MongoDB, or OpenSearch * Familiarity with REST APIs and backend service development * Comfort diagnosing performance bottlenecks and debugging complex issues * Experience collaborating with cross-functional teams in a fast-paced environment * Strong understanding of UX principles, accessibility, and responsive design * Ability to translate designs from tools like Figma into clean, production-ready code * Excellent communication and analytical skills * Passion for ProRata’s mission Preferred Qualifications * Experience with Python and training AI models for LLMs * Familiarity with CI/CD pipelines and developer tooling Work Environment Location: This position is Onsite. This role is based at our Bellevue, WA office location, and employees are expected to work on-site during regular business hours. Compensation The compensation for this position will be competitive and commensurate with experience. The estimated salary range for this role is 160,000 -200,000 USD. What We Offer * Opportunity to work at the forefront of AI technology * Collaborative and innovative work environment * Competitive salary and benefits package * Professional development and growth opportunities * Chance to make a significant impact on the company's success Equal Employment Opportunity * ProRata is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made based on qualifications, merit, and business needs. California Specific Notices * At-Will Employment: Employment at ProrataAI is at-will. This means that either the employee or the employer may terminate employment at any time, with or without cause or prior notice. * Salary Disclosure: In compliance with California law, salary information is provided to ensure transparency and fairness. * California Consumer Privacy Act (CCPA): ProrataAI complies with the CCPA. Personal information collected during the recruitment process will be used for employment purposes only. *This open position is not eligible for Company sponsorship of a visa that would require a new H-1B visa petition that is subject to the $100,000 payment requirement announced in the Presidential Proclamation titled “Restriction on Entry of Certain Nonimmigrant Workers,” dated September 19, 2025 (or any extensions or modifications of the Proclamation). Compensation Range: $160K - $200K

Job DescriptionBuilding data-driven AI applications and agents is too complex, even for advanced developers. At Spice AI, we’re making it simpler by helping developers combine code, data, and AI to build truly intelligent, decision-making systems. Our mission is to make this as easy as creating a modern web page. We created Spice.ai OSS, a portable AI database written in Rust with a unified SQL interface to query, materialize, and accelerate data from any source, co-located with machine learning models. By bringing compute, data, and models together, Spice OSS enables secure AI-Feedback-Loops (AI-Fly-Wheels) for apps and agents to learn and adapt. We just announced the 1.0-stable release of Spice.ai OSS. For a deeper dive into the vision, watch Luke's CMU Databases talk on Spice.ai OSS at and read his Materialized View interview at . We're also building the Spice.ai Cloud Platform, offering managed, cloud-scale Spice.ai OSS along with tools for high-performance SQL, machine learning training, and inference in an interconnected AI backend-as-a-service. At Spice AI, we hire for MEI: Merit, Excellence, and Intelligence. We're looking for exceptional, top-tier engineers - A players - who are driven to solve hard problems and push the boundaries of what's possible for AI.Who we are looking for • You are an exceptional engineer., • You are a problem solver. You start customer problems and figure out how to solve them with technology., • You think differently. You do not accept the status-quo. You challenge the current model of the world and take leaps of faith to build it better for everyone., • You are positive. Instead of focusing on limitations, you ask what’s possible., • You care about meaningful work. Your work is more than a job., • You are comfortable with ambiguity and unknowns, and in these situations, you lead by creating clarity., • You are passionate about high performance and have high standards.What we're looking for, • At least 2 years professional experience with Rust or 3+ years professional experience in C/C++, • Experience in designing, implementing, scaling and shipping production distributed and data systems., • A track record of strong design, architectural, engineering and product decisions., • Excellent communication skills., • Ability to ramp up quickly and hit the ground running., • Ideally experience contributing to open-source projects., • Experience with Apache infra, CNCF-stack, and cloud-native development, and ideally with Rust/Golang.Your responsibilities, • An outstanding contributor in the Spice.ai open-source project., • Creating, designing, and building the distributed and data systems architecture of the Spice.ai Cloud Platform, our cloud systems, and spicerack.org., • Take ownership and drive initiatives for improving the product.Your first 90-days, • Your first month - ramp up and contribute improvements to the Spice.ai project, • 30-60 days - contribute to weekly Spice.ai releases

Job Description Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking highly motivated Mechanical Engineers to act as customer-facing Technical Account Managers (TAMs). These TAMs will be embedded within our most strategic accounts, acting as an extension of their engineering teams. This role is a unique blend of customer engagement, technical expertise, and operational execution. TAMs will report into Operations but will work very closely with Sales to drive growth and ensure customer satisfaction. This is a unique opportunity to join a dynamic and growing company at the forefront of digital manufacturing. If you are a highly motivated Mechanical Engineer with a passion for customer success and a desire to make a real impact this is the role for you. Responsibilities: Customer Integration: • Become a trusted advisor and technical expert for assigned enterprise accounts, • Weekly onsite visits at customer and partner locations, building relationships and understanding their needs, • Collaborate closely with customer engineers on Design for Manufacturing (DFM) to optimize projects for Xometry's platform, • Proactively identify and address potential manufacturing challenges, • As customer projects are awarded to Xometry, ensure orders are directed to the most qualified manufacturers within our network, • Conduct monthly on-site audits of manufacturing partners to ensure they meet Xometry's quality standards and customer specifications, • Manage projects to successful completion, overseeing production, and ensuring on-time delivery, • Handle critical communications, order changes, and escalations related to customer orders, • Partner with Enterprise Sales Executives to drive account growth and retention, • Identify opportunities for expanding Xometry's services within existing accounts, • Provide technical expertise and support during the sales process, • Bachelor's degree in Mechanical Engineering or a closely related field such Aerospace Engineering, Product Design/Development, or Industrial Engineering is required, • 7+ years of experience in manufacturing, product development, and project management, • Experience in the aerospace industry is highly preferred, • Strong understanding of manufacturing processes and DFM principles, particularly as they apply to CNC applications, • Experience in CNC Machining, Tube Bending, Composites, or 3D printing is preferred, • Proficiency in modelling and drafting software such as Solidworks, • Excellent communication, interpersonal, and problem-solving skills, • Experience with CRM systems such as Salesforce, • Proficiency in Google Suite and Microsoft Office Suite, • Ability to travel to customer and partner sites up to 50%, travel could be short notice and range from short day trips to multi-day drips #LI-Remote Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Job Description The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy—all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA's venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital, Carbon Robotics is driving innovation. As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it's designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers. Working here means tackling big problems with big impact. You'll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions. Join us as we innovate, execute, and build the future of farming together. YouTube | X | Instagram | LinkedIn | News As a Software Engineering Manager (Frontend/Mobile) at Carbon Robotics, you will work alongside your software, mechanical and electrical peers to build AI and robotics products. In particular, you will be involved in the process of guiding a team through designing and implementing websites, applications and mobiles apps that are used with our products. You'll do whatever it takes - which might include going to the farm - to ensure our customers have reliable and safe products. What you'll do: • Manage and lead a team of engineers to build a variety of mobile and web applications that interface with both cloud and robotic systems., • Collaborate with other engineering teams and product managers across multiple disciplines., • Resolve conflicts within the team and across collaboration interfaces, • Oversee the software development lifecycle, including planning, design, implementation, testing, and deployment., • Manage resources and priorities so projects are successfully delivered on time, • Mentor, grow and provide technical guidance to engineers on the team, • Communicate deliverables effectively to the broader organization, • Experience Managing Frontend(Typescript, React) or Mobile (Flutter) Team, • Capable of operating as a Lead Software Engineer in your respective expertise, • Understanding of deployments of web and mobile products while collaborating with backend and robotic teams., • Excellent verbal and written communication skills and a desire to work in multidisciplinary organizations, • Lead by supporting an in the office culture where collaboration drives innovation, • Field visits to Farms are a must Carbon Robotics follows equitable hiring practices. Flexibility in our hiring process allows hiring of talent at levels different from what are posted. The compensation range outlined is based on a target budgeted base salary. Individual base pay depends on various factors such as relevant experience and skill, Interview assessments and responsibility of role, job duties/requirements. Offers are determined using our equitable hiring practices. Carbon Robotics offers additional compensation in the form of benefits premiums, pre-IPO stock options and On Target Earning commissions for appropriate positions. Base pay ranges are reviewed each year. We are committed to the principle of pay equity – paying employees equitably for similar work. Offers are dependent on someone experience and may be outside of the published range when appropriate. If your skills are above the posted range... Apply! We want to hear from you! Carbon Robotics' base salary pay range:$195,000—$217,500 USD Why would you join Carbon Robotics? Passion for building teams capable of solving uniquely interesting problems. Innovation while disrupting the market is what we do. Profiled in WSJ and Forbes, Carbon Robotics is poised to become the next billion dollar company in the rapidly growing worldwide Ag-Tech industry. We offer competitive compensation and benefits to our full time US based* employees, including: • Competitive salaries, • Pre-IPO Stock Options, • Generous Benefits:, • Fully-paid medical, dental, and vision insurance premiums for you and all dependents, • Choice of PPO or HDHP/HSA, • Virtual Care - Doctor on Demand, • Employee Assistance Program, • Mental Health HRA, • Restricted Healthcare Travel support, • Menopause Support, • Life Insurance, • Long Term Disability, • Flexible PTO, • 401(k) plan, • Pet Insurance, • Commuter Benefits Carbon Robotics is building a culture of diversity and inclusion for all. We welcome everyone's voice and believe in open and transparent communication. We believe the best products, services, and companies are built by strong teams that include a diversity of backgrounds, perspectives, ideas, and experiences. We are committed to supporting and enabling growth and opportunity for every employee at every level. This is the foundation to which we will build a truly unique environment. We are equally committed to equal employment opportunity, and it is foundational to how we recruit and hire our talented team. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including potential pregnancy, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability , HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law. #talentacquisition #laserweeding #laserweeder #weedcontrol #agtech #agtechnology #farmtech #robotics #lasers #lasersandrobots #missiondriven #AI #startup #wearehiring #computervision #machinelearning #carbonrobotics

Job DescriptionAbout Galvanick Galvanick protects the industrial world against cyber attacks. Our threat detection platform defends the modern world against criminals and nation-states that target Operational Technology (OT) systems and networks. This is a chance to work in a startup environment with driven individuals committed to solving cybersecurity's big problems. We are backed by Founders Fund, Village Global, MaC Venture Capital, and others. About the Role We are seeking a talented individual to join our team as a Full Stack Engineer. You will play a crucial role in working across the stack to create intuitive product experiences. Our product and vision is focused on securing the nation’s infrastructure and delivering value. You will be hands-on in delivering and owning features end-to-end from concept through launch. This is an opportunity to work across the stack to balance technical constraints with user needs and business goals. You will prototype quickly to validate ideas and iterate based on feedback, data, and creative thinking. This role is ideal for someone with a strong technical foundation and a fundamental understanding of product and design. If you are passionate about reducing complexity and enjoy providing solutions for customers, we would love to hear from you. What You Will Do

Job Description The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy—all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA's venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital, Carbon Robotics is driving innovation. As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it's designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers. Working here means tackling big problems with big impact. You'll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions. Join us as we innovate, execute, and build the future of farming together. YouTube | X | Instagram | LinkedIn | News As Sr. Electrical Engineer, PCB Design at Carbon Robotics, you will design the circuit boards that power our revolutionary products. You'll create everything from high-reliability embedded control boards to power electronics that operate in harsh agricultural environments. From rapid prototyping to optimizing for high-volume manufacturing, you'll do whatever it takes - which might include going to the farm - to ensure our customers have reliable and safe products. What you'll do: • Design PCBs for diverse applications including laser control systems, motor drives, power distribution, control panels, vehicle ECUs, and sensor interfaces, • Create high-speed digital boards for embedded computing, image processing, and real-time control systems, • Develop power electronics PCBs handling high currents for motor control and power distribution, • Design mixed-signal boards integrating precision analog, digital processing, and power management, • Optimize PCB layouts for EMI/EMC compliance, thermal management, and automotive reliability standards, • Implement design for manufacturing (DFM) and design for test (DFT) strategies across product lines, • Collaborate with firmware teams on microcontroller selection, memory architecture, and peripheral interfaces, • 8-15 years experience in PCB design for embedded systems and power electronics, • Expert proficiency in Altium Designer (v18+) including multi-board projects and multi layer designs as well as analytical design optimization tools, • Proficiency in embedded systems including microcontrollers, FPGAs, and communication interfaces, • Significant experience with power electronics layout including thermal management and high-current routing, • Experience with high-speed digital design (DDR interfaces, differential pairs, impedance control), • Previous experience developing PCBs for agricultural/automotive/aerospace applications that meet strict environmental (vibration, temperature, high humidity, EMC) and regulatory requirements., • Understanding of manufacturing processes, component selection, and cost optimization, • Willingness to travel ~10% of the time to support products in the production & field environments with a demonstrated ability to work directly with internal and external stakeholders/customers Passion for building teams capable of solving uniquely interesting problems. Innovation while disrupting the market is what we do. Profiled in WSJ and Forbes, Carbon Robotics is poised to become the next billion dollar company in the rapidly growing worldwide Ag-Tech industry. We offer competitive compensation and benefits to our full time US based* employees, including: • Competitive salaries, • Pre-IPO Stock Options, • Generous Benefits:, • Fully-paid medical, dental, and vision insurance premiums for you and all dependents, • Choice of PPO or HDHP/HSA, • Virtual Care - Doctor on Demand, • Employee Assistance Program, • Mental Health HRA, • Restricted Healthcare Travel support, • Menopause Support, • Life Insurance, • Long Term Disability, • Flexible PTO, • 401(k) plan, • Pet Insurance, • Commuter Benefits Carbon Robotics is building a culture of diversity and inclusion for all. We welcome everyone's voice and believe in open and transparent communication. We believe the best products, services, and companies are built by strong teams that include a diversity of backgrounds, perspectives, ideas, and experiences. We are committed to supporting and enabling growth and opportunity for every employee at every level. This is the foundation to which we will build a truly unique environment. We are equally committed to equal employment opportunity, and it is foundational to how we recruit and hire our talented team. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including potential pregnancy, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability , HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law. #talentacquisition #laserweeding #laserweeder #weedcontrol #agtech #agtechnology #farmtech #robotics #lasers #lasersandrobots #missiondriven #AI #startup #wearehiring #computervision #machinelearning #carbonrobotics

Job Description Under general supervision and reporting to the Senior Director of Quality Operations, The Quality Engineer is responsible for executing and expanding on key initiatives inside of the supplier quality organization, including the execution of various supplier quality engineering related activities such as Compliance, Process and Product Audits, MRB, FAI Witnessing, Review and Sign off, Problem Solving, Corrective and Preventive Actions, Supplier Performance Reporting and other Quality Improvement Activities. Job Responsibilities: • Conducts activities to modify, apply, and maintain quality evaluation, control systems and protocol, • Provides explanations of testing and inspection plans, methods and/or technologies to assure reliability and conformance of products and processes, • Provides analysis and develops recommendations for corrective actions for nonconformities and/or design problems for internally produced products and processes, • Utilizes PPAP core elements (e.g., PFMEA, MSA, Process Flow and Control Plans, etc.) to identify risk in product development and propose risk management solutions, • Provides reviews and ensure requirements are met for work transfer and process change management, • including Resourcing Gate and Production Part Approval Process (PPAP) acceptance, • Reviews process control documentation to ensure it is in compliance with requirements, objectives, and/or contracts, • Develops, modifies, applies, and maintains quality evaluation, control systems and protocols for materials being processed into partially finished or finished products, • Working with product design and specification, devises testing plans, methods, and equipment to assure reliability of product. Collaborates internally to ensure quality standards are in effect, • Develops proactive quality initiative strategies and drives their implementation, • Designs and implements product engineering changes to satisfy quality issues raised by customers, • Responsible for both Program and Product Quality Engineering, • Responsible for development of new inspection technologies or methodologies to assure product conformance, • Strong verbal, written and communication skills, • Project management, time management, problem solving and organization, • Fluent English – reading and writing is required, • Professionalism, integrity, and exceptional attention to detail, • Strong independent decision-making skills; excellent analytical skills and professional judgment, • Establish and maintain effective working relationships, • Fluent English – reading and writing is required, • Pass pre-hire background check including DMV and credit screening, • FAA, EAR, and ITAR standards and regulations, • Engineering Processes, Standard Drawings Conventions, Interpreting Drawing, Specifications, and GD&T, • MS OfficeAdditional requirements, • Bachelor’s degree and 2 years of prior relevant experience OR, in absence of a degree, 6 years of relevant experience required, • Engineering/other technical positions: Bachelor’s degree (typically in Science, Technology,, • Engineering or Mathematics, and a minimum of 2 years of prior relevant experience, • Must be a U.S. citizen BENEFITS: • 12 days paid vacation first year, increasing with service years, • 10 days paid sick time, • 11 paid holidays, • Healthcare insurance available: Medical, dental, vision, STD, LTD, critical illness, life insurance for self and dependents, • Champ Plan Wellness and Health, • Free to employees working minimum 20 hours/week with anticipated $30k/annual earnings, • Participation increases net take home pay $$$ in most instances, • Free wellness initiatives, • Free tele-health, • Free and discounted RX, • Auto enrollment (unless tax elections result in negative impact), • Eligible on the 1st of the month following 30 days of continuous employment, • requires monthly 10-minute wellness activity participation, • 401k retirement savings with match, • Eligible on the first (1st) of the month following 90 days of continuous employment, • 100% match of 1st 3% contribution, • 50% match of next 2% contribution, • IMMEDIATE VESTING, • Company-provided cell phone, laptop, mobile wi-fi (for business use only), • Regular Hourly rate for travel time, • Direct Pay Travel arrangements for flights, hotels and rental cars, • Travel Reimbursements direct deposited with each payroll, • Federal rate Mileage reimbursement (.70/mile 2025) when driving personal vehicles on company business, • Per diem reimbursements for meals and incidentals, • Overnight trips - Up to $75, • Leaving home after 4 pm $40, • Federal rate mileage reimbursement (.70/mile 2025) when driving personal vehicles on company business, • Direct Pay Travel arrangements for flights, hotels and rental cars, • Travel Reimbursements direct deposited with each payroll, • Per diem reimbursements for meals and incidentals, • Overnight trips - Up to $75, • Leaving home after 4 pm $40, • $1500 EMPLOYEE REFERRAL BONUS, • Initial $750 paid upon hire of qualified referred employee (rehires excluded) $33.00-$52.00 per hour eligible for overtime, please note that the salary information is a general guideline only. Trigo ADR considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer. Company Overview TRIGO ADR Americas is the leader in the Aerospace & Defense Industry providing global Supplier Delivery Assurance, Supplier Development and Quality Management Services. Trigo provides a fully integrated service solution to optimize Supplier performance through an embedded “boots on the ground” business model to drive systemic changes that enhance Supplier Quality and Supplier Delivery performance. We work as an extension of our customers to build and maintain supplier and customer collaboration to ensure improved results and provide visibility throughout the supply chain. Trigo’s team of dedicated Delivery Assurance Specialists, Supplier Development Specialists, Supplier Quality Engineers and Program Managers support hundreds of Customers and are deployed to thousands of Suppliers worldwide focused on achieving On-Time and On-Quality Delivery results. TRIGO ADR Americas is an Equal Opportunity Employer, including disabled and veterans, and may require US Citizenship for employment on certain defense contracts subject to ITAR restrictions. All qualified candidates will receive consideration. Except where otherwise provided by law, selection will be made without regard to, and there will be no discrimination because of race, religion, color, national origin, sex, political affiliations, marital status, non-disqualifying physical or mental disability, age, sexual orientation, gender identity, genetic information, membership or non-membership in an employee organization, or on the basis of personal favoritism or other non-merit factors. . 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Job DescriptionWho we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are We are seeking a Senior Machine Learning Engineer to play a key role to join our growing team. As a key member of the Advanced Technologies team, you will play a critical role in designing, developing, and deploying state-of-the-art computer vision and recommendation models that power our core products and solutions. Your work will involve tackling challenging problems in object detection, tracking, OCR, video analytics, and multi-modal systems. This role involves a unique blend of technical expertise in data and machine learning, innovative thinking, and a passion for data-driven solutions. What you'll do • Design, develop, and deploy advanced computer vision models for real-world applications, including object detection, itracking, OCR, image search, and scene understanding, • Build and optimize deep learning models, ensuring high accuracy, performance, and scalability for deployment in production environments, • Explore and integrate multi-modal approaches, leveraging visual, textual, and other data modalities for robust solutions, • Collaborate with cross-functional teams, including data engineers and software engineers to deliver end-to-end solutions, • Lead the design and implementation of scalable pipelines for data processing, model training, and model deployment, • Optimize models for performance on various hardware platforms, including CPUs, GPUs, and edge devices, • Conduct thorough experimentation and A/B testing to validate model effectiveness and ensure alignment with business objectives, • Mentor junior team members, providing technical guidance and fostering professional growth, • Write clean, efficient, and maintainable code while adhering to best practices in software engineering and machine learningWhat we're looking for, • Master's and or a PhD in Computer Science, Engineering, or a related field, or equivalent work experience, • 5+ years of hands-on experience in machine learning and computer vision, with a strong track record of deploying models into production, • Proficiency in Python and ML frameworks (PyTorch/TensorFlow/ONNX/TensorRT), • Strong experience with model optimization (e.g., quantization, pruning) and deployment on various platforms (cloud, edge, or mobile), • Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and orchestration (ECS, Kubernetes), • Proven experience in building and maintaining data pipelines (e.g., Airflow), • Strong understanding of the agile development process and CI/CD pipelines and tools (e.g., Github Actions, Jenkins), • Excellent communication skills, capable of presenting complex technical information clearlyWhile not required, these are a plus:, • Experience with C++, • Experience in high-growth, innovative environments Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionNote: This position is open to remote applicants based in the US only.Job Title: Software Engineer (Data Platform)Location:& Remote. United States ONLY.Employment Type:& Salaried W2 Full-Time.Salary: $125,000 - $200,000About the company We represent a rapidly growing data company in NYC that’s redefining how real-world assets are represented and traded on public blockchains. Their platform serves investors, issuers, and financial institutions by providing reliable analytics, market intelligence, and transparent data on tokenized assets across the globe. They’re trusted by leading players in finance and blockchain for their accuracy, scale, and forward-thinking approach to digital asset infrastructure. It’s an exciting opportunity to join a team that’s helping shape the future of real-world asset tokenization and build technology that’s changing how the financial world connects. Responsibilities * Build and scale core data systems and APIs that serve product-level analytics * Collaborate with application engineers to ensure clean data flow between backend systems and end-user features * Develop and optimize data pipelines using PySpark and Databricks * Work closely with the lead data engineer on system architecture and data infrastructure design * Participate in system design discussions focused on scalability, performance, and maintainability * Contribute to the full software development lifecycle, from design through deployment * Support product and engineering teams by turning raw data into usable insights & Ideal Background * 4 to 5+ years of software engineering experience, preferably focused on large-scale data systems * Strong proficiency in Python and experience with PySpark * Experience with distributed frameworks such as Apache Spark, Beam, Flink, or Kafka Streams * Proven ability to design, build, and maintain production-grade data pipelines and APIs * Background in computer science, computer engineering, applied mathematics, or a related field (top 50 university or equivalent rigor preferred) * Experience working on data-driven products rather than internal BI or reporting systems * Strong communication skills and the ability to explain technical tradeoffs clearly * High attention to detail, ownership mindset, and a passion for building high-quality systems Nice to Have * Experience in fintech, blockchain, or other data-intensive environments * Hands-on experience with Databricks or real-time streaming data systems * Demonstrated curiosity and craftsmanship through side projects or open-source work

Job DescriptionAt IUNU (“you knew”), we're amplifying the ability of growers to produce the highest quality greenhouse crops by leveraging robotics, computer vision, and AI. Our LUNA system is deployed at greenhouses in more than 15 countries, providing critical information like yield forecasts, pest detection and germination rates to growers on mobile and web platforms. By increasing yield and reducing waste, we're building a sustainable future full of delicious vegetables! As a Senior Mechanical Engineer in Robotics at IUNU, you will design, develop, and improve robotic systems that operate with a high degree of reliability in the challenging environment of a greenhouse. You possess an in-depth understanding of mechanical system design for harsh industrial environments such as IP67 waterproofing, high thermal loads in varying ambient temperatures, and significant vibration exposure. You combine your technical abilities with leadership skills to establish high standards of reliability and accountability for our fleet in the field, and you have experience maintaining those standards in production. Your curiosity and passion for engineering drive you to work cross-functionally, fostering a collegial and collaborative engineering culture. Responsibilities: • Design, develop, and improve IUNU robotic systems and deployments across multiple product lines, • Establish a high standard for the mechanical components of our robots and hardware installations with a focus on reliability, safety, and consistency, • Maintain system design schematics for production and prototype robots, and develop documentation for assembly and deployment, • Identify and manage opportunities to improve manufacturing (in-house and contracted) with respect to cost, timeliness, and quality, making the appropriate recommendations and tradeoffs as necessary, • Manage the complete lifecycle of engineering documentation, including authoring and maintaining precise engineering drawings, Bills of Materials (BOMs), and build processes, while driving quality improvements through the rigorous execution and approval of Engineering Change Notices (ECNs), • Work closely with electrical, firmware, application, and other mechanical engineers to efficiently size, groom, and prioritize work items in an Agile environment, • Excel in high-pressure situations, providing immediate troubleshooting and triage for urgent production, field, and manufacturing problems against tight, mission-critical deadlines., • Participate in accelerated testing of components for determining MTBF, lifespan, maintenance cycles and the associated acceptance criteria based upon business needs, • Open to travel 10%Requirements:, • Bachelor’s degree in Mechanical Engineering, Mechatronics, Robotics, or related technical field with typically a minimum of 3 years of related experience, • Experience creating parts using best practices, creating and working with large assemblies and structural analysis in SolidWorks, • Strong experience creating detailed engineering drawings and documentation (fully dimensioned part drawings, assembly drawings with BOM, exploded views, etc.) with a firm grasp of GD&T principles per ASME Y14.5M., • Solid understanding and application of principles, concepts, theories, and techniques in mechanical engineering, • Experience converting non-technical inputs into objectively verifiable engineering requirements that create a product that delights the customer, • Ability to quickly turn a finalized design into a physical prototype by producing engineering drawings, sourcing suppliers, working through procurement challenges, and leading final assembly on compressed timelines, • Ability to write clear and comprehensive technical documentation and assembly instructions, • Detail-oriented with excellent critical thinking, communication, time management skills and multitasking abilities., • Data-driven problem-solving skills to troubleshoot, triage, and fix mechanical, electrical, and software issues within production, design, and manufacturingDesired:, • Master’s degree in Mechanical Engineering, Mechatronics, Robotics, or related technical field, • Experience with mechanical engineering in a regulated industry such as aerospace or medical, • Prior robotics hardware implementation experience, • Experience with production level design, DFA, DFM, • Experience in designing and developing core electronics for robotic applications, including rechargeable battery power systems (BMS, charging circuits), power distribution, motor control, schematic capture, and PCB layout., • Experience in the hands-on integration of complex electromechanical systems, including the selection of sensors (LiDAR, IMUs, cameras) and actuators, and the design of robust wiring harnesses., • Experience in implementing and managing system-wide communication using ROS and a variety of industrial and wireless protocols (e.g., EtherCAT, CAN bus, Wi-Fi) over a standard TCP/IP network., • Hands-on experience with additive manufacturing practices and operating associated hardware, • Ability to read and create electrical schematics or PCB layouts, • Basic experience with Python, C++ and Linux environments using command-line interfaces, • Experience in low- to medium-volume manufacturing environments involving large products, • Six Sigma training / certification, • Experience designing, implementing, and testing both static and dynamic systems, • Experience working within an early/growth-stage startup team, • Experience leveraging AI tools to automate repetitive tasks and optimize workflows, resulting in a significant improvement in operational efficiency.We’re looking for a candidate who values transparency in communication and is comfortable documenting and troubleshooting issues. You should be able to communicate effectively with team members, including summarizing design decisions, test requirements and root cause analysis. You are able to write design, assembly and maintenance documentation and present them in a logical manner. You are comfortable with ambiguity and want to work in a fast-paced startup environment. Diversity: At IUNU, we’re committed to providing a safe and inclusive environment. We are dedicated to the happiness and success of all of our employees, and strive to foster a workplace in which individual differences are recognized, appreciated, nurtured, and respected. Diversity is important, and we strongly encourage people of all identities and backgrounds to confidently apply for a job with us if this is a role that interests and excites you. We want you to feel comfortable bringing your whole self to work with you, with all of your talents and strengths. Powered by JazzHR N1j6dZqOnE

As a Backend Engineer, you’ll design, implement, and optimize systems that power mission-critical applications. Engineer backend services that support customer-facing applications and deliver seamless user experiences. Collaborate with product managers, designers, and other engineers to deliver en

As a Senior Backend Engineer - Enterprise Applications at Read AI, you will play a key role in developing and maintaining the backend services that power our enterprise product offerings. Collaborate with cross-functional teams to design and develop scalable and reliable backend services and APIs th

Staff Platform Engineer Location: Hybrid onsite, Greater Seattle Area Compensation: $190K – $230K Base + Equity + Bonus opportunities Our client, an early-stage technology company is seeking a Staff Platform Engineer to help build the foundation of its next-generation platform. The team is focused on creating smarter, more intuitive customer experiences by leveraging modern software and AI technologies. This role offers the chance to work closely with experienced founders and contribute to shaping a product designed to transform a major software category. Responsibilities: • Design and develop high-quality software, driving architecture and full lifecycle delivery of new platform capabilities., • Collaborate with cross-functional teams to deliver features on time., • Build integrations with tools across the ecosystem., • Partner with leadership on strategy for customer-facing experiences., • Write technical documentation and improve internal processes., • Take ownership of technical direction and decisions., • Mentor engineers in the technology stack., • Establish engineering standards and best practices. Qualifications: • 8+ years of experience building scalable platforms., • Strong understanding of database internals and schema design., • Experience with AWS., • Interest in integrating AI/LLMs into products., • Hands-on experience with data pipeline technologies (Spark, Flink, etc.)., • Proficiency with React, TypeScript, Next.js, and Postgres., • Strong problem-solving skills with a focus on impact., • Experience taking software from concept to launch. Why Join: • Impact: Play a pivotal role in shaping the technical foundation of a new product., • Growth: Collaborate with a highly skilled team across engineering, product, design, and go-to-market functions., • Rewards: Competitive compensation package including base salary, equity, and bonus opportunities., • Environment: Hybrid flexibility with a culture that values innovation, collaboration, and excellence. Prime Team Partners is an equal opportunity employer. Prime Team Partners does not discriminate on the basis of race, color, religion, national origin, pregnancy status, gender, age, marital status, disability, medical condition, sexual orientation, or any other characteristics protected by applicable state or federal civil rights laws. For contract positions, hired candidates will be employed by Prime Team for the duration of the contract period and be eligible for our company benefits. Benefits include medical, dental and vision. Employees are covered at 75%. We offer a 401K after 6 months, we do not provide paid holidays or PTO, sick time is offered in accordance with local laws

We are looking for an experienced Data Engineer (8+ years of experience) with deep expertise in Flink SQL to join our engineering team. This role is ideal for someone who thrives on building robust real-time data processing pipelines and has hands-on experience designing and optimizing Flink SQL jobs in a production environment. You’ll work closely with data engineers, platform teams, and product stakeholders to create scalable, low-latency data solutions that power intelligent applications and dashboards. ⸻ Key Responsibilities: • Design, develop, and maintain real-time streaming data pipelines using Apache Flink SQL., • Collaborate with platform engineers to scale and optimize Flink jobs for performance and reliability., • Build reusable data transformation logic and deploy to production-grade Flink clusters., • Ensure high availability and correctness of real-time data pipelines., • Work with product and analytics teams to understand requirements and translate them into Flink SQL jobs., • Monitor and troubleshoot job failures, backpressure, and latency issues., • Contribute to internal tooling and libraries that improve Flink developer productivity. Required Qualifications: • Deep hands-on experience with Flink SQL and the Apache Flink ecosystem., • Strong understanding of event time vs processing time semantics, watermarks, and state management., • 3+ years of experience in data engineering, with strong focus on real-time/streaming data., • Experience writing complex Flink SQL queries, UDFs, and windowing operations., • Proficiency in working with streaming data formats such as Avro, Protobuf, or JSON., • Experience with messaging systems like Apache Kafka or Pulsar., • Familiarity with containerized deployments (Docker, Kubernetes) and CI/CD pipelines., • Solid understanding of distributed system design and performance optimization. Nice to Have: • Experience with other stream processing frameworks (e.g., Spark Structured Streaming, Kafka Streams)., • Familiarity with cloud-native data stacks (AWS Kinesis, GCP Pub/Sub, Azure Event Hub)., • Experience in building internal tooling for observability or schema evolution., • Prior contributions to the Apache Flink community or similar open-source projects. Why Join Us: • Work on cutting-edge real-time data infrastructure that powers critical business use cases., • Be part of a high-caliber engineering team with a culture of autonomy and excellence., • Flexible working arrangements with competitive compensation.

Introduction to the team We create and deliver an aligned, dedicated marketing strategy to fuel each Expedia Group brand's success. Since our travelers interact with us through our brands, we have a brand focus in our marketing, while leveraging the scale and efficiency we’ve built in functional expertise. At Expedia Group, our Growth Marketing team is redefining how data-driven marketing meets AI-powered, agentic automation. We drive performance through best-in-class, scalable machine learning, deploying production-ready multimodal LLMs, GenAI, and agentic NLP architectures. Our agentic systems power everything from personalized travel discovery to real-time, cross-platform campaign execution at massive scale. Explore “Trip Matching” on Instagram for a glimpse into our production chatbot transforming inspiring reels and posts into hotel recommendation. As an ML Scientist III, your mission is to engineer, and scale production AI workflows, agents, and multimodal LLM pipelines, leveraging both in-house and third-party systems. You’ll develop agentic solutions with advanced orchestration tools like LangGraph, Langfuse, RAG, and the latest frameworks, owning end-to-end delivery and optimizations for inference and GenAI systems. In this role, you will: • Develop and deploy complex agentic and multimodal AI workflows at production scale, architecting memory-enabled, context-aware agents that drive dynamic automation, personalization, real-time monitoring and content generation., • Design and orchestrate advanced LLM and RAG-driven agent solutions using modular frameworks including LangGraph, Langfuse, CrewAI, AutoGen, and other emerging agentic orchestration tools—enabling adaptive, stateful, and highly interactive workflow graphs., • Integrate and optimize complete multimodal GenAI pipelines: text-to-image, image-to-video, text-to-video, and text-to-voice, leveraging and extending in-house and third party models., • Fine-tune (parameter-efficient tuning, LoRA, QLoRA, etc.), and evaluate (perplexity, accuracy, creativity metrics) both open-source (Llama, MPT, Phi-4, etc.) and commercial LLMs (OpenAI GPT-4, Gemini, Claude)., • Pioneer LLM-based simulation & evaluation environments (e.g., LLM-as-a-Judge): Leverage the latest LLMs, multi-agent systems, and generative tools to simulate user behavior, accelerate experimental cycles, and rigorously evaluate new features or workflows in both synthetic and prod online shopping and travel environments., • Simulate A/B testing via LLM simulations: Build A/B test agents capable of simulating user engagement, behavioral outcomes, and marketing scenarios to complement and replace large-scale online testing—enabling rapid iteration, robust pre-deployment validation, and deeper insight into agentic/LLM-driven feature impact., • Continuously adopt and iterate on the latest frameworks, staying current with state-of-the-art in agentic orchestration, memory models, multimodal GenAI, LLM pipelines, and LLM operation (RAG, memory, tracing, evaluation)., • Collaborate deeply with engineering, marketing, and product teams to translate evolving business objectives into scalable and observable AI-driven solutions. Experience and qualifications: • Minimum 7+ years experience delivering robust, scalable AI/GenAI solutions at enterprise scale with a Bachelors degree (4-5+ year of relevant experience with a Masters/PhD in CS, EE, Stats), • Agentic frameworks experience working with platforms such as LangGraph, Langfuse, RAG, CrewAI, AutoGen, and comparable agent workflow frameworks, • Ability to design complex agent graphs with memory, tool calling, and multi-step reasoning, • Multimodal and agentic AI experience in both commercial and open-source models (VLMs, CLIP, Phi-4, DINO, etc), advanced LLM pipeline design, and shipping both inference and generative AI features to users, • Hands-on experience in fundamental neural network models (CNN, Transformers, BERT, VAEs, Multimodals etc), • Proven expertise in architecting persistent, hybrid, and context-managed memory for agentic workflows, • Strong in Python (PyTorch, HuggingFace, etc.), MLOps, distributed systems (PySpark, Databricks, Airflow), and scalable API engineering, • Deep experience with tracing, logging, and observability stacks (Langfuse, PromptLayer, Weights & Biases, etc.), including prompt monitoring and model evaluation in live production, • Ability to translate complex technical systems into actionable solutions for cross-functional teams, leveraging Multimodal LLMs and Gen AI models

Who is Wyze? Wyze is a high-growth, Series B, consumer technology company. Our vision is to make great technology accessible to everyone through our smart home platform. Our aim is to serve everyday people, like me, you, and our friends and families, with products and services that are too good to be true. We want employees who will be inspired by this and welcome all who will help us build the next amazing chapter at Wyze. Wyze is home to some of the most innovative products and services in the market. Forbes named us in their America’s Best Startup Employers 2023 list, Time Magazine selected us for their 100 Most Influential Companies of 2022, Fast Company named us as one of the Most Innovative Companies in 2021and PCMag gave our Cam v3 an Editor’s Choice Award. We disrupted the market with our Wyze Cam v1 and then quickly took over as a market leader in the space. We recently disrupted it again with our revolutionary Cam Plus Pro service. GeekWire calls us a start-up to watch and one of the Pacific Northwest’s next unicorns… and we are just getting started. Our people-centric innovative vision is not only present in our products and services, but it is also embedded in the fabric of our company. We were just listed in the Top 100 Best Places to Workby Built in Seattle, listed as one of their Best Midsize Companies to Work For and awarded as one of their Companies with the Best Benefits. Seattle Business Magazine certified us as a Best Places to Work too! We value the unique life experiences every employee brings to work every day. We are committed to creating an inclusive environment whereby our employees are encouraged to be their authentic whole selves and are rewarded for their impact across the company. Everyone is welcome and empowered to do the best work of their lives. If you are based in the Greater Seattle Metropolitan area, we are working hybrid (three days a week in the office and two days a week remote). Come join us and make the impossible possible! Overview: Wyze is seeking a talented and dedicated Senior Product Security Engineer to join our dynamic and rapidly growing team. As a Senior Product Security Engineer at Wyze, you will play a critical role in safeguarding our systems, networks, and data, ensuring the security and privacy of our products and services. You will collaborate with cross-functional teams and be responsible for implementing and maintaining security measures, monitoring for threats, and responding to incidents. Key Responsibilities: API Pentesting Mobile Pentesting Binary exploitation secure source code review Security Implementation: Design, implement, and maintain security measures for Wyze's Smart Products. Threat modeling for hardware products, creating SBOM for firmware, pentesting IoT smart devices and cameras. Vulnerability Assessment: Conduct regular security assessments and vulnerability testing to identify and remediate potential weaknesses in our products and applications. Security Policies: Develop and enforce security policies, standards, and procedures to ensure compliance with industry best practices and relevant regulations. Collaboration: Work closely with cross-functional teams, including software developers, DevOps engineers, and IT teams, to integrate security into the software development lifecycle and ensure a proactive security posture. Security Research: Stay updated on emerging threats, vulnerabilities, and industry best practices, and provide recommendations to improve our security posture. Qualifications: Bachelor's degree in Computer Science, Cybersecurity, or a related field. Advanced degrees or relevant certifications are a plus. Security Assessment and Penetration Testing: Conduct ethical hacking and penetration testing on camera devices and web applications to identify vulnerabilities and security flaws. Proven experience in cybersecurity roles, emphasizing embedded systems, network, and application security. Security Implementation: Develop and implement robust security measures to protect camera devices, web applications, and data infrastructure from unauthorized access and potential threats. Data Management and Query Optimization: Manage and optimize data queries in Snowflake, ensuring data integrity, efficiency, and compliance with data governance standards. Knowledge of cybersecurity frameworks and standards such as NIST, ISO 27001, or CIS. Proficiency in security tools and technologies, including firewalls, intrusion detection systems, SIEM solutions, and more. Strong programming and scripting skills (e.g., Python, Bash). Relevant certifications such as OSCP, OSWE , OSED, OSEE are preferred. IoT Embedded exploit researcher Manual Static code analysis review Exceptional problem-solving skills, attention to detail, and strong communication abilities. Our Benefits Wyze has a full benefits package through Premera Blue Cross. This includes Medical, Dental, Vision, Basic Life Insurance, Voluntary Life Insurance, EAP, Short-term disability, Long-term disability, FSA, and Daycare FSA. Employee premiums will be paid 100%, and about 67% paid premium for dependents. 12 Holidays - 8 set holidays and 4 Floating Holidays for you to use however you choose 24 days of PTO every year Additional Wyze anniversary vacation days Principal 401k Plan - there is no company match at this time Rosetta Stone reimbursement if you'd like to learn Mandarin $50 a month reimbursed as a technology stipend - taxes apply Wyze employee product perks: Wyze employees receive an array of our most loved products and services, as well as Wyze software services once they are launched. Employees also get a chance to participate in our beta program for unreleased products to help make Wyze better for all! Come Join Us! If this sounds too good to be true and you are ready to be part of #teamwyze, then we want to hear from you! Please send us a cover letter that showcases some of the outstanding things you can do and how you feel they could apply to our vision and projects here at Wyze! We will ensure individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Lastly, and exceptionally important to us: we are an equal opportunity employer and value diversity as well as inclusion here at Wyze. We are fully committed to providing equal employment opportunities for all employees and all applicants for employment. That’s how we do things! Job Type: Full-time Pay: $140,000 - $220,000 per year

Introduction to the Team: Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. The Multi-Product AI team at Expedia Group enables unforgettable travel experiences. The team’s responsibilities cover search ranking & recommendations for Brand Expedia across core lines of business including Flights, Cars, Packages, and Activities. Additionally, we’re responsible for optimizing our interactions with travelers across this domain, including cache optimization, price forecasting, and next-best action modeling. Our approaches include both traditional ML as well as GenAI and Agentic AI solutions. We work closely with other teams in the Data & AI organization to continually improve our tools, processes, and platforms for building and deploying industry leading AI solutions. The Senior Machine Learning Scientist will be a technical lead for our team’s Generative & Agentic AI projects. You will utilize RAG pipelines, LLM orchestration, MCP servers and other techniques to solve challenging business problems, implement best practices across the team, and act as a full-stack contributor to design, develop, and deploy AI solutions. You will work with a dynamic group of product managers, engineers, and scientists to achieve Expedia’s business goals. In this role, you will: • Enhance our recommendations across both agentic & traditional search placements, • Design and implement agentic AI systems and define best practices for the team, • Design agentic systems with capabilities including long-term memory, tool integration, multi-agent collaboration, • Lead end-to-end agent development lifecycles, including prompt engineering, RAG, evaluation, deployment, and monitoring, • Utilize MCP for enterprise data/tool connectivity, • Manage stakeholders with frequent communication and expectation management, meeting deadlines and minimizing surprises., • Build relationships with other AI leads across the company to share knowledge & find collaboration opportunities, • Stay abreast of developments in machine learning & AI via publications and conferences Minimum Qualifications: • Bachelor's, Master’s, or PhD degree in a quantitative field, • 6+ years of industry experience as an AI Engineer or similar role, • 2+ years experience as a technical lead of Agentic AI projects, • Expertise with Python & AI libraries/frameworks such as Pytorch, TensorFlow, LangChain, LlamaIndex, HuggingFace, • Proven ability to build, deploy, and maintain AI projects in production environments, • Strong experience with LLM orchestration, prompt engineering, RAG pipelines Preferred Qualifications: • Experience with ranking & recommendation systems, • Publications in top-tier ML conferences or journals, • Experience building or integrating MCP servers for tool exposure, • Familiarity with multi-agent/hierarchical agent systems

Senior Backend Developer - Python $120,000 - $190,000 Seattle, WA Hybrid Overview We’re looking for a seasoned backend engineer to help design and build the core systems behind our workspace platform. You’ll take ownership of designing efficient services and APIs, working closely with product and engineering peers to deliver reliable, scalable systems. This role is ideal for someone who enjoys writing clean, performant code and shaping the technical foundation of a fast-moving product. What You’ll Be Doing • Partner with product and technical teams to define and deliver backend capabilities., • Design and implement service components and APIs that handle complex business logic., • Work primarily in Python, using frameworks such as Flask to develop and extend our service layer., • Build integrations and data flows on top of our cloud infrastructure (AWS)., • Participate in architectural planning, technical reviews, and process improvements across the team. About You • 6+ years of professional software engineering experience, including substantial time spent on backend systems., • Expert-level fluency in Python, with hands-on experience using Flask to build production-grade APIs and services., • Solid understanding of AWS fundamentals and modern cloud-based design patterns., • Comfortable designing for performance, scalability, and maintainability., • Pragmatic problem-solver with strong technical judgment and attention to detail., • Experience in enterprise SaaS or insurance platforms is a plus. Nice to Have: • Experience working at companies with small teams.

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. As the Software Development Engineer for the Neuron Foundation Tools Team, you will be responsible for working alongside a team of engineers to develop and maintain high-performance monitoring and profiling tools for machine learning applications and AI accelerators. You will work on design, development, and deployment of the Neuron Profiler and other Neuron Tools. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior. Improving performance of ML Kernels and ML Frameworks. In this role, you will manage the full development life cycle of the Neuron Profiler/Tools toolchain, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler and runtime generates key information so customers can understand and optimize the performance of our custom hardware. Additionally, you will drive innovations that allow the profiler to support multiple frameworks, such as PyTorch, JAX, and XLA. A successful candidate will have an established background in building AI/ML and performance analysis tools. Experience with ML-specific profiler tools (like PyTorch Profiler or TensorFlow Profiler) is highly desirable, along with direct customer-facing experience and a strong motivation to achieve results. A day in the life day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale. About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Job Description About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We're looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere. About the role We are looking for a senior ontology and semantic systems engineer to design and operationalize Armada's semantic layer—the foundation for how our AI systems understand, reason over, and act on data. You will develop and maintain ontologies, semantic schemas, and knowledge graph infrastructure that power search, reasoning, agent orchestration, and domain-specific applications across energy, industrial, defense, and logistics sectors. This is a role at the intersection of knowledge representation, semantic web technologies, and applied AI—ideal for someone who wants to shape the way complex, multi-modal data becomes machine-understandable and fuels AI/agent workflows at scale. What You'll Do (Key Responsibilities) • Define, model, and maintain ontologies using OWL, RDF, RDFS, SKOS, SHACL, and related W3C standards. Translate real-world operational knowledge into formal semantic models., • Build and manage knowledge graphs / triple stores; expose SPARQL endpoints; design performant queries; support large-scale semantic reasoning., • Provide APIs and access layers so AI/ML models, retrieval-augmented generation (RAG) pipelines, and autonomous agents can fetch, reason, and act on semantic data., • Design pipelines to transform structured and unstructured sources (CSV, XML, JSON, relational DBs, sensor feeds) into RDF/semantic formats., • Define best practices for ontology modularity, versioning, IRI management, vocabulary reuse, and schema evolution., • Partner with AI engineers, product managers, and domain experts to ensure semantic models reflect operational reality (e.g., drilling, logistics, geospatial, safety)., • Validate data with SHACL or similar frameworks, ensuring semantic integrity, consistency, and compliance with enterprise standards., • Master's or Doctoral degree in Computer Science, Information Science, Knowledge Representation, Ontology Engineering, or related field., • 5+ years of hands-on experience in ontology engineering, semantic web, or knowledge graph development., • Deep expertise in RDF, OWL, SPARQL, and W3C semantic web standards., • Experience with at least one major triple store or graph DB (for example, GraphDB, Stardog, Virtuoso, Neptune, AllegroGraph, Neo4j where applicable)., • Strong programming and scripting ability (Python, Java, or similar) for semantic ETL and API development., • Experience implementing validation rules (SHACL, ShEx) and maintaining semantic integrity at scale., • Experience building or operating large-scale knowledge graphs with billions of triples., • Familiarity with integrating ontologies with AI/LLMs (e.g., retrieval-augmented generation, agent orchestration, grounding for multimodal models)., • Domain expertise in industrial, energy, geospatial, logistics, or defense ontologies., • Contributions to ontology or semantic web communities / standards bodies. For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request). Benefits • Competitive base salary and equity, • Medical, dental, and vision (subsidized cost), • Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA), • Retirement plan options, including 401(k) and Roth 401(k), • Unlimited paid time off (PTO), • 15 paid company holidays per year #LI-AB1 #LI-Onsite Compensation$180,000—$225,000 USD You're a Great Fit if You're • A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge, • A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude, • Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company, • A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda, • Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time. Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.

Job DescriptionOur Mission & Culture At Xealth, we're revolutionizing healthcare by leveraging data and automation to empower care providers (building on EHRs such as Epic and Cerner) to seamlessly prescribe, deliver, and monitor digital health for patients. We are a detail-oriented team, committed to maintaining the highest standards while moving with agility and impact. We are a highly skilled, collaborative, and passionate group, applying our expertise to improve health outcomes for millions. We believe in shared ownership and are looking for a team player who is a self-starter and self-driven to pioneer the next generation of intelligent, automated data insights. This role offers a unique opportunity to join a data engineering team to advance our capabilities with data processing pipelines and our analytics product offering. There is a strong preference for this person to sit in the Seattle office; however, we are open to candidates in other locations within the United States. What You'll Own and Deliver (Responsibilities) As a core member of our data engineering team, you will design, build, and scale the services that power Xealth's Analytics and Reporting Capabilities. You'll apply solid computer science fundamentals to solve complex problems in distributed systems, data modeling, and data pipelines. • Data Modeling: Execute expert-level Data Modeling and Design, utilizing dimensional modeling and denormalization techniques specifically for analytic workloads., • Data Ingestion: Ability to consume and process high-volume bounded and unbounded data, build robust Change Data Capture (CDC) mechanisms, and gather data from API calls and webhooks., • Pipeline Design & Orchestration: Design, build, and optimize high-volume, real-time Streaming Data Pipelines utilizing PySpark and Databricks environments., • Scalability & Maintenance: Maintain and scale large Data Lake Pipelines, ensuring high performance and cost-efficiency., • Unit testing & Quality Assurance: Write comprehensive unit and integration tests for data pipelines to ensure code quality and production reliability., • Cross-Functional Collaboration: Partner with product managers and EHR specialists to translate clinical user behaviors into rich, analytical datasets, unlocking critical insights that drive evidence-based improvements in healthcare processes., • Technical Leadership: Contribute to code reviews, system design discussions, and technical decisions that raise the engineering bar across the team. Core Technical Competencies: • Data Engineering Expertise: 5+ years of professional experience building production-grade data pipelines and applications, with expert proficiency in Python, PySpark and SQL. Familiarity with JavaScript would be a plus. You must have solid hands-on experience working with modern massively parallel data processing systems., • CS Fundamentals: Deep understanding of algorithms and data structures, with a specific focus on distributed computing principles (concurrency, partitioning, shuffling) necessary for processing large-scale datasets., • Optimization & Troubleshooting: Proficient in diagnosing complex failures in distributed processing jobs (e.g., Spark executor errors, memory leaks, data skew) using logs, distributed tracing, and performance metrics., • Modern SQL and Non-SQL Database Design: Deep practical knowledge of open table formats, such as Delta Lake. Proficiency with common big data file formats, including Apache Parquet and Apache Avro., • Infrastructure as Code (IaC): Experience implementing IaC principles and tools for the automated deployment and management of data pipelines., • API & Integration: Hands-on experience designing robust data ingestion frameworks via RESTful APIs and building event-driven architectures for real-time data flow., • Cloud & Distributed Systems: Experience designing and scaling cloud-native data platforms and orchestrating data workloads using AWS and Kubernetes.Highly Valued Experience (Nice to Have), • Security & Governance: Prior experience in regulated industry with high security requirements. A good working understanding of Data Security principles, particularly regarding Protected Health Information (PHI) and sensitive data governance., • Real Time Stream Processing: Expertise building streaming data pipelines, leveraging stream processors such as Apache Kafka and Apache Flink, • Observability: Experience implementing and utilizing Data Observability tools and practices to monitor data quality, lineage, and pipeline health., • Visualization: Experience building dashboards and visualizations to communicate data insights effectivelyAbout Xealth, • Xealth created the leading digital health platform helping health systems deliver connected, personalized care at scale. Embedded in the EHR, it enables clinicians to prescribe, automate, and measure the impact of digital tools--including apps, services, and wearable data--within existing workflows. Now part of Samsung's connected care vision, Xealth enhances decision-making, reduces friction, and supports enterprise-wide digital health strategies. Trusted by more than 500 hospitals and 70+ solution partners, Xealth provides a scalable foundation for delivering connected, personalized, and preventative care--empowering health systems to drive outcomes, engagement, and operational efficiency while advancing digital transformation., • Xealth has been named to the World's Best Digital Health Companies list by Newsweek, awarded gold in the Digital Health awards in 2024 and twice in 2023. In 2023 Xealth was also listed as one of BuiltIn's Best Places to Work, and one of Fierce Healthcare's Fierce 15 of 2023. Xealth offers a multi-tiered approach when constructing a highly competitive compensation package. The compensation package would include a base salary, bonus, and a comprehensive suite of benefits. The compensation range for this position is $155,000 - $225,000 + bonus, depending on geographic market. Paid parental leave. Comprehensive medical, dental, and vision policies. Xealth covers 100% of employee premiums. We also provide Employee Assistance Programs. Xealth provides your laptop and offers a home office stipend. Generous learning & development opportunities for you to grow your skills and career. 401k Match: Xealth offers a dollar-for-dollar match up to 3%. Flexible time off & 10 standardized holidays. $500 yearly fitness stipend to spend on staying active. Xealth is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

Job DescriptionIf this role is still posted then we are still recruiting and needing applications.& THIS IS NOT A REMOTE OR WORK FROM HOME POSITION.& Please read this PDF before applying: recruiting-guy.co/obviant-fullstack-more-info& Position:& Full Stack EngineerSalary Range: $130,000 - $195,000, depending on experienceExperience Required: 6+ yearsJob Location: Arlington, VAModality: On-Site only. & & & & & & & & & Must live within commuting distance of Arlington, VA. or be willing to relocate. & & & & & & & & & Relocation is required but not required prior to starting.Relocation Assistance: YesUS Citizenship Required: Yes About the Role: Obviant is hiring a Full Stack Engineer who loves building products from start to finish. You will shape features, architect scalable systems, and bring clarity to complex problems through thoughtful design and clean code. This is a hands-on role where your ideas and ownership will directly shape the product. We are looking for someone who thrives in a fast-paced environment, values collaboration, and enjoys solving problems that have not been solved before. What You Will Do • & & Own projects from concept to launch, including design, architecture, and implementation., • & & Work across the entire stack, from building APIs to developing intuitive frontends and component libraries., • & & Design system architecture that scales and supports product growth., • & & Build tools and visualizations that make complex data easy to understand., • & & Write reliable, maintainable, and well tested code using TypeScript, JavaScript, React, and Node.js., • & & Collaborate with teammates and users to understand workflows and deliver impactful solutions., • & & Take initiative, share feedback, and help define technical direction. Requirements • & & 6+ years of experience as a full stack engineer, preferably in a startup or high growth environment., • & & Strong knowledge of TypeScript, JavaScript, React, and Node.js., • & & Proven frontend development experience., • & & Experience with system design, architecture, and software best practices., • & & The ability to think critically about tradeoffs and build for long term maintainability., • & & Clear communication skills and a collaborative approach to teamwork., • & & A positive, low ego attitude focused on shared success. Nice to Haves • & & Experience working at large scale technology companies such as AWS, Capital One, or similar., • & & Background in building AI or machine learning enabled products., • & & Experience developing internal tools or platforms that empower other engineers. Additional Expectations • & & US Citizenship is required due to U.S. Department of Defense contracts.

Job Description Company Founded in 2018 by CPAs, tax attorneys, and software developers, Taxbit is creating an entirely new category to enable widespread compliant adoption of digital assets for the global economy. Taxbit's Software-as-a-Service (SaaS) platform streamlines and automates customers' tax reporting and accounting activities for digital assets. Trusted by leading crypto, tech, and traditional enterprises, Big 4 accounting firms, and government agencies (including the IRS), Taxbit solves compliance challenges at scale amidst an ever-evolving regulatory landscape. Taxbit is backed by leading Silicon Valley VCs with teams located in New York City, San Francisco, Seattle, Salt Lake City, and Europe. Opportunity for Impact Taxbit is seeking a Forward Deployed Engineer to be a critical technical partner in our growth. This role is a unique hybrid, split evenly between client-facing technical leadership and core platform engineering, perfect for someone who is passionate about helping the world's largest enterprises solve complex problems and navigate the complex frontier of digital asset compliance through cutting-edge software. You will spend roughly half your time working directly with clients: providing deep technical guidance during the sales process, helping close deals, and owning the integration experience from start to finish. You will become the company's expert on our integration process, from backend data pipelines to frontend application integrations, and will develop and own the demos that bring our product to life. The other half of your time will be spent as a key contributor to the core Taxbit platform. You will leverage the direct client insights from your field experience to identify problems, then design, build, and deliver the scalable platform solutions and new features our clients need, directly shaping our product roadmap. We welcome individuals who are humble, hungry, and excited to tackle some of the industry's biggest challenges at the intersection of technology and client success! Role and Responsibilities Client-Facing Engineering (Pre-Sales & Post-Sales) • Act as the trusted technical advisor to our most strategic clients, from individual developers to CTOs., • Provide expert technical guidance to our sales team and potential clients during the pre-sales cycle to help design solutions and close deals., • Develop, own, and maintain our suite of high-quality demos and technical documentation for use in pre- and post-sales client engagements., • Become a deep expert on our client integration process, mastering both backend data integration challenges and frontend application integrations., • Be the voice of the customer to Product and Engineering, synthesizing complex field-level challenges and opportunities into actionable product roadmap initiatives., • Contribute directly to the core Taxbit platform by building modern, scalable solutions to complex platform-level problems, including new features and enhanced integration capabilities., • Write well-designed, well-tested, readable, and maintainable code for both client-facing tools and the core Taxbit platform., • Partner with designers, product managers, sales, and other engineers to solve the right problems for customers and the platform., • 5+ years of professional programming experience building cloud applications and services., • Demonstrated expertise as an API expert: building, consuming, and documenting scalable, resilient APIs and services., • Proven full-stack experience, with deep comfort across both modern web frontends and backend distributed systems., • Proven experience in a client-facing role, interfacing directly with external technical teams and business stakeholders., • Excellent analytical and problem-solving skills, with the ability to communicate complex technical ideas clearly to both technical and non-technical audiences., • Strong ability to set goals, manage competing priorities, and work autonomously in a fast-paced environment., • Passionate about code quality, continuous delivery, automated testing, and incident response., • Strong coding skills required in Typescript, NodeJS, and React, with experience in Python being a plus., • Experience with a variety of cloud storage solutions (SQL, Blob, Document, Search)., • Experience with AWS cloud infrastructure, DataDog, and GitHub CI/CD., • Experience with big data technologies like Spark/Iceberg/Hive/Kafka/Presto etc. is a plus., • Familiarity and interest in the emerging and evolving Web3 space., • Finds energy in talking to clients, understanding their needs, and designing solutions., • Ability to work in an agile environment and challenge yourself and your team to improve their ways of working., • A strong sense of teamwork and a passion for mentorship. The base salary range for this role is $140,000 - $200,000. Certain roles may be eligible for incentive compensation, equity, and benefits. Actual compensation will vary depending on various job-related factors, including, but not limited to, location, experience, level, and job qualifications. Benefits & Perks • Competitive cash compensation (based on experience), • Equity (RSUs), • Competitive benefits package, • A modern 401(k) plan that includes access to crypto, financial wellness benefits, low fees and more, • Hybrid working model: 3 days in-office, 2 days WFH/flexible, • Monday team lunches, snacks and drinks, • Discretionary Time Off - enjoy the flexibility to rest, refuel, and recharge, • Paid parental leave to bond with your child, • Fertility Benefit Corp Press Forbes America's Best Startup Employers Deloitte Top 10 Fast 500 Award Forbes FinTech 50 Recent Product Announcements Taxbit Announces AI Enabled Rules Engine for Crypto Accounting Taxbit Launches DAC7 Compliance Solution for Digital Marketplaces Taxbit Introduces The First Enterprise-Grade Legal Entity Support Solution for Digital Assets Taxbit Launches Innovative CESOP Reporting Solution for Digital Assets TB Thought-Leadership Pieces Fortune - Future of Finance NASDAQ - How Regulation and Technology Are Bridging the Gap Between Tradfi and Crypto Future of Finance Roundtable Event (Video) Coindesk - The Tax Implications of Sam Bankman-Fried's Conviction Fox Business - AI tools streamlining accounting workflows and opening capacity for innovation Bloomberg Tax - Is Anyone Paying State Taxes on Bitcoin and NFTs? (Podcast) Alliance/ Partner Announcements IRS Taps TaxBit to Audit Bulk Crypto Transactions Disclaimers • By submitting an application for this role, you certify that the information contained in the application is correct to the best of your knowledge. You understand that to falsify information is grounds for refusing to hire you, or for discharge should you be hired., • Employment with the Company is at will unless otherwise stated in a written agreement signed by the CEO of the Company. This means that either the Company or the employee can terminate the employment at any time and for any reason, with or without notice.

Job DescriptionCompany Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description Your Career With Prisma AIRS, Palo Alto Networks is building the world's most comprehensive AI security platform. Organizations are increasingly building complex ecosystems of AI models, applications, and agents, creating dynamic new attack surfaces with risks that traditional security approaches cannot address. In response, Prisma AIRS delivers model security, posture management, AI red teaming, and runtime protection. Our customers can confidently deploy AI-driven innovation while ensuring a formidable security posture from development through runtime. We are looking for a highly skilled and experienced Senior Principal Engineer to join the Prisma AIRS to play a crucial part in designing, developing, and optimizing robust, scalable, and high-performance backend systems that power our cutting-edge AI security platform. This role is located at our dynamic Seattle WA office - in office 3 days a week. This is not a remote role. Your Impact • Define and drive the technical vision and long-term strategy for multiple complex, highly distributed backend systems., • Lead the end-to-end architecture and design of innovative, cross-functional product initiatives, ensuring solutions are scalable, reliable, and secure for a global enterprise., • Influence technical and product roadmaps by collaborating with senior leaders, product managers, and engineers across multiple organizations., • Serve as a hands-on technical leader, providing mentorship and raising the technical bar for other senior and staff-level engineers, fostering a culture of engineering excellence., • Pioneer and evangelize best practices for software development, operational excellence, and architectural patterns that impact entire product lines.Qualifications Your Experience • Deep and proven experience (12+ years) of architecting, building, and launching complex, large-scale distributed systems with significant business impact., • Expert-level proficiency in modern Python or at least one strongly typed programming language such as Go, Java, or C++., • Deep expertise in modern cloud platforms (AWS, Azure, or GCP) with a track record of building highly scalable and resilient cloud-native applications., • Demonstrable experience operating mission-critical systems in production with stringent SLAs, including on-call leadership and incident response., • Extensive experience with Kubernetes and the cloud-native ecosystem, including a deep understanding of its internals and operational best practices., • Experience with machine learning (ML/MLOps), security, or data engineering would be a significant advantage., • Exceptional communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences., • Comfortable with ambiguity and possess the ability to drive clarity and alignment on technical direction in a fast-paced, highly collaborative environment. Additional Information The Team Our team is at the forefront of AI security, building platforms that act as a secure gateway for machine learning pipelines. We specialize in developing advanced model scanners and policy enforcers that integrate seamlessly with modern ML workflows to identify and mitigate threats. Our work focuses on providing security AI ecosystems to protect against real-world threats like vulnerabilities embedded in ML models , model tampering, and data exfiltration. Through these efforts, our team secures the entire AI lifecycle from end to end. If you are excited by the challenge of defending against model tampering, AI forensics, and malicious code at runtime, and want to help define the standards for AI safety and security, we encourage you to apply. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $212,000 - $240,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

Job Description Our Client A fast growing standards and insurance startup based in San Francisco, they have raised 15 million dollars in funding and are reinventing how enterprises adopt AI agents. Their two pronged model, which includes creating the industry’s first AI agent standard and pairing it with bespoke insurance coverage, gives AI companies a trusted pathway to certify their agents and reduces enterprise risk. By helping AI vendors earn credible certification and providing insurance protection against failures such as hallucinations, data leaks, or control breakdowns, they enable enterprise buyers to deploy AI with confidence rather than fear. With deep expertise in AI risk, insurance, and standards, they are building the essential “confidence infrastructure” that will support safe AI scale up. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that’s deeply embedded in our clients’ recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities * Lead end-to-end development of AI agent products and infrastructure, collaborating closely with the founding team. * Build and scale evaluation pipelines to detect AI agent failures in deployment (e.g., hallucinations, jailbreaks, brand risks, data leakage). * Design and implement the gold standard for secure, safe, and reliable AI agents. * Develop and maintain full-stack systems, including backend (Python, LangChain) and frontend (React, TypeScript) components. * Create monitoring tools, filters, and authorization frameworks to support AI agent builders. * Work on-site in San Francisco, contributing to a fast-paced, high-agency startup environment. * Ship products frequently, gather user feedback, and iterate rapidly to improve reliability and safety of AI systems. Qualifications * Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. * 1+ years of experience as an AI Software Engineer with active coding responsibilities. * Proven expertise developing AI agents and LLM-based systems (e.g., published research or work in a leading AI team). * Founding or early-stage startup experience, with demonstrated ability to own end-to-end product development. * Strong understanding of AI evaluation methodologies and deployment reliability standards. * Excellent problem-solving and communication skills with the ability to articulate technical impact in business terms. * Evidence of high agency, ownership, and execution velocity (e.g., promotions in <2 years, side projects, or rapid iteration). * Can work full-time on-site in San Francisco (5 days a week).

Job Description About the Role We are seeking a hands-on and detail-oriented eCommerce QA Engineer with deep experience across the Order-to-Cash (O2C) lifecycle. This role demands more than textbook testing — we need professionals who can think like end-users, understand real-world business flows, and validate every step of the customer journey, from catalog and cart to checkout, payments, invoicing, and revenue recognition. You will be responsible for ensuring the integrity, accuracy, and quality of complex transactional processes that power large-scale eCommerce platforms. Key Responsibilities • Design and execute end-to-end test strategies spanning the full Order-to-Cash flow:, • Product catalog, search, and pricing validation, • Shopping cart and checkout functionality, • Order placement, payment, and fulfillment, • Invoicing, taxation, refunds, and financial reconciliation, • Perform hands-on functional, integration, regression, and E2E testing across web, mobile, and backend systems., • Validate order orchestration, payment gateways, ERP/Billing integrations, and downstream O2C components., • Analyze complex business rules and design test cases that mirror real-world eCommerce and financial transactions., • Collaborate closely with Product, Engineering, Finance, and UAT teams to ensure accuracy across all stages of the customer and revenue lifecycle., • Identify and troubleshoot defects, documenting clear reproduction steps and root causes., • Apply innovative and practical test approaches, focusing on business impact and customer experience beyond standard QA checklists., • Support automation efforts and continuous testing initiatives across O2C modules.Required Skills & Experience, • 5+ years of experience in QA/testing with end-to-end eCommerce and Order-to-Cash process coverage., • Strong functional knowledge across:, • Catalog and pricing management, • Cart and checkout flows, • Payment processing and transaction validation, • Order management, fulfillment, and invoicing, • Credit, refunds, and financial postings, • Experience testing integrations with payment gateways, billing systems, and ERP platforms (e.g., Oracle BRM, SAP, NetSuite)., • Ability to analyze business workflows and validate data across multiple systems (front-end, API, and backend)., • Strong understanding of data validation, API testing, and transaction flow verification., • Familiarity with JIRA, TestRail, SQL, Postman, and automation frameworks (Selenium, Cypress, or similar). ygHxeYh8JT

On our team, you will be in the middle of it all – implementing functionality, architecting our system, squashing bugs, maintaining the health of our code, and continually growing as an engineer. At SoFi, we pride ourselves on the collaboration between Product, Design and Engineering and so you wi

Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, "How did we ever live without Coupang?" Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview Coupang Rocket Growth is a Coupang Fulfillment business that enables sellers to offer best-in-class delivery and post-purchase experience to their customers. With the Rocket Growth business, sellers’ products are delivered to customers via our world-class Rocket delivery network. Rocket Growth is the fastest-growing team in Coupang and has an exciting roadmap of products and features in the pipeline. Our mission is to provide Coupang sellers with the utmost convenience of selling and offer Coupang customers the best available selection and the lowest possible price. You will be working in a fast-paced environment along with a team of smart and passionate global engineers to design and implement various systems to meet the needs of the Rocket Growth business. You will also have direct ownership of new features for improving the Marketplace's scalability, reliability, availability, extensibility, and performance. We care about both delighting customers and building high-quality software, and we are looking for seniors with a proven record of accomplishment in designing and building large-scale distributed systems. What You Will Do • Work closely with the product team to define and prioritize features, • Make informed trade-off decisions between speed and technical debt for feature launches, • Scale successful products and features for widespread sitewide adoption Basic Qualifications • Strong problem-solving ability, • 5+ years of solid work with fundamental algorithms, system design, and distributed systems, • 5+ years of professional full-stack experience using modern programming languages such as Java, JavaScript / Typescript, Scala, Kotlin, C++, C#, etc. Preferred Qualifications • Bachelor's degree in computer science or computer Engineering, • Experience working on building complex software systems that have been successfully delivered to customers, • Experience communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy, • Experience influencing software engineering best practices within your team, • Hands-on expertise in many disparate technologies, ranging from front-end user interfaces through to back-end systems and all points in between, • Experience working backwards from the customer and delivering innovative, simple solutions. Pay & Benefits (Drafter: This MUST be included in the job posting based on US law. Please note that Washington State requires pay bands to be broken out by level and title, where a job posting could apply to multiple levels or titles. For example, if we advertise for a Software Engineer role where we could hire at Level 1, 2 or 3, we would need to include ranges for each of the three levels in the job level description.) Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $210K/year in our lowest geographic market to $250K/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits (Drafter: Please check with your team if any change on the benefit description) • Medical/Dental/Vision/Life, AD&D insurance, • Flexible Spending Accounts (FSA) & Health Savings Account (HSA), • Long-term/Short-term Disability, • Employee Assistance Program (EAP) program, • 401K Plan with Company Match, • 18-21 days of the Paid Time Off (PTO) a year based on the tenure, • 12 Paid Holidays, • XX weeks of Paid Parental leave, • Pre-tax commuter benefits, • MTV - [Free] Electric Car Charging Station General Description of Other Compensation "Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale. Recruitment Process and Others (Drafter: This is optional for US job posting) Recruitment Process • Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer, • The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances., • Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider • This job posting may be closed prior to the stated end date for application if all openings are filled., • Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process., • Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Privacy Notice • Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: ___ Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at ___. Job Requisition ID: R0067592

Job Description As a Forward Deployed Engineer (FDE), you’ll be the bridge between product/engineering and customers. You will embed deeply with users, translate real-world use cases into technical solutions, and ship production-grade systems powered by AI. You’ll own deployment complexity, influence product direction, and drive high-impact customer-facing work. Responsibilities • Partner with customers to scope, design, and deploy AI systems that address real business needs., • Build and integrate production-ready AI applications with customer infrastructure., • Develop and deliver compelling demos and prototypes that showcase the capabilities of our AI system., • Ensure reliability, safety, and performance of deployed AI agents in production environments., • Strong full-stack development skills (Python, JavaScript, or similar), • Customer-facing or client delivery experience, • Proven ability to thrive in startup-style, resource-constrained environments, • Fast learner who adapts quickly to new technologies and shifting requirements, • High ownership mindset; ability to work independently and drive projects to completion, • Excellent communication with both technical and non-technical stakeholdersPreferred, • Experience deploying LLMs or other generative AI systems, • Background in NLP, computer vision, or multi-agent systems, • Sales or pre-sales engineering experience in high-growth environments

Job Description This is a great opportunity to put both your engineering & cloud operations skillset to use. We are currently looking for a DevOps Engineer to deeply embed within our engineering team to guide and own the course of our existing and future infrastructure in the AWS and Azure environments. Responsibilities • Evaluate and implement technologies that improve efficiency, performance, and reliability, • Develop and deliver innovative solutions to empower and enable engineering teams, • Drive improvements in availability, reliability, and performance of core systems: both monoliths & distributed applications, • Build reliable systems at scale as an integrated feature team member, • Engage across multiple feature teams to create strong plans for technology servicing and investment, • Extensive production experience in Windows and *NIX environments, • Significant experience with at least one cloud provider (AWS, Azure), • Production experience with Kubernetes, including application design, • Experience with Infrastructure as Code techniques and practices, • Extensive knowledge of configuration management systems, • Experience with modern monitoring systems, • Knowledge and background with messaging integration patterns to support microservice patterns, • A sense of commitment to end-to-end product and service quality, completeness, and the resulting experience, • Good decision-making skills, conflict resolution, and follow-through with partners, • Bachelor’s Degree or higher in Computer Science or Computer Engineering, or a related field, or equivalent practical experience

Job DescriptionSenior Backend Engineer (Golang & AI Automation) Location: Seattle, WA (Hybrid) or Remote (US-based) Job Type: Full-time Salary Range: $140,000 – $180,000 / year The Opportunity EQL Edtech is exclusively recruiting on behalf of our partner client: a high-growth, seed-stage startup based in Seattle that is redefining the future of work. Imagine a world where complex professional workflows are automated simply by recording a screen. Our client is building the engine that makes this possible—transforming simple video inputs into fully automated, robust workflows using advanced AI. This is a "ground floor" opportunity. As a Senior Backend Engineer, you won't just be closing tickets; you will be the architectural right hand to the CTO. You will define how the platform scales, how the AI integrates with the backend, and how the infrastructure handles complex, event-driven tasks. The Mission: What You’ll Build You will be responsible for the nervous system of the product. Your code will turn abstract AI concepts into reliable, scalable, and secure software. • Architect the Core: Drive the end-to-end design and development of backend services, primarily using Golang (with some Python). You will prioritize high scalability and reliability for a system that never sleeps., • Build for Automation: Design and evolve APIs and integration logic. You will balance the startup need for rapid iteration with the engineering discipline required for robust, maintainable systems., • Own the Infrastructure: Take the lead on infrastructure-as-code using Terraform on AWS/ECS. You will make the critical decisions regarding performance, security, and deployment pipelines. We are looking for a builder who thrives in the ambiguity of a seed-stage environment. You don’t wait for perfect specs; you ask questions, propose architectural solutions, and ship. • Experience: 7+ years of backend engineering experience., • Tech Stack: Deep proficiency in Golang is essential. Proficiency in Python is highly preferred., • Infrastructure: Strong grasp of Infrastructure-as-Code (Terraform) and AWS cloud services (ECS, Lambda, etc.). Familiarity with modern CI/CD pipelines is a must., • Architecture: A proven track record of delivering large-scale APIs, microservices, or event-driven systems in a B2B SaaS environment. Experience with Temporal is a massive plus., • High Impact: You are joining at the seed stage. Your code and architectural decisions will directly shape the product and the future trajectory of the company., • Top-Tier Healthcare: Comprehensive medical (Platinum PPO), dental, and vision coverage—100% paid for employees, plus subsidized coverage for dependents., • Flexibility: A "best of both worlds" setup. Work fully remotely, or utilize the vibrant office space in Seattle if you prefer in-person collaboration., • Competitive Compensation: A salary range of $140k–$180k, commensurate with experience and location.

Job DescriptionAbout usToday’s financial system is built to favor those with money. Grid’s mission is to level that playing field by building financial products that help users better manage their financial future. The Grid app lets users access cash, build credit, spend money, optimize their taxes, and lots, lots more. Grid is a fast-growing team that’s deeply passionate about making a difference in the lives of millions. We’re solving huge problems and believe that every team member has a big role to play. Come join our growing team in our San Francisco office! The roleAmericans receive ~$400B in tax refunds per year. A tax refund is in essence an interest free loan to the government. The average American overpays their taxes by ~$3K per year. We plan to change that by being an AI enabled automated taxspecialist for the 80% of Americans that receive a tax refund. Our existing system has optimized tax withholdings for over 1M Americans so far, but we have plans to go much further. We’re adding a Product Engineers to our team to help monetize and scale our tax product (PayBoost). You'll work closely with business operations and the core services engineering team to deliver a product that scales and just works. Projectswill include an update to our AI architecture, a potential rewrite to separate the service from our monolith, updates to our existing data models, 99.99% reliability/uptime, and creating additional visibility into the core components for monitoring. The teamWe're focused on serving our users above all else all while building a robust business. To this end, Grid's team members experience high levels autonomy and ownership, and as a company we value curiosity, learning and growth. We work in-person in our San Francisco and Seattle offices. At Grid, everyone on the team is technical and hands on: You'll have the opportunity to design, develop and operate Grid's most mission-critical systems end to end. Unlocking scale and getting our customers one step closer to financial. The tech stackOur backend tech stack is based on GCP, Go, protobufs, BigQuery and MySQL. We have built our platform from the ground up to optimize for clean data sources, and we have made numerous investments into data warehousing, streaming analytics infrastructure and offline data cleanliness. As a result, we think Grid is positioned for efficient and powerful data science.What you will be doing • Backend Development: You'll be building product features end to end - domain models, business logic and API integrations that make our product just work for customers., • Deployment & Iteration: We practice a dynamic, data-driven approach to product development. As an product engineer at Grid, you'll build towards bold milestones in well-engineered, incremental releases., • Data Analysis: As a data-driven product, we have robust data pipelines and analytics infrastructure. To be successful at Grid, you'll utilize SQL and other analysis tools to evaluate product and system performance regularly., • Debugging Evented Systems: Grid's backend makes heavy use of pubsub. Testing and debugging complex state machines, in order to create a seamless experience for all users is key., • Shipping to Production: You'll have access to a rapid CI/CD process that enables you to ship to production on the daily. As an engineer, you'll own your implementations end to end and respond to production incidents as needed.About you, • Backend Software Engineer: Significant experience (5+ years) writing consumer-grade backend software, ideally in Go (golang) deployed on GCP., • Startup Person: You seek high growth opportunities and are constantly learning about the world around you. You feel at home with dynamic decision making and an iterative approach., • Experience with FinTech or other complex domains: End-to-end understanding of product engineering in an complex environment, such as financial services, health, insurance, etc., • Experience prioritizing customers and user experience: We're looking for people who make complicated things simple. Financial services tend to be unnecessarily complex by default. We aspire towards lightweight UX that's quick and fun for our users., • Experience with Data-oriented backends: Proven experience in evented systems, data acquisition (screen scraping, crawling), data normalization and API integration is a plus., • Autonomy and Initiative: Ability to work independently and take ownership of projects, showcasing a proactive approach to identifying key leverage points for data products., • Curiosity and Optimism: People who are constantly asking why the world around them work the way it does, and who have the will to change it., • Self Starter: Confidence to prioritize work and delivery demonstrable results on a tight cadence.

A leading technology company in Seattle seeks an experienced Machine Learning Engineer to design and productionize advanced ML models for dynamic supply pricing.This role involves working on large-scale systems serving billions of trips, collaborating with engineers and product managers to solve com

AWS EC2 owns the design, planning, delivery, and operation of all AWS server instances. In other words, we’re the people who keep the cloud running. We support all AWS compute, storage, accelerator servers and 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 hardware engineers, software engineers, system engineers, technical program 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. Key job responsibilities AWS hardware Engineering is looking for a customer-obsessed, team-driven technology leader to take our engineering of server hardware and software to the next level. As a cloud server performance engineer, you’ll work on Amazon’s hardest problems, building high quality, architecturally sound systems that meet or exceed the high performance bar, with focus on high speed interconnects, including PCIe. You will interact with internal and external interdisciplinary teams of engineers to design, develop, validate, launch, monitor and troubleshoot high throughput interfaces at scale. You will be on the team that is responsible for PCIe topology for the EC2 servers, including retimer and switch firmware and telemetry. This is a fast-paced, intellectually challenging position. At AWS we are changing the industry and want individuals who are ready for a challenge to reach beyond what is possible today. About the team " Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.“ BASIC QUALIFICATIONS- 5+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience • 5+ years of non-internship professional software development experience, • 5+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience, • 5+ years of systems design, software development, operations, automation, and process improvement experience, • 5+ years of experience identifying & root-causing hardware/software system issues in large scale systems, • 5+ years of experience writing and implementing functional and performance tests for manufacturing and in field coverage, including telemetry, • Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers, • Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy, • Experience communicating to senior management and customers verbally and in writing, • 5+ years of experience with high speed interconnect, including PCIe, • 5+ years of experience with CPU and memory architectures, system performance, security and troubleshooting, • 5+ years experience with statistical analysis using large scale data Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

View IT Engineering as requiring product engineering rigor. We're seeking an experienced engineer with deep expertise across IT domains—from endpoint management and identity systems to cloud infrastructure, networking, and SaaS security—who can help design, build, and maintain the tools and proc

Job Description Field Service Bus Technician Seattle We're leading the transition to zero-emission mobility. Alexander Dennis is a global leader in the design and manufacture of double deck buses and is the UK’s largest bus manufacturer. At Alexander Dennis, and across NFI and our family of brands, we are helping to save the planet. Through our Sustainability Pledge, which guides our daily actions and long-term planning, we are passionate about creating a better product, a better workplace, and a better world. To learn more about our Environmental, Social, and Governance (ESG) journey check our website. Our diverse, dynamic and resourceful team members embrace challenges every day which makes us the successful international company that we are. Are you ready to embrace the challenge? Come build the future with us and apply directly to your dream job! POSITION SUMMARY: Are you ready to take on a dynamic role that puts you at the heart of our commitment to exceptional customer service? As a Field Service Engineer, you'll provide hands-on supervision and support to ensure vehicle repairs are carried out efficiently, whether at customer workshops, vendor facilities, or on-site at customer premises. This role requires flexibility, as you'll work within a 24-hour operational environment, including shift work, overtime, and extensive travel. If you're a problem-solver with a passion for engineering excellence, we want to hear from you! WHAT YOU WILL DO: • To provide after sales support to customers with ADL product, • To supervise and support warranty repairs and campaign modifications., • To co-ordinate repairs with other Field Service Engineers, contractors, suppliers and agents, • To help identify and report reliability, performance, and maintenance issues that affect customer perception of the ADL product, • Support in the communication to customers on progress of repairs, • To undertake the prompt completion of work records and timesheets for all warranty repairs including parts used., • To provide product familiarisation and technical training to customers maintenance staff and parts personnel., • To fast-track issues of high customer concern to Overseas Service Manager and provide daily availability reports., • To diagnose and assist in repair of Mechanical, Electrical and Body related faults, • This role will involve training individuals and providing technical advice on deep diagnostics and repairs on latest generation vehicles, both standard driveline, EV, and Hybrid buses., • Customer satisfactions by ensuring vehicles are promptly returned to service. WHAT YOU NEED TO BE SUCCESSFUL: • Background in vehicle repair., • Detailed knowledge of ADL products and procedures. Certified and licensed Mechanic, • Minimum 5 year’s experience on ADL Enviro range of low emission buses or similar., • Communicative skills in written, oral, and electronic., • Experience of vehicle maintenance procedures and operation., • Have a high level of electrical knowledge and experience, coupled with strong fault diagnostic capabilities, • Hold a Full Valid Driving Licence and ideally hold a current PCV or Commercial Driving Licence, • A good level of computer literacy is required to operate laptop diagnostic equipment., • As the position will be “field based” the successful applicant will need to be self-motivated and able to communicate with Customers and Colleagues at all levels., • A good understanding of modern EPA diesel engines and exhaust gas processors including DEF injection, pneumatic braking systems including anti-lock, automatic gearboxes, multiplex electrics using J1939 protocol and the principles of electricity., • Be able to identify and describe the function of electrical components, read circuit diagrams and carry out fault tree diagnosis. Must have own tools., • Multi Skilled – be able to carry out all aspects of passenger vehicle repairs including. body, electrical and mechanical systems., • Self-motivated and disciplined, • Dependable, Punctual and reliable, • Smart Appearance, • Prepared to work overtime and out of hours as required, • Excellent self-organising and planning skills. WHY JOIN OUR TEAM: • Generous salary package – we reward our people at the level they deserve., • A 40 hour working week, with flexible working options, giving you that much needed work/life balance., • Ongoing employee development through a variety of in-house training initiatives along with tuition subsidies for courses at outside institutions., • Annual leave entitlement which increases with tenure., • 401(k) plan with company match to help you save for the future. OUR WHY: We move people. The world's most precious cargo. We are driven by our purpose: we move people. Our vision is to lead the evolution of sustainable on-road mass transportation and mobility and our mission is to design, deliver, and support market-leading bus and motor coach solutions that are safe, accessible, efficient, and reliable. NEXT STEPS: If this sounds like you, and you’re interested in coming ‘aboard’, then we would love to hear from you. Please complete our online application form and attach your CV! We care deeply about being inclusive and we encourage applications from people with diverse backgrounds and experiences. If you are an internal applicant, you have a responsibility to inform your current line/department manager and local human resources representative before applying for the role. Due to the volume of vacancies and applications, we would prefer that you submit your application online. If however, you require an alternative method of applying, please give us call on +44 1324 621 672 or send an email to IND-M

Job Description About Us: Gable.ai is a Seattle-based startup revolutionizing the data industry. Through our data communication, change management, and collaboration platform, we empower developers to build and manage data assets, bridging the gap between data producers and consumers to upscale data quality. Fresh out of stealth mode and backed by prominent venture partners, our mission is to reshape data management by fostering collaboration and innovation. Join us in transforming the landscape of the data industry! Responsibilities: As a Staff Software Engineer, your primary responsibilities will be to own design and delivery of full stack product features. A key component of your work will be to scope out and build the best-possible data solutions to green-field problems at scale. This includes working directly with customers to define the problem, shortlisting tools and technologies, implementing and validating production grade software, evaluation, and deployment. You'll build key product features with direct impact on company success. You'll work closely with customers to understand their problems and requirements. You'll focus on generalizing your work and building abstractions that improve a variety of integration with common data stack oriented technologies. Requirements • You have minimum 8 years of writing production grade software, ideally with experience at a B2B SaaS company, • Experience with a modern object-oriented language such as Python, Go and Java, • Strong experience with React and have led Frontend projects, • You’re excited about being cross-functional and owning the lifecycle of building novel solutions to complex problems — from development to deployment., • You stay up-to-date with the latest developments in your area of interest in both software development and the data space. You’re comfortable reading technical papers and documentation, and reproducing the results in a production environment., • You’ve previously worked with a variety of backend technologies, including Infrastructure as Code (Terraform/Pulumi), relational databases and NoSQL databases, and modern API frameworks., • You’re really excited about solving the biggest challenges in the modern data stack and building applications that leverage these technologies for solving complex data problems., • You enjoy fast-paced environments and exhibit a high degree of ownership and self-sufficiency. Unstructured environments are exciting to you because they represent opportunities for growth and leadership. Tech Stack: • TypeScript, • Python, • Node, • Postgres, • AWS, • Snowflake, • Be part of a pioneering team that is redefining the data industry., • Work on cutting-edge technology with the opportunity to make a significant impact., • Collaborate with a talented and passionate team of engineers and industry experts., • Enjoy a dynamic, fast-paced, and supportive work environment., • Competitive compensation package and benefits. If you are passionate about the intersection of software engineering and data, and eager to contribute to the future of data management and collaboration, we would love to hear from you. Gable.ai is an equal-opportunity employer and encourages applications from candidates of all backgrounds and experiences.

Job DescriptionIf this role is still posted then we are still recruiting and needing applications.& Position:& Full Stack EngineerSalary Range: $130,000 - $195,000, depending on experienceExperience Required: 6+ yearsJob Location: Arlington, VAModality: On-Site only. & & & & & & & & & Must live within commuting distance of Arlington, VA. or be willing to relocate. & & & & & & & & & Relocation is required but not required prior to starting.Relocation Assistance: YesUS Citizenship Required: Yes About the Role: Our client is hiring a Full Stack Engineer who loves building products from start to finish. You will shape features, architect scalable systems, and bring clarity to complex problems through thoughtful design and clean code. This is a hands-on role where your ideas and ownership will directly shape the product. We are looking for someone who thrives in a fast-paced environment, values collaboration, and enjoys solving problems that have not been solved before. What You Will Do • & & Own projects from concept to launch, including design, architecture, and implementation., • & & Work across the entire stack, from building APIs to developing intuitive frontends and component libraries., • & & Design system architecture that scales and supports product growth., • & & Build tools and visualizations that make complex data easy to understand., • & & Write reliable, maintainable, and well tested code using TypeScript, JavaScript, React, and Node.js., • & & Collaborate with teammates and users to understand workflows and deliver impactful solutions., • & & Take initiative, share feedback, and help define technical direction. Requirements • & & 6+ years of experience as a full stack engineer, preferably in a startup or high growth environment., • & & Strong knowledge of TypeScript, JavaScript, React, and Node.js., • & & Proven frontend development experience., • & & Experience with system design, architecture, and software best practices., • & & The ability to think critically about tradeoffs and build for long term maintainability., • & & Clear communication skills and a collaborative approach to teamwork., • & & A positive, low ego attitude focused on shared success. Nice to Haves • & & Experience working at large scale technology companies such as AWS, Capital One, or similar., • & & Background in building AI or machine learning enabled products., • & & Experience developing internal tools or platforms that empower other engineers. Additional Expectations • & & US Citizenship is required due to U.S. Department of Defense contracts.

Job Description About Us Chips are at the center of today's tech-driven world. But how we design them has not changed in decades, while their complexity and specialization have skyrocketed due to increasing performance demands from applications like AI. We want to change that. Our team is small, technical, and fast-moving. We’ve built and shipped at the intersection of AI, EDA, and systems software, with deep roots at companies like Qualcomm, Nvidia, Google, Meta, and the Allen Institute for AI. We’re backed by top investors including Khosla Ventures, Cerberus, and Clear Ventures, and already deployed with 10+ innovative customers—from Fortune 100s to cutting-edge AI silicon startups. About This Role This role offers a unique opportunity to be part of the founding team at ChipStack, where we are reinventing how modern silicon chips are designed. You will work alongside highly experienced chip designers who have built complex chips, ML scientists who have trained LLMs at scale, and top-notch infrastructure and software engineers. You will get to leverage your experience building ML and data infrastructure and apply it to some of the hardest problems in chip design. About You You want to be at a startup because you love to be at the center of all the dynamism that a startup offers. You are willing to put in the hours and go the extra mile to ensure every customer has an exceptional experience. You are self-motivated with a sense of urgency and can operate independently without much guidance. You are not afraid of difficult problems and enjoy venturing into areas you have not explored before. This Role We’re looking for a strong, experienced ML Infrastructure Engineer to join our founding team. We are seeking someone with experience designing and scaling ML infrastructure and training pipelines. You’ll be responsible for building the core infrastructure that enables training, fine-tuning, evaluation, and deployment of LLMs across cloud and on-premise environments. Your work will directly impact product capabilities and speed of iteration. What's needed * 5+ years of experience in ML infrastructure or adjacent roles * Deep expertise in Python and experience with training frameworks like PyTorch or TensorFlow * Strong systems engineering skills and experience with distributed training, data pipelines, and performance optimization * Experience deploying ML models to production (REST APIs, batch jobs, streaming pipelines) * Proficiency with cloud platforms (e.g., GCP, AWS) and containerized systems (Docker, Kubernetes) * Experience managing GPU/TPU workloads efficiently * Good communication skills and the ability to work directly with engineers and customers * Prior experience training or fine-tuning LLMs * Experience setting up observability, monitoring, and evaluation pipelines for ML models What's good to have * Exposure to chip design fundamentals (via coursework or elsewhere) * Experience at an early-stage startup Our Culture Challenge status quo: We are innovators who can challenge the status quo and push forward our vision of the world. Strong opinions, loosely held: We are low on ego, but high on collaboration. We are okay to be wrong and are always open to learning. Ship fast, ship quality: We ruthlessly prioritize what matters. We build a few things, but at lightning speed with high quality. Proud of our craft: Attention to detail is in our DNA. We take pride in what we build and ensure they exceed the high standards of the semiconductor industry.