ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: Multi-cloud capacity management Inference on B200 GPUs Multi-node inference Fractional H100 GPUs for efficient model serving RESPONSIBILITIES Develop infrastructure components for our ML inference platform using Python and Go Implement and maintain Kubernetes deployments for model serving Contribute to our inference orchestration layer for model deployments Build and enhance monitoring systems for model performance metrics Implement efficient resource management solutions for ML workloads Support infrastructure automation to improve ML deployment workflows Work closely with team members to implement technical solutions Help balance performance optimization with system reliability Participate in technical discussions around infrastructure improvements Learn and apply infrastructure best practices REQUIREMENTS BENEFITS Competitive compensation, including meaningful equity. 100% coverage of medical, dental, and vision insurance for employee and dependents Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) Paid parental leave Company-facilitated 401(k) Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Senior Infrastructure Software Engineer at Baseten, you'll architect and lead development of our ML inference platform that powers production AI applications. You'll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor ML models with high performance and reliability. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: Multi-cloud capacity management Inference on B200 GPUs Multi-node inference Fractional H100 GPUs for efficient model serving RESPONSIBILITIES Design and architect scalable infrastructure systems for our ML inference platform Lead optimization of Kubernetes deployments for efficient, cost-effective model serving Drive enhancements to our inference orchestration layer for complex model deployments Define monitoring strategies for model performance, latency, and resource utilization Develop advanced solutions for GPU capacity management and throughput optimization Establish infrastructure automation standards to streamline ML deployment workflows Partner with other engineers to translate complex inference requirements into technical solutions REQUIREMENTS Bachelor's degree or higher in Computer Science or related field 5+ years experience building production infrastructure systems Expert-level proficiency in Go, with Python experience a plus Deep expertise with Kubernetes in production environments Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius) a plus. Advanced understanding of distributed systems concepts and performance tuning Proven experience designing observability systems Track record of leading technical initiatives and mentoring engineers Experience with ML/AI workloads and MLOps platforms highly valued BENEFITS Competitive compensation, including meaningful equity. 100% coverage of medical, dental, and vision insurance for employee and dependents Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) Paid parental leave Company-facilitated 401(k) Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn't work together. So we expanded into software and started building integrated, omnichannel solutions - to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we've embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale. Today, we are a partner to sellers of all sizes - large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We're building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same. The Role Our mobile developers keep Block's products simple and make our users faster and smarter by delivering exceptional user experiences and rich data insights. We're looking for engineers of all shapes and sizes, who are excited about contributing to outstanding software and solving hard problems. Our challenges span many technologies, including iOS and Android mobile applications. As a mobile developer at Block, you will work on a small team with people across engineering, product, and creative to build products that serve millions of users across our ecosystem. You Will Collaborate with fellow mobile developers to develop, test, and release high quality apps for our users Ensure Block's products work right, every time, by using testing, continuous integration, and in-depth code reviews Create interactions and APIs that promote trust, increase security, and make it harder to do the wrong thing Contribute to the success of your team's projects and development Envision entire new products, features, and flows that are inspired, considered, and magical You Have Pursuing degree in Computer Science, Electrical Engineering, Math or related technical field, graduating between May 2027 and May 2030. We also consider recent bootcamp graduates and engineering training participants within three months of completing program/training requirements.

DevDocs is a fully remote company that hires developers to build documentation and docs tooling for clients like Qualcomm, American Express, and C3 AI. We don’t hire writers, and we don’t just crank out docs: our close-knit team is full of technical experts who can deeply understand a client’s products, consult on their problems, then design tools and systems to automate their docs processes (and write the most important docs). What you’ll do This role lives somewhere between engineer, teacher, and toolmaker. You’ll: Get dropped into new tech, figure it out fast, and make it make sense. Build tools and AI workflows to make every project smoother. Write docs that matter and figure out how to systematize them. Untangle messy knowledge structures and design something better. Ask detailed questions, get to the root of things, and make it simpler. Improve DevDocs itself - processes, tooling, weird experiments welcome. What we’re looking for You pick things up fast and figure stuff out without needing a map. You write like you talk: clearly and directly. You think like an engineer and enjoy solving puzzles. You’ve worked with clients or stakeholders and enjoy being social. You’ve built projects for fun - or because something annoyed you enough to fix it. Company culture Remote. U.S. timezone overlap, but otherwise flexible. No grind. 40 hours/week. We actually mean it. Real ownership. You’ll ship work and see it used. Learning built-in. We carve out time and budget for it. Room to grow. Projects shift, ideas evolve, roles expand. If you want to stretch, we’ll make space. Requirements Benefits The fine print 1099 Contractor (Ongoing). Full-time (40hrs/week). $40-75/hr based on experience and qualifications. PTO, Holiday pay, & Sick Leave Raises are common after 6-12 months. Monthly learning stipend. Must be authorized to work in the U.S. or Canada. No sponsorship available.