Infrastructure Software Engineer

Position Overview

• Location Type: Remote
• Employment Type: Full-Time
• Salary: $150K - $200K

Baseten is a rapidly growing startup revolutionizing AI deployment with cutting-edge inference infrastructure. Backed by investors like IVP, Spark Capital, Greylock, and Conviction, we're trusted by leading enterprises and AI-driven innovators (including Descript, Bland.ai, Patreon, Writer, and Robust Intelligence) to deliver top-tier performance, security, and reliability for their production workloads. With recent $75 million Series C funding, we're poised to accelerate our mission to make AI accessible across all products. If you're passionate about tackling impactful challenges and building transformative solutions, we invite you to join us!

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.

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

• Bachelor’s degree or higher in Computer Science or related field.
• 1-3 years experience in software engineering or infrastructure.
• Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus.
• Working knowledge of Kubernetes and containerization.
• Basic understanding of machine learning concepts and model serving.
• Familiarity with distributed systems concepts.
• Experience with basic monitoring and logging tools.
• Interest in ML/AI infrastructure and willingness to learn.
• Strong collaboration and communication skills.

Benefits

• Competitive compensation package (Unlimited PTO, 401k, covered healthcare premiums, remote-first culture).
• A unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields.
• An inclusive and supportive work culture that fosters learning and growth.
• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Application Instructions

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.