Company Name: Baseten

Job Details: $200-270kOffers,EquityKubernetesAWSGCPPythonGoDigitalOceanSenior,and,Expert,levelNew,YorkSan,Francisco,Bay,AreaRemote,from,US

Job Url: https://app.welcometothejungle.com/jobs/dsClXiMx?theme=take-another-look

Job Description: RoleWho you areBachelor's degree or higher in Computer Science or related field5+ years experience building production infrastructure systemsExpert-level proficiency in Go, with Python experience a plusDeep expertise with Kubernetes in production environmentsExtensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius) a plusAdvanced understanding of distributed systems concepts and performance tuningProven experience designing observability systemsTrack record of leading technical initiatives and mentoring engineersExperience with ML/AI workloads and MLOps platforms highly valuedWhat the job involvesAs a Senior Infrastructure Software Engineer at Baseten, you'll architect and lead development of our ML inference platform that powers production AI applicationsYou'll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor ML models with high performance and reliabilityDesign and architect scalable infrastructure systems for our ML inference platformLead optimization of Kubernetes deployments for efficient, cost-effective model servingDrive enhancements to our inference orchestration layer for complex model deploymentsDefine monitoring strategies for model performance, latency, and resource utilizationDevelop advanced solutions for GPU capacity management and throughput optimizationEstablish infrastructure automation standards to streamline ML deployment workflowsPartner with other engineers to translate complex inference requirements into technical solutionsMake critical architectural decisions balancing performance with system reliabilityLead technical discussions and mentor junior engineers on infrastructure best practicesContribute to long-term technical strategy and infrastructure roadmapShare this jobReport a problem with this jobHide companyView 33 more jobs at BasetenCompanyCompany benefitsRemote-first work environment. The Baseten team is welcome to work from wherever they want; fully remote, in our San Francisco office, or a mix of both. Today, our team (including our founding team) is spread across the United States, Canada, and Armenia. We provide a $1,000 stipend for you to make your home-office comfortable and productiveRegular in-person team summits. We get together as a team three times a year to plan, workshop, and most importantly, get to know each other betterUnlimited PTO. We ask that everyone take at least 4 weeks of vacation. And we have a company-wide break between Christmas and New Year's DayFull healthcare coverage. Medical, dental and vision insurance for you and your familyPaid parental leave. 16-weeks fully paid parental leave (adoptive and non-birth parents included) and flexibility with schedules while returning to workCompany-sponsored 401(k) for you to contribute toLearning and development budget. We encourage you to take classes, attend conferences, and invest in your craft and we’ll cover expenses to make it happenFunding (last 2 of 5 rounds)Sep 2025$150mSERIES DFeb 2025$75mSERIES CTotal funding: $285mOur takeAs with its mathematical namesake, Baseten focuses on simplifying the complex. The San Francisco startup focuses on simplifying the integration of artificial intelligence into businesses. The tools that Baseten built demolish the need for businesses to hire specialised engineers, utilising the huge strides in artificial intelligence that we’ve seen in the last few years without adding workload to businesses.With serious funding behind it, Baseten has grown its team by three times year-over-year over the last five years, especially across engineering and marketing. Having hired talent from companies such as GitHub, Google, Uber, Amazon, and Palantir, part of Baseten's focus is on helping companies implement the tools that they have at their disposal, a long-overlooked aspect of machine learning that many businesses have been eager to champion, but uncertain on how to actually use.Simplifying the complex world of artificial intelligence for business is no mean feat but the three founders, who met whilst working as engineers at Gumroad, have a lot of experience in how to navigate this gap in the market.KirstyCompany Specialist at Welcome to the Jungle