UNKNOWN

FEED

Engineers build custom integrations and workflow extensions tailored to customer-specific requirements, lead deployments at customer sites, and serve as technical contributors for complex issues across the Catalyst stack. Engineers here own the agentic infrastructure: tool surfaces, orchestration, prompt pipelines, evaluation harnesses, and the backend APIs that make AI-enabled workflows safe and observable.

Ginkgo Bioworks

Software Engineer 2, Autonomous Lab

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Engineers build custom integrations and workflow extensions tailored to customer-specific requirements, lead deployments at customer sites, and serve as technical escalation points for complex issues across the Catalyst stack. Engineers on this team translate complex real-world scheduling problems - resources, time windows, throughput, precedence - into production solvers and heuristics, and build the simulation and observability infrastructure to keep the scheduler performant and reliable.

YEAR

Senior Software Engineer, Autonomous Lab

Some days are more collaborative - joining design reviews or scoping sessions with developers - while others are focused solo time on your test floor running through scenarios and documenting results. We are a smart team of doers that work passionately to apply advances in robotics and software to solve real-world challenges that will transform our customers" experiences.

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life. 
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet. 
It’s Always Day 1 
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter <a href="https://hiring.amazon.com/why-amazon/culture#/">here</a> 
Our Leadership Principles 
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit <a href="https://www.amazon.jobs/principles" target="_blank">https://www.amazon.jobs/principles</a>

Amazon.com Inc

Quality Assurance Engineer I, Amazon Robotics Systems Quality and Performance Engineering

We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $600K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day.

AssemblyAI

Senior GTM AI Engineer

GreenHouseAPI

Our industry-leading precision instruments, digital immunoassay technology and CLIA-certified Accelerator laboratory have supported research that advances disease understanding and management in neurology, oncology, immunology, cardiology, and infectious disease. ROLE SUMMARY: We are seeking a highly motivated Scrum Master / Cloud Software Engineer who will both lead Agile development practices and actively contribute to the design, development, and deployment of modern cloud applications.

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Software Engineer 2, Autonomous Lab Ginkgo Bioworks

Senior Software Engineer, Autonomous Lab Ginkgo Bioworks

Quality Assurance Engineer I, Amazon Robotics Systems Quality and Performance Engineering Amazon.com Inc

Senior GTM AI Engineer AssemblyAI

Scrum Master / Cloud Software Engineer Quanterix Corp

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