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Get AI-powered advice on this job and more exclusive features. This range is provided by Prime Team Partners. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $150,000.00/yr - $175,000.00/yr Senior Software Engineer Location: Hybrid (1-2x a week onsite) in Bellevue, WA Position Type: Full-Time Compensation: $150K-175K, DOE We are seeking a skilled Senior Software Engineer to lead the modernization of legacy systems while driving innovation in new solutions. This role emphasizes hands-on development, system optimization, and collaboration with cross-functional teams. This company is experiencing rapid growth with a unique product and innovative solutions for their customers. Work on meaningful, mission-driven projects in a collaborative environment with opportunities for autonomy, growth, and leadership. Responsibilities: Modernize and refactor legacy systems for scalability and performance. Design and implement new features and integrations. Work across the stack, focusing on .NET and diverse modern technologies. Solve complex technical challenges and ensure high code quality. Collaborate with stakeholders to align solutions with business goals. Qualifications: Experience with cloud platforms (AWS, Azure, or GCP), containerization, and database optimization. Strong problem-solving and system design skills. 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. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionInformation Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Prime Team Partners by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Software Engineer" roles. Seattle, WA $99,000.00-$124,200.00 3 days ago Seattle, WA $99,500.00-$200,000.00 1 day ago Redmond, WA $84,200.00-$180,400.00 6 days ago Seattle, WA $99,500.00-$200,000.00 1 day ago Front End Software Engineering II, Slack Seattle, WA $157,600.00-$236,500.00 2 days ago Seattle, WA $100,000.00-$720,000.00 4 days ago Seattle, WA $117,760.00-$147,200.00 1 week ago Seattle, WA $140,000.00-$180,000.00 1 month ago Seattle, WA $110,400.00-$138,000.00 2 days ago Seattle, WA $90,000.00-$170,000.00 3 days ago Software Engineer, Research Infrastructure (University Grad) Seattle, WA $140,000.00-$180,000.00 1 month ago Bellevue, WA $157,000.00-$230,000.00 1 week ago Seattle, WA $99,500.00-$200,000.00 2 weeks ago Software Development Engineer - 2025 (US) Seattle, WA $99,500.00-$200,000.00 1 week ago Redmond, WA $99,500.00-$200,000.00 3 days ago Seattle, WA $150,000.00-$158,000.00 7 hours ago Bellevue, WA $157,000.00-$230,000.00 1 week ago Seattle, WA $150,500.00-$269,200.00 2 weeks ago Seattle, WA $90,000.00-$180,000.00 1 week ago Seattle, WA $98,900.00-$228,700.00 1 week ago Seattle, WA $150,000.00-$175,000.00 2 months ago Bellevue, WA $157,000.00-$230,000. hours ago Seattle, WA $91,158.00-$139,222.66 1 week ago Seattle, WA $140,000.00-$180,000.00 1 month ago Redmond, WA $100,600.00-$215,400.00 2 days ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Savvas Learning Company is a global education company that produces award-winning learning solutions that empower educators and engage students with the highest quality content. Recognized as an industry leader, we serve millions of K-12 learners with innovative, student-centered educational programs that turn today's classrooms into active learning environments. By embracing technology, personalized learning, and immersive experiences delivered across multiple platforms, we design our learning solutions to be more accessible and relevant to each student. Our award-winning, high-quality instructional materials span every grade level and discipline, from evidence-based, standards-aligned core curricula and supplemental and intervention programs to state-of-the-art assessment tools and the industry's most innovative portfolio of college and career readiness solutions - all designed to meet the needs of every learner. We are looking for engineers who are passionate about building innovative applications of the highest quality and demonstrate ownership of the product area assigned to them. Key Responsibilities: Work closely with the product management team to ensure we're building the best products. Ability to comprehend business requirements, map them to technical requirements, and decompose them into estimated stories and tasks. Perform research, analysis, design, and implementation, and provide effective solutions for short-term and long-term needs Evaluate new technologies and software products to determine the feasibility and desirability of incorporating their capabilities into the platform. Deploy and manage cloud-based services on AWS, leveraging services such as CodeBuild & Pipeline, Lambda, ECS, S3, RDS, DynamoDB, and API Gateway. Ensure that code adheres to strict standards for accessibility, security, object-oriented practices and performance Optimize backend processes for performance, scalability, and cost-efficiency. Write and execute both unit and integration tests Ability to debug identified issues and track down root cause of the issue across the technology stack Mentor other team members and developers Effectively engage and positively contribute within a well-functioning offshore team, while also providing strong leadership during onshore hours. Qualifications Master's or Bachelor's degree in Computer Science or equivalent experience, with strong fundamentals and problem solving skills. 5+ years experience in software development roles Expert knowledge and capabilities in Java 8+ development, SpringBoot, RESTful APIs, Java Application Servers, HTML / CSS. Strong understanding of microservices design principles and best practices. Hands-on experience with AWS services, such as ECS, Lambda, DynamoDB, RDS, and S3. Experience with containerization tools like Docker, CDK and orchestration using AWS Fargate Strong knowledge of JavaScript technologies such as Angular and Node.js Experience with unit testing frameworks such as JUnit, Mockito, Jasmine. Experience with SQL and relational database design. Experience building and deploying services in AWS Strong problem-solving skills and ability to troubleshoot distributed systems/services. Preferred Qualifications Experience with learning services technologies such as the SCORM object reference model, IMS QTI and IMS LTI standards, and any Learning Experience with with Git is a plus Knowledge of GraphQL a plus Knowledge of UML and design patterns Exposure to monitoring and logging tools like CloudWatch, Datadog Experience writing modular code in an agile environment with CI/CD Knowledge of concepts and standards such as SOLID, Dependency Injection, AOP, JSON. Understanding of Cloud Architecture and experience working with AWS resources AWS certification is a plus (Cloud Practitioner or higher) Ability to effectively use AI to accelerate software design and implementation ABOUT SAVVAS We are proud to be recognized as a Top Workplace. Our employees are our most valuable asset, and we are committed to creating a work environment that promotes their growth, well-being, and success. We develop learning solutions that empower educators and improve student outcomes thanks to our team's passion, creativity, and dedication. TOTAL REWARDS We are committed to the health and well-being of our employees and their families. Our focus on employees is evident in our comprehensive and competitive total rewards package, which prioritizes what matters most to them. Our competitive compensation package is designed to reward your success with a pay-for-performance model. This ensures that hard work and contributions are recognized and rewarded. With our 401(k) match and immediate vesting, employees can start securing their financial future without any delay. Our benefits package is designed to promote a healthy work-life balance and overall well-being. Paid time off and holidays allow you to unplug, relax, and recharge fully. Starting on Day One, we offer comprehensive health benefits, including medical, dental, and vision coverage, ensuring that health is a top priority without a financial burden. At Savvas, we recognize the importance of emotional and mental well-being, both in our work environment and in our personal lives. That's why we are committed to providing resources to support well-being. Savvas Learning Company is an Equal Opportunity Employer. Savvas Learning complies with all applicable federal, state, and local laws regarding recruitment and hiring. Savvas prohibits discrimination against individuals based on race, color, religion, national origin, sex, age, disability, and other protected group status. We strive to create a fair and inclusive workplace where everyone feels valued and respected. Learn more about your EEO rights as an applicant. Savvas Learning is an affirmative action employer and participates in E-Verify. Know Your Rights Notice to California Applicants: Information collected and processed as part of your Savvas Careers profile, and any job applications you choose to submit is subject to Savvas' California Applicant Privacy Notice.

Headquarters: San Francisco URL: We are looking for a Software Engineer who wants to be an impactful part of a small team looking to change the way technical hiring is done. In this role, you will be an integral part of our Product Engineering team and will drive features with immediate business impact to our core products: Assessments, Interviews, and Learn. You'll be a key member of the team that builds and maintains our identity and authentication systems, tying all of our products together. To learn more about the kinds of projects we work on, check out our Engineering blog! Some noteworthy projects include: Why we moved from MongoDB & Meteor observers to Redis What we learned when 10,000 users hit our platform at once How to avoid issues with your HTML email formatting Day-to-Day Contribute to building product features across the full stack (from the front-end to the back-end to separate microservices) Develop clean and maintainable code, with an emphasis on quality and craftsmanship Conduct code reviews and collaborate with your peers Lead technical design discussions on features where you're able to lend your expertise Basic Qualifications At least 4 years of professional, full-time software engineering experience Clear and effective communication skills Drive and initiative for getting things done Experience with TypeScript/JavaScript (browser, Node, or both) Available to work full-time. Candidates must be based within GMT-GMT+6 timezones. Bonus Points for the Following Experience with any part of our stack: React Node MongoDB GraphQL Experience with SSO, SCIM or RBAC. Any experience in a related industry, including assessments, HR tech, or education. To apply:

Senior Fullstack Engineer - SF Bay area (Hybrid/ 2- 3 days onsite) Up to $180K - $230K + Equity Get AI powered advice on this job and more exclusive features. Base pay range $175,000.00/yr - $230,000.00/yr TogetherWeTech is hiring a Senior Fullstack Engineer who thrives at the intersection of product, engineering, and experimentation. You'll have the opportunity to actively shape technical solutions, influence product direction, and contribute meaningfully to all aspects of our engineering culture. The company was founded by a diverse group of creative technologists from teams like Google Creative Lab, and Samsung's innovation Think Tank Team. We're redefining Enterprise AI Agents (Robotic Process Automation) and Intelligent Document Processing (IDP), developing the necessary tooling and infrastructure to incorporate the advancements of AI into practical, real world applications. What you'll do: Collaborate with our forward deploy team to understand how customers interact with the company's platform today, and use those learnings to bolster our flagship workflow management product. Build interfaces that use cutting edge computer use models in real world applications. Develop beautiful and intuitive UX interfaces which abstract away complex business automation processes and create a seamless experience for non-technical users and engineers alike. Influence our engineering practices, shape product direction, and contribute to building a world class company culture. Your toolbox: Hacker mindset - you know when to ship out functional v0 by any means necessary Experience building with modern web frameworks (Next.js, Svelte kit, React) and extensive experience working with REST APIs Robust background building complex architectures from the ground up, ranging from hacked together prototypes to scalable enterprise solutions. If you are a passionate and an experienced Senior Fullstack Engineer looking to make a difference in a fast paced and innovative environment, we would love to hear from you! Seniority level Mid-Senior level Employment type Full-time Industries Staffing and Recruiting Inferred from the description for this job Medical insurance Vision insurance Paid paternity leave Paid maternity leave We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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 a Senior Software Engineer to join our software engineering organization. In this role, you'll work as part of a skilled, collaborative team to build and maintain solutions for the Post Order/Order Management team. You will play a crucial role in the Xometry platform, ensuring the reliability, scalability, and security of our services. Responsibilities You will be responsible for designing, coding, testing, and releasing software Reading, writing, and reviewing code written in HTML, Typescript/Javascript/React, Python, and Rust Close collaboration with other engineers and product managers to become a valued member of an autonomous, cross functional team Operational responsibility for the services that are owned by your team, including deploying services into an AWS and kubernetes environment and taking part in an on call rotation Work in an environment that supports your individual growth Qualifications Required: 5+ years of experience in a fast paced technical, problem solving environment as a full stack software developer Required: Demonstrable understanding of software engineering fundamentals Required: Knowledge of HTML, CSS, DOM web programming Required: Knowledge and demonstrated experience in at least two of React, Python, Typescript Desired: Experience with build and testing technologies using one or more of the following Git/Github actions, GitLab Required: Experience with software engineering principles related to security, scalability, asynchronous programming and transactions Desired: Demonstrated knowledge of principles of service oriented architectures and ability to lead efforts in defining and implementing a service strategy Desired: Experience with relational and/or NoSQL databases with understanding of Normalization/Denormalization, Constraints, Transactions, Replication, and Sharding Required: Attention to detail, good work ethic, ability to work on multiple projects simultaneously, and good communication skills Location: Boston, MA Seniority Level: Mid Senior level Employment Type: Full time 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.

About the Job At Northwestern Mutual, we strongly believe in internal growth and career development. We're so excited that you are interested in growing your career with us! CLR software engineering team at Northwestern Mutual under Field Career area of Career Distribution is responsible building high-quality modern applications used to help our clients service their products. We are seeking a strong senior full-stack software engineer skilled in Java, Node and ReactJS. What You'll Do Translating business and technical requirements into solutions Design, develop and maintain full-stack applications using Java, NodeJS and ReactJS. Monitoring and troubleshooting applications, services, and systems for performance and issues. Demonstrated critical thinking, ownership mentality and continuous learning. Design and build out solutions for systems via enterprise AWS platform. Providing technical leadership, mentorship, and documentation to other members of the team. Partners with business functions and product management to define, determine, analyze, document and communicate the business requirements and priorities for our solutions. Works with application and technical experts on the solution design, implementation, support, maintenance and enhancement of the information systems utilizing agile methods. Identifying, establishing, and sharing standards and best practices for team. Utilizes working relationships across teams within their division. What You'll Bring to the Role Bachelor's Degree or equivalent experience 3-4 years of extensive REST API development experience using Java with Sprint Boot. 3-4 years of strong experience with NodeJS and ReactJS in a full-stack environment. 3+ years of experience working with modern engineering tools, languages and practices. Modern cloud environment experience. Preferably with AWS Cloud platform, Docker, and Kubernetes. Experience creating unit and integration tests using Java, NodeJs and JavaScript testing tools. Experience in Demonstrated critical thinking, ownership mindset and continuous learning. Advanced skillset in one or more technical platforms (Java, NodeJs, ReactJs). Ability to perform peer reviews on code and design. Solid understanding of design patterns and architecture Experience with AWS technologies and services Experience with Dev Ops, specifically with the AWS tech stack and GitLab CI pipelines. Experience as a mentor, tech lead or providing technical mentorship to group of engineers. Experience in BPM product development is (Like Flowable, Camunda, Activiti , Unqork or Pega)is bonus. Experience in financial services or similar regulated industries is plus. Compensation Range: Pay Range - Start: $108,160.00 Pay Range - End: $162,240.00 Geographic Specific Pay Structure: Structure 110: $118,960.00 USD - $178,440.00 USD Structure 115: $124,400.00 USD - $186,600.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Release Management (NM) - Intermediate, Technical Problem Solving (NM) - Intermediate, Application Security (NM) - Intermediate, DevOps (NM) - Intermediate, Cloud Technology (NM) - Intermediate, Cross Functional Partnering & Planning (NM) - Intermediate, IT Strategy (NM) - Beginner, Data Literacy (NM) - Intermediate, Strategic Thinking (NM) - Intermediate, Customer Centricity (NM) - Intermediate, Analytical Thinking (NM) - Intermediate, Business Application (NM) - Intermediate, Software Problem Solving (NM) - Intermediate, Learning Agility & Critical Thinking (NM) - Intermediate, Root Cause Analysis & Decision Quality (NM) - Intermediate, Adaptive Communication (NM) - Advanced, Software Development (NM) - Intermediate, Application Performance Management (NM) - Intermediate, Coaching & Mentoring (NM) - Beginner FIND YOUR FUTURE We're excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging. Flexible work schedules Concierge service Comprehensive benefits Employee resource groups PandoLogic. Category:Technology,

Company: One of our consumer AI investments is hiring an ML Infrastructure Engineer. The founding team helped build iconic consumer products at Pinterest, Lyft, Whatnot, Grubhub, and others. We led the Seed round, and the company is finalizing a Series A with another tier-1 VC. Team size: 20+ (and growing) The opportunity: You'll be an early ML Infra hire helping scale training and inference systems that directly power a consumer product. This is a hands-on role with real ownership: reliability, performance, cost, and developer velocity. What you'll do: Build and operate large-scale ML infrastructure for training and inference (GPU compute, orchestration, model serving) Own core systems for data and feature pipelines, model artifacts, experiment tracking, and evaluation Improve observability and reliability across ML and production systems (monitoring, debugging, incident response, SLAs) Drive efficiency across the stack (latency, throughput, cost, capacity planning) Partner closely with researchers/ML engineers/product engineers to unblock shipping Role (key traits): 3+ years building large-scale distributed systems infrastructure; 2+ years building modern ML systems in industry: ML training and inference systems, large-scale distributed infrastructure, GPU-backed compute, Kubernetes and cloud infrastructure, production reliability, Python + a systems language, PyTorch or TensorFlow BSCS or equivalent (MSCS preferred) Strong coding and systems fundamentals (production-grade engineering, not just prototypes) Good fit for this role if you have: Owned production ML training and/or serving infrastructure end-to-end (not just model development) Experience with distributed compute and data systems (scheduler/orchestration, storage, streaming/batch, reliability) Comfort operating systems in production: on-call mindset, instrumentation, performance tuning, cost discipline Built internal platforms that improved ML developer velocity (reusable pipelines, tooling, paved roads) Enjoyed ambiguity while moving quickly with a small team, and you like building "the system" as much as "the model" Not a good fit for this role if you're primarily: Focused on research or model architecture work and don't want to own production systems Looking for a role with minimal on-call/ops responsibilities or limited accountability for reliability Experienced only with notebooks/prototypes and not with production-grade infra and debugging Targeting more specialized scope rather than broad ownership across the ML stack About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Figma, Rubrik, Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, among others. More can be found about us here: And, as full-time, salaried employees of Greylock, we provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide). Please note: We are not recruiting for any roles within Greylock at this time only for openings within our portfolio.

Contra is building the world's first professional network for independent creatives and the companies that hire them. We are commission-free, global, and focused on enabling the future of flexible work. Alongside our network and marketplace, we're launching new product lines including Contra for Companies, Contra Ads Network, and Creative RLHF & Evaluation Services for AI labs and creative tool companies. We've raised over $51M from leading investors like NEA, Unusual Ventures, and Cowboy Ventures-and we're just getting started. What you'll do: Build end-to-end features in our TypeScript, GraphQL, React monorepo, including AI capabilities (LLMs, embeddings, vector search, evals) Ship polished AI-driven user experiences that delight users Contribute to test suite, RFC process, code reviews, and cross functional product development Maintain code quality, eliminate technical debt, and improve performance What you need: Strong understanding of modern LLM systems, products and workflows Experience building performant, scalable systems with TypeScript, React, GraphQL Excellence in independent problem solving with high standards for quality Ability to thrive in fast paced, remote environment with strong communication skills Our Stack: Frontend: React, Relay, PandaCSS Data: Airbyte, dbt, Google BigQuery Testing: Playwright, Vitest AI: OpenAI, Cursor, Supermaven, CodeRabbit (for code reviews - it's actually great!) Total Comp: Home Office Budget We will provide you with a company laptop on your start date Interview Process Intro Call with Recruiting Team ( minutes) Interview with CTO & Co Founder (30 minutes) Technical Interview with Engineering Manager (60 minutes) Culture & Cross Functional Interview (40 minutes) Interview with CEO & Co Founder (30 minutes) Note: Contra communicates with applicants domains only. We never ask for money from potential employees. For the latest job postings, visit .

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Release Evaluation org ensures that each version of the Waymo Driver is safe before it hits the road. We build automated pipelines to solve the long tail of rare and exceptional scenarios in autonomous driving, looking for needles in a haystack under both time and resource constraints. Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines. You will: Develop importance sampling techniques that enable our evaluation pipelines to deliver better signals with fewer resources. Find signals in our logs and simulations that might help us to more efficiently discover rare and important events. Build systems that systematically optimize multiple objectives under resource constraints. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. Champion code health and best practices in a large and complex code base. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area. Fluency with probability and statistics. Strong self-motivation to navigate complex systems and pursue open-ended problems to completion. 2-3 years of experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL. Performing statistical analyses. Building data processing pipelines. Writing, reviewing, and merging code following industry standards for code health and maintainability. We prefer: Experience programming in C++. Experience developing and evaluating sampling methods. Experience designing, training, evaluating, and applying ML models. Experience working in the AV industry. PhD in a quantitative field. Salary Range $170,000 - $216,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's commercial service is up and running in multiple cities, with ambitious plans to expand dramatically in the coming years; the associated infrastructure is in an early stage and requires significant investment for Waymo to grow into a high scale, world class service. Increasing demand for Waymo's ride hailing service will drive evolution of our systems, providing an opportunity rich environment to solve hard, ambiguous, high-impact, cross functional problems. Team: Fleet Management Project: Workshop management; focused on planning and executing vehicle maintenance and uptime software. In this hybrid role, you will report to an Engineering Manager. You will: Design, develop, test, and optimize Angular applications using Typescript and modern development techniques. Build and evolve mission critical tools and systems that allow Waymo to scale and serve new markets. Collaborate with Product, UX, and other engineers to design and develop internal user facing products. Ship solutions to novel problems that arise in a fast paced environment. collaborative - work across team boundaries cross functional - work with PM, UX, legal, operations, or other non engineering roles independence / leadership - take ownership and drive efforts to completion You have: Bachelor's degree in Computer Science or equivalent practical experience. 4+ years of experience in full stack development. Strong understanding of web development fundamentals including HTML, CSS, and modern JavaScript/TypeScript. Knowledge of common frontend web development frameworks (e.g., Angular, React, Vue). Interest in backend development. Experience with 3rd party integrations and public APIs We prefer: Familiarity with Google infrastructure (e.g. Flume, Borg, Protocol Buffers, OnePlatform) or GCP equivalent Backend experience in Java, Python, Go, C++ or similar. Working knowledge of frontend frameworks (e.g. Angular, Dart) Scalability experience Experience in the automotive industry The expected base salary range for this full time position across US locations is listed below. Actual starting pay will be based on job related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range: $170,000 - $216,000 USD

Opto is engineering the future of private markets to improve client outcomes and drive capital to the most transformative ideas. The opportunity is huge. The global alternative investments industry was worth an estimated $16.8T at the end of 2023, and is forecast to grow to $29.2T by 2029. However the private investment process typically remains opaque, highly manual, and error-prone, which limits access to the select few insiders who are willing to bear the pain. Opto is a revolutionary end-to-end solution for wealth managers of any size-from small investment advisors to large multi-family offices to private banks-to build, fundraise for, and manage private markets programs at scale. We combine exceptional Silicon Valley engineering talent with experienced investors and industry specialists to fix this broken system through the power of technology. Our platform banishes the nightmare of slide decks, spreadsheets, and paperwork to the past, and arms our clients with the tools, data, and guidance to identify and access the right opportunities for their clients. Fixing private markets will not be easy and demands courage, but we're not afraid to do things differently. We are unapologetically bold. We value strong opinions, clear communication, and purposeful execution. Up for the challenge? Come join us. The Role Software Engineers at Opto are tasked with the challenge of turning complex business problems into elegant and pragmatic engineering solutions. We are context-driven, customer- and stakeholder-empathetic builders of tools and systems. We are end-to-end owners of engineering problems and solutions who constantly challenge one another to evolve as builders and collaborators. Oh, and we have fun along the way, because otherwise, what's the point? Check out our blog to learn more about our tech culture here. Our tech stack consists of a series of React-based Next.js TypeScript applications hosted in Vercel. Behind that a collection of Aurora-backed Python REST API services are hosted as containerized applications in AWS. We make use of AWS Lambda for asynchronous tasks and we rely on Snowflake for data ingestion and warehousing. Our service deployments are completely automated and execute multiple times daily. Our tech stack continues to evolve, driven by our shared principles of optimizing for modularity, scalability, and team-level service ownership. Be accountable for the delivery of high quality software projects in coordination with teammates and stakeholders on mutually agreed upon timelines Seek context and rapidly iterate on solutions to eliminate ambiguity and drive projects forward Participate actively in all phases of product development across specification, implementation, QA testing, deployment, and operations Foster a culture of collaboration by actively engaging in discussions, documentation, and code review Participate actively in engineering recruiting (interviewing, problem specification, role ownership, etc) Raise your hand when you need help - don't hesitate to reach out to stakeholders (product, teammates, managers, etc) to unblock your progress Qualifications 4-year technical degree (or equivalent work experience) 4+ years software development experience Experience using React to build feature-rich user interfaces Experience working with design systems and building styled, reusable components Experience with automated frontend testing patterns such as Jest / Playwright Demonstrated background / interest in investment management Comfort with ambiguity and the ability to execute in a fast-paced startup environment Excellent communication skills and grace under pressure Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. How to Apply Please fill out the below fields, and attach a Resume and Cover Letter. Why a Cover Letter? We receive a high volume of applicants, and we have real humans that read each and every resume, we encourage you to use creativity in your Cover Letter and speak directly to why you want to join our team! We will review your resume in as timely a manner as we are able to, so kindly refrain from reaching out to hiring managers or other Opto team members via email or LinkedIn, as this won't improve or fast track your application. Compensation and Benefits Opto has a high bar for talent, and we are committed to building the best teams possible. Candidates are never subjected to discrimination based on race, citizenship, religion, ethnicity, gender or gender identity, sex, pregnancy, national origin, age, sensory, mental, or physical disability, or any other characteristic. The successful candidate for this role can expect a generous compensation and benefits package. The cash salary range for this role is $160,000-$240,000 dependent on skills, experience and expected contribution. All full time employees at Opto enjoy: Health, dental, and vision insurance Unlimited PTO Retirement savings plan (401k) Learning, Fitness, & Commuter stipends Paid Holidays This position is based primarily onsite in either our San Francisco or New York City offices. At this time, Opto can only hire candidates who reside in the following states: California, Colorado, Florida, Idaho, Illinois, Maine, Maryland, Nevada, New Jersey, New York, North Carolina, North Dakota, Pennsylvania, Rhode Island, Tennessee, Texas, Virginia, and Washington. If you do not currently live in one of these states, you must relocate to an approved state or have a confirmed address there prior to your start date.

Overview Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI. This position will be a key contributor in conducting applied research in Robotics and developing ML pipelines for training and fine-tuning on data collected by Scale. In this role, you will have the opportunity to advance Robotic research, shape Scale's robotics offerings, and expand the frontier of Robotics data and model evaluation. You will Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g. point clouds). Focus Area Expertise: Drive innovation in key perception areas, including: 3D Reconstruction and SLAM: Real-time 3D mapping, pose estimation, and environmental modeling from multi-modal sensor inputs (e.g., RGB-D, LiDAR). Hand/Body Tracking: Models for hand pose estimation, gesture recognition, and full-body tracking under varying lighting and occlusion. Object Detection and Tracking (MOT/SOT): High-performance models for detection and persistent tracking of objects and people in video streams. Video Processing: Temporal feature extraction, video-based action recognition, and motion analysis. Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large-scale cloud infrastructure. Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross-functional teams. Publication & IP: Maintain state-of-the-art knowledge, evaluate recent academic publications, and drive the filing of patents and publication of novel research. Cross-Functional Partnering: Collaborate with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and meet performance targets. You have Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master's degree with 4+ years of equivalent professional experience in an applied research setting. 5+ years of hands-on experience in algorithm development for 2D/3D computer vision and deep learning. Deep Learning Frameworks: Proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance-critical algorithm implementation. 2D/3D Fundamentals: In-depth knowledge of classical and modern computer vision fundamentals, including multi-view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real-time and batch ML systems that analyze structured and unstructured signals. Hands-on experience rapidly prototyping and iterating on ML systems with changing requirements. Nice to have Deep Learning Frameworks: Proficiency in PyTorch, TensorFlow or Jax. Programming: Python for ML and C++ for performance-critical implementation. 2D/3D Fundamentals: Computer vision fundamentals including multi-view geometry, camera calibration, and 3D rendering principles. Building real-time and batch ML systems that analyze structured and unstructured signals. Hands-on experience prototyping and iterating on ML systems with changing requirements. Compensation and benefits Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board approval. You'll also receive benefits including health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend. Location and salary The base salary range for this full-time position in the location of San Francisco is: $218,400-$273,000 USD Notes PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work with industry partners and government agencies to accelerate the development of AI applications. Equal opportunity We are an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. Accessibility We are committed to providing reasonable accommodations to applicants with disabilities. If you need assistance in the application process, please contact . Please see the United States Department of Labor Know Your Rights poster and Pay Transparency provisions for additional information. We collect, retain and use personal data for our professional business purposes in accordance with our privacy policy.

GlossGenius is building an ecosystem enabling entrepreneurs to succeed. We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing and much more. Over 90,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one. About the Role GlossGenius has grown significantly, supporting tens of thousands of customers and seeing billions of transaction volumes on our platforms. As our customers continue to grow their businesses, we want to enable them to be more successful. For that, we're building AI features that will transform how our customers operate and grow their businesses That's why we are seeking strong Software Engineers, All levels to join one of our Product or Platform-based teams. Product-focused engineers work at the intersection of business needs and technical solutions, solving key customer problems. Platform-focused engineers build scalable, reliable, and extensible systems that empower product teams to move faster, deliver with quality, and focus on customer value. This role is remote from the San Francisco Bay Area. What We Work With We are open to hearing from candidates who know different programming languages and are excited to learn more and grow their skills. Our current stack: Kotlin (micronaut, jooq), Ruby (Rails, Sidekiq), gRPC, protobuf React Native AWS, Kubernetes, Postgres and Terraform What You'll Do As a Software Engineer at GlossGenius, you'll play a critical role in shaping a platform that powers over 90,000 small businesses and processes more than $3 billion in payments annually. Engineers work on high-impact initiatives that support our rapid growth and evolving scale. Examples of your potential responsibilities include: Develop, release, and run large-scale web applications that empower beauty and wellness businesses to operate and grow. Build new AI features for our customers. Develop and define our microservice-based infrastructure. Build tools and solutions that enable internal teams to work faster, more effectively, with more confidence, and improve the value they can provide our users (Business Scalability team). Work on core experiences such as making payments friction-free for clients and customers, building tools to help customers earn more per hour, or enabling businesses to effortlessly grow and manage their teams. Focus on front-end development, crafting intuitive and engaging user experiences for our web and mobile applications. Improve performance, reliability, scalability, and security for our backend systems. What We're Looking For 2+ years of professional experience in software development. A Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. A strong desire to move fast and have a significant impact. An entrepreneurial mindset, eager to take ownership and contribute new ideas to solve challenging problems. Ability to analyze and improve efficiency, scalability, and stability of various system resources. Demonstrates strong collaboration skills and team spirit. Flexible PTO Competitive health & dental insurance options, with premiums partially or fully covered by GG In-person opportunities that are designed to help team members foster collaboration and build community (ie; working out of a co-working space, team dinners, and other team building activities) Fertility and adoption benefits via Carrot Generous, fully-paid parental leave policy 401k benefit - employees are eligible to contribute starting day 1 of employment Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses Dependent Care FSA Home office support The starting base salary for this role in San Francisco is between $150,000-$230,000+ target equity + benefits. The base salary offered is dependent upon many factors including skills, experience , location, and education. The base pay range is subject to change and may be modified in the future. Additionally, this role is currently eligible to participate in GlossGenius's equity plan as well as a range of health & wellbeing, retirement savings, and other benefits within our total rewards offering. At GlossGenius, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. GlossGenius is proud to be an Equal Opportunity and Affirmative Action Employer. Agency Submissions If a resume or applicant is submitted to GlossGenius by a third party without a signed search agreement in place, it will become the property of GlossGenius and no fee will be paid, irrespective of whether the candidate is hired. Apply for this job indicates a required field First Name Last Name Preferred First Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile What programming languages are you proficient in? Are you able to work remote from the San Francisco Bay Area? Select Are you legally authorized to work in the US? Select Do you now or will you in the future require sponsorship for work authorization in the US? Select We're a high-growth startup looking to work with ambitious people with a history of exceptional performance. In two paragraphs or less, please share a specific example where you went above and beyond.

Apply for the Senior Engineer role at The Atlantic. Overview The Atlantic is looking for an innovative, analytical, and curious Senior Engineer. We aim to support a more thoughtful American public by powering and expanding our Pulitzer Prize-winning journalism. Guided by our readers and informed by data, you will build products to amplify our impact and reach in this role. We pride ourselves on maintaining an inclusive and diverse culture that values continuous learning, elegant problem solving, supportive teamwork, and delivering value. Minimum Qualifications 6+ years of full stack software development experience, including 3+ years of full stack web development (frontend and backend) Professional experience with JavaScript/TypeScript and at least one backend language (Python preferred) Experience deploying and maintaining production systems using cloud infrastructure (AWS or GCP), containerization, and CI/CD pipelines Preferred Qualifications Experience with React/React Native, Django, GraphQL, and infrastructure tools (Docker, Terraform) 2+ years in a technical leadership role (leading projects, mentoring, or architectural decisions) Experience designing scalable systems and working with AWS/GCP cloud services Background in media/publishing platforms with third party integrations and data pipelines Responsibilities Write, test, debug, document, and deploy code across our full stack. Partner with Product and Design teams to translate ambiguous requirements into well scoped technical solutions. Participate in code reviews, stand ups, sprint planning, retrospectives, and technical documentation. Participate in on call rotation (outside of standard business hours) to monitor, troubleshoot, and resolve production incidents, ensuring system reliability and uptime. Research and recommend technical solutions for future product features, evaluating new technologies and presenting recommendations with clear trade off analysis. Demonstrate technical leadership by mentoring engineers, establishing best practices, and helping maintain quality standards across the engineering department. Work flexible hours, including nights, early mornings, and weekends, as required. Candidate Profile Proficient in modern full stack web development and able to design RESTful or GraphQL microservices, run apps locally in Docker, and deploy to production. Strong knowledge of established architectures and industry best practices, staying current with security, accessibility, and performance standards. Curious and open to new solutions and industry trends, evaluating whether new technology truly solves a problem. Excellent communicator, explaining technical concepts to non technical colleagues and providing constructive code review feedback. Pragmatic technologist who seeks the simplest viable solution while balancing current and near term needs. Critical thinker who breaks product requirements into technical tasks, identifies dependencies and risks, and executes with minimal oversight. Adaptable and enthusiastic about working on varied projects of different sizes, using different technologies. Team player who offers help, shares knowledge, encourages collaboration, and thrives in a discussion driven environment. Committed to the pursuit of truth, recognizing the importance of journalism and wanting to help it thrive. Compensation Salary minimum: $115,000; salary maximum: $150,000. Employment Type Full time; Guild Position. About The Atlantic The Atlantic has, for more than 160 years, advanced ideas that matter and sparked global conversation on the most important issues of our time. We aim to bring clarity and original thinking to questions of consequence, on topics ranging from politics, the economy, and global affairs to technology, science, and culture. As the third longest running magazine in America, we find ourselves at a remarkable moment: one of both continuation and transformation, of upholding our legacy while continuously reinventing ourselves for the future. Equal Opportunity The Atlantic Monthly Group LLC ("The Atlantic") is an Equal Opportunity Employer. We are committed to diversity and encourage members of traditionally underrepresented communities to apply, including women, LGBTQ people, people of color, and people with disabilities. We do not discriminate against applicants because of race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law. COVID 19 Vaccination Policy Job offers to work at The Atlantic are contingent upon the candidate's successful completion of reference checks and compliance with The Atlantic's COVID 19 vaccination policy. The Atlantic requires all employees to be vaccinated against COVID 19, including subsequent boosters, and submit proof of vaccination status. Employees who cannot receive the vaccine because of a disability/medical contraindication or sincerely held religious belief may request an accommodation (e.g., an exemption) to this requirement.

A leading AI company is looking for a Senior Full-Stack Engineer to own major product areas and drive features from design through production deployment. This role requires strong experience in developing full-stack applications with React, TypeScript, and Python, as well as a background in scaling products at high-growth startups. The ideal candidate will tackle complex challenges in scalability and reliability while ensuring a top-notch product experience. This position offers a competitive salary range of $216,200 - $270,250 USD in New York.

About Glean Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry's most advanced enterprise search has evolved into a full scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context aware responses for every employee. This foundation powers Glean's agentic capabilities - AI agents that automate real work across teams by accessing the industry's broadest range of data: enterprise and world, structured and unstructured, historical and real time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World's Most Innovative Companies (Top 10, 2025), by CNBC's Disruptor 50, Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50 industries and 1,000 employees in more than 25 countries, we're helping the world's largest organizations make every employee AI fluent, and turning the superintelligent enterprise from concept into reality. If you're excited to shape how the world works, you'll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role Glean is seeking an Infrastructure Engineer to build and evolve the platform that powers a highly available, performant, secure and cost effective infrastructure across all clouds. You'll deliver complex components with elegant automation, robust uptime guarantees, autoscaling, and reliable alerting/monitoring for infrastructure that runs across multiple cloud providers. As part of the Platform team, you'll be responsible for critical pieces of Glean's infrastructure, working closely with several other teams to support their workloads. You Will Oversee the entirety of your greenfield features from inception to implementation, experimentation, launch and beyond Provide leadership and mentor more junior engineers Work with designers, product managers, data scientists, and other engineers to understand our problem space and create elegant solutions Write robust code that's efficient, easy to read, maintain and test About You Bachelor's degree (or equivalent) in Computer Science or related field 3 years of experience in a role working with AWS and/or GCP IaaS services eg. compute, object storage, iam, networking, vpc. Experience with Terraform, K8s (GKE/EKS), Data Pipelines (Beam/Flink/Kafka/PubSub/SQS), ML Pipelines, Object Storage (S3/GCS), Big Query, etc. is a plus. Experience managing large scale cloud infrastructure with IaC. Highly proficient with modern Unix/Linux operating systems/distributions Experience defining SLOs/SLIs and implementing monitoring, alerting, and runbooks. Adaptable. Goals can change fast. You anticipate and react quickly. Autonomous. You own what you work on. You move fast and get things done. Excellent communication. You will need to communicate complex ideas effectively to both technical and non technical audiences, and both verbally and in writing. Collaborative. You must work collaboratively in a cross functional team and with people at all levels in an organization. Location This role is hybrid (3 4 days a week in one of our SF Bay Area offices) Compensation & Benefits The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Benefits We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time off policy, and the opportunity to contribute to your 401k plan to support your long term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipend to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. Diversity & Inclusion We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

A software solutions company based in San Francisco is seeking a skilled Software Engineer to join their Product Engineering team. The ideal candidate will have over 4 years of experience in software engineering, expertise in TypeScript and JavaScript, and a strong ability to contribute to full-stack development. This role focuses on impactful product features and collaboration with peers in a dynamic environment.

About the Team OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We are seeking a highly skilled cross-stack engineer with deep expertise in making ML systems reliable at scale. This hands-on individual contributor will sit within our hardware team and work closely with chip design, platform design, hardware health, and the broader industry ecosystem to architect, implement, and deploy reliable next-generation AI accelerator systems. This engineer will evaluate system and chip architecture holistically, identify high-ROI opportunities to improve reliability and availability across the stack, and translate those opportunities into strategy and silicon features. In this role, you will Oversee DFX architecture, implementation, and execution in silicon from concept to high-volume deployment, and propose high-ROI features to enhance reliability and fault tolerance. DFX includes design for testability, reliability, availability, and serviceability of high-performance AI hardware. Build system-level reliability models grounded in empirical data to guide organization-wide DFX and reliability strategy. This requires a detailed understanding of chip and system architecture, design, implementation, and component-level reliability. Collaborate with chip and platform architecture/design teams to explore and implement DFX features, including the specification and implementation of digital/mixed-signal IP, firmware/system software, and DFX methodology (in partnership with engineering teams). Partner with hardware health and platform design teams to continuously improve reliability and fault tolerance in NPI and HVM. This includes optimizing operating conditions, designing experiments, and performing data analysis to drive continuous, data-driven improvements across the stack. Serve as the DFX/reliability champion and evangelist to align the broader industry ecosystem with OpenAI's requirements and roadmap. Qualifications BS with 15+ years, MS with 10+ years, or PhD with 3+ years of relevant industry experience focused on reliability across the chip/platform stack. Hands-on experience with RTL design and DFT is required; physical implementation and/or silicon ATE experience is preferred. Detailed understanding of ML chip and platform architecture and ML workload characteristics is required. Strong fundamentals in reliability modeling, with hands-on skills in empirical data analysis. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Our team is passionate about solving big challenges in healthcare and transforming the field of pathology with artificial intelligence. Staff Site Reliability Engineer - Data pero Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drugéricas sviluppo, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit We're looking for a skilled staff level Site Reliability Engineer focused on designing, building, and operating our hybrid cloud/on-prem environment. What You'll Do If you're the right candidate, you'll be exercising all the skills you have and building new ones along the way: Advancing the state of our operations by implementing SRE best practices - focusing on users, monitoring, and automation. Engineering infrastructure patterns for cloud environments in Amazon Web Services - building in security, reliability and scalability. Designing, building, and operating our data center to support our rapidly growing Machine Learning team. Integrating on-premises datacenter environments with existing cloud infrastructure to create a seamless hybrid cloud environment. Improving the reliability and resilience_Intensive of our infrastructure through root-cause analysis and reviewing gaps in designs, and implementations of our infrastructure. Participating in platform on-call rotations and assisting with urgent incident response. What You Bring Our employees' skills come in all shapes and sizes, but to be successful in this role with us, you'll at least need: 8+ years of relevant experience. Automation: You work hard to eliminate toil by automating everything through scripting, configuration management tools (Ansible), and code (Python/GoLang). You've built monitoring infrastructure with modern observability tools (Datadog/Grafana/Prometheus). You've worked with infrastructure as code (Terraform/Cloudformation). You've administered physical hardware stacks in production settings (iDRAC/IPMI/Nvidia UFM/Juniper Systems). You're opinionated on storage solutions and how they can be optimized for high performance workloads (Quobyte/S3/FSx/EFS). Familiarity with modern network designs and comfort operating across network layers. Some experience and opinions on virtualization, containerization, or container orchestration platforms. (EKS/ClusterAPI/K residuos). Operations experience: You've managed critical production infrastructure and are familiar with incident response, scaling, and rapid growth related challenges. A bachelor's degree in Computer Science or equivalent experience. An insatiable intellectual curiosity and the ability to learn quickly in a complex space. Travel: Willingness to travel up to 25% of the time. We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be"We Want To Hear From You" exactly what we're looking for. PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications - that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way. The cash compensation outlined below includes base salary or hourly wage and on-target commission for employees in eligible roles. The summary below indicates if an employee in this position is eligible for annual bonus, overtime pay ,and equity awards. Individual compensation packages are tailored based on skills, experience, qualifications, and other job-related factors.

Overview We are hiring for one of our ecosystem projects, an innovative AI and Web3 company building an Ethereum Layer 2 solution integrated with advanced AI agents. As the first engineer dedicated to this initiative, you will play a pivotal role in its development, with potential opportunities to build and lead a team in the future. Key Responsibilities Design and implement AI platforms, encompassing both front-end interfaces and back-end services. Collaborate with other developers and AI engineers on data preprocessing, model training, and optimization. Deploy AI models into production environments, ensuring performance, scalability, and reliability. Develop and maintain data processing pipelines to ensure data quality and consistency. Stay updated on AI technology trends, advocating for the integration of new technologies into our products. Contribute to other projects based on the company's product development progress. Requirements Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related field. 5 years of full-stack development experience, proficient in both front-end and back-end technologies. Expertise in front-end and back-end technologies (especially Golang). Eager to explore and could use new technologies related to AI that help improve working efficiency. Strong curiosity and willingness to explore new product directions, identify potential AI applications, and contribute to product innovation. Familiarity with Web3, blockchain, and the crypto industry, with insights into different product models and a personal perspective on industry trends and innovations. Excellent communication skills and a collaborative team spirit, with the ability to independently solve problems and take initiative. Preferred Qualifications Knowledge in data processing and analysis will be a plus, with knowledge of SQL and NoSQL databases such as MySQL, PostgreSQL, or MongoDB. Experience in deploying and optimizing AI agent. Experience contributing to open-source projects. Build high-performance APIs and microservices to support large-scale Web3 application. Familiarity with large-scale data processing technologies such as Hadoop or Spark.